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Case clustering, contact stratification, and transmission heterogeneity of SARS-CoV-2 Omicron BA.5 variants in Urumqi, China: An observational study.
Lu, Yaoqin; Guo, Zihao; Zeng, Ting; Sun, Shengzhi; Lu, Yanmei; Teng, Zhidong; Tian, Maozai; Wang, Jun; Li, Shulin; Fan, Xucheng; Luan, Zemin; Wang, Weiming; Cai, Yongli; Wang, Kai; Zhao, Shi.
  • Lu Y; School of Public Health, Xinjiang Medical University, Urumqi, China.
  • Guo Z; Urumqi Center for Disease Control and Prevention, Urumqi, China.
  • Zeng T; JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
  • Sun S; School of Public Health, Xinjiang Medical University, Urumqi, China.
  • Lu Y; Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
  • Teng Z; Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
  • Tian M; Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
  • Wang J; Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
  • Li S; Urumqi Center for Disease Control and Prevention, Urumqi, China.
  • Fan X; Urumqi Center for Disease Control and Prevention, Urumqi, China.
  • Luan Z; Urumqi Center for Disease Control and Prevention, Urumqi, China.
  • Wang W; School of Public Health, Xinjiang Medical University, Urumqi, China.
  • Cai Y; School of Mathematics and Statistics, Huaiyin Normal University, Huaian, China.
  • Wang K; School of Mathematics and Statistics, Huaiyin Normal University, Huaian, China.
  • Zhao S; Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
J Glob Health ; 13: 06018, 2023 05 19.
Article in English | MEDLINE | ID: covidwho-2324587
ABSTRACT

Background:

From August to September 2022, Urumqi, the capital of the Xinjiang Uygur Autonomous Region in China, faced its largest COVID-19 outbreak caused by the emergence of the SARS-CoV-2 Omicron BA.5.2 variants. Although the superspreading of COVID-19 played an important role in triggering large-scale outbreaks, little was known about the superspreading potential and heterogeneity in the transmission of Omicron BA.5 variants.

Methods:

In this retrospective observational, contact tracing study, we identified 1139 laboratory-confirmed COVID-19 cases of Omicron BA.5.2 variants, and 51 323 test-negative close contacts in Urumqi from 7 August to 7 September 2022. By using detailed contact tracing information and exposure history of linked case-contact pairs, we described stratification in contact and heterogeneity in transmission across different demographic strata, vaccine statuses, and contact settings. We adopted beta-binomial models to characterise the secondary attack rate (SAR) distribution among close contacts and modelled COVID-19 transmission as a branching process with heterogeneity in transmission governed by negative binomial models.

Results:

After the city lockdown, the mean case cluster size decreased from 2.0 (before lockdown) to 1.6, with decreased proportions of contacts in workplace and community settings compared with household settings. We estimated that 14% of the most infectious index cases generated 80% transmission, whereas transmission in the community setting presented the highest heterogeneity, with 5% index cases seeding 80% transmission. Compared with zero, one, and two doses of inactivated vaccine (Sinopharm), index cases with three doses of vaccine had a lower risk of generating secondary cases in terms of the reproduction number. Contacts of female cases, cases with ages 0-17 years, and household settings had relatively higher SAR.

Conclusions:

In the context of intensive control measures, active case detection, and relatively high vaccine coverage, but with an infection-naive population, our findings suggested high heterogeneity in the contact and transmission risks of Omicron BA.5 variants across different demographic strata, vaccine statuses, and contact settings. Given the rapid evolution of SARS-CoV-2, investigating the distribution of transmission not only helped promote public awareness and preparedness among high-risk groups, but also highlighted the importance of continuously monitoring the transmission characteristics of genetic variants of SARS-CoV-2.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines / Variants Limits: Female / Humans Country/Region as subject: Asia Language: English Journal: J Glob Health Year: 2023 Document Type: Article Affiliation country: Jogh.13.06018

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines / Variants Limits: Female / Humans Country/Region as subject: Asia Language: English Journal: J Glob Health Year: 2023 Document Type: Article Affiliation country: Jogh.13.06018