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Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions
Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection exported from mainland China could lead to self-sustained outbreaks in other countries. By February 2020, several countries were reporting imported SARS-CoV-2 cases. To contain the virus, early detection of imported SARS...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323530/ https://www.ncbi.nlm.nih.gov/pubmed/32207679 http://dx.doi.org/10.3201/eid2607.200250 |
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author | De Salazar, Pablo Martinez Niehus, René Taylor, Aimee Buckee, Caroline O’Flaherty Lipsitch, Marc |
author_facet | De Salazar, Pablo Martinez Niehus, René Taylor, Aimee Buckee, Caroline O’Flaherty Lipsitch, Marc |
author_sort | De Salazar, Pablo Martinez |
collection | PubMed |
description | Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection exported from mainland China could lead to self-sustained outbreaks in other countries. By February 2020, several countries were reporting imported SARS-CoV-2 cases. To contain the virus, early detection of imported SARS-CoV-2 cases is critical. We used air travel volume estimates from Wuhan, China, to international destinations and a generalized linear regression model to identify locations that could have undetected imported cases. Our model can be adjusted to account for exportation of cases from other locations as the virus spreads and more information on importations and transmission becomes available. Early detection and appropriate control measures can reduce the risk for transmission in all locations. |
format | Online Article Text |
id | pubmed-7323530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-73235302020-07-01 Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions De Salazar, Pablo Martinez Niehus, René Taylor, Aimee Buckee, Caroline O’Flaherty Lipsitch, Marc Emerg Infect Dis Research Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection exported from mainland China could lead to self-sustained outbreaks in other countries. By February 2020, several countries were reporting imported SARS-CoV-2 cases. To contain the virus, early detection of imported SARS-CoV-2 cases is critical. We used air travel volume estimates from Wuhan, China, to international destinations and a generalized linear regression model to identify locations that could have undetected imported cases. Our model can be adjusted to account for exportation of cases from other locations as the virus spreads and more information on importations and transmission becomes available. Early detection and appropriate control measures can reduce the risk for transmission in all locations. Centers for Disease Control and Prevention 2020-07 /pmc/articles/PMC7323530/ /pubmed/32207679 http://dx.doi.org/10.3201/eid2607.200250 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research De Salazar, Pablo Martinez Niehus, René Taylor, Aimee Buckee, Caroline O’Flaherty Lipsitch, Marc Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions |
title | Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions |
title_full | Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions |
title_fullStr | Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions |
title_full_unstemmed | Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions |
title_short | Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions |
title_sort | identifying locations with possible undetected imported severe acute respiratory syndrome coronavirus 2 cases by using importation predictions |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323530/ https://www.ncbi.nlm.nih.gov/pubmed/32207679 http://dx.doi.org/10.3201/eid2607.200250 |
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