Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China
Detailed knowledge of COVID-19 epidemiology is needed to inform public health responses. Here, the authors use large-scale contact tracing data to provide empirical estimates of key parameters, and show that susceptibility increases with age but transmissibility does not vary significantly.
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Nature Portfolio
2021
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oai:doaj.org-article:7deafbe829204e2fae1fb3b10d5aa7432021-12-02T13:34:29ZInfectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China10.1038/s41467-021-21710-62041-1723https://doaj.org/article/7deafbe829204e2fae1fb3b10d5aa7432021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21710-6https://doaj.org/toc/2041-1723Detailed knowledge of COVID-19 epidemiology is needed to inform public health responses. Here, the authors use large-scale contact tracing data to provide empirical estimates of key parameters, and show that susceptibility increases with age but transmissibility does not vary significantly.Shixiong HuWei WangYan WangMaria LitvinovaKaiwei LuoLingshuang RenQianlai SunXinghui ChenGe ZengJing LiLu LiangZhihong DengWen ZhengMei LiHao YangJinxin GuoKai WangXinhua ChenZiyan LiuHan YanHuilin ShiZhiyuan ChenYonghong ZhouKaiyuan SunAlessandro VespignaniCécile ViboudLidong GaoMarco AjelliHongjie YuNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021) |
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DOAJ |
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EN |
topic |
Science Q |
spellingShingle |
Science Q Shixiong Hu Wei Wang Yan Wang Maria Litvinova Kaiwei Luo Lingshuang Ren Qianlai Sun Xinghui Chen Ge Zeng Jing Li Lu Liang Zhihong Deng Wen Zheng Mei Li Hao Yang Jinxin Guo Kai Wang Xinhua Chen Ziyan Liu Han Yan Huilin Shi Zhiyuan Chen Yonghong Zhou Kaiyuan Sun Alessandro Vespignani Cécile Viboud Lidong Gao Marco Ajelli Hongjie Yu Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China |
description |
Detailed knowledge of COVID-19 epidemiology is needed to inform public health responses. Here, the authors use large-scale contact tracing data to provide empirical estimates of key parameters, and show that susceptibility increases with age but transmissibility does not vary significantly. |
format |
article |
author |
Shixiong Hu Wei Wang Yan Wang Maria Litvinova Kaiwei Luo Lingshuang Ren Qianlai Sun Xinghui Chen Ge Zeng Jing Li Lu Liang Zhihong Deng Wen Zheng Mei Li Hao Yang Jinxin Guo Kai Wang Xinhua Chen Ziyan Liu Han Yan Huilin Shi Zhiyuan Chen Yonghong Zhou Kaiyuan Sun Alessandro Vespignani Cécile Viboud Lidong Gao Marco Ajelli Hongjie Yu |
author_facet |
Shixiong Hu Wei Wang Yan Wang Maria Litvinova Kaiwei Luo Lingshuang Ren Qianlai Sun Xinghui Chen Ge Zeng Jing Li Lu Liang Zhihong Deng Wen Zheng Mei Li Hao Yang Jinxin Guo Kai Wang Xinhua Chen Ziyan Liu Han Yan Huilin Shi Zhiyuan Chen Yonghong Zhou Kaiyuan Sun Alessandro Vespignani Cécile Viboud Lidong Gao Marco Ajelli Hongjie Yu |
author_sort |
Shixiong Hu |
title |
Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China |
title_short |
Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China |
title_full |
Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China |
title_fullStr |
Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China |
title_full_unstemmed |
Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China |
title_sort |
infectivity, susceptibility, and risk factors associated with sars-cov-2 transmission under intensive contact tracing in hunan, china |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/7deafbe829204e2fae1fb3b10d5aa743 |
work_keys_str_mv |
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