Estimating the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan through modeling and case reports
Coronavirus disease 2019 (COVID-19) started in Wuhan, China and has spread through other provinces and countries through infected travelers. On January 23rd, 2020, China issued a quarantine and travel ban on Wuhan because travelers from Wuhan were thought to account for the majority of exported COVI...
Gespeichert in:
Veröffentlicht in: | PloS one 2020-06, Vol.15 (6), p.e0234955-e0234955 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0234955 |
---|---|
container_issue | 6 |
container_start_page | e0234955 |
container_title | PloS one |
container_volume | 15 |
creator | Luo, George McHenry, Michael L Letterio, John J |
description | Coronavirus disease 2019 (COVID-19) started in Wuhan, China and has spread through other provinces and countries through infected travelers. On January 23rd, 2020, China issued a quarantine and travel ban on Wuhan because travelers from Wuhan were thought to account for the majority of exported COVID-19 cases to other countries. Additionally, countries evacuated their citizens from Wuhan after institution of the travel ban. Together, these two populations account for the vast majority of the "total cases with travel history to China" as designated by the World Health Organization (WHO). The current study aims to assess the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan. We first used case reports from Japan, Singapore, and Korea to investigate the date of flights of infected travelers. We then used airline traveler data and the number of infected exported cases to correlate the cases with the number of travelers for multiple countries. Our findings suggest that the risk of COVID-19 infection is highest among Wuhan travelers between January 19th and 22nd, 2020, with an approximate infection rate of up to 1.3% among international travelers. We also observed that evacuee infection rates varied heavily between countries and propose that the timing of the evacuation and COVID-19 testing of asymptomatic evacuees played significant roles in the infection rates among evacuees. These findings suggest COVID-19 cases and infectivity are much higher than previous estimates, including numbers from the WHO and the literature, and that some estimates of the infectivity of COVID-19 may need re-assessment. |
doi_str_mv | 10.1371/journal.pone.0234955 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2416238546</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A627453525</galeid><doaj_id>oai_doaj_org_article_27ce0afdc208421fafc466e99282b6b9</doaj_id><sourcerecordid>A627453525</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-bac2b73a499214776c93ceb0fd9b7ff48d2bd800e26ced6bec3a96a4ec9425953</originalsourceid><addsrcrecordid>eNqNk12L1DAUhoso7rr6D0QLgujFjM1H0-ZGWMZVBxYG_FgvQ5qetlnbZjZJB733h5vOdJep7IX0oiV93vc9OcmJoucoWSKSoXfXZrC9bJdb08MywYTyNH0QnSJO8ILhhDw8-j6Jnjh3nSQpyRl7HJ0QnGYUZdlp9OfCed1Jr_s69g3EWws72UKvIJZ9GVvtfsamilebq_WHBeKx7Ewgde8hhHttQgWxt3IHLVi3lwS9GgDcKPsxNLIPvtYMdRN3poR2DBoxJR3EFrbGevc0elTJ1sGz6X0Wff948W31eXG5-bRenV8uFOPYLwqpcJERSTnHiGYZU5woKJKq5EVWVTQvcVHmSQKYKShZAYpIziQFxSlOeUrOopcH321rnJga6ASmiGGSp5QFYn0gSiOvxdaG1tjfwkgt9gvG1kJar1ULAmcKElmVCic5xaiSlaKMQagtxwUrePB6P6UNRQelgj40qp2Zzv_0uhG12YmMoCTDY7lvJgNrbgZwXnTaKWhb2YMZDnVzynKOAvrqH_T-3U1UHY5Y6L4yIVeNpuKc4YymJN3HLu-hwlNCp1W4bZUO6zPB25kgMB5--VoOzon11y__z26u5uzrI7YB2frGmXYYr52bg_QAKmucs1DdNRklYhyW226IcVjENCxB9uL4gO5Et9NB_gJYJRCz</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2416238546</pqid></control><display><type>article</type><title>Estimating the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan through modeling and case reports</title><source>MEDLINE</source><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>Luo, George ; McHenry, Michael L ; Letterio, John J</creator><contributor>Paniagua, Jordi</contributor><creatorcontrib>Luo, George ; McHenry, Michael L ; Letterio, John J ; Paniagua, Jordi</creatorcontrib><description>Coronavirus disease 2019 (COVID-19) started in Wuhan, China and has spread through other provinces and countries through infected travelers. On January 23rd, 2020, China issued a quarantine and travel ban on Wuhan because travelers from Wuhan were thought to account for the majority of exported COVID-19 cases to other countries. Additionally, countries evacuated their citizens from