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Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis

Background Scant data are available about global patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread and global epidemiology of early confirmed cases of COVID-19 outside mainland China. We describe the global spread of SARS-CoV-2 and characteristics of COVID-19 cases and...

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Autores principales: Dawood, Fatimah S, Ricks, Philip, Njie, Gibril J, Daugherty, Michael, Davis, William, Fuller, James A, Winstead, Alison, McCarron, Margaret, Scott, Lia C, Chen, Diana, Blain, Amy E, Moolenaar, Ron, Li, Chaoyang, Popoola, Adebola, Jones, Cynthia, Anantharam, Puneet, Olson, Natalie, Marston, Barbara J, Bennett, Sarah D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836788/
https://www.ncbi.nlm.nih.gov/pubmed/32738203
http://dx.doi.org/10.1016/S1473-3099(20)30581-8
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author Dawood, Fatimah S
Ricks, Philip
Njie, Gibril J
Daugherty, Michael
Davis, William
Fuller, James A
Winstead, Alison
McCarron, Margaret
Scott, Lia C
Chen, Diana
Blain, Amy E
Moolenaar, Ron
Li, Chaoyang
Popoola, Adebola
Jones, Cynthia
Anantharam, Puneet
Olson, Natalie
Marston, Barbara J
Bennett, Sarah D
author_facet Dawood, Fatimah S
Ricks, Philip
Njie, Gibril J
Daugherty, Michael
Davis, William
Fuller, James A
Winstead, Alison
McCarron, Margaret
Scott, Lia C
Chen, Diana
Blain, Amy E
Moolenaar, Ron
Li, Chaoyang
Popoola, Adebola
Jones, Cynthia
Anantharam, Puneet
Olson, Natalie
Marston, Barbara J
Bennett, Sarah D
author_sort Dawood, Fatimah S
collection PubMed
description Background Scant data are available about global patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread and global epidemiology of early confirmed cases of COVID-19 outside mainland China. We describe the global spread of SARS-CoV-2 and characteristics of COVID-19 cases and clusters before the characterisation of COVID-19 as a pandemic. METHODS: Cases of COVID-19 reported between Dec 31, 2019, and March 10, 2020 (ie, the prepandemic period), were identified daily from official websites, press releases, press conference transcripts, and social media feeds of national ministries of health or other government agencies. Case characteristics, travel history, and exposures to other cases were abstracted. Countries with at least one case were classified as affected. Early cases were defined as those among the first 100 cases reported from each country. Later cases were defined as those after the first 100 cases. We analysed reported travel to affected countries among the first case reported from each country outside mainland China, demographic and exposure characteristics among cases with age or sex information, and cluster frequencies and sizes by transmission settings. FINDINGS: Among the first case reported from each of 99 affected countries outside of mainland China, 75 (76%) had recent travel to affected countries; 60 (61%) had travelled to China, Italy, or Iran. Among 1200 cases with age or sex information, 874 (73%) were early cases. Among 762 early cases with age information, the median age was 51 years (IQR 35–63); 25 (3%) of 762 early cases occurred in children younger than 18 years. Overall, 21 (2%) of 1200 cases were in health-care workers and none were in pregnant women. 101 clusters were identified, of which the most commonly identified transmission setting was households (76 [75%]; mean 2·6 cases per cluster [range 2–7]), followed by non-health-care occupational settings (14 [14%]; mean 4·3 cases per cluster [2–14]), and community gatherings (11 [11%]; mean 14·2 cases per cluster [4–36]). INTERPRETATION: Cases with travel links to China, Italy, or Iran accounted for almost two-thirds of the first reported COVID-19 cases from affected countries. Among cases with age information available, most were among adults aged 18 years and older. Although there were many clusters of household transmission among early cases, clusters in occupational or community settings tended to be larger, supporting a possible role for physical distancing to slow the progression of SARS-CoV-2 spread. FUNDING: None.
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spelling pubmed-78367882021-01-26 Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis Dawood, Fatimah S Ricks, Philip Njie, Gibril J Daugherty, Michael Davis, William Fuller, James A Winstead, Alison McCarron, Margaret Scott, Lia C Chen, Diana Blain, Amy E Moolenaar, Ron Li, Chaoyang Popoola, Adebola Jones, Cynthia Anantharam, Puneet Olson, Natalie Marston, Barbara J Bennett, Sarah D Lancet Infect Dis Articles Background Scant data are available about global patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread and global epidemiology of early confirmed cases of COVID-19 outside mainland China. We describe the global spread of SARS-CoV-2 and characteristics of COVID-19 cases and clusters before the characterisation of COVID-19 as a pandemic. METHODS: Cases of COVID-19 reported between Dec 31, 2019, and March 10, 2020 (ie, the prepandemic period), were identified daily from official websites, press releases, press conference transcripts, and social media feeds of national ministries of health or other government agencies. Case characteristics, travel history, and exposures to other cases were abstracted. Countries with at least one case were classified as affected. Early cases were defined as those among the first 100 cases reported from each country. Later cases were defined as those after the first 100 cases. We analysed reported travel to affected countries among the first case reported from each country outside mainland China, demographic and exposure characteristics among cases with age or sex information, and cluster frequencies and sizes by transmission settings. FINDINGS: Among the first case reported from each of 99 affected countries outside of mainland China, 75 (76%) had recent travel to affected countries; 60 (61%) had travelled to China, Italy, or Iran. Among 1200 cases with age or sex information, 874 (73%) were early cases. Among 762 early cases with age information, the median age was 51 years (IQR 35–63); 25 (3%) of 762 early cases occurred in children younger than 18 years. Overall, 21 (2%) of 1200 cases were in health-care workers and none were in pregnant women. 101 clusters were identified, of which the most commonly identified transmission setting was households (76 [75%]; mean 2·6 cases per cluster [range 2–7]), followed by non-health-care occupational settings (14 [14%]; mean 4·3 cases per cluster [2–14]), and community gatherings (11 [11%]; mean 14·2 cases per cluster [4–36]). INTERPRETATION: Cases with travel links to China, Italy, or Iran accounted for almost two-thirds of the first reported COVID-19 cases from affected countries. Among cases with age information available, most were among adults aged 18 years and older. Although there were many clusters of household transmission among early cases, clusters in occupational or community settings tended to be larger, supporting a possible role for physical distancing to slow the progression of SARS-CoV-2 spread. FUNDING: None. Elsevier Ltd. 2020-11 2020-07-29 /pmc/articles/PMC7836788/ /pubmed/32738203 http://dx.doi.org/10.1016/S1473-3099(20)30581-8 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Articles
Dawood, Fatimah S
Ricks, Philip
Njie, Gibril J
Daugherty, Michael
Davis, William
Fuller, James A
Winstead, Alison
McCarron, Margaret
Scott, Lia C
Chen, Diana
Blain, Amy E
Moolenaar, Ron
Li, Chaoyang
Popoola, Adebola
Jones, Cynthia
Anantharam, Puneet
Olson, Natalie
Marston, Barbara J
Bennett, Sarah D
Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis
title Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis
title_full Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis
title_fullStr Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis
title_full_unstemmed Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis
title_short Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis
title_sort observations of the global epidemiology of covid-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836788/
https://www.ncbi.nlm.nih.gov/pubmed/32738203
http://dx.doi.org/10.1016/S1473-3099(20)30581-8
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