Evidence map›Paper›PMID 32562601›Full record

ArticleThe Lancet. Infectious diseases2020

Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study.

Qin-Long Jing, Ming-Jin Liu, Zhou-Bin Zhang, Li-Qun Fang, Jun Yuan, An-Ran Zhang, Natalie E Dean, Lei Luo, Meng-Meng Ma, Ira Longini and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04878328 (Leveraging Community Health Workers to Improve COVID-19 Testing and Mitigation Among Criminal Justice-involved Individuals Accessing a Corrections-focused Community-based Organization), which is not on this map. Cited by 300 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
300citing papers in PubMed, 14 pooled it
–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

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.

NCT04878328 nacompletednot on this mapstarted 2022, after this paper: background citation

Leveraging Community Health Workers to Improve COVID-19 Testing and Mitigation Among Criminal Justice-involved Individuals Accessing a Corrections-focused Community-based Organization

TypeinterventionalSponsorMontefiore Medical CenterRan2022 to 2025Enrolled250ConditionsCovid19ArmsOnsite Point-of-care
3 · Its place in the literature

Who cites it

300 citing papers in PubMed, 14 syntheses or guidelines pooled it.

  1. Pooled it
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  3. The role of children in transmission of SARS-CoV-2 variants of concern within households: an updated systematic review and meta-analysis, as at 30 June 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Pooled it
  4. The role of children in household transmission of COVID-19: a systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Pooled it
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  8. What you need to know about children's COVID-19: a systematic review.Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021
    Pooled it
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  10. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Setting-specific Transmission Rates: A Systematic Review and Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Pooled it
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  15. Article
  16. Impact of Smoking on Household SARS-CoV-2 Transmission.Healthcare (Basel, Switzerland) · 2026
    Article
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240 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Qin-Long JingGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Ming-Jin LiuDepartment of Biostatistics, College of Public Health and Health Professions, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Zhou-Bin ZhangGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Li-Qun FangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Jun YuanGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
An-Ran ZhangDepartment of Biostatistics, College of Public Health and Health Professions, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Natalie E DeanDepartment of Biostatistics, College of Public Health and Health Professions, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Lei LuoGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Meng-Meng MaGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Ira LonginiDepartment of Biostatistics, College of Public Health and Health Professions, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Eben KenahDivision of Biostatistics, College of Public Health, Ohio State University, Columbus, OH, USA.
Ying LuGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Yu MaGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Neda JalaliDepartment of Biostatistics, College of Public Health and Health Professions, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Zhi-Cong YangGuangzhou Center for Disease Control and Prevention, Guangzhou, China. Electronic address: yangzc@gzcdc.org.cn.
Yang YangDepartment of Biostatistics, College of Public Health and Health Professions, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA. Electronic address: yangyang@ufl.edu.

Funding

Methods for Evaluating Vaccine EfficacyR37AI032042 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH · 2010 to 2019
$5.1M
Design and Analysis of Vaccine Trials for Emerging Infectious Disease ThreatsR01AI139761 · NIAID · UNIVERSITY OF FLORIDA · PI DEAN, NATALIE EXNER · 2018 to 2022
$3.6M
Regression, Phylogenetics, and Study Design in Infectious Disease EpidemiologyR01AI116770 · NIAID · UNIVERSITY OF FLORIDA · PI KENAH, EBEN · 2016 to 2020
$1.8M
NIAID NIH HHS R01 AI116770NIAID NIH HHS R01 AI139761NIAID NIH HHS R37 AI032042
6 · The paper itself

Abstract

backgroundAs of June 8, 2020, the global reported number of COVID-19 cases had reached more than 7 million with over 400 000 deaths. The household transmissibility of the causative pathogen, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), remains unclear. We aimed to estimate the secondary attack rate of SARS-CoV-2 among household and non-household close contacts in Guangzhou, China, using a statistical transmission model.

methodsIn this retrospective cohort study, we used a comprehensive contact tracing dataset from the Guangzhou Center for Disease Control and Prevention to estimate the secondary attack rate of COVID-19 (defined as the probability that an infected individual will transmit the disease to a susceptible individual) among household and non-household contacts, using a statistical transmission model. We considered two alternative definitions of household contacts in the analysis: individuals who were either family members or close relatives, such as parents and parents-in-law, regardless of residential address, and individuals living at the same address regardless of relationship. We assessed the demographic determinants of transmissibility and the infectivity of COVID-19 cases during their incubation period.

findingsBetween Jan 7, 2020, and Feb 18, 2020, we traced 195 unrelated close contact groups (215 primary cases, 134 secondary or tertiary cases, and 1964 uninfected close contacts). By identifying households from these groups, assuming a mean incubation period of 5 days, a maximum infectious period of 13 days, and no case isolation, the estimated secondary attack rate among household contacts was 12·4% (95% CI 9·8-15·4) when household contacts were defined on the basis of close relatives and 17·1% (13·3-21·8) when household contacts were defined on the basis of residential address. Compared with the oldest age group (≥60 years), the risk of household infection was lower in the youngest age group (<20 years; odds ratio [OR] 0·23 [95% CI 0·11-0·46]) and among adults aged 20-59 years (OR 0·64 [95% CI 0·43-0·97]). Our results suggest greater infectivity during the incubation period than during the symptomatic period, although differences were not statistically significant (OR 0·61 [95% CI 0·27-1·38]). The estimated local reproductive number (R) based on observed contact frequencies of primary cases was 0·5 (95% CI 0·41-0·62) in Guangzhou. The projected local R, had there been no isolation of cases or quarantine of their contacts, was 0·6 (95% CI 0·49-0·74) when household was defined on the basis of close relatives.

interpretationSARS-CoV-2 is more transmissible in households than SARS-CoV and Middle East respiratory syndrome coronavirus. Older individuals (aged ≥60 years) are the most susceptible to household transmission of SARS-CoV-2. In addition to case finding and isolation, timely tracing and quarantine of close contacts should be implemented to prevent onward transmission during the viral incubation period.

fundingUS National Institutes of Health, Science and Technology Plan Project of Guangzhou, Project for Key Medicine Discipline Construction of Guangzhou Municipality, Key Research and Development Program of China.

Indexed as

Contact TracingFamily CharacteristicsAdultAsymptomatic InfectionsBasic Reproduction NumberBetacoronavirusChinaCoronavirus InfectionsCOVID-19FemaleHumansIncidenceMaleMiddle AgedModels, TheoreticalPandemics

Identifiers

PMID32562601
PMCPMC7529929

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