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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">WASJ</journal-id>
<journal-title-group>
<journal-title>World Academy of Sciences Journal</journal-title>
</journal-title-group>
<issn pub-type="ppub">2632-2900</issn>
<issn pub-type="epub">2632-2919</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">WASJ-6-3-00240</article-id>
<article-id pub-id-type="doi">10.3892/wasj.2024.240</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of the COVID‑19 pandemic on emergency transport times for patients with urological diseases</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Minami</surname><given-names>Marina</given-names></name>
<xref rid="af1-WASJ-6-3-00240" ref-type="aff">1</xref>
<xref rid="af2-WASJ-6-3-00240" ref-type="aff">2</xref>
<xref rid="c1-WASJ-6-3-00240" ref-type="corresp"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Miyauchi</surname><given-names>Masato</given-names></name>
<xref rid="af3-WASJ-6-3-00240" ref-type="aff">3</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Eitoku</surname><given-names>Masamitsu</given-names></name>
<xref rid="af2-WASJ-6-3-00240" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kawauchi</surname><given-names>Atsufumi</given-names></name>
<xref rid="af4-WASJ-6-3-00240" ref-type="aff">4</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Fukuhara</surname><given-names>Hideo</given-names></name>
<xref rid="af5-WASJ-6-3-00240" ref-type="aff">5</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ashida</surname><given-names>Shingo</given-names></name>
<xref rid="af5-WASJ-6-3-00240" ref-type="aff">5</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Karashima</surname><given-names>Takashi</given-names></name>
<xref rid="af5-WASJ-6-3-00240" ref-type="aff">5</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Inoue</surname><given-names>Keiji</given-names></name>
<xref rid="af2-WASJ-6-3-00240" ref-type="aff">2</xref>
<xref rid="af5-WASJ-6-3-00240" ref-type="aff">5</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Suganuma</surname><given-names>Narufumi</given-names></name>
<xref rid="af2-WASJ-6-3-00240" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Nishiyama</surname><given-names>Kingo</given-names></name>
<xref rid="af3-WASJ-6-3-00240" ref-type="aff">3</xref>
</contrib>
</contrib-group>
<aff id="af1-WASJ-6-3-00240"><label>1</label>Integrated Center for Advanced Medical Technologies (ICAM-Tech), Kochi Medical School, Kochi University, Nankoku, Kochi 783-8505, Japan</aff>
<aff id="af2-WASJ-6-3-00240"><label>2</label>Department of Environmental Medicine, Kochi Medical School, Kochi University, Nankoku, Kochi 783-8505, Japan</aff>
<aff id="af3-WASJ-6-3-00240"><label>3</label>Department of Disaster and Emergency Medicine, Kochi Medical School, Kochi University, Nankoku, Kochi 783-8505, Japan</aff>
<aff id="af4-WASJ-6-3-00240"><label>4</label>Department of Health Policy, Kochi Prefectural Government, Kochi City, Kochi 780-8570, Japan</aff>
<aff id="af5-WASJ-6-3-00240"><label>5</label>Department of Urology, Kochi Medical School, Kochi University, Nankoku, Kochi 783-8505, Japan</aff>
<author-notes>
<corresp id="c1-WASJ-6-3-00240"><italic>Correspondence to:</italic> Dr Marina Minami, Integrated Center for Advanced Medical Technologies (ICAM-Tech), Kochi Medical School, Kochi University, Kohasu, Oko, Nankoku, Kochi 783-8505, Japan <email>doctor_heart_wanglijun@email.ncu.edu.cn marina.minami@kochi-u.ac.jp </email></corresp>
<fn><p><italic>Abbreviations:</italic> SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; UTIs, urinary tract infections</p></fn>
</author-notes>
<pub-date pub-type="collection">
<season>May-Jun</season>
<year>2024</year></pub-date>
<pub-date pub-type="epub">
<day>29</day>
<month>03</month>
<year>2024</year></pub-date>
<volume>6</volume>
<issue>3</issue>
<elocation-id>25</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: © 2024 Minami et al.</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.</license-p></license>
</permissions>
<abstract>
<p>The coronavirus disease 2019 (COVID-19) pandemic disrupted global healthcare systems. The present study aimed to determine the impact of lockdown restrictions on the time required to transport patients with urological diseases with fever to the hospital during the early stages of the COVID-19 pandemic. The present retrospective, observational study analyzed information about the transport of 2,811 patients with urological emergencies to hospitals retrieved from a prefectural database, an emergency medical and disaster information system. Differences in emergency transport in terms of duration were analyzed using Student's t-tests. Bivariate associations before and after the onset of COVID-19 were assessed using simple linear and multiple regression analyses. The results indicated a significant association between the mean transport duration and fever in these patients before quarantine (β=5.57; 95% confidence interval, 1.93-9.21). The duration of emergency transport for patients with urological diseases with fever in significantly increased. This was attributed to lifestyle changes brought about by the COVID-19 pandemic.</p>
</abstract>
<kwd-group>
<kwd>patients with urological diseases</kwd>
<kwd>transport</kwd>
<kwd>ambulance</kwd>
<kwd>emergency</kwd>
<kwd>fever</kwd>
<kwd>coronavirus disease</kwd>
<kwd>pandemic</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> No funding was received.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>The ongoing coronavirus disease 2019 (COVID-19) pandemic has significantly affected social, economic, educational and political systems (<xref rid="b1-WASJ-6-3-00240" ref-type="bibr">1</xref>,<xref rid="b2-WASJ-6-3-00240" ref-type="bibr">2</xref>). Social and economic impacts were identified in each country (<xref rid="b3-WASJ-6-3-00240" ref-type="bibr">3</xref>). Global measures to prevent the spread of COVID-19, such as school closures and the cancelation of public gatherings, substantially reduced the movement of the population at both the local and national levels (<xref rid="b4-WASJ-6-3-00240" ref-type="bibr">4</xref>,<xref rid="b5-WASJ-6-3-00240" ref-type="bibr">5</xref>). Healthcare services experienced an increase in workload due to the high incidence of patients with COVID-19(<xref rid="b6-WASJ-6-3-00240" ref-type="bibr">6</xref>), apart from changes in patient presentation at emergency departments. For instance, changes in societal behaviors due to lockdowns and restrictions have led to fewer vehicle-related emergencies (<xref rid="b7-WASJ-6-3-00240" ref-type="bibr">7</xref>). However, psychological stress caused by the measures to prevent the spread of COVID-19 has been reported in numerous countries (<xref rid="b8-WASJ-6-3-00240 b9-WASJ-6-3-00240 b10-WASJ-6-3-00240" ref-type="bibr">8-10</xref>). Patients who required emergency department consultations were more likely to need acute hospital care (<xref rid="b11-WASJ-6-3-00240" ref-type="bibr">11</xref>,<xref rid="b12-WASJ-6-3-00240" ref-type="bibr">12</xref>).</p>
<p>Despite these findings, the impact of COVID-19 on emergency transport remains unclear. Studies conducted in Japan have associated the pandemic with increased intervals between patient collection and arrival at an emergency department (<xref rid="b13-WASJ-6-3-00240" ref-type="bibr">13</xref>), as well as the amount of time required to respond to and arrive at scenes (<xref rid="b13-WASJ-6-3-00240" ref-type="bibr">13</xref>,<xref rid="b14-WASJ-6-3-00240" ref-type="bibr">14</xref>). However, little is known about changes in emergency transport according to conditions.</p>
<p>Emergency transportation is often required for febrile urological conditions, such as acute pyelonephritis (<xref rid="b15-WASJ-6-3-00240" ref-type="bibr">15</xref>) and urinary tract infections (UTIs) (<xref rid="b16-WASJ-6-3-00240" ref-type="bibr">16</xref>). However, fever is a primary symptom of COVID-19 infection (<xref rid="b17-WASJ-6-3-00240" ref-type="bibr">17</xref>); thus, its manifestation in a patient requiring emergency care can prolong the wait for a response and admission, even when patients do not have severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (<xref rid="b18-WASJ-6-3-00240" ref-type="bibr">18</xref>). A previous study on the association between COVID-19 and urological diseases found a decrease in the number of patients treated with antibiotics; however, there was no evidence of an increase in complications, such as pyelonephritis (<xref rid="b19-WASJ-6-3-00240" ref-type="bibr">19</xref>). The impact of COVID-19 on urology services has been examined (<xref rid="b20-WASJ-6-3-00240 b21-WASJ-6-3-00240 b22-WASJ-6-3-00240 b23-WASJ-6-3-00240 b24-WASJ-6-3-00240" ref-type="bibr">20-24</xref>); however, the effects of the pandemic on the emergency transport time for patients with urological diseases remain unclear.</p>
<p>The present study aimed to determine the impact of lockdown restrictions on the time required to transport patients with urological diseases with fever to the hospital during the early stages of the COVID-19 pandemic.</p>
</sec>
<sec sec-type="Patients|methods">
<title>Patients and methods</title>
<sec>
<title/>
<sec>
<title>Study design and setting</title>
<p>Japan has a national fire and ambulance service provided by local governments and funded by taxpayers. It is available free of charge to anyone, anytime, anywhere, by calling the emergency telephone number 119. The municipal government oversees the management of fire departments. The National Fire and Disaster Management Agency, Ministry of Internal Affairs and Communications, and Prefectural Governments provide guidance and advice to municipal fire departments. The present study was conducted in Kochi City, Japan, which is the largest metropolitan area in Kochi Prefecture, with an estimated population of 320,000 individuals. Kochi Prefecture had 15 fire departments in 2021, and Kochi City had a fire brigade headquarters and 10 fire/ambulance stations.</p>
</sec>
<sec>
<title>Data sources</title>
