Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study.
Adult
Asymptomatic Infections
/ epidemiology
Basic Reproduction Number
Betacoronavirus
COVID-19
China
/ epidemiology
Contact Tracing
/ statistics & numerical data
Coronavirus Infections
/ epidemiology
Family Characteristics
Female
Humans
Incidence
Male
Middle Aged
Models, Theoretical
Pandemics
/ prevention & control
Pneumonia, Viral
/ epidemiology
Quarantine
Retrospective Studies
Risk Factors
SARS-CoV-2
Young Adult
Journal
The Lancet. Infectious diseases
ISSN: 1474-4457
Titre abrégé: Lancet Infect Dis
Pays: United States
ID NLM: 101130150
Informations de publication
Date de publication:
10 2020
10 2020
Historique:
received:
16
04
2020
revised:
22
05
2020
accepted:
26
05
2020
pubmed:
21
6
2020
medline:
21
10
2020
entrez:
21
6
2020
Statut:
ppublish
Résumé
As 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. In 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. Between 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. SARS-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. US 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.
Sections du résumé
BACKGROUND
As 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.
METHODS
In 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.
FINDINGS
Between 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.
INTERPRETATION
SARS-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.
FUNDING
US 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.
Identifiants
pubmed: 32562601
pii: S1473-3099(20)30471-0
doi: 10.1016/S1473-3099(20)30471-0
pmc: PMC7529929
mid: NIHMS1606620
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1141-1150Subventions
Organisme : NIAID NIH HHS
ID : R01 AI116770
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI139761
Pays : United States
Organisme : NIAID NIH HHS
ID : R37 AI032042
Pays : United States
Commentaires et corrections
Type : UpdateOf
Type : CommentIn
Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
Références
JAMA. 2020 Apr 7;323(13):1239-1242
pubmed: 32091533
Emerg Infect Dis. 2019 Oct;25(10):1802-1809
pubmed: 31423971
Lancet. 2020 Mar 14;395(10227):e47
pubmed: 32113505
Biometrics. 2012 Dec;68(4):1238-49
pubmed: 22506893
Am J Epidemiol. 2007 Aug 1;166(3):355-63
pubmed: 17493952
Lancet Infect Dis. 2020 May;20(5):533-534
pubmed: 32087114
Clin Infect Dis. 2019 Jan 18;68(3):409-418
pubmed: 29905769
Lancet. 2004 May 22;363(9422):1699-700
pubmed: 15158632
N Engl J Med. 2020 Apr 16;382(16):1564-1567
pubmed: 32182409
N Engl J Med. 2020 Mar 26;382(13):1199-1207
pubmed: 31995857
Science. 2020 May 8;368(6491):638-642
pubmed: 32234804
Lancet Infect Dis. 2020 Aug;20(8):911-919
pubmed: 32353347
N Engl J Med. 2014 Aug 28;371(9):828-35
pubmed: 25162889
Nature. 2020 May;581(7809):465-469
pubmed: 32235945
JAMA. 2020 Apr 14;323(14):1406-1407
pubmed: 32083643
Int J Infect Dis. 2014 Dec;29:307-8
pubmed: 25448335
Lancet. 2020 Feb 29;395(10225):689-697
pubmed: 32014114
Emerg Infect Dis. 2020 Jun;26(6):1343-1345
pubmed: 32163030
Ann Intern Med. 2020 May 5;172(9):577-582
pubmed: 32150748
Emerg Infect Dis. 2004 Feb;10(2):235-43
pubmed: 15030689
Nat Med. 2020 May;26(5):672-675
pubmed: 32296168
MMWR Morb Mortal Wkly Rep. 2020 Mar 06;69(9):245-246
pubmed: 32134909
Emerg Infect Dis. 2020 Jun;26(6):1320-1323
pubmed: 32125269
Emerg Infect Dis. 2004 Feb;10(2):232-4
pubmed: 15030688
N Engl J Med. 2020 Mar 5;382(10):970-971
pubmed: 32003551
Clin Transl Med. 2020 Feb 20;9(1):19
pubmed: 32078069
Nat Med. 2020 Apr;26(4):502-505
pubmed: 32284613
Science. 2020 Apr 24;368(6489):395-400
pubmed: 32144116