Timing the SARS-CoV-2 index case in Hubei province

被引:105
作者
Pekar, Jonathan [1 ,2 ]
Worobey, Michael [3 ]
Moshiri, Niema [4 ]
Scheffler, Konrad [5 ]
Wertheim, Joel O. [6 ]
机构
[1] Univ Calif San Diego, Bioinformat & Syst Biol Grad Program, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Biomed Informat, La Jolla, CA 92093 USA
[3] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA
[4] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA
[5] Illumina Inc, San Diego, CA 92122 USA
[6] Univ Calif San Diego, Dept Med, La Jolla, CA 92093 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
TRANSMISSION; HIV-1;
D O I
10.1126/science.abf8003
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Understanding when severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged is critical to evaluating our current approach to monitoring novel zoonotic pathogens and understanding the failure of early containment and mitigation efforts for COVID-19. We used a coalescent framework to combine retrospective molecular clock inference with forward epidemiological simulations to determine how long SARS-CoV-2 could have circulated before the time of the most recent common ancestor of all sequenced SARS-CoV-2 genomes. Our results define the period between mid-October and mid-November 2019 as the plausible interval when the first case of SARS-CoV-2 emerged in Hubei province, China. By characterizing the likely dynamics of the virus before it was discovered, we show that more than two-thirds of SARS-CoV-2-like zoonotic events would be self-limited, dying out without igniting a pandemic. Our findings highlight the shortcomings of zoonosis surveillance approaches for detecting highly contagious pathogens with moderate mortality rates.
引用
收藏
页码:412 / +
页数:48
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