<p>The present retrospective, observational study analyzed information downloaded from the public Kochi-Iryo-Net database that was established in 2015 as part of the Kochi prefectural emergency medical and disaster information system (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.kochi-iryo.net/">https://www.kochi-iryo.net/</ext-link>) (<xref rid="b25-WASJ-6-3-00240" ref-type="bibr">25</xref>). The database contains information about fire and ambulance dispatches and crew details, dates and times of calls, destination medical institutions, and distance between patients from the fire department. Upon arrival at the destination (medical institution), an attending doctor recorded pertinent information regarding institution names, locations where patients were collected, types and degrees of conditions or urgency in the institutional medical record database. The Kochi Prefectural Government then integrated this information into the Kochi-Iryo-Net database. The data that support the findings of the present study are available from the Kochi Prefecture database. However, these data are not publicly available. However, these data are not publicly available as they report the surveillance conducted by Kochi Prefecture Healthcare Policy Division Department for monitoring emergency medical care. The requirement for written informed consent from the selected participants was waived by the Ethical Review Committee of Kochi University School of Medicine in 2020 (No. 2020-116) due to the retrospective, observational nature of the study. The present study was approved by and complied with the Ethical Guidelines for Medical and Biological Research Involving Human Subjects of the Ministry of Education, Culture, Sports, Science and Technology; Ministry of Health, Labour and Welfare; Ministry of Economy, Trade and Industry, and the Declaration of Helsinki (2013 amendment).</p>
</sec>
<sec>
<title>Variables</title>
<p>The duration of the chaotic and quarantine periods was an exposure factor, and the outcome was urological disease. Other variables comprised sex, age (0-69, 70-79 and ≥80 years) and disease severity (mild, moderate, severe and fatal). Disease severity was defined as fatal, severe, moderate, mild, or other when mortality was confirmed at the time of the initial diagnosis, or by hospitalization for &gt;3, &lt;3 weeks, no diagnosis by a physician, and not diagnosed by a or transported to other locations, respectively.</p>
<p>An overview of the data collection and analyzed time frames is presented in <xref rid="f1-WASJ-6-3-00240" ref-type="fig">Fig. 1</xref>. Data were collected between January 1, 2019 and December 31, 2020. The new coronavirus infection became a designated infectious disease on February 1, 2020. Thus, data were defined as pre-pandemic from January 1, 2019 to January 31, 2020. Data were analyzed after the pandemic between February 1, 2020 and December 31, 2020. The pre-quarantine period was defined as when the first patient was diagnosed with COVID-19 on February 29, 2020 and a state of emergency was initially declared in Kochi Prefecture on April 15, 2020. Quarantine began on April 16 and lasted until May 14, 2020.</p>
<p>Information about patients entered into the Kochi-Iryo-Net database had to contain disease classifications and up to three specified injuries or diseases. Patients with urological diseases with pyelonephritis or UTIs were further classified as having fever (n=1,255), and all others were classified as not having a fever (n=1,556). According to previous research, the annual incidence of hospitalization due to urinary tract stones in Japan is estimated at 6.8 males and 12.4 females per 10,000 individuals in the population (<xref rid="b26-WASJ-6-3-00240" ref-type="bibr">26</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>The elapsed time between an incoming telephone call and the moment when an ambulance arrived at a hospital was defined as the total transport time and was compared before and after the start of the COVID-19 pandemic. After verifying the normality of the data with the Shapiro-Wilk test, between-group differences in total transport time were analyzed using the Mann-Whitney U-test. Categorical variables were analyzed using Chi-squared tests. If the expected frequencies were too low (&gt;20% of the cells had an expected count of &lt;5), Fisher's exact tests were conducted instead of the Chi-squared tests. Bivariate associations before and after the COVID-19 pandemic started were assessed using simple linear and multiple regression analyses. Values with two-tailed P&lt;0.05 were considered to indicate statistically significant differences. All data were analyzed using Stata/MP v.16.0 (StataCorp LLC.).</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<p>The present study limited the analysis to patients with urological diseases between 2019 and 2020, who were listed in the Kochi-Iryo-Net database. Among these patients, 10 patients with a transport time &gt;1,000 min (n=10) were excluded from the study as previously described (<xref rid="b27-WASJ-6-3-00240" ref-type="bibr">27</xref>); the transport time exceeding 1,000 min usually does not exceed 180 min one-way, even if the patient was transported from the eastern or western edge of Kochi Prefecture to the center of the prefecture. Although there were rare cases in which the transport time was extended due to disease, the time exceeding 1,000 min was considered an anomaly due to an error in the entry of the transport time. Data derived from 2,811 transported patients were finally analyzed.</p>
<p>As illustrated in <xref rid="f2-WASJ-6-3-00240" ref-type="fig">Fig. 2</xref>, the emergency transport time was the long during March and April, 2020 for patients with urological diseases with fever during the entire study period compared to 2019. As shown in <xref rid="f3-WASJ-6-3-00240" ref-type="fig">Fig. 3</xref>, the amount of time required to deliver patients with urological diseases without fever in the case of an emergency to a hospital during 2019 and 2020 did not markedly vary throughout the study period.</p>
<p>Of the total number of patients with urological diseases (n=2,811) included in the present study, 1,255 patients had urologic diseases with fever, and 1,556 patients had no fever. The pre-quarantine (February 29 to April 15, 2020) and quarantine (April 16 to May 14, 2020) demographics of the patients are presented in <xref rid="tI-WASJ-6-3-00240" ref-type="table">Table I</xref>. It was found that 75 (45.2%), 91 (54.8%) at pre-quarantine, and 49 (45.8%) and 58 (54.2%) patients during quarantine with urological diseases with and without fever, respectively, were transported by an ambulance during these respective time periods.</p>
<p>As demonstrated in <xref rid="tII-WASJ-6-3-00240" ref-type="table">Table II</xref>, the mean duration of emergency transport was longer for patients with urological diseases with fever than without fever before, compared with during the quarantine period and after the COVID-19 pandemic began.</p>
<p>The results of simple linear and multiple regression analyses are presented in <xref rid="tIII-WASJ-6-3-00240" ref-type="table">Table III</xref>. The mean pre-quarantine transport times were significantly associated with fever [β=5.35; 95% confidence interval (CI), 1.69-9.01; P&lt;0.05] and remained significant after adjusting for sex, age and urgency (β=5.57; 95% CI, 1.93-9.21; P&lt;0.05).</p>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>The present study examined the impact of the COVID-19 pandemic on the amount of time required for an ambulance to transport patients with urological diseases with or without fever in the case of an emergency in Kochi Prefecture, Japan. A significant pre-quarantine increase was observed in the emergency transport time for patients with urological diseases with fever. Urological diseases are adversely affected by even a 5-min delay, and longer waits for emergency transport can delay the appropriate and timely administration of treatment, as well as subsequent dispatches (<xref rid="b28-WASJ-6-3-00240" ref-type="bibr">28</xref>). Each fire station in Kochi Prefecture usually has two ambulances, and if a station is unable to respond to an emergency, an ambulance from a neighboring station will be dispatched. The survival of patients with serious illnesses is associated with prompt transport (<xref rid="b29-WASJ-6-3-00240" ref-type="bibr">29</xref>). To the best of our knowledge, this is the first study to find longer transport times during the spread of COVID-19 in a rural area in Japan.</p>
<p>This longer time was attributed to the implementation of infection control measures that were not previously required (<xref rid="b30-WASJ-6-3-00240" ref-type="bibr">30</xref>). Currently, these measures include hand disinfection, wearing protective clothing and mandatory reports of suspected infections (<xref rid="b28-WASJ-6-3-00240" ref-type="bibr">28</xref>,<xref rid="b31-WASJ-6-3-00240" ref-type="bibr">31</xref>). Other factors that likely contributed to the increased duration of emergency transport include the similarity between fever caused by a febrile urological state and COVID-19 (<xref rid="b17-WASJ-6-3-00240" ref-type="bibr">17</xref>,<xref rid="b32-WASJ-6-3-00240" ref-type="bibr">32</xref>,<xref rid="b33-WASJ-6-3-00240" ref-type="bibr">33</xref>), as well as delays caused by searching for a hospital that was appropriately equipped, willing to admit a patient with suspected COVID-19 and had a free bed. Numerous hospital beds were reserved for or were occupied by patients with COVID-19(<xref rid="b34-WASJ-6-3-00240" ref-type="bibr">34</xref>).</p>
<p>The COVID-19 pandemic also changed the consultation policies of urologists, according to the findings of cue-expedited transport of patients with urological diseases (<xref rid="b23-WASJ-6-3-00240" ref-type="bibr">23</xref>,<xref rid="b24-WASJ-6-3-00240" ref-type="bibr">24</xref>,<xref rid="b35-WASJ-6-3-00240" ref-type="bibr">35</xref>). The frequency of admissions with urological complaints decreased, the pattern of referrals changed, the length of hospital stays decreased, more patients were discharged against medical advice, and the number of patients with irreversible urological complications or complications requiring surgery due to deferred treatment increased (<xref rid="b35-WASJ-6-3-00240" ref-type="bibr">35</xref>). Ansari <italic>et al</italic> (<xref rid="b36-WASJ-6-3-00240" ref-type="bibr">36</xref>) suggested that specific medical centers that could provide emergency services should be selected. Such measures are certainly useful, although they are difficult to implement in rural areas such as Kochi Prefecture, where medical resources are limited, in contrast to large cities, such as Tokyo and Osaka, which have ample medical facilities. Even if such a system were developed, it is important to recognize that its functionality is likely to change during a period of social turmoil, such as a pandemic, as noted herein.</p>
<p>The measures implemented to prevent or reduce the spread of COVID-19, including self-quarantine, have had various effects on emergency care. Of course, the vast number of patients infected with COVID-19 severely strained medical services; however, the overall number of patients presenting at emergency departments decreased in numerous parts of the world (<xref rid="b36-WASJ-6-3-00240 b37-WASJ-6-3-00240 b38-WASJ-6-3-00240" ref-type="bibr">36-38</xref>). The various preventive measures implemented during the pandemic did not affect emergency medical services in six US level I trauma centers (<xref rid="b39-WASJ-6-3-00240" ref-type="bibr">39</xref>). Notably, the spread of COVID-19 affected the mortality of patients who were transported by ambulance in Osaka, Japan (<xref rid="b40-WASJ-6-3-00240" ref-type="bibr">40</xref>).</p>
