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Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study.

Identifieur interne : 000341 ( Main/Exploration ); précédent : 000340; suivant : 000342

Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study.

Auteurs : Francesco Pinotti [France] ; Laura Di Domenico [France] ; Ernesto Ortega [Cuba] ; Marco Mancastroppa [Italie] ; Giulia Pullano [France] ; Eugenio Valdano [France, États-Unis] ; Pierre-Yves Boëlle [France] ; Chiara Poletto [France] ; Vittoria Colizza [France]

Source :

RBID : pubmed:32678827

Descripteurs français

English descriptors

Abstract

BACKGROUND

In the early months of 2020, a novel coronavirus disease (COVID-19) spread rapidly from China across multiple countries worldwide. As of March 17, 2020, COVID-19 was officially declared a pandemic by the World Health Organization. We collected data on COVID-19 cases outside China during the early phase of the pandemic and used them to predict trends in importations and quantify the proportion of undetected imported cases.

METHODS AND FINDINGS

Two hundred and eighty-eight cases have been confirmed out of China from January 3 to February 13, 2020. We collected and synthesized all available information on these cases from official sources and media. We analyzed importations that were successfully isolated and those leading to onward transmission. We modeled their number over time, in relation to the origin of travel (Hubei province, other Chinese provinces, other countries) and interventions. We characterized the importation timeline to assess the rapidity of isolation and epidemiologically linked clusters to estimate the rate of detection. We found a rapid exponential growth of importations from Hubei, corresponding to a doubling time of 2.8 days, combined with a slower growth from the other areas. We predicted a rebound of importations from South East Asia in the successive weeks. Time from travel to detection has considerably decreased since first importation, from 14.5 ± 5.5 days on January 5, 2020, to 6 ± 3.5 days on February 1, 2020. However, we estimated 36% of detection of imported cases. This study is restricted to the early phase of the pandemic, when China was the only large epicenter and foreign countries had not discovered extensive local transmission yet. Missing information in case history was accounted for through modeling and imputation.

CONCLUSIONS

Our findings indicate that travel bans and containment strategies adopted in China were effective in reducing the exportation growth rate. However, the risk of importation was estimated to increase again from other sources in South East Asia. Surveillance and management of traveling cases represented a priority in the early phase of the epidemic. With the majority of imported cases going undetected (6 out of 10), countries experienced several undetected clusters of chains of local transmissions, fueling silent epidemics in the community. These findings become again critical to prevent second waves, now that countries have reduced their epidemic activity and progressively phase out lockdown.


DOI: 10.1371/journal.pmed.1003193
PubMed: 32678827
PubMed Central: PMC7367442


Affiliations:


