Your browser doesn't support javascript.
loading
Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China
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.
Afiliação
  • Shixiong Hu; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Wei Wang; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Yan Wang; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Maria Litvinova; ISI Foundation, Turin, Italy
  • Kaiwei Luo; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Lingshuang Ren; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Qianlai Sun; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Xinghui Chen; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Ge Zeng; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Jing Li; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Lu Liang; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
  • Zhihong Deng; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Wen Zheng; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Mei Li; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Hao Yang; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Jinxin Guo; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Kai Wang; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Xinhua Chen; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Ziyan Liu; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Han Yan; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Huilin Shi; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Zhiyuan Chen; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Yonghong Zhou; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Kaiyuan Sun; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
  • Alessandro Vespignani; ISI Foundation, Turin, Italy; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Cécile Viboud; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
  • Lidong Gao; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Marco Ajelli; Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
  • Hongjie Yu; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20160317
Artigo de periódico
Um artigo publicado em periódico científico está disponível e provavelmente é baseado neste preprint, por meio do reconhecimento de similaridade realizado por uma máquina. A confirmação humana ainda está pendente.
Ver artigo de periódico
ABSTRACT
BackgroundSeveral parameters driving the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remain unclear, including age-specific differences in infectivity and susceptibility, and the contribution of inapparent infections to transmission. Robust estimates of key time-to-event distributions remain scarce as well. MethodsWe collected individual records for 1,178 SARS-CoV-2 infected individuals and their 15,648 contacts identified by contact tracing and monitoring over the period from January 13 to April 02, 2020 in Hunan Province, China. We provide descriptive statistics of the characteristics of cases and their close contacts; we fitted distributions to time-to-key-events distributions and infectiousness profile over time; and we used generalized linear mixed model to estimate risk factors for susceptibility and transmissibility of SARS-CoV-2. ResultsWe estimated the mean serial interval at 5.5 days (95%CI -5.0, 19.9) and the mean generation time at 5.5 days (95%CI 1.7, 11.6). The infectiousness was estimated to peak 1.8 days before symptom onset, with 95% of transmission events occurring between 7.6 days before and 7.3 days after the date of symptom onset. The proportion of pre-symptomatic transmission was estimated to be 62.5%. We estimated that at least 3.5% of cases were generated asymptomatic individuals. SARS-CoV-2 transmissibility was not significantly different between working-age adults (15-59 years old) and other age groups (0-14 years old p-value=0.16; 60 years and over p-value=0.33), whilst susceptibility to SARS-CoV-2 infection was estimated to increase with age (p-value=0.03). In addition, transmission risk was higher for household contacts (p-value<0.001), decreased for higher generations within a cluster (second generation odds ratio=0.13, p-value<0.001; generations 3-4 odds ratio=0.05, p-value<0.001, relative to generation 1), and decreased for infectors with a larger number of contacts (p-value=0.04). InterpretationOur findings warn of the possible relevant contribution of children to SARS-CoV-2 transmission. When lockdown interventions are in place, we found that odds of transmission are highest in the household setting but, with the relaxation of interventions, other settings (including schools) could bear a higher risk of transmission. Moreover, the estimated relevant fraction of pre-symptomatic and asymptomatic transmission highlight the importance of large-scale testing, contact tracing activities, and the use of personnel protective equipment during the COVID-19 pandemic.
Licença
cc_no
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
...