<p>It is considered that the significant difference between patients who had urological diseases with and without fever should be noted.</p>
<p>Symptoms and infection status related to COVID-19 became confusing and stressful, particularly during the early stages of the pandemic when limited information was available (<xref rid="b41-WASJ-6-3-00240 b42-WASJ-6-3-00240 b43-WASJ-6-3-00240" ref-type="bibr">41-43</xref>). An urgent need emerged in Japan to create a process that would not strain the medical system (<xref rid="b44-WASJ-6-3-00240" ref-type="bibr">44</xref>,<xref rid="b45-WASJ-6-3-00240" ref-type="bibr">45</xref>). During this period, individuals tended to avoid medical clinics and hospitals due to fear of SARS-CoV-2 infection (<xref rid="b46-WASJ-6-3-00240" ref-type="bibr">46</xref>,<xref rid="b47-WASJ-6-3-00240" ref-type="bibr">47</xref>), and patients with mild symptoms and those who were younger (<xref rid="b48-WASJ-6-3-00240" ref-type="bibr">48</xref>,<xref rid="b49-WASJ-6-3-00240" ref-type="bibr">49</xref>) tended to not use emergency services (<xref rid="b50-WASJ-6-3-00240 b51-WASJ-6-3-00240 b52-WASJ-6-3-00240" ref-type="bibr">50-52</xref>). The period analyzed in the present study was a precursor to the subsequent major pandemic. The Ministry of Health, Labour and Welfare notified each prefecture that medical institutions accepting Class II infectious diseases would accept patients with COVID-19. On March 11, 2020, the Headquarters for the Promotion of Countermeasures against Infectious Diseases Caused by the New Type of Coronavirus, the Ministry of Health, Labour and Welfare, released guidelines regarding the treatment of persons with suspected COVID-19(<xref rid="b53-WASJ-6-3-00240" ref-type="bibr">53</xref>). A new system was established in Kochi Prefecture on April 22, 2020. This included establishing a second medical institution that would accept persons with COVID-19 due to an increase in the demand to care for infected patients (<xref rid="b53-WASJ-6-3-00240" ref-type="bibr">53</xref>). It is considered that this system was responsible for the difference in transport times between the pre-quarantine and quarantine periods. The process that allocated patients with fever to designated medical institutions may have resulted in the smooth transportation of febrile patients with urological diseases after May, 2020. The present study did not identify confusion caused by circulating information about COVID-19, but rather uncovered the reason for the difference in the transport time between the pre-quarantine and quarantine periods.</p>
<p>The present study had certain limitations, which should be mentioned. The strength of the present study was the use of a large data set that accurately captured the number of patients transported throughout Kochi Prefecture. The medical record management system from which the dataset was obtained was designed to capture all relevant data upon the dispatch of emergency transportation. However, as the information related to the transportation service was entered by ambulance crews in real-time, the possibility of entering erroneous or misleading data into the database cannot be eliminated. For example, in some data-entry fields, a range of descriptions for the same illness can be entered that is dependent on the discretion of the person inputting the data (e.g., ‘pyelonephritis’ vs. ‘acute pyelonephritis’). Currently, the classification of injuries and diseases is performed in a selective format with a check item; however, it is necessary to make modifications, such as using ICD-10 codes instead of a descriptive format for the accurate registration of injury and disease names.</p>
<p>Moreover, the information was manually entered into the database via a tablet computer in each ambulance. This can lead to data entry errors, such as using a 12-h instead of a 24-h clock, resulting in data indicating that transport lasted for &gt;1 day. Transport time is an important topic in the field of emergency care; therefore, future improvements to the system are required to address erroneous data input, such as the simplification of entry items, the standardization of entry formats, or a system of double-checks. In Japan, the operation of such a system is performed on a prefectural basis, and a separate document is submitted to the Fire and Disaster Management Agency of the Ministry of Internal Affairs and Communications, which has jurisdiction over firefighting, to ascertain the number of emergency cases transported. It is hoped that the same system can be operated in all prefectures in Japan in the future.</p>
<p>Emergency medical service teams consider a case to be difficult to accept ‘after four or more calls for acceptance to medical institutions’ or ‘more than 30 min have elapsed since their arrival at the scene’(<xref rid="b54-WASJ-6-3-00240" ref-type="bibr">54</xref>). However, since the dataset used for the analysis did not include any information about the above, it could not be confirmed whether the patients who were transported by emergency medical services over a long period of time were difficult to accept. The ability to categorize ‘difficult to accept’ may further clarify how the field was disrupted during this period. Another limitation is that the body temperature of febrile patients with urological diseases could not be verified. Additionally, the data were from only one of 47 Japanese prefectures; thus, the present findings may not be generalizable to other prefectures. The aging rate in Kochi Prefecture is 35.8%, which is higher than the national average of 28.8% and the second highest in Japan. The percentage of the population aged ≥65 years in the total population of Kochi Prefecture is one in three of the prefecture's residents. As for the current situation of regional medical care in Kochi Prefecture, there are few large hospitals, and there is a lack of facilities to accept seriously ill patients. Of note, ~70% of the population of Kochi Prefecture is concentrated in the center where the medical school is located, while ~80% of physicians and nurses are concentrated. Doctors and hospitals responsible for regional medical care accept many patients with limited personnel and facilities (<xref rid="b54-WASJ-6-3-00240" ref-type="bibr">54</xref>). Therefore, they are unable to provide highly specialized medical care, and maintaining the medical system in mountainous areas is a challenge. While Japan is aging and its population is becoming increasingly concentrated in one area, it is considered that the changes that occurred in Kochi Prefecture, which has such regional challenges, suggest that similar confusion will occur in contingencies that occur in other prefectures in the future.</p>
<p>Delayed emergency transport is a life-threatening situation for patients. In the future, the authors aim to use data to confirm what types of occurrences increase transport times and what types of diseases tend to do so and to compare these data with data from other prefectures in Japan regarding emergency transport times.</p>
<p>The present study revealed that the measures, restrictions, lockdowns and lifestyle changes that limited the spread of COVID-19 affected emergency transport time in one prefecture in Japan during the quarantine period. Particularly, the increase in transport duration was significant for patients with urological diseases with fever. These results suggested that similar delays may occur in future events when patients may develop symptoms akin to those of a disease that causes a pandemic.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to express their great appreciation to the personnel of the fire departments in Kochi Prefecture for their great efforts in collecting the data. The authors also extend their thanks to the officials of Kochi Prefecture for providing the data. The authors would also like thank the Kochi University School of Disaster and Emergency Medicine and the Kochi Prefecture Department of Health Policy for providing insight and expertise to facilitate interpretation.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The data supporting the present findings are under license from Kochi Prefecture and are not publicly available. The dataset is surveillance conducted by Kochi Prefecture Healthcare Policy Division Department, for monitoring emergency medical care and is not publicly available, although use may be permitted after ethical review.</p>
</sec>
<sec>
<title>Authors' contributions</title>
<p>MMinami was involved in the conceptualization and methodology of the study, and in the writing the original draft of the manuscript. MMiyauchi and ME were involved in the study methodology. KI and KN were involved in the study methodology, and supervised the study. MMinami and ME confirm the authenticity of all the raw data. All authors (MMinami, MMiyauchi, ME, AK, HF, SA, TK, KI, NS and KN) were involved in the interpretation of and in reporting the findings of the study. All authors were involved in the conceptualization of the study, contributed to, and have read and approved the final version of the manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>An opt-out recruitment was adopted to obtain consent in the present study on the Kochi-Iryo-Net's website. There was no objection from participants to use or provide the required information. This study was approved by the Ethical Review Committee of Kochi University School of Medicine in 2020 (no. 2020-116). The present study was approved by and complied with the Ethical Guidelines for Medical and Biological Research Involving Human Subjects of the Ministry of Education, Culture, Sports, Science and Technology; Ministry of Health, Labour and Welfare; Ministry of Economy, Trade and Industry, and the Declaration of Helsinki (2013 amendment).</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="b1-WASJ-6-3-00240"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ayittey</surname><given-names>FK</given-names></name><name><surname>Dhar</surname><given-names>BK</given-names></name><name><surname>Anani</surname><given-names>G</given-names></name><name><surname>Chiwero</surname><given-names>NB</given-names></name></person-group><article-title>Gendered burdens and impacts of SARS-CoV-2: A review</article-title><source>Health Care Women Int</source><volume>41</volume><fpage>1210</fpage><lpage>1225</lpage><year>2020</year><pub-id pub-id-type="pmid">33616506</pub-id><pub-id pub-id-type="doi">10.1080/07399332.2020.1809664</pub-id></element-citation></ref>