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<b>BACKGROUND</b>
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<p>In the early months of 2020, a novel coronavirus disease (COVID-19) spread rapidly from China across multiple countries worldwide. As of March 17, 2020, COVID-19 was officially declared a pandemic by the World Health Organization. We collected data on COVID-19 cases outside China during the early phase of the pandemic and used them to predict trends in importations and quantify the proportion of undetected imported cases.</p>
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<p>
<b>METHODS AND FINDINGS</b>
</p>
<p>Two hundred and eighty-eight cases have been confirmed out of China from January 3 to February 13, 2020. We collected and synthesized all available information on these cases from official sources and media. We analyzed importations that were successfully isolated and those leading to onward transmission. We modeled their number over time, in relation to the origin of travel (Hubei province, other Chinese provinces, other countries) and interventions. We characterized the importation timeline to assess the rapidity of isolation and epidemiologically linked clusters to estimate the rate of detection. We found a rapid exponential growth of importations from Hubei, corresponding to a doubling time of 2.8 days, combined with a slower growth from the other areas. We predicted a rebound of importations from South East Asia in the successive weeks. Time from travel to detection has considerably decreased since first importation, from 14.5 ± 5.5 days on January 5, 2020, to 6 ± 3.5 days on February 1, 2020. However, we estimated 36% of detection of imported cases. This study is restricted to the early phase of the pandemic, when China was the only large epicenter and foreign countries had not discovered extensive local transmission yet. Missing information in case history was accounted for through modeling and imputation.</p>
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<b>CONCLUSIONS</b>
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<p>Our findings indicate that travel bans and containment strategies adopted in China were effective in reducing the exportation growth rate. However, the risk of importation was estimated to increase again from other sources in South East Asia. Surveillance and management of traveling cases represented a priority in the early phase of the epidemic. With the majority of imported cases going undetected (6 out of 10), countries experienced several undetected clusters of chains of local transmissions, fueling silent epidemics in the community. These findings become again critical to prevent second waves, now that countries have reduced their epidemic activity and progressively phase out lockdown.</p>
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<Abstract>
<AbstractText Label="BACKGROUND">In the early months of 2020, a novel coronavirus disease (COVID-19) spread rapidly from China across multiple countries worldwide. As of March 17, 2020, COVID-19 was officially declared a pandemic by the World Health Organization. We collected data on COVID-19 cases outside China during the early phase of the pandemic and used them to predict trends in importations and quantify the proportion of undetected imported cases.</AbstractText>
<AbstractText Label="METHODS AND FINDINGS">Two hundred and eighty-eight cases have been confirmed out of China from January 3 to February 13, 2020. We collected and synthesized all available information on these cases from official sources and media. We analyzed importations that were successfully isolated and those leading to onward transmission. We modeled their number over time, in relation to the origin of travel (Hubei province, other Chinese provinces, other countries) and interventions. We characterized the importation timeline to assess the rapidity of isolation and epidemiologically linked clusters to estimate the rate of detection. We found a rapid exponential growth of importations from Hubei, corresponding to a doubling time of 2.8 days, combined with a slower growth from the other areas. We predicted a rebound of importations from South East Asia in the successive weeks. Time from travel to detection has considerably decreased since first importation, from 14.5 ± 5.5 days on January 5, 2020, to 6 ± 3.5 days on February 1, 2020. However, we estimated 36% of detection of imported cases. This study is restricted to the early phase of the pandemic, when China was the only large epicenter and foreign countries had not discovered extensive local transmission yet. Missing information in case history was accounted for through modeling and imputation.</AbstractText>
<AbstractText Label="CONCLUSIONS">Our findings indicate that travel bans and containment strategies adopted in China were effective in reducing the exportation growth rate. However, the risk of importation was estimated to increase again from other sources in South East Asia. Surveillance and management of traveling cases represented a priority in the early phase of the epidemic. With the majority of imported cases going undetected (6 out of 10), countries experienced several undetected clusters of chains of local transmissions, fueling silent epidemics in the community. These findings become again critical to prevent second waves, now that countries have reduced their epidemic activity and progressively phase out lockdown.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Pinotti</LastName>
<ForeName>Francesco</ForeName>
<Initials>F</Initials>
<AffiliationInfo>
<Affiliation>INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Di Domenico</LastName>
<ForeName>Laura</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Ortega</LastName>
<ForeName>Ernesto</ForeName>
<Initials>E</Initials>
<AffiliationInfo>
<Affiliation>Facultad de Física, Universidad de la Habana, Cuba.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Mancastroppa</LastName>
<ForeName>Marco</ForeName>
<Initials>M</Initials>
<Identifier Source="ORCID">0000-0002-7344-7992</Identifier>
<AffiliationInfo>
<Affiliation>Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università degli Studi di Parma, Parco Area delle Scienze, Parma, Italy.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>INFN, Gruppo Collegato di Parma, Parco Area delle Scienze, Parma, Italy.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Pullano</LastName>
<ForeName>Giulia</ForeName>
<Initials>G</Initials>
<AffiliationInfo>
<Affiliation>INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Sociology and Economics of Networks and Services lab at Orange Experience Design Lab (SENSE/XDLab) Chatillion, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Valdano</LastName>
<ForeName>Eugenio</ForeName>
<Initials>E</Initials>
<Identifier Source="ORCID">0000-0002-9246-6195</Identifier>
<AffiliationInfo>
<Affiliation>INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Center for Biomedical Modeling, The Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Boëlle</LastName>
<ForeName>Pierre-Yves</ForeName>
<Initials>PY</Initials>
<Identifier Source="ORCID">0000-0002-5367-8232</Identifier>
<AffiliationInfo>
<Affiliation>INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Poletto</LastName>
<ForeName>Chiara</ForeName>
<Initials>C</Initials>
<Identifier Source="ORCID">0000-0002-4051-1716</Identifier>
<AffiliationInfo>
<Affiliation>INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Colizza</LastName>
<ForeName>Vittoria</ForeName>
<Initials>V</Initials>
<Identifier Source="ORCID">0000-0002-2113-2374</Identifier>
<AffiliationInfo>
<Affiliation>INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
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<ArticleDate DateType="Electronic">
<Year>2020</Year>
<Month>07</Month>
<Day>17</Day>
</ArticleDate>
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<Country>United States</Country>
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<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
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<MeshHeading>
<DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D003140" MajorTopicYN="N">Communicable Disease Control</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName>
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</MeshHeading>
<MeshHeading>
<DescriptorName UI="D014195" MajorTopicYN="Y">Travel</DescriptorName>
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<CoiStatement>The authors have declared that no competing interests exist.</CoiStatement>
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<Month>02</Month>
<Day>27</Day>
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<Month>06</Month>
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