Evidence map›Paper›PMID 36609217›Full record

ArticleBMC infectious diseases2023

Effects of contact tracing and nucleic acid testing on the COVID-19 outbreak in Zunyi, China: data-driven study using a branching process model.

Jun Feng, Wenlong Zhu, Xingui Ye, Zhixi Liu, Yue Zhu, Qinyi Wu, Guanghong Yang, Weibing Wang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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. Article
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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

8 authors.

Jun Feng *Guizhou Provincial Center for Disease Control and Prevention, 73 Ba Ge Yan Road, Guiyang, 550000, China.
Wenlong Zhu *School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
Xingui YeGuizhou Provincial Center for Disease Control and Prevention, 73 Ba Ge Yan Road, Guiyang, 550000, China.
Zhixi LiuSchool of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
Yue ZhuSchool of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
Qinyi WuGuizhou Provincial Center for Disease Control and Prevention, 73 Ba Ge Yan Road, Guiyang, 550000, China.
Guanghong YangGuizhou Provincial Center for Disease Control and Prevention, 73 Ba Ge Yan Road, Guiyang, 550000, China. ghyang_gzmu@outlook.com.
Weibing WangSchool of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China. wwb@fudan.edu.cn.

Funding

Bill & Melinda Gates Foundation INV-006277Guizhou science and technology planning project QKHZC [2020] No. 4Y168National Natural Science Foundation of China 82073612Shanghai Municipal Health Commission GWV-10.1-XK16
6 · The paper itself

Abstract

backgroundDuring October 2021, China experienced localized outbreaks of COVID-19 in many cities. We analyzed the small local outbreak in Zunyi (Guizhou Province), a major city in southwestern China, and modeled the effects of different interventions on this outbreak.

methodsData on infections and contacts, provided by the Health Commission of Guizhou Province, were used to analyze the epidemiological characteristics of the outbreak and calculate the effectiveness of vaccination. A branching process model was used to simulate the outbreak. This model considered the time interval from exposure of the initial case to confirmation, the number of potential infections caused by the initial case, and the effects of the different interventions.

resultsFrom 18 to 25 October 2021, there were 12 patients with COVID-19 in Zunyi. Overall, the average age was 67.17 years-old, 8 patients were females, and 1 patient had an asymptomatic infection. The effectiveness of two-dose inactivated vaccine against SARS-CoV-2 infection was 16.7% (95% CI: 2.8% to 99.7%). The initial case was infected on 11 or 12 October 2021, 6.40 (95% CI: 6.37, 6.42; IQR: 4.92, 7.63) days before confirmation while the travelling in Lanzhou (Gansu Province). There were 10.07 (95% CI: 10.04, 10.09; IQR: 7.86, 11.93) potential secondary cases. When the effective vaccine coverage reached 60%, the probability of cumulative cases exceeding 20 was less than 8.77%, even if contact tracing was relaxed or eliminated. However, if the probability of tracing contacts decreased, earlier initiation of nucleic acid testing was necessary to control the outbreak.

conclusionsThe COVID-19 outbreak in Zunyi was controlled quickly due to moderately effective vaccine coverage and rapid contact tracing. For controlling localized outbreaks, vaccination and contact tracing seemed to be more effective than massive nucleic acid testing in the initial phase of transmission. However, if there is low effective vaccine coverage or insufficient contact tracing, nucleic acid testing should start earlier.

Indexed as

COVID-19Nucleic AcidsVaccinesAgedChinaContact TracingCOVID-19 VaccinesDisease OutbreaksFemaleHumansMaleSARS-CoV-2COVID-19 VaccinesNucleic AcidsVaccinesBranching process modelCOVID-19Non-pharmaceutical intervention (NPI)OutbreakVaccine

Identifiers

PMID36609217
PMCPMC9821355

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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.