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The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions.
Liu, Quan-Hui; Bento, Ana I; Yang, Kexin; Zhang, Hang; Yang, Xiaohan; Merler, Stefano; Vespignani, Alessandro; Lv, Jiancheng; Yu, Hongjie; Zhang, Wei; Zhou, Tao; Ajelli, Marco.
  • Liu QH; College of Computer Science, Sichuan University, Chengdu, China.
  • Bento AI; Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, United States of America.
  • Yang K; College of Computer Science, Sichuan University, Chengdu, China.
  • Zhang H; College of Computer Science, Sichuan University, Chengdu, China.
  • Yang X; Department of Engineering and Computer Science, New York University Shanghai, Shanghai, China.
  • Merler S; Institution of New Economic Development, Chengdu, China.
  • Vespignani A; Bruno Kessler Foundation, Trento, Italy.
  • Lv J; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts United States of America.
  • Yu H; ISI Foundation, Turin, Italy.
  • Zhang W; College of Computer Science, Sichuan University, Chengdu, China.
  • Zhou T; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
  • Ajelli M; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
PLoS Comput Biol ; 16(12): e1008467, 2020 12.
Article in English | MEDLINE | ID: covidwho-999796
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ABSTRACT
In January 2020, a COVID-19 outbreak was detected in Sichuan Province of China. Six weeks later, the outbreak was successfully contained. The aim of this work is to characterize the epidemiology of the Sichuan outbreak and estimate the impact of interventions in limiting SARS-CoV-2 transmission. We analyzed patient records for all laboratory-confirmed cases reported in the province for the period of January 21 to March 16, 2020. To estimate the basic and daily reproduction numbers, we used a Bayesian framework. In addition, we estimated the number of cases averted by the implemented control strategies. The outbreak resulted in 539 confirmed cases, lasted less than two months, and no further local transmission was detected after February 27. The median age of local cases was 8 years older than that of imported cases. We estimated R0 at 2.4 (95% CI 1.6-3.7). The epidemic was self-sustained for about 3 weeks before going below the epidemic threshold 3 days after the declaration of a public health emergency by Sichuan authorities. Our findings indicate that, were the control measures be adopted four weeks later, the epidemic could have lasted 49 days longer (95% CI 31-68 days), causing 9,216 more cases (95% CI 1,317-25,545).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disease Outbreaks / COVID-19 Type of study: Experimental Studies / Observational study Limits: Female / Humans / Male Country/Region as subject: Asia Language: English Journal: PLoS Comput Biol Journal subject: Biology / Medical Informatics Year: 2020 Document Type: Article Affiliation country: Journal.pcbi.1008467

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disease Outbreaks / COVID-19 Type of study: Experimental Studies / Observational study Limits: Female / Humans / Male Country/Region as subject: Asia Language: English Journal: PLoS Comput Biol Journal subject: Biology / Medical Informatics Year: 2020 Document Type: Article Affiliation country: Journal.pcbi.1008467