<ref id="b2-WASJ-6-3-00240"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Okuyama</surname><given-names>J</given-names></name><name><surname>Seto</surname><given-names>S</given-names></name><name><surname>Fukuda</surname><given-names>Y</given-names></name><name><surname>Funakoshi</surname><given-names>S</given-names></name><name><surname>Amae</surname><given-names>S</given-names></name><name><surname>Onobe</surname><given-names>J</given-names></name><name><surname>Izumi</surname><given-names>S</given-names></name><name><surname>Ito</surname><given-names>K</given-names></name><name><surname>Imamura</surname><given-names>F</given-names></name></person-group><article-title>Mental health and physical activity among children and adolescents during the COVID-19 pandemic</article-title><source>Tohoku J Exp Med</source><volume>253</volume><fpage>203</fpage><lpage>215</lpage><year>2021</year><pub-id pub-id-type="pmid">33775993</pub-id><pub-id pub-id-type="doi">10.1620/tjem.253.203</pub-id></element-citation></ref>
<ref id="b3-WASJ-6-3-00240"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Backhaus</surname><given-names>I</given-names></name><name><surname>Hoven</surname><given-names>H</given-names></name><name><surname>Di Tecco</surname><given-names>C</given-names></name><name><surname>Iavicoli</surname><given-names>S</given-names></name><name><surname>Conte</surname><given-names>A</given-names></name><name><surname>Dragano</surname><given-names>N</given-names></name></person-group><article-title>Economic change and population health: Lessons learnt from an umbrella review on the Great Recession</article-title><source>BMJ Open</source><volume>12</volume><issue>e060710</issue><year>2022</year><pub-id pub-id-type="pmid">35379647</pub-id><pub-id pub-id-type="doi">10.1136/bmjopen-2021-060710</pub-id></element-citation></ref>
<ref id="b4-WASJ-6-3-00240"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bou-Karroum</surname><given-names>L</given-names></name><name><surname>Khabsa</surname><given-names>J</given-names></name><name><surname>Jabbour</surname><given-names>M</given-names></name><name><surname>Hilal</surname><given-names>N</given-names></name><name><surname>Haidar</surname><given-names>Z</given-names></name><name><surname>Abi Khalil</surname><given-names>P</given-names></name><name><surname>Khalek</surname><given-names>RA</given-names></name><name><surname>Assaf</surname><given-names>J</given-names></name><name><surname>Honein-AbouHaidar</surname><given-names>G</given-names></name><name><surname>Samra</surname><given-names>CA</given-names></name><etal/></person-group><article-title>Public health effects of travel-related policies on the COVID-19 pandemic: A mixed-methods systematic review</article-title><source>J Infect</source><volume>83</volume><fpage>413</fpage><lpage>423</lpage><year>2021</year><pub-id pub-id-type="pmid">34314737</pub-id><pub-id pub-id-type="doi">10.1016/j.jinf.2021.07.017</pub-id></element-citation></ref>
<ref id="b5-WASJ-6-3-00240"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Onyeaka</surname><given-names>H</given-names></name><name><surname>Anumudu</surname><given-names>CK</given-names></name><name><surname>Al-Sharify</surname><given-names>ZT</given-names></name><name><surname>Egele-Godswill</surname><given-names>E</given-names></name><name><surname>Mbaegbu</surname><given-names>P</given-names></name></person-group><article-title>COVID-19 pandemic: A review of the global lockdown and its far-reaching effects</article-title><source>Sci Prog</source><volume>104</volume><issue>368504211019854</issue><year>2021</year><pub-id pub-id-type="pmid">34061685</pub-id><pub-id pub-id-type="doi">10.1177/00368504211019854</pub-id></element-citation></ref>
<ref id="b6-WASJ-6-3-00240"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kayastha</surname><given-names>SR</given-names></name><name><surname>Parajuli</surname><given-names>B</given-names></name><name><surname>Basi</surname><given-names>A</given-names></name><name><surname>Shrestha</surname><given-names>D</given-names></name></person-group><article-title>Orthopaedic services during nationwide COVID-19 lockdown: Dhulikhel Hospital, Kathmandu University hospital experience and review of literature</article-title><source>Kathmandu Univ Med J (KUMJ)</source><volume>18</volume><fpage>29</fpage><lpage>35</lpage><year>2020</year><pub-id pub-id-type="pmid">33605235</pub-id></element-citation></ref>
<ref id="b7-WASJ-6-3-00240"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sutherland</surname><given-names>M</given-names></name><name><surname>McKenney</surname><given-names>M</given-names></name><name><surname>Elkbuli</surname><given-names>A</given-names></name></person-group><article-title>Vehicle related injury patterns during the COVID-19 pandemic: What has changed?</article-title><source>Am J Emerg Med</source><volume>38</volume><fpage>1710</fpage><lpage>1714</lpage><year>2020</year><pub-id pub-id-type="pmid">32721782</pub-id><pub-id pub-id-type="doi">10.1016/j.ajem.2020.06.006</pub-id></element-citation></ref>
<ref id="b8-WASJ-6-3-00240"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Almeida</surname><given-names>M</given-names></name><name><surname>Shrestha</surname><given-names>AD</given-names></name><name><surname>Stojanac</surname><given-names>D</given-names></name><name><surname>Miller</surname><given-names>LJ</given-names></name></person-group><article-title>The impact of the COVID-19 pandemic on women's mental health</article-title><source>Arch Womens Ment Health</source><volume>23</volume><fpage>741</fpage><lpage>748</lpage><year>2020</year><pub-id pub-id-type="pmid">33263142</pub-id><pub-id pub-id-type="doi">10.1007/s00737-020-01092-2</pub-id></element-citation></ref>
<ref id="b9-WASJ-6-3-00240"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dubey</surname><given-names>S</given-names></name><name><surname>Biswas</surname><given-names>P</given-names></name><name><surname>Ghosh</surname><given-names>R</given-names></name><name><surname>Chatterjee</surname><given-names>S</given-names></name><name><surname>Dubey</surname><given-names>MJ</given-names></name><name><surname>Chatterjee</surname><given-names>S</given-names></name><name><surname>Lahiri</surname><given-names>D</given-names></name><name><surname>Lavie</surname><given-names>CJ</given-names></name></person-group><article-title>Psychosocial impact of COVID-19</article-title><source>Diabetes Metab Syndr</source><volume>14</volume><fpage>779</fpage><lpage>788</lpage><year>2020</year><pub-id pub-id-type="pmid">32526627</pub-id><pub-id pub-id-type="doi">10.1016/j.dsx.2020.05.035</pub-id></element-citation></ref>
<ref id="b10-WASJ-6-3-00240"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Irwin</surname><given-names>M</given-names></name><name><surname>Lazarevic</surname><given-names>B</given-names></name><name><surname>Soled</surname><given-names>D</given-names></name><name><surname>Adesman</surname><given-names>A</given-names></name></person-group><article-title>The COVID-19 pandemic and its potential enduring impact on children</article-title><source>Curr Opin Pediatr</source><volume>34</volume><fpage>107</fpage><lpage>115</lpage><year>2022</year><pub-id pub-id-type="pmid">34923563</pub-id><pub-id pub-id-type="doi">10.1097/MOP.0000000000001097</pub-id></element-citation></ref>
<ref id="b11-WASJ-6-3-00240"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Golinelli</surname><given-names>D</given-names></name><name><surname>Campinoti</surname><given-names>F</given-names></name><name><surname>Sanmarchi</surname><given-names>F</given-names></name><name><surname>Rosa</surname><given-names>S</given-names></name><name><surname>Beleffi</surname><given-names>M</given-names></name><name><surname>Farina</surname><given-names>G</given-names></name><name><surname>Tampieri</surname><given-names>A</given-names></name><name><surname>Fantini</surname><given-names>MP</given-names></name><name><surname>Giostra</surname><given-names>F</given-names></name><name><surname>Santi</surname><given-names>L</given-names></name></person-group><article-title>Patterns of emergency department visits for acute and chronic diseases during the two pandemic waves in Italy</article-title><source>Am J Emerg Med</source><volume>50</volume><fpage>22</fpage><lpage>26</lpage><year>2021</year><pub-id pub-id-type="pmid">34271231</pub-id><pub-id pub-id-type="doi">10.1016/j.ajem.2021.07.010</pub-id></element-citation></ref>
<ref id="b12-WASJ-6-3-00240"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Reschen</surname><given-names>ME</given-names></name><name><surname>Bowen</surname><given-names>J</given-names></name><name><surname>Novak</surname><given-names>A</given-names></name><name><surname>Giles</surname><given-names>M</given-names></name><name><surname>Singh</surname><given-names>S</given-names></name><name><surname>Lasserson</surname><given-names>D</given-names></name><name><surname>O'Callaghan</surname><given-names>CA</given-names></name></person-group><article-title>Impact of the COVID-19 pandemic on emergency department attendances and acute medical admissions</article-title><source>BMC Emerg Med</source><volume>21</volume><issue>143</issue><year>2021</year><pub-id pub-id-type="pmid">34800973</pub-id><pub-id pub-id-type="doi">10.1186/s12873-021-00529-w</pub-id></element-citation></ref>
<ref id="b13-WASJ-6-3-00240"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ageta</surname><given-names>K</given-names></name><name><surname>Naito</surname><given-names>H</given-names></name><name><surname>Yorifuji</surname><given-names>T</given-names></name><name><surname>Obara</surname><given-names>T</given-names></name><name><surname>Nojima</surname><given-names>T</given-names></name><name><surname>Yamada</surname><given-names>T</given-names></name><name><surname>Tsukahara</surname><given-names>K</given-names></name><name><surname>Yakushiji</surname><given-names>H</given-names></name><name><surname>Nakao</surname><given-names>A</given-names></name></person-group><article-title>Delay in emergency medical service transportation responsiveness during the COVID-19 pandemic in a minimally affected region</article-title><source>Acta Med Okayama</source><volume>74</volume><fpage>513</fpage><lpage>520</lpage><year>2020</year><pub-id pub-id-type="pmid">33361871</pub-id><pub-id pub-id-type="doi">10.18926/AMO/61210</pub-id></element-citation></ref>
<ref id="b14-WASJ-6-3-00240"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Katayama</surname><given-names>Y</given-names></name><name><surname>Kiyohara</surname><given-names>K</given-names></name><name><surname>Kitamura</surname><given-names>T</given-names></name><name><surname>Hayashida</surname><given-names>S</given-names></name><name><surname>Shimazu</surname><given-names>T</given-names></name></person-group><article-title>Influence of the COVID-19 pandemic on an emergency medical service system: A population-based, descriptive study in Osaka, Japan</article-title><source>Acute Med Surg</source><volume>7</volume><issue>e534</issue><year>2020</year><pub-id pub-id-type="pmid">32685173</pub-id><pub-id pub-id-type="doi">10.1002/ams2.534</pub-id></element-citation></ref>
<ref id="b15-WASJ-6-3-00240"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Belyayeva</surname><given-names>M</given-names></name><name><surname>Jeong</surname><given-names>JM</given-names></name></person-group><comment>Acute pyelonephritis. In: StatPearls. StatPearls Publishing, Treasure Island, FL, 2021.</comment></element-citation></ref>
