Dataset Information

Household transmissions of SARS-CoV-2 in the time of unprecedented travel lockdown in China.

ABSTRACT:

Question

What are the characteristics of household and social transmissions of COVID-19 areas outside of epidemic centers?

Findings

Based on 1,407 COVID-19 reported infection events in China outside of Hubei Province between 20 January and 19 February 2020, we estimate the distribution of secondary infection sizes, frequency of super spreading events, serial intervals and age-stratified hazard of infection. Young and older people have higher risks of being infected with households while males 65+ of age are responsible for a disproportionate number of household infections. Meaning: This report is the first large-scale analysis of the household and social transmission events in the COVID-19 pandemic.

SUBMITTER: Xu X

PROVIDER: S-EPMC7276042 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Publications

Household transmissions of SARS-CoV-2 in the time of unprecedented travel lockdown in China.

Xu Xiao-Ke XK Liu Xiao-Fan XF Wang Lin L Ali Sheikh Taslim ST Du Zhanwei Z Bosetti Paolo P Cowling Benjamin J BJ Wu Ye Y

medRxiv : the preprint server for health sciences 20200330

<h4>Importance</h4>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in the city of Wuhan, China, in December 2019 and then spread globally. Limited information is available for characterizing epidemiological features and transmission patterns in the regions outside of Hubei Province. Detailed data on transmission at the individual level could be an asset to understand the transmission mechanisms and respective patterns in different settings.<h4>Objective</h4>To reconstruct in ...[more]

PMID: 32511615

Similar Datasets

Project description:Background: "Lockdowns" to control serious respiratory virus pandemics were widely used during the coronavirus disease 2019 (COVID-19) pandemic. However, there is limited information to understand the settings in which most transmission occurs during lockdowns, to support refinement of similar policies for future pandemics. Methods: Among Virus Watch household cohort participants we identified those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outside the household. Using survey activity data, we undertook multivariable logistic regressions assessing the contribution of activities on non-household infection risk. We calculated adjusted population attributable fractions (APAF) to estimate which activity accounted for the greatest proportion of non-household infections during the pandemic's second wave. Results: Among 10,858 adults, 18% of cases were likely due to household transmission. Among 10,475 participants (household-acquired cases excluded), including 874 non-household-acquired infections, infection was associated with: leaving home for work or education (AOR 1.20 (1.02 - 1.42), APAF 6.9%); public transport (more than once per week AOR 1.82 (1.49 - 2.23), public transport APAF 12.42%); and shopping (more than once per week AOR 1.69 (1.29 - 2.21), shopping APAF 34.56%). Other non-household activities were rare and not significantly associated with infection. Conclusions: During lockdown, going to work and using public or shared transport independently increased infection risk, however only a minority did these activities. Most participants visited shops, accounting for one-third of non-household transmission. Transmission in restricted hospitality and leisure settings was minimal suggesting these restrictions were effective. If future respiratory infection pandemics emerge these findings highