Assessment of community vulnerability and medical surge capacity in a foreseeable major disaster

Developing an adequate disaster response capacity involves an assessment of available resources in areas that are vulnerable to disaster. Here, we sought to evaluate the gap between predicted damage in a foreseeable major earthquake versus existing municipality-level resources in Tokyo, Japan. Our s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2020-07, Vol.15 (7), p.e0235425-e0235425
Hauptverfasser: Kato, Soichiro, Yamaguchi, Yoshihiro, Kawachi, Ichiro
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0235425
container_issue 7
container_start_page e0235425
container_title PloS one
container_volume 15
creator Kato, Soichiro
Yamaguchi, Yoshihiro
Kawachi, Ichiro
description Developing an adequate disaster response capacity involves an assessment of available resources in areas that are vulnerable to disaster. Here, we sought to evaluate the gap between predicted damage in a foreseeable major earthquake versus existing municipality-level resources in Tokyo, Japan. Our study focused on the 53 municipalities in Tokyo to evaluate the relationships between the predicted number of severe casualties per 1,000 population from a future earthquake, community characteristics, and inpatient bed supply in local hospitals. Correlation analysis and supply-demand balance estimations were carried out at the municipality level, and the results were geographically visualized using choropleth maps. The correlation analysis showed that higher casualties were correlated with municipalities with faster population increase, higher taxable incomes, lower unemployment rates, and higher bed volumes in disaster base hospitals. Under a maximal damage scenario in a future earthquake, we predict a shortage of 2,780 beds for the treatment of severe casualties across Tokyo. Even under a scenario of cooperation among neighboring municipalities, a shortage of 7,107 beds would remain. Tokyo is located in a zone where major earthquake damage is anticipated. Cooperation between neighboring municipalities may not suffice to address the undersupply of beds during the acute phase of a disaster. Hence, existing disaster preparedness plans require further reinforcement with a focus on local vulnerabilities.
doi_str_mv 10.1371/journal.pone.0235425
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_gale_healthsolutions_A628361423</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A628361423</galeid><doaj_id>oai_doaj_org_article_b12234c5bc54423cba99bef3934a3b44</doaj_id><sourcerecordid>A628361423</sourcerecordid><originalsourceid>FETCH-LOGICAL-c735t-3b59c80e168d4856229e1b207e36ca0e01a83afffa8a2b73bc59cb24fb9670173</originalsourceid><addsrcrecordid>eNqNk1uLEzEUxwdR3LX6DQQHBNGH1iQnc3sRyuKlsLDg7TWepGfalMykm8ws7rc3Y6tsZR8kD7n9zv8k_-Rk2XPOFhwq_nbnx9CjW-x9TwsmoJCieJCd8wbEvBQMHt4Zn2VPYtwxVkBdlo-zMxAll3UN59mPZYwUY0f9kPs2N77rxt4Ot_nN6HoKqK2bZtiv847W1qDL4xg2lBvco5m2bJ9j3vpAkQi1o7zDnQ_52kaMA4Wn2aMWXaRnx36Wffvw_uvFp_nl1cfVxfJybioohjnoojE1I17Wa1kXpRANcS1YRVAaZMQ41oBt22KNQlegTeK1kK1uyorxCmbZi4Pu3vmojuZEJSRvyoYD1IlYHYi1x53aB9thuFUerfq94MNGYRiscaQ0FwKkKVIWKQUYjU2jqYUGJIKWMmm9O2YbdfLFJPsCuhPR053ebtXG36gKQLAkOcteHwWCvx4pDqqz0ZBz2JMfp3MLxmXR8Al9-Q96_-2O1AbTBWzf-pTXTKJqWYoa0oMLSNTiHiq1NXXWpJ_U2rR-EvDmJCAxA_0cNjjGqFZfPv8_e_X9lH11h90SumEbvRsH6_t4CsoDaIKPMVD712TO1FQIf9xQUyGoYyHAL6uy-Xk</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2419691338</pqid></control><display><type>article</type><title>Assessment of community vulnerability and medical surge capacity in a foreseeable major disaster</title><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Kato, Soichiro ; Yamaguchi, Yoshihiro ; Kawachi, Ichiro</creator><contributor>Martínez-Álvarez, Francisco</contributor><creatorcontrib>Kato, Soichiro ; Yamaguchi, Yoshihiro ; Kawachi, Ichiro ; Martínez-Álvarez, Francisco</creatorcontrib><description>Developing an adequate disaster response capacity involves an assessment of available resources in areas that are vulnerable to disaster. Here, we sought