<ref id="b16-WASJ-6-3-00240"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Boissier</surname><given-names>R</given-names></name><name><surname>Savoie</surname><given-names>PH</given-names></name><name><surname>Long</surname><given-names>JA</given-names></name></person-group><article-title>Epidemiology of urological emergencies in France</article-title><source>Prog Urol</source><volume>31</volume><fpage>945</fpage><lpage>955</lpage><year>2021</year><pub-id pub-id-type="pmid">34420876</pub-id><pub-id pub-id-type="doi">10.1016/j.purol.2021.07.004</pub-id><comment>(In French)</comment></element-citation></ref>
<ref id="b17-WASJ-6-3-00240"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Al Maqbali</surname><given-names>M</given-names></name><name><surname>Al Badi</surname><given-names>K</given-names></name><name><surname>Al Sinani</surname><given-names>M</given-names></name><name><surname>Madkhali</surname><given-names>N</given-names></name><name><surname>Dickens</surname><given-names>GL</given-names></name></person-group><article-title>Clinical features of COVID-19 patients in the first year of pandemic: A systematic review and meta-analysis</article-title><source>Biol Res Nurs</source><volume>24</volume><fpage>172</fpage><lpage>185</lpage><year>2022</year><pub-id pub-id-type="pmid">34866409</pub-id><pub-id pub-id-type="doi">10.1177/10998004211055866</pub-id></element-citation></ref>
<ref id="b18-WASJ-6-3-00240"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>HS</given-names></name><name><surname>Jang</surname><given-names>TC</given-names></name><name><surname>Kim</surname><given-names>GM</given-names></name><name><surname>Lee</surname><given-names>SH</given-names></name><name><surname>Ko</surname><given-names>SH</given-names></name><name><surname>Seo</surname><given-names>YW</given-names></name></person-group><article-title>Impact of the coronavirus disease 2019 outbreak on the transportation of patients requiring emergency care</article-title><source>Medicine (Baltimore)</source><volume>99</volume><issue>e23446</issue><year>2020</year><pub-id pub-id-type="pmid">33327277</pub-id><pub-id pub-id-type="doi">10.1097/MD.0000000000023446</pub-id></element-citation></ref>
<ref id="b19-WASJ-6-3-00240"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>van de Pol</surname><given-names>AC</given-names></name><name><surname>Boeijen</surname><given-names>JA</given-names></name><name><surname>Venekamp</surname><given-names>RP</given-names></name><name><surname>Platteel</surname><given-names>T</given-names></name><name><surname>Damoiseaux</surname><given-names>RAMJ</given-names></name><name><surname>Kortekaas</surname><given-names>MF</given-names></name><name><surname>van der Velden</surname><given-names>AW</given-names></name></person-group><article-title>Impact of the COVID-19 pandemic on antibiotic prescribing for common infections in the netherlands: A primary care-based observational cohort study</article-title><source>Antibiotics (Basel)</source><volume>10</volume><issue>196</issue><year>2021</year><pub-id pub-id-type="pmid">33670657</pub-id><pub-id pub-id-type="doi">10.3390/antibiotics10020196</pub-id></element-citation></ref>
<ref id="b20-WASJ-6-3-00240"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cacciamani</surname><given-names>GE</given-names></name><name><surname>Shah</surname><given-names>M</given-names></name><name><surname>Yip</surname><given-names>W</given-names></name><name><surname>Abreu</surname><given-names>A</given-names></name><name><surname>Park</surname><given-names>D</given-names></name><name><surname>Fuchs</surname><given-names>G</given-names></name></person-group><article-title>Impact of Covid-19 on the urology service in United States: Perspectives and strategies to face a pandemic</article-title><source>Int Braz J Urol</source><volume>46 (Suppl 1)</volume><fpage>S207</fpage><lpage>S214</lpage><year>2020</year><pub-id pub-id-type="pmid">32618466</pub-id><pub-id pub-id-type="doi">10.1590/S1677-5538.IBJU.2020.S126</pub-id></element-citation></ref>
<ref id="b21-WASJ-6-3-00240"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Feng</surname><given-names>D</given-names></name><name><surname>Liu</surname><given-names>S</given-names></name><name><surname>Bai</surname><given-names>Y</given-names></name><name><surname>Tang</surname><given-names>Y</given-names></name><name><surname>Han</surname><given-names>P</given-names></name><name><surname>Wei</surname><given-names>W</given-names></name></person-group><article-title>Management of urology during COVID-19 pandemic: A perspective from Sichuan Province, China</article-title><source>Int J Surg</source><volume>81</volume><fpage>115</fpage><lpage>121</lpage><year>2020</year><pub-id pub-id-type="pmid">32798760</pub-id><pub-id pub-id-type="doi">10.1016/j.ijsu.2020.08.005</pub-id></element-citation></ref>
<ref id="b22-WASJ-6-3-00240"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Castellani</surname><given-names>D</given-names></name><name><surname>Ragonese</surname><given-names>M</given-names></name><name><surname>Di Rosa</surname><given-names>M</given-names></name><name><surname>Marzio</surname><given-names>V</given-names></name><name><surname>Di Gianfrancesco</surname><given-names>L</given-names></name><name><surname>Bassi</surname><given-names>P</given-names></name><name><surname>De Dominicis</surname><given-names>M</given-names></name><name><surname>Dellabella</surname><given-names>M</given-names></name><name><surname>Antonucci</surname><given-names>M</given-names></name></person-group><article-title>An Italian multicenter analysis of emergency admissions and treatment of upper tract urolithiasis during the lockdown and reopening phases of the COVID-19 pandemic: Are we ready for a second wave of the outbreak?</article-title><source>Int J Urol</source><volume>28</volume><fpage>950</fpage><lpage>954</lpage><year>2021</year><pub-id pub-id-type="pmid">34159635</pub-id><pub-id pub-id-type="doi">10.1111/iju.14612</pub-id></element-citation></ref>
<ref id="b23-WASJ-6-3-00240"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Georgiou</surname><given-names>M</given-names></name><name><surname>Ridzuan-Allen</surname><given-names>A</given-names></name><name><surname>Chamsin</surname><given-names>A</given-names></name><name><surname>Siddiqui</surname><given-names>Z</given-names></name><name><surname>Tolofari</surname><given-names>S</given-names></name><name><surname>Ejikeme</surname><given-names>C</given-names></name><name><surname>Jones</surname><given-names>R</given-names></name><name><surname>Napier-Hemy</surname><given-names>TP</given-names></name><name><surname>Rotas</surname><given-names>S</given-names></name><name><surname>Hughes</surname><given-names>KE</given-names></name><etal/></person-group><article-title>Emergency urology procedures during the COVID-19 pandemic in the UK: A 3-month prospective study</article-title><source>Urologia</source><volume>90</volume><fpage>407</fpage><lpage>414</lpage><year>2023</year><pub-id pub-id-type="pmid">36346172</pub-id><pub-id pub-id-type="doi">10.1177/03915603221136321</pub-id></element-citation></ref>
<ref id="b24-WASJ-6-3-00240"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rajwa</surname><given-names>P</given-names></name><name><surname>Przydacz</surname><given-names>M</given-names></name><name><surname>Krajewski</surname><given-names>W</given-names></name><name><surname>Kuffel</surname><given-names>B</given-names></name><name><surname>Zapala</surname><given-names>P</given-names></name><name><surname>Krzywon</surname><given-names>A</given-names></name><name><surname>Cortez</surname><given-names>AJ</given-names></name><name><surname>Dybowski</surname><given-names>B</given-names></name><name><surname>Stamirowski</surname><given-names>R</given-names></name><name><surname>Jarzemski</surname><given-names>M</given-names></name><etal/></person-group><article-title>Changing patterns of urologic emergency visits and admissions during the COVID-19 pandemic: A retrospective, multicenter, nationwide study</article-title><source>Arch Med Sci</source><volume>17</volume><fpage>1262</fpage><lpage>1276</lpage><year>2020</year><pub-id pub-id-type="pmid">34522255</pub-id><pub-id pub-id-type="doi">10.5114/aoms.2020.98364</pub-id></element-citation></ref>
<ref id="b25-WASJ-6-3-00240"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Minami</surname><given-names>M</given-names></name><name><surname>Kidokoro</surname><given-names>K</given-names></name><name><surname>Eitoku</surname><given-names>M</given-names></name><name><surname>Kawauchi</surname><given-names>A</given-names></name><name><surname>Miyauchi</surname><given-names>M</given-names></name><name><surname>Suganuma</surname><given-names>N</given-names></name><name><surname>Nishiyama</surname><given-names>K</given-names></name></person-group><article-title>Acute effect of the COVID-19 pandemic on emergency transportation due to acute alcoholic intoxication: A retrospective observational study</article-title><source>Environ Health Prev Med</source><volume>26</volume><issue>98</issue><year>2021</year><pub-id pub-id-type="pmid">34592932</pub-id><pub-id pub-id-type="doi">10.1186/s12199-021-01020-5</pub-id></element-citation></ref>
<ref id="b26-WASJ-6-3-00240"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sako</surname><given-names>A</given-names></name><name><surname>Yasunaga</surname><given-names>H</given-names></name><name><surname>Matsui</surname><given-names>H</given-names></name><name><surname>Fushimi</surname><given-names>K</given-names></name><name><surname>Yanai</surname><given-names>H</given-names></name><name><surname>Gu</surname><given-names>Y</given-names></name><name><surname>Ohmagari</surname><given-names>N</given-names></name></person-group><article-title>Hospitalization for urinary tract infections in Japan, 2010-2015: A retrospective study using a national inpatient database</article-title><source>BMC Infect Dis</source><volume>21</volume><issue>1048</issue><year>2021</year><pub-id pub-id-type="pmid">34627171</pub-id><pub-id pub-id-type="doi">10.1186/s12879-021-06735-y</pub-id></element-citation></ref>
<ref id="b27-WASJ-6-3-00240"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hanaki</surname><given-names>N</given-names></name><name><surname>Yamashita</surname><given-names>K</given-names></name><name><surname>Kunisawa</surname><given-names>S</given-names></name><name><surname>Imanaka</surname><given-names>Y</given-names></name></person-group><article-title>Effect of the number of request calls on the time from call to hospital arrival: A cross-sectional study of an ambulance record database in Nara prefecture, Japan</article-title><source>BMJ Open</source><volume>6</volume><issue>e012194</issue><year>2016</year><pub-id pub-id-type="pmid">27940625</pub-id><pub-id pub-id-type="doi">10.1136/bmjopen-2016-012194</pub-id></element-citation></ref>
