Evidence map›Paper›PMID 37199483›Full record

Observational studyJournal of global health2023

Case clustering, contact stratification, and transmission heterogeneity of SARS-CoV-2 Omicron BA.5 variants in Urumqi, China: An observational study.

Yaoqin Lu, Zihao Guo, Ting Zeng, Shengzhi Sun, Yanmei Lu, Zhidong Teng, Maozai Tian, Jun Wang, Shulin Li, Xucheng Fan and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 1 country.

Yaoqin Lu *School of Public Health, Xinjiang Medical University, Urumqi, China.
Zihao Guo *JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Ting Zeng *School of Public Health, Xinjiang Medical University, Urumqi, China.
Shengzhi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Yanmei LuDepartment of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Zhidong TengDepartment of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
Maozai TianDepartment of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
Jun WangUrumqi Center for Disease Control and Prevention, Urumqi, China.
Shulin LiUrumqi Center for Disease Control and Prevention, Urumqi, China.
Xucheng FanUrumqi Center for Disease Control and Prevention, Urumqi, China.
Zemin LuanSchool of Public Health, Xinjiang Medical University, Urumqi, China.
Weiming WangSchool of Mathematics and Statistics, Huaiyin Normal University, Huaian, China.
Yongli CaiSchool of Mathematics and Statistics, Huaiyin Normal University, Huaian, China.
Kai WangDepartment of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
Shi ZhaoCentre for Health Systems and Policy Research, Chinese University of Hong Kong, Hong Kong, China.
Xinjiang Medical University · CNXinjiang Uygur Autonomous Region Disease Prevention and Control Center · CNChinese University of Hong Kong · CNHuaiyin Normal University · CNCapital Medical University · CNFirst Affiliated Hospital of Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19ChinaCommunicable Disease ControlFemaleHumansRetrospective StudiesSARS-CoV-2

Identifiers

PMID37199483
PMCPMC10193892
OpenAlexW4377012090

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.