to evaluate the gap between predicted damage in a foreseeable major earthquake versus existing municipality-level resources in Tokyo, Japan. Our study focused on the 53 municipalities in Tokyo to evaluate the relationships between the predicted number of severe casualties per 1,000 population from a future earthquake, community characteristics, and inpatient bed supply in local hospitals. Correlation analysis and supply-demand balance estimations were carried out at the municipality level, and the results were geographically visualized using choropleth maps. The correlation analysis showed that higher casualties were correlated with municipalities with faster population increase, higher taxable incomes, lower unemployment rates, and higher bed volumes in disaster base hospitals. Under a maximal damage scenario in a future earthquake, we predict a shortage of 2,780 beds for the treatment of severe casualties across Tokyo. Even under a scenario of cooperation among neighboring municipalities, a shortage of 7,107 beds would remain. Tokyo is located in a zone where major earthquake damage is anticipated. Cooperation between neighboring municipalities may not suffice to address the undersupply of beds during the acute phase of a disaster. Hence, existing disaster preparedness plans require further reinforcement with a focus on local vulnerabilities.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0235425</identifier><identifier>PMID: 32614883</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Behavioral sciences ; Biology and Life Sciences ; Casualties ; Community health services ; Cooperation ; Correlation analysis ; Cost of living ; Critical care ; Demand analysis ; Disaster management ; Disaster planning ; Disasters ; Earth Sciences ; Earthquake damage ; Earthquake prediction ; Earthquakes ; Emergency preparedness ; Evaluation ; Forecasts and trends ; Government employees ; Hospitals ; Local government ; Management ; Medicine ; Medicine and Health Sciences ; Methods ; Metropolitan areas ; Municipalities ; People and Places ; Population ; Public health ; Seismic activity ; Shortages ; Social Sciences ; Socioeconomic factors</subject><ispartof>PloS one, 2020-07, Vol.15 (7), p.e0235425-e0235425</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Kato et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Kato et al 2020 Kato et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c735t-3b59c80e168d4856229e1b207e36ca0e01a83afffa8a2b73bc59cb24fb9670173</citedby><cites>FETCH-LOGICAL-c735t-3b59c80e168d4856229e1b207e36ca0e01a83afffa8a2b73bc59cb24fb9670173</cites><orcidid>0000-0002-8872-2192</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332042/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332042/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53770,53772,79347,79348</link.rule.ids></links><search><contributor>Martínez-Álvarez, Francisco</contributor><creatorcontrib>Kato, Soichiro</creatorcontrib><creatorcontrib>Yamaguchi, Yoshihiro</creatorcontrib><creatorcontrib>Kawachi, Ichiro</creatorcontrib><title>Assessment of community vulnerability and medical surge capacity in a foreseeable major disaster</title><title>PloS one</title><description>Developing an adequate disaster response capacity involves an assessment of available resources in areas that are vulnerable to disaster. Here, we sought to evaluate the gap between predicted damage in a foreseeable major earthquake versus existing municipality-level resources in Tokyo, Japan. Our study focused on the 53 municipalities in Tokyo to evaluate the relationships between the predicted number of severe casualties per 1,000 population from a future earthquake, community characteristics, and inpatient bed supply in local hospitals. Correlation analysis and supply-demand balance estimations were carried out at the municipality level, and the results were geographically visualized using choropleth maps. The correlation analysis showed that higher casualties were correlated with municipalities with faster population increase, higher