Wuhan after institution of the travel ban. Together, these two populations account for the vast majority of the "total cases with travel history to China" as designated by the World Health Organization (WHO). The current study aims to assess the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan. We first used case reports from Japan, Singapore, and Korea to investigate the date of flights of infected travelers. We then used airline traveler data and the number of infected exported cases to correlate the cases with the number of travelers for multiple countries. Our findings suggest that the risk of COVID-19 infection is highest among Wuhan travelers between January 19th and 22nd, 2020, with an approximate infection rate of up to 1.3% among international travelers. We also observed that evacuee infection rates varied heavily between countries and propose that the timing of the evacuation and COVID-19 testing of asymptomatic evacuees played significant roles in the infection rates among evacuees. These findings suggest COVID-19 cases and infectivity are much higher than previous estimates, including numbers from the WHO and the literature, and that some estimates of the infectivity of COVID-19 may need re-assessment.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0234955</identifier><identifier>PMID: 32574177</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aircraft ; Asymptomatic ; Asymptomatic Infections ; Case reports ; China ; Communicable Disease Control ; Computer and Information Sciences ; Coronavirus Infections - epidemiology ; Coronavirus Infections - transmission ; Coronaviruses ; COVID-19 ; Disease Transmission, Infectious ; Distribution ; Epidemics ; Foreign visitors ; Health aspects ; Health risks ; Humans ; Infections ; Infectivity ; Investigations ; Medicine and Health Sciences ; Models, Biological ; Pandemics ; People and Places ; Physical Sciences ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - transmission ; Prevalence ; Refugees ; Research and Analysis Methods ; Risk factors ; Travel ; Viral diseases</subject><ispartof>PloS one, 2020-06, Vol.15 (6), p.e0234955-e0234955</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Luo 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 Luo et al 2020 Luo et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-bac2b73a499214776c93ceb0fd9b7ff48d2bd800e26ced6bec3a96a4ec9425953</citedby><cites>FETCH-LOGICAL-c692t-bac2b73a499214776c93ceb0fd9b7ff48d2bd800e26ced6bec3a96a4ec9425953</cites><orcidid>0000-0002-0566-2025</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/PMC7310725/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310725/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32574177$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Paniagua, Jordi</contributor><creatorcontrib>Luo, George</creatorcontrib><creatorcontrib>McHenry, Michael L</creatorcontrib><creatorcontrib>Letterio, John J</creatorcontrib><title>Estimating the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan through modeling and case reports</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Coronavirus disease 2019 (COVID-19) started in Wuhan, China and has spread through other provinces and countries through infected travelers. On January 23rd, 2020, China issued a quarantine and travel ban on Wuhan because travelers from Wuhan were thought to account for the majority of exported COVID-19 cases to other countries. Additionally, countries evacuated their citizens from Wuhan after institution of the travel ban. Together, these two populations account for the vast majority of the "total cases with travel history to China" as designated by the World Health Organization (WHO). The current study aims to assess the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan. We first used case reports from Japan, Singapore, and Korea to investigate the date of flights of infected travelers. We then used airline traveler data and the number of infected exported cases to correlate the cases with the number of travelers for multiple countries. Our findings suggest that the risk of COVID-19 infection is highest among Wuhan travelers between January 19th and 22nd, 2020, with an approximate infection rate of up to 1.3% among international travelers. We also observed that evacuee infection rates varied heavily between countries and propose that the timing of the evacuation and COVID-19 testing of asymptomatic evacuees played significant roles in the infection rates among evacuees. These findings suggest COVID-19 cases and infectivity are much higher than previous estimates, including numbers from the WHO and the literature, and that some estimates of the infectivity of COVID-19 may need re-assessment.