<ref id="b28-WASJ-6-3-00240"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lawn</surname><given-names>S</given-names></name><name><surname>Roberts</surname><given-names>L</given-names></name><name><surname>Willis</surname><given-names>E</given-names></name><name><surname>Couzner</surname><given-names>L</given-names></name><name><surname>Mohammadi</surname><given-names>L</given-names></name><name><surname>Goble</surname><given-names>E</given-names></name></person-group><article-title>The effects of emergency medical service work on the psychological, physical, and social well-being of ambulance personnel: A systematic review of qualitative research</article-title><source>BMC Psychiatry</source><volume>20</volume><issue>348</issue><year>2020</year><pub-id pub-id-type="pmid">32620092</pub-id><pub-id pub-id-type="doi">10.1186/s12888-020-02752-4</pub-id></element-citation></ref>
<ref id="b29-WASJ-6-3-00240"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Colnaric</surname><given-names>J</given-names></name><name><surname>Bachir</surname><given-names>R</given-names></name><name><surname>El Sayed</surname><given-names>M</given-names></name></person-group><article-title>Association between mode of transportation and outcomes in penetrating trauma across different prehospital time intervals: A matched cohort study</article-title><source>J Emerg Med</source><volume>60</volume><fpage>460</fpage><lpage>470</lpage><year>2021</year><pub-id pub-id-type="pmid">33509618</pub-id><pub-id pub-id-type="doi">10.1016/j.jemermed.2020.11.043</pub-id></element-citation></ref>
<ref id="b30-WASJ-6-3-00240"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>C</given-names></name><name><surname>Sotomayor-Castillo</surname><given-names>C</given-names></name><name><surname>Nahidi</surname><given-names>S</given-names></name><name><surname>Kuznetsov</surname><given-names>S</given-names></name><name><surname>Considine</surname><given-names>J</given-names></name><name><surname>Curtis</surname><given-names>K</given-names></name><name><surname>Fry</surname><given-names>M</given-names></name><name><surname>Morgan</surname><given-names>D</given-names></name><name><surname>Walker</surname><given-names>T</given-names></name><name><surname>Burgess</surname><given-names>A</given-names></name><etal/></person-group><article-title>Emergency clinicians' knowledge, preparedness and experiences of managing COVID-19 during the 2020 global pandemic in Australian healthcare settings</article-title><source>Australas Emerg Care</source><volume>24</volume><fpage>186</fpage><lpage>196</lpage><year>2021</year><pub-id pub-id-type="pmid">34120888</pub-id><pub-id pub-id-type="doi">10.1016/j.auec.2021.03.008</pub-id></element-citation></ref>
<ref id="b31-WASJ-6-3-00240"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jefferson</surname><given-names>T</given-names></name><name><surname>Del Mar</surname><given-names>CB</given-names></name><name><surname>Dooley</surname><given-names>L</given-names></name><name><surname>Ferroni</surname><given-names>E</given-names></name><name><surname>Al-Ansary</surname><given-names>LA</given-names></name><name><surname>Bawazeer</surname><given-names>GA</given-names></name><name><surname>van Driel</surname><given-names>ML</given-names></name><name><surname>Jones</surname><given-names>MA</given-names></name><name><surname>Thorning</surname><given-names>S</given-names></name><name><surname>Beller</surname><given-names>EM</given-names></name><etal/></person-group><article-title>Physical interventions to interrupt or reduce the spread of respiratory viruses</article-title><source>Cochrane Database Syst Rev</source><volume>11</volume><issue>CD006207</issue><year>2020</year><pub-id pub-id-type="pmid">33215698</pub-id><pub-id pub-id-type="doi">10.1002/14651858.CD006207.pub5</pub-id></element-citation></ref>
<ref id="b32-WASJ-6-3-00240"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kamble</surname><given-names>P</given-names></name><name><surname>Daulatabad</surname><given-names>V</given-names></name><name><surname>John</surname><given-names>N</given-names></name><name><surname>John</surname><given-names>J</given-names></name></person-group><article-title>Synopsis of symptoms of COVID-19 during second wave of the pandemic in India</article-title><source>Horm Mol Biol Clin Investig</source><volume>43</volume><fpage>97</fpage><lpage>104</lpage><year>2021</year><pub-id pub-id-type="pmid">34881534</pub-id><pub-id pub-id-type="doi">10.1515/hmbci-2021-0043</pub-id></element-citation></ref>
<ref id="b33-WASJ-6-3-00240"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ding</surname><given-names>FM</given-names></name><name><surname>Feng</surname><given-names>Y</given-names></name><name><surname>Han</surname><given-names>L</given-names></name><name><surname>Zhou</surname><given-names>Y</given-names></name><name><surname>Ji</surname><given-names>Y</given-names></name><name><surname>Hao</surname><given-names>HJ</given-names></name><name><surname>Xue</surname><given-names>YS</given-names></name><name><surname>Yin</surname><given-names>DN</given-names></name><name><surname>Xu</surname><given-names>ZC</given-names></name><name><surname>Luo</surname><given-names>S</given-names></name><etal/></person-group><article-title>Early fever is associated with clinical outcomes in patients with coronavirus disease</article-title><source>Front Public Health</source><volume>9</volume><issue>712190</issue><year>2021</year><pub-id pub-id-type="pmid">34513787</pub-id><pub-id pub-id-type="doi">10.3389/fpubh.2021.712190</pub-id></element-citation></ref>
<ref id="b34-WASJ-6-3-00240"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Caminiti</surname><given-names>C</given-names></name><name><surname>Maglietta</surname><given-names>G</given-names></name><name><surname>Meschi</surname><given-names>T</given-names></name><name><surname>Ticinesi</surname><given-names>A</given-names></name><name><surname>Silva</surname><given-names>M</given-names></name><name><surname>Sverzellati</surname><given-names>N</given-names></name></person-group><article-title>Effects of the COVID-19 epidemic on hospital admissions for non-communicable diseases in a Large Italian university hospital: A descriptive case-series study</article-title><source>J Clin Med</source><volume>10</volume><issue>880</issue><year>2021</year><pub-id pub-id-type="pmid">33669906</pub-id><pub-id pub-id-type="doi">10.3390/jcm10040880</pub-id></element-citation></ref>
<ref id="b35-WASJ-6-3-00240"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Castoldi</surname><given-names>L</given-names></name><name><surname>Solbiati</surname><given-names>M</given-names></name><name><surname>Costantino</surname><given-names>G</given-names></name><name><surname>Casiraghi</surname><given-names>E</given-names></name></person-group><article-title>Variations in volume of emergency surgeries and emergency department access at a third level hospital in Milan, Lombardy, during the COVID-19 outbreak</article-title><source>BMC Emerg Med</source><volume>21</volume><issue>59</issue><year>2021</year><pub-id pub-id-type="pmid">33971826</pub-id><pub-id pub-id-type="doi">10.1186/s12873-021-00445-z</pub-id></element-citation></ref>
<ref id="b36-WASJ-6-3-00240"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ansari Jafari</surname><given-names>A</given-names></name><name><surname>Javanmard</surname><given-names>B</given-names></name><name><surname>Rahavian</surname><given-names>A</given-names></name><name><surname>Rafiezadeh</surname><given-names>AR</given-names></name><name><surname>Borumandnia</surname><given-names>N</given-names></name><name><surname>Hojjati</surname><given-names>SA</given-names></name><name><surname>Hosseininia</surname><given-names>SM</given-names></name><name><surname>Karami</surname><given-names>H</given-names></name></person-group><article-title>Impact of COVID-19 pandemic on emergency department referrals with urologic complaints; a retrospective cross-sectional study</article-title><source>Arch Acad Emerg Med</source><volume>10</volume><issue>e37</issue><year>2022</year><pub-id pub-id-type="pmid">35765615</pub-id><pub-id pub-id-type="doi">10.22037/aaem.v10i1.1563</pub-id></element-citation></ref>
<ref id="b37-WASJ-6-3-00240"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Flamm</surname><given-names>A</given-names></name><name><surname>Lee</surname><given-names>A</given-names></name><name><surname>Mencl</surname><given-names>F</given-names></name></person-group><article-title>COVID-19: A comprehensive analysis of the pandemic's effect on an emergency department</article-title><source>Disaster Med Public Health Prep</source><volume>8</volume><fpage>1</fpage><lpage>4</lpage><year>2021</year><pub-id pub-id-type="pmid">34099096</pub-id><pub-id pub-id-type="doi">10.1017/dmp.2021.182</pub-id><comment>(Epub ahead of print)</comment></element-citation></ref>
<ref id="b38-WASJ-6-3-00240"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Frumer</surname><given-names>M</given-names></name><name><surname>Aharony</surname><given-names>SM</given-names></name><name><surname>Shoshany</surname><given-names>O</given-names></name><name><surname>Kedar</surname><given-names>D</given-names></name><name><surname>Baniel</surname><given-names>J</given-names></name><name><surname>Golan</surname><given-names>S</given-names></name></person-group><article-title>Trends in urological emergencies in the Era of COVID-19</article-title><source>Int Braz J Urol</source><volume>47</volume><fpage>997</fpage><lpage>1005</lpage><year>2021</year><pub-id pub-id-type="pmid">34260177</pub-id><pub-id pub-id-type="doi">10.1590/S1677-5538.IBJU.2020.1092</pub-id></element-citation></ref>
<ref id="b39-WASJ-6-3-00240"><label>39</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jarvis</surname><given-names>S</given-names></name><name><surname>Salottolo</surname><given-names>K</given-names></name><name><surname>Berg</surname><given-names>GM</given-names></name><name><surname>Carrick</surname><given-names>M</given-names></name><name><surname>Caiafa</surname><given-names>R</given-names></name><name><surname>Hamilton</surname><given-names>D</given-names></name><name><surname>Banton</surname><given-names>K</given-names></name><name><surname>Lieser</surname><given-names>M</given-names></name><name><surname>Bar-Or</surname><given-names>D</given-names></name></person-group><article-title>Examining emergency medical services' prehospital transport times for trauma patients during COVID-19</article-title><source>Am J Emerg Med</source><volume>44</volume><fpage>33</fpage><lpage>37</lpage><year>2021</year><pub-id pub-id-type="pmid">33578329</pub-id><pub-id pub-id-type="doi">10.1016/j.ajem.2021.01.091</pub-id></element-citation></ref>