taxable incomes, lower unemployment rates, and higher bed volumes in disaster base hospitals. Under a maximal damage scenario in a future earthquake, we predict a shortage of 2,780 beds for the treatment of severe casualties across Tokyo. Even under a scenario of cooperation among neighboring municipalities, a shortage of 7,107 beds would remain. Tokyo is located in a zone where major earthquake damage is anticipated. Cooperation between neighboring municipalities may not suffice to address the undersupply of beds during the acute phase of a disaster. Hence, existing disaster preparedness plans require further reinforcement with a focus on local vulnerabilities.</description><subject>Behavioral sciences</subject><subject>Biology and Life Sciences</subject><subject>Casualties</subject><subject>Community health services</subject><subject>Cooperation</subject><subject>Correlation analysis</subject><subject>Cost of living</subject><subject>Critical care</subject><subject>Demand analysis</subject><subject>Disaster management</subject><subject>Disaster planning</subject><subject>Disasters</subject><subject>Earth Sciences</subject><subject>Earthquake damage</subject><subject>Earthquake prediction</subject><subject>Earthquakes</subject><subject>Emergency preparedness</subject><subject>Evaluation</subject><subject>Forecasts and trends</subject><subject>Government employees</subject><subject>Hospitals</subject><subject>Local government</subject><subject>Management</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Metropolitan areas</subject><subject>Municipalities</subject><subject>People and Places</subject><subject>Population</subject><subject>Public health</subject><subject>Seismic activity</subject><subject>Shortages</subject><subject>Social Sciences</subject><subject>Socioeconomic factors</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1uLEzEUxwdR3LX6DQQHBNGH1iQnc3sRyuKlsLDg7TWepGfalMykm8ws7rc3Y6tsZR8kD7n9zv8k_-Rk2XPOFhwq_nbnx9CjW-x9TwsmoJCieJCd8wbEvBQMHt4Zn2VPYtwxVkBdlo-zMxAll3UN59mPZYwUY0f9kPs2N77rxt4Ot_nN6HoKqK2bZtiv847W1qDL4xg2lBvco5m2bJ9j3vpAkQi1o7zDnQ_52kaMA4Wn2aMWXaRnx36Wffvw_uvFp_nl1cfVxfJybioohjnoojE1I17Wa1kXpRANcS1YRVAaZMQ41oBt22KNQlegTeK1kK1uyorxCmbZi4Pu3vmojuZEJSRvyoYD1IlYHYi1x53aB9thuFUerfq94MNGYRiscaQ0FwKkKVIWKQUYjU2jqYUGJIKWMmm9O2YbdfLFJPsCuhPR053ebtXG36gKQLAkOcteHwWCvx4pDqqz0ZBz2JMfp3MLxmXR8Al9-Q96_-2O1AbTBWzf-pTXTKJqWYoa0oMLSNTiHiq1NXXWpJ_U2rR-EvDmJCAxA_0cNjjGqFZfPv8_e_X9lH11h90SumEbvRsH6_t4CsoDaIKPMVD712TO1FQIf9xQUyGoYyHAL6uy-Xk</recordid><startdate>20200702</startdate><enddate>20200702</enddate><creator>Kato, Soichiro</creator><creator>Yamaguchi, Yoshihiro</creator><creator>Kawachi, Ichiro</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8872-2192</orcidid></search><sort><creationdate>20200702</creationdate><title>Assessment of community vulnerability and medical surge capacity in a foreseeable major disaster</title><author>Kato, Soichiro ; Yamaguchi, Yoshihiro ; Kawachi, Ichiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c735t-3b59c80e168d4856229e1b207e36ca0e01a83afffa8a2b73bc59cb24fb9670173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Behavioral sciences</topic><topic>Biology and Life Sciences</topic><topic>Casualties</topic><topic>Community health services</topic><topic>Cooperation</topic><topic>Correlation analysis</topic><topic>Cost of living</topic><topic>Critical care</topic><topic>Demand analysis</topic><topic>Disaster management</topic><topic>Disaster planning</topic><topic>Disasters</topic><topic>Earth Sciences</topic><topic>Earthquake damage</topic><topic>Earthquake prediction</topic><topic>Earthquakes</topic><topic>Emergency preparedness</topic><topic>Evaluation</topic><topic>Forecasts and trends</topic><topic>Government employees</topic><topic>Hospitals</topic><topic>Local government</topic><topic>Management</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Metropolitan areas</topic><topic>Municipalities</topic><topic>People and Places</topic><topic>Population</topic><topic>Public health</topic><topic>Seismic