</description><subject>Aircraft</subject><subject>Asymptomatic</subject><subject>Asymptomatic Infections</subject><subject>Case reports</subject><subject>China</subject><subject>Communicable Disease Control</subject><subject>Computer and Information Sciences</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - transmission</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease Transmission, Infectious</subject><subject>Distribution</subject><subject>Epidemics</subject><subject>Foreign visitors</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Humans</subject><subject>Infections</subject><subject>Infectivity</subject><subject>Investigations</subject><subject>Medicine and Health Sciences</subject><subject>Models, Biological</subject><subject>Pandemics</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Pneumonia, Viral - epidemiology</subject><subject>Pneumonia, Viral - transmission</subject><subject>Prevalence</subject><subject>Refugees</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Travel</subject><subject>Viral diseases</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><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>eNqNk12L1DAUhoso7rr6D0QLgujFjM1H0-ZGWMZVBxYG_FgvQ5qetlnbZjZJB733h5vOdJep7IX0oiV93vc9OcmJoucoWSKSoXfXZrC9bJdb08MywYTyNH0QnSJO8ILhhDw8-j6Jnjh3nSQpyRl7HJ0QnGYUZdlp9OfCed1Jr_s69g3EWws72UKvIJZ9GVvtfsamilebq_WHBeKx7Ewgde8hhHttQgWxt3IHLVi3lwS9GgDcKPsxNLIPvtYMdRN3poR2DBoxJR3EFrbGevc0elTJ1sGz6X0Wff948W31eXG5-bRenV8uFOPYLwqpcJERSTnHiGYZU5woKJKq5EVWVTQvcVHmSQKYKShZAYpIziQFxSlOeUrOopcH321rnJga6ASmiGGSp5QFYn0gSiOvxdaG1tjfwkgt9gvG1kJar1ULAmcKElmVCic5xaiSlaKMQagtxwUrePB6P6UNRQelgj40qp2Zzv_0uhG12YmMoCTDY7lvJgNrbgZwXnTaKWhb2YMZDnVzynKOAvrqH_T-3U1UHY5Y6L4yIVeNpuKc4YymJN3HLu-hwlNCp1W4bZUO6zPB25kgMB5--VoOzon11y__z26u5uzrI7YB2frGmXYYr52bg_QAKmucs1DdNRklYhyW226IcVjENCxB9uL4gO5Et9NB_gJYJRCz</recordid><startdate>20200623</startdate><enddate>20200623</enddate><creator>Luo, George</creator><creator>McHenry, Michael L</creator><creator>Letterio, John J</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><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>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>COVID</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/0000-0002-0566-2025</orcidid></search><sort><creationdate>20200623</creationdate><title>Estimating the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan through modeling and case reports</title><author>Luo, George ; McHenry, Michael L ; Letterio, John J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-bac2b73a499214776c93ceb0fd9b7ff48d2bd800e26ced6bec3a96a4ec9425953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aircraft</topic><topic>Asymptomatic</topic><topic>Asymptomatic Infections</topic><topic>Case reports</topic><topic>China</topic><topic>Communicable Disease Control</topic><topic>Computer and Information Sciences</topic><topic>Coronavirus Infections - epidemiology</topic><topic>Coronavirus Infections - transmission</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Disease Transmission, Infectious</topic><topic>Distribution</topic><topic>Epidemics</topic><topic>Foreign visitors</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Humans</topic><topic>Infections</topic><topic>Infectivity</topic><topic>Investigations</topic><topic>Medicine and Health Sciences</topic><topic>Models, Biological</topic><topic>Pandemics</topic><topic>People and Places</topic><topic>Physical Sciences</topic><topic>Pneumonia, Viral - epidemiology</topic><topic>Pneumonia, Viral - transmission</topic><topic>Prevalence</topic><topic>Refugees</topic><topic>Research and Analysis Methods</topic><topic>Risk factors</topic><topic>Travel</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luo, George</creatorcontrib><creatorcontrib>McHenry, Michael L</creatorcontrib><creatorcontrib>Letterio, John J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><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 & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & 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 & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & 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>Coronavirus Research Database</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 & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & 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 & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & 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>Luo, George</au><au>McHenry, Michael L</au><au>Letterio, John J</au><au>Paniagua, Jordi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan through modeling and case reports</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-06-23</date><risdate>2020</risdate><volume>15</volume><issue>6</issue><spage>e0234955</spage><epage>e0234955</epage><pages>e0234955-e0234955</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Coronavirus disease 2019 (COVID-19) started in Wuhan, China and has spread through other provinces and countries through infected travelers. On January 23rd, 2020, China issued a quarantine and travel ban on Wuhan because travelers from Wuhan were thought to account for the majority of exported COVID-19 cases to other countries. Additionally, countries evacuated their citizens from Wuhan after institution of the travel ban. Together, these two populations account for the vast majority of the "total cases with travel history to China" as designated by the World Health Organization (WHO). The current study aims to assess the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan. We first used case reports from Japan, Singapore, and Korea to investigate the date of flights of infected travelers. We then used airline traveler data and the number of infected exported cases to correlate the cases with the number of travelers for multiple countries. Our findings suggest that the risk of COVID-19 infection is highest among Wuhan travelers between January 19th and 22nd, 2020, with an approximate infection rate of up to 1.3% among international travelers. We also observed that evacuee infection rates varied heavily between countries and propose that the timing of the evacuation and COVID-19 testing of asymptomatic evacuees played significant roles in the infection rates among evacuees. These findings suggest COVID-19 cases and infectivity are much higher than previous estimates, including numbers from the WHO and the literature, and that some estimates of the infectivity of COVID-19 may need re-assessment.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32574177</pmid><doi>10.1371/journal.pone.0234955</doi><tpages>e0234955</tpages><orcidid>https://orcid.org/0000-0002-0566-2025</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2020-06, Vol.15 (6), p.e0234955-e0234955 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2416238546 |
source | MEDLINE; 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 | Aircraft Asymptomatic Asymptomatic Infections Case reports China Communicable Disease Control Computer and Information Sciences Coronavirus Infections - epidemiology Coronavirus Infections - transmission Coronaviruses COVID-19 Disease Transmission, Infectious Distribution Epidemics Foreign visitors Health aspects Health risks Humans Infections Infectivity Investigations Medicine and Health Sciences Models, Biological Pandemics People and Places Physical Sciences Pneumonia, Viral - epidemiology Pneumonia, Viral - transmission Prevalence Refugees Research and Analysis Methods Risk factors Travel Viral diseases |
title | Estimating the prevalence and risk of COVID-19 among international travelers and evacuees of Wuhan through modeling and case reports |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T02%3A44%3A26IST&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=Estimating%20the%20prevalence%20and%20risk%20of%20COVID-19%20among%20international%20travelers%20and%20evacuees%20of%20Wuhan%20through%20modeling%20and%20case%20reports&rft.jtitle=PloS%20one&rft.au=Luo,%20George&rft.date=2020-06-23&rft.volume=15&rft.issue=6&rft.spage=e0234955&rft.epage=e0234955&rft.pages=e0234955-e0234955&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0234955&rft_dat=%3Cgale_plos_%3EA627453525%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=2416238546&rft_id=info:pmid/32574177&rft_galeid=A627453525&rft_doaj_id=oai_doaj_org_article_27ce0afdc208421fafc466e99282b6b9&rfr_iscdi=true |