<ref id="b40-WASJ-6-3-00240"><label>40</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nakao</surname><given-names>S</given-names></name><name><surname>Masui</surname><given-names>J</given-names></name><name><surname>Katayama</surname><given-names>Y</given-names></name><name><surname>Kitamura</surname><given-names>T</given-names></name><name><surname>Matsuoka</surname><given-names>T</given-names></name></person-group><article-title>Impact of coronavirus disease 2019 on the mortality of patients who received emergency transportation: A population-based cross-sectional study</article-title><source>Acute Med Surg</source><volume>10</volume><issue>e813</issue><year>2023</year><pub-id pub-id-type="pmid">36636554</pub-id><pub-id pub-id-type="doi">10.1002/ams2.813</pub-id></element-citation></ref>
<ref id="b41-WASJ-6-3-00240"><label>41</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Clemente-Suárez</surname><given-names>VJ</given-names></name><name><surname>Navarro-Jiménez</surname><given-names>E</given-names></name><name><surname>Simón-Sanjurjo</surname><given-names>JA</given-names></name><name><surname>Beltran-Velasco</surname><given-names>AI</given-names></name><name><surname>Laborde-Cárdenas</surname><given-names>CC</given-names></name><name><surname>Benitez-Agudelo</surname><given-names>JC</given-names></name><name><surname>Bustamante-Sánchez</surname><given-names>Á</given-names></name><name><surname>Tornero-Aguilera</surname><given-names>JF</given-names></name></person-group><article-title>Mis-Dis information in COVID-19 health crisis: A narrative review</article-title><source>Int J Environ Res Public Health</source><volume>19</volume><issue>5321</issue><year>2022</year><pub-id pub-id-type="pmid">35564714</pub-id><pub-id pub-id-type="doi">10.3390/ijerph19095321</pub-id></element-citation></ref>
<ref id="b42-WASJ-6-3-00240"><label>42</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Theberath</surname><given-names>M</given-names></name><name><surname>Bauer</surname><given-names>D</given-names></name><name><surname>Chen</surname><given-names>W</given-names></name><name><surname>Salinas</surname><given-names>M</given-names></name><name><surname>Mohabbat</surname><given-names>AB</given-names></name><name><surname>Yang</surname><given-names>J</given-names></name><name><surname>Chon</surname><given-names>TY</given-names></name><name><surname>Bauer</surname><given-names>BA</given-names></name><name><surname>Wahner-Roedler</surname><given-names>DL</given-names></name></person-group><article-title>Effects of COVID-19 pandemic on mental health of children and adolescents: A systematic review of survey studies</article-title><source>SAGE Open Med</source><volume>10</volume><issue>20503121221086712</issue><year>2022</year><pub-id pub-id-type="pmid">35371484</pub-id><pub-id pub-id-type="doi">10.1177/20503121221086712</pub-id></element-citation></ref>
<ref id="b43-WASJ-6-3-00240"><label>43</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Na</surname><given-names>L</given-names></name><name><surname>Yang</surname><given-names>L</given-names></name><name><surname>Mezo</surname><given-names>PG</given-names></name><name><surname>Liu</surname><given-names>R</given-names></name></person-group><article-title>Age disparities in mental health during the COVID19 pandemic: The roles of resilience and coping</article-title><source>Soc Sci Med</source><volume>305</volume><issue>115031</issue><year>2022</year><pub-id pub-id-type="pmid">35649300</pub-id><pub-id pub-id-type="doi">10.1016/j.socscimed.2022.115031</pub-id></element-citation></ref>
<ref id="b44-WASJ-6-3-00240"><label>44</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Honda</surname><given-names>C</given-names></name><name><surname>Sumikawa</surname><given-names>Y</given-names></name><name><surname>Yoshioka-Maeda</surname><given-names>K</given-names></name><name><surname>Iwasaki-Motegi</surname><given-names>R</given-names></name><name><surname>Yamamoto-Mitani</surname><given-names>N</given-names></name></person-group><article-title>Confusions and responses of managerial public health nurses during the COVID-19 pandemic in Japan</article-title><source>Public Health Nurs</source><volume>39</volume><fpage>161</fpage><lpage>169</lpage><year>2022</year><pub-id pub-id-type="pmid">34755382</pub-id><pub-id pub-id-type="doi">10.1111/phn.13011</pub-id></element-citation></ref>
<ref id="b45-WASJ-6-3-00240"><label>45</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kagiyama</surname><given-names>N</given-names></name><name><surname>Komatsu</surname><given-names>T</given-names></name><name><surname>Nishikawa</surname><given-names>M</given-names></name><name><surname>Hiki</surname><given-names>M</given-names></name><name><surname>Kobayashi</surname><given-names>M</given-names></name><name><surname>Matsuzawa</surname><given-names>W</given-names></name><name><surname>Daida</surname><given-names>H</given-names></name><name><surname>Minamino</surname><given-names>T</given-names></name><name><surname>Naito</surname><given-names>T</given-names></name><name><surname>Sugita</surname><given-names>M</given-names></name><etal/></person-group><article-title>Impact of a telemedicine system on work burden and mental health of healthcare providers working with COVID-19: A multicenter pre-post prospective stu</article-title><source>JAMIA Open</source><volume>5</volume><issue>ooac037</issue><year>2022</year><pub-id pub-id-type="pmid">35642177</pub-id><pub-id pub-id-type="doi">10.1093/jamiaopen/ooac037</pub-id></element-citation></ref>
<ref id="b46-WASJ-6-3-00240"><label>46</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Riera</surname><given-names>R</given-names></name><name><surname>Bagattini</surname><given-names>ÂM</given-names></name><name><surname>Pacheco</surname><given-names>RL</given-names></name><name><surname>Pachito</surname><given-names>DV</given-names></name><name><surname>Roitberg</surname><given-names>F</given-names></name><name><surname>Ilbawi</surname><given-names>A</given-names></name></person-group><article-title>Delays and disruptions in cancer health care due to COVID-19 pandemic: Systematic review</article-title><source>JCO Glob Oncol</source><volume>7</volume><fpage>311</fpage><lpage>323</lpage><year>2021</year><pub-id pub-id-type="pmid">33617304</pub-id><pub-id pub-id-type="doi">10.1200/GO.20.00639</pub-id></element-citation></ref>
<ref id="b47-WASJ-6-3-00240"><label>47</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kriegmair</surname><given-names>MC</given-names></name><name><surname>Speck</surname><given-names>T</given-names></name><name><surname>Schneider</surname><given-names>AW</given-names></name><name><surname>Volkmer</surname><given-names>B</given-names></name><name><surname>Michel</surname><given-names>MS</given-names></name></person-group><article-title>Urological care in practices and clinics during the corona virus pandemic in Germany</article-title><source>Urologe A</source><volume>60</volume><fpage>318</fpage><lpage>330</lpage><year>2021</year><pub-id pub-id-type="pmid">33559694</pub-id><pub-id pub-id-type="doi">10.1007/s00120-021-01458-z</pub-id><comment>(In German)</comment></element-citation></ref>
<ref id="b48-WASJ-6-3-00240"><label>48</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dopfer</surname><given-names>C</given-names></name><name><surname>Wetzke</surname><given-names>M</given-names></name><name><surname>Zychlinsky Scharff</surname><given-names>A</given-names></name><name><surname>Mueller</surname><given-names>F</given-names></name><name><surname>Dressler</surname><given-names>F</given-names></name><name><surname>Baumann</surname><given-names>U</given-names></name><name><surname>Sasse</surname><given-names>M</given-names></name><name><surname>Hansen</surname><given-names>G</given-names></name><name><surname>Jablonka</surname><given-names>A</given-names></name><name><surname>Happle</surname><given-names>C</given-names></name></person-group><article-title>COVID-19 related reduction in pediatric emergency healthcare utilization-a concerning trend</article-title><source>BMC Pediatr</source><volume>20</volume><issue>427</issue><year>2020</year><pub-id pub-id-type="pmid">32894080</pub-id><pub-id pub-id-type="doi">10.1186/s12887-020-02303-6</pub-id></element-citation></ref>
<ref id="b49-WASJ-6-3-00240"><label>49</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kostopoulou</surname><given-names>E</given-names></name><name><surname>Gkentzi</surname><given-names>D</given-names></name><name><surname>Papasotiriou</surname><given-names>M</given-names></name><name><surname>Fouzas</surname><given-names>S</given-names></name><name><surname>Tagalaki</surname><given-names>A</given-names></name><name><surname>Varvarigou</surname><given-names>A</given-names></name><name><surname>Dimitriou</surname><given-names>G</given-names></name></person-group><article-title>The impact of COVID-19 on paediatric emergency department visits. A one-year retrospective study</article-title><source>Pediatr Res</source><volume>91</volume><fpage>1257</fpage><lpage>1262</lpage><year>2022</year><pub-id pub-id-type="pmid">34718355</pub-id><pub-id pub-id-type="doi">10.1038/s41390-021-01815-w</pub-id></element-citation></ref>
<ref id="b50-WASJ-6-3-00240"><label>50</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Müller</surname><given-names>F</given-names></name><name><surname>Hummers</surname><given-names>E</given-names></name><name><surname>Jablonka</surname><given-names>A</given-names></name><name><surname>Schmidt</surname><given-names>T</given-names></name><name><surname>Noack</surname><given-names>EM</given-names></name></person-group><article-title>Impact of the COVID-19 lockdown on emergency medical service operations</article-title><source>Notf Rett Med</source><volume>25</volume><fpage>341</fpage><lpage>347</lpage><year>2022</year><pub-id pub-id-type="pmid">33903799</pub-id><pub-id pub-id-type="doi">10.1007/s10049-021-00873-1</pub-id><comment>(In German)</comment></element-citation></ref>
<ref id="b51-WASJ-6-3-00240"><label>51</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yamamoto</surname><given-names>A</given-names></name><name><surname>Kuriyama</surname><given-names>A</given-names></name><name><surname>Ikegami</surname><given-names>T</given-names></name></person-group><article-title>Validity of a five-level prehospital triage system in Japan: A cohort study</article-title><source>Am J Emerg Med</source><volume>45</volume><fpage>329</fpage><lpage>334</lpage><year>2021</year><pub-id pub-id-type="pmid">33041143</pub-id><pub-id pub-id-type="doi">10.1016/j.ajem.2020.08.079</pub-id></element-citation></ref>
<ref id="b52-WASJ-6-3-00240"><label>52</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sekine</surname><given-names>I</given-names></name><name><surname>Uojima</surname><given-names>H</given-names></name><name><surname>Koyama</surname><given-names>H</given-names></name><name><surname>Kamio</surname><given-names>T</given-names></name><name><surname>Sato</surname><given-names>M</given-names></name><name><surname>Yamamoto</surname><given-names>T</given-names></name><name><surname>Fukaguchi</surname><given-names>K</given-names></name><name><surname>Fukui</surname><given-names>H</given-names></name><name><surname>Yamagami</surname><given-names>H</given-names></name></person-group><article-title>Impact of non-pharmaceutical interventions for the COVID-19 pandemic on emergency department patient trends in Japan: A retrospective analysis</article-title><source>Acute Med Surg</source><volume>7</volume><issue>e603</issue><year>2020</year><pub-id pub-id-type="pmid">33282316</pub-id><pub-id pub-id-type="doi">10.1002/ams2.603</pub-id></element-citation></ref>