activity</topic><topic>Shortages</topic><topic>Social Sciences</topic><topic>Socioeconomic factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kato, Soichiro</creatorcontrib><creatorcontrib>Yamaguchi, Yoshihiro</creatorcontrib><creatorcontrib>Kawachi, Ichiro</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kato, Soichiro</au><au>Yamaguchi, Yoshihiro</au><au>Kawachi, Ichiro</au><au>Martínez-Álvarez, Francisco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of community vulnerability and medical surge capacity in a foreseeable major disaster</atitle><jtitle>PloS one</jtitle><date>2020-07-02</date><risdate>2020</risdate><volume>15</volume><issue>7</issue><spage>e0235425</spage><epage>e0235425</epage><pages>e0235425-e0235425</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Developing an adequate disaster response capacity involves an assessment of available resources in areas that are vulnerable to disaster. Here, we sought to evaluate the gap between predicted damage in a foreseeable major earthquake versus existing municipality-level resources in Tokyo, Japan. Our study focused on the 53 municipalities in Tokyo to evaluate the relationships between the predicted number of severe casualties per 1,000 population from a future earthquake, community characteristics, and inpatient bed supply in local hospitals. Correlation analysis and supply-demand balance estimations were carried out at the municipality level, and the results were geographically visualized using choropleth maps. The correlation analysis showed that higher casualties were correlated with municipalities with faster population increase, higher taxable incomes, lower unemployment rates, and higher bed volumes in disaster base hospitals. Under a maximal damage scenario in a future earthquake, we predict a shortage of 2,780 beds for the treatment of severe casualties across Tokyo. Even under a scenario of cooperation among neighboring municipalities, a shortage of 7,107 beds would remain. Tokyo is located in a zone where major earthquake damage is anticipated. Cooperation between neighboring municipalities may not suffice to address the undersupply of beds during the acute phase of a disaster. Hence, existing disaster preparedness plans require further reinforcement with a focus on local vulnerabilities.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>32614883</pmid><doi>10.1371/journal.pone.0235425</doi><tpages>e0235425</tpages><orcidid>https://orcid.org/0000-0002-8872-2192</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2020-07, Vol.15 (7), p.e0235425-e0235425
issn 1932-6203
1932-6203
language eng
recordid cdi_gale_healthsolutions_A628361423
source DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Behavioral sciences
Biology and Life Sciences
Casualties
Community health services
Cooperation
Correlation analysis
Cost of living
Critical care
Demand analysis
Disaster management
Disaster planning
Disasters
Earth Sciences
Earthquake damage
Earthquake prediction
Earthquakes
Emergency preparedness
Evaluation
Forecasts and trends
Government employees
Hospitals
Local government
Management
Medicine
Medicine and Health Sciences
Methods
Metropolitan areas
Municipalities
People and Places
Population
Public health
Seismic activity
Shortages
Social Sciences
Socioeconomic factors
title Assessment of community vulnerability and medical surge capacity in a foreseeable major disaster
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T07%3A24%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20community%20vulnerability%20and%20medical%20surge%20capacity%20in%20a%20foreseeable%20major%20disaster&rft.jtitle=PloS%20one&rft.au=Kato,%20Soichiro&rft.date=2020-07-02&rft.volume=15&rft.issue=7&rft.spage=e0235425&rft.epage=e0235425&rft.pages=e0235425-e0235425&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0235425&rft_dat=%3Cgale_plos_%3EA628361423%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2419691338&rft_id=info:pmid/32614883&rft_galeid=A628361423&rft_doaj_id=oai_doaj_org_article_b12234c5bc54423cba99bef3934a3b44&rfr_iscdi=true