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Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367442/ https://www.ncbi.nlm.nih.gov/pubmed/32678827 http://dx.doi.org/10.1371/journal.pmed.1003193 |
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author | Pinotti, Francesco Di Domenico, Laura Ortega, Ernesto Mancastroppa, Marco Pullano, Giulia Valdano, Eugenio Boëlle, Pierre-Yves Poletto, Chiara Colizza, Vittoria |
author_facet | Pinotti, Francesco Di Domenico, Laura Ortega, Ernesto Mancastroppa, Marco Pullano, Giulia Valdano, Eugenio Boëlle, Pierre-Yves Poletto, Chiara Colizza, Vittoria |
author_sort | Pinotti, Francesco |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7367442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73674422020-08-05 Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study Pinotti, Francesco Di Domenico, Laura Ortega, Ernesto Mancastroppa, Marco Pullano, Giulia Valdano, Eugenio Boëlle, Pierre-Yves Poletto, Chiara Colizza, Vittoria PLoS Med Research Article 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. Public Library of Science 2020-07-17 /pmc/articles/PMC7367442/ /pubmed/32678827 http://dx.doi.org/10.1371/journal.pmed.1003193 Text en © 2020 Pinotti et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Pinotti, Francesco Di Domenico, Laura Ortega, Ernesto Mancastroppa, Marco Pullano, Giulia Valdano, Eugenio Boëlle, Pierre-Yves Poletto, Chiara Colizza, Vittoria Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study |
title | Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study |
title_full | Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study |
title_fullStr | Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study |
title_full_unstemmed | Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study |
title_short | Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study |
title_sort | tracing and analysis of 288 early sars-cov-2 infections outside china: a modeling study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367442/ https://www.ncbi.nlm.nih.gov/pubmed/32678827 http://dx.doi.org/10.1371/journal.pmed.1003193 |
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