<ref id="b53-WASJ-6-3-00240"><label>53</label><element-citation publication-type="journal"><comment>Kochi Prefecture new coronavirus infectious disease notification. <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.pref.kochi.lg.jp/soshiki/131301/2020021900446.html">https://www.pref.kochi.lg.jp/soshiki/131301/2020021900446.html</ext-link>. Accessed February 13.</comment></element-citation></ref>
<ref id="b54-WASJ-6-3-00240"><label>54</label><element-citation publication-type="journal"><comment>The Current State of Medical Care in Kochi Prefecture and Future Responses, 2024. Retrieved February 24,. 2024, from <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.mhlw.go.jp/file/05-Shingikai-12401000-Hokenkyoku-Soumuka/0000096877.pdf">https://www.mhlw.go.jp/file/05-Shingikai-12401000-Hokenkyoku-Soumuka/0000096877.pdf</ext-link>.</comment></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-WASJ-6-3-00240" position="float">
<label>Figure 1</label>
<caption><p>Components of the study period.</p></caption>
<graphic xlink:href="wasj-06-03-00240-g00.tif"/>
</fig>
<fig id="f2-WASJ-6-3-00240" position="float">
<label>Figure 2</label>
<caption><p>Mean emergency transport time for patients with urological diseases with fever.</p></caption>
<graphic xlink:href="wasj-06-03-00240-g01.tif"/>
</fig>
<fig id="f3-WASJ-6-3-00240" position="float">
<label>Figure 3</label>
<caption><p>Mean duration of emergency transport of patients with urological diseases without fever during the period between 2019 and 2020.</p></caption>
<graphic xlink:href="wasj-06-03-00240-g02.tif"/>
</fig>
<table-wrap id="tI-WASJ-6-3-00240" position="float">
<label>Table I</label>
<caption><p>Demographic characteristics of the patients throughout the COVID-19 pandemic.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Characteristic</th>
<th align="center" valign="middle">All 2,811; n (%)</th>
<th align="center" valign="middle">Pre-quarantine 166 (60.8), n (%)</th>
<th align="center" valign="middle">Quarantine 107 (39.2), n (%)</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Sex</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     Male</td>
<td align="center" valign="middle">1,507 (53.6)</td>
<td align="center" valign="middle">83 (50.0)</td>
<td align="center" valign="middle">63 (58.9)</td>
<td align="center" valign="middle">0.36<sup><xref rid="tfna-WASJ-6-3-00240" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">     Female</td>
<td align="center" valign="middle">1,304 (46.4)</td>
<td align="center" valign="middle">83 (50.0)</td>
<td align="center" valign="middle">44 (41.1)</td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">Age (years)</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     0-69</td>
<td align="center" valign="middle">764 (27.2)</td>
<td align="center" valign="middle">39 (23.5)</td>
<td align="center" valign="middle">29 (27.1)</td>
<td align="center" valign="middle">0.55<sup><xref rid="tfna-WASJ-6-3-00240" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">     70-79</td>
<td align="center" valign="middle">645 (23.0)</td>
<td align="center" valign="middle">45 (27.1)</td>
<td align="center" valign="middle">28 (26.2)</td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     ≥80</td>
<td align="center" valign="middle">1,402 (49.9)</td>
<td align="center" valign="middle">82 (49.4)</td>
<td align="center" valign="middle">50 (46.7)</td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">Severity</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     Mild</td>
<td align="center" valign="middle">898 (32.0)</td>
<td align="center" valign="middle">55 (33.1)</td>
<td align="center" valign="middle">33 (30.8)</td>
<td align="center" valign="middle">0.96<sup><xref rid="tfnb-WASJ-6-3-00240" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">     Moderate</td>
<td align="center" valign="middle">1,329 (47.3)</td>
<td align="center" valign="middle">78 (47.0)</td>
<td align="center" valign="middle">54 (50.5)</td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     Severe</td>
<td align="center" valign="middle">563 (20.0)</td>
<td align="center" valign="middle">33 (19.9)</td>
<td align="center" valign="middle">19 (17.8)</td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     Death</td>
<td align="center" valign="middle">6 (0.2)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     Other</td>
<td align="center" valign="middle">15 (0.5)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">1 (0.9)</td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">Fever with urological disease</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     No fever</td>
<td align="center" valign="middle">1,556 (55.4)</td>
<td align="center" valign="middle">91 (54.8)</td>
<td align="center" valign="middle">58 (54.2)</td>
<td align="center" valign="middle">0.96<sup><xref rid="tfna-WASJ-6-3-00240" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">     Fever<sup><xref rid="tfnc-WASJ-6-3-00240" ref-type="table-fn">c</xref></sup></td>
<td align="center" valign="middle">1,255 (44.7)</td>
<td align="center" valign="middle">75 (45.2)</td>
<td align="center" valign="middle">49 (45.8)</td>
<td align="center" valign="middle"> </td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Data were analyzed using the</p></fn>
<fn id="tfna-WASJ-6-3-00240"><p><sup>a</sup>Chi-squared test or</p></fn>
<fn id="tfnb-WASJ-6-3-00240"><p><sup>b</sup>Fisher's exact test.</p></fn>
<fn id="tfnc-WASJ-6-3-00240"><p><sup>c</sup>Urinary tract infections, pyelonephritis.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-WASJ-6-3-00240" position="float">
<label>Table II</label>
<caption><p>Mean emergency transport time (min) in 2020 during the pre-quarantine and quarantine periods.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Patients with urological diseases, n=2,811</th>
<th align="center" valign="middle">Pre-quarantine</th>
<th align="center" valign="middle">P-value<sup><xref rid="tfn1-a-WASJ-6-3-00240" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle">Quarantine</th>
<th align="center" valign="middle">P-value<sup><xref rid="tfn1-a-WASJ-6-3-00240" ref-type="table-fn">a</xref></sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">No fever, n=1,556 (55.4%)</td>
<td align="center" valign="middle">37.4 (14.1)</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">36.8 (12.9)</td>
<td align="center" valign="middle">0.81</td>
</tr>
<tr>
<td align="left" valign="middle">Fever, n=1,255 (44.7%)</td>
<td align="center" valign="middle">41.9 (17.2)</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle">37.7 (14.6)</td>
<td align="center" valign="middle"> </td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Data for the entire study period (January 1, 2019 to December 31, 2020) are shown as the means and standard deviations, mean (SD).</p></fn>
<fn id="tfn1-a-WASJ-6-3-00240"><p><sup>a</sup>Data were analyzed using a Mann-Whitney U test.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-WASJ-6-3-00240" position="float">
<label>Table III</label>
<caption><p>Simple linear and multiple regression analyses of the mean duration of emergency transport of patients with urological diseases.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle"> </th>
<th align="center" valign="middle" colspan="2"> </th>
<th align="center" valign="middle" colspan="2">95% CI</th>
<th align="center" valign="middle"> </th>
<th align="center" valign="middle" colspan="2"> </th>
<th align="center" valign="middle" colspan="2">95% CI</th>
<th align="center" valign="middle"> </th>
</tr>
<tr>
<th align="left" valign="middle">Time point</th>
<th align="center" valign="middle">β</th>
<th align="center" valign="middle">SE</th>
<th align="center" valign="middle">Lower value</th>
<th align="center" valign="middle">Upper value</th>
<th align="center" valign="middle">P-value</th>
<th align="center" valign="middle">β<sup><xref rid="tfn2-a-WASJ-6-3-00240" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle">SE</th>
<th align="center" valign="middle">Lower value</th>
<th align="center" valign="middle">Upper value</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Pre-quarantine</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     No fever</td>
<td align="center" valign="middle">1.25</td>
<td align="center" valign="middle">1.79</td>
<td align="center" valign="middle">-2.26</td>
<td align="center" valign="middle">4.76</td>
<td align="center" valign="middle">0.49</td>
<td align="center" valign="middle">1.18</td>
<td align="center" valign="middle">1.79</td>
<td align="center" valign="middle">-2.33</td>
<td align="center" valign="middle">4.69</td>
<td align="center" valign="middle">0.51</td>
</tr>
<tr>
<td align="left" valign="middle">     Fever</td>
<td align="center" valign="middle">5.35</td>
<td align="center" valign="middle">1.87</td>
<td align="center" valign="middle">1.69</td>
<td align="center" valign="middle">9.01</td>
<td align="center" valign="middle">&lt;0.05</td>
<td align="center" valign="middle">5.57</td>
<td align="center" valign="middle">1.86</td>
<td align="center" valign="middle">1.93</td>
<td align="center" valign="middle">9.21</td>
<td align="center" valign="middle">&lt;0.05</td>
</tr>
<tr>
<td align="left" valign="middle">Quarantine</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     No fever</td>
<td align="center" valign="middle">0.61</td>
<td align="center" valign="middle">2.22</td>
<td align="center" valign="middle">-3.74</td>
<td align="center" valign="middle">4.95</td>
<td align="center" valign="middle">0.79</td>
<td align="center" valign="middle">0.68</td>
<td align="center" valign="middle">2.21</td>
<td align="center" valign="middle">-3.66</td>
<td align="center" valign="middle">5.02</td>
<td align="center" valign="middle">0.76</td>
</tr>
<tr>
<td align="left" valign="middle">     Fever</td>
<td align="center" valign="middle">0.83</td>
<td align="center" valign="middle">2.29</td>
<td align="center" valign="middle">-3.66</td>
<td align="center" valign="middle">5.32</td>
<td align="center" valign="middle">0.72</td>
<td align="center" valign="middle">0.72</td>
<td align="center" valign="middle">2.28</td>
<td align="center" valign="middle">-3.76</td>
<td align="center" valign="middle">5.19</td>
<td align="center" valign="middle">0.75</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-a-WASJ-6-3-00240"><p><sup>a</sup>Adjusted for sex, age and severity. CI, confidence interval; SE, standard error.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
