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Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province
The novel coronavirus (COVID-19) has spread to almost all countries in the world, claiming more than 160,000 lives and sickening more than 2,400,000 people by April 21, 2020. There has been research showing that on average, each infected person spreads the infection to more than two persons. Therefo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239081/ https://www.ncbi.nlm.nih.gov/pubmed/32511453 http://dx.doi.org/10.1101/2020.04.23.20074708 |
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author | Liu, Yukun Qin, Jing Fan, Yan Zhou, Yong Follmann, Dean A. Huang, Chiung-Yu |
author_facet | Liu, Yukun Qin, Jing Fan, Yan Zhou, Yong Follmann, Dean A. Huang, Chiung-Yu |
author_sort | Liu, Yukun |
collection | PubMed |
description | The novel coronavirus (COVID-19) has spread to almost all countries in the world, claiming more than 160,000 lives and sickening more than 2,400,000 people by April 21, 2020. There has been research showing that on average, each infected person spreads the infection to more than two persons. Therefore the majority of the population is at risk of infection if no intervention measures were undertaken. The true size of the COVID-19 epidemic remains unknown, as a significant proportion of infected individuals only exhibit mild symptoms or are even asymptomatic. A timely assessment of the evolving epidemic size is crucial for resource allocation and triage decisions. In this article, we modify the back-calculation algorithm to obtain a lower bound estimate of the number of COVID-19 infected persons in China outside the Hubei province. We estimate the infection density among infected and show that the drastic control measures enforced throughout China following the lockdown of Wuhan City effectively slowed down the spread of the disease in two weeks. Our findings from China are expected to provide guidelines and enlightenment for surveillance and control activities of COVID-19 in other countries around the world. |
format | Online Article Text |
id | pubmed-7239081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-72390812020-06-07 Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province Liu, Yukun Qin, Jing Fan, Yan Zhou, Yong Follmann, Dean A. Huang, Chiung-Yu medRxiv Article The novel coronavirus (COVID-19) has spread to almost all countries in the world, claiming more than 160,000 lives and sickening more than 2,400,000 people by April 21, 2020. There has been research showing that on average, each infected person spreads the infection to more than two persons. Therefore the majority of the population is at risk of infection if no intervention measures were undertaken. The true size of the COVID-19 epidemic remains unknown, as a significant proportion of infected individuals only exhibit mild symptoms or are even asymptomatic. A timely assessment of the evolving epidemic size is crucial for resource allocation and triage decisions. In this article, we modify the back-calculation algorithm to obtain a lower bound estimate of the number of COVID-19 infected persons in China outside the Hubei province. We estimate the infection density among infected and show that the drastic control measures enforced throughout China following the lockdown of Wuhan City effectively slowed down the spread of the disease in two weeks. Our findings from China are expected to provide guidelines and enlightenment for surveillance and control activities of COVID-19 in other countries around the world. Cold Spring Harbor Laboratory 2020-04-28 /pmc/articles/PMC7239081/ /pubmed/32511453 http://dx.doi.org/10.1101/2020.04.23.20074708 Text en https://creativecommons.org/publicdomain/zero/1.0/This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license (https://creativecommons.org/publicdomain/zero/1.0/) . |
spellingShingle | Article Liu, Yukun Qin, Jing Fan, Yan Zhou, Yong Follmann, Dean A. Huang, Chiung-Yu Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province |
title | Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province |
title_full | Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province |
title_fullStr | Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province |
title_full_unstemmed | Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province |
title_short | Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province |
title_sort | infection density and epidemic size of covid-19 in china outside the hubei province |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239081/ https://www.ncbi.nlm.nih.gov/pubmed/32511453 http://dx.doi.org/10.1101/2020.04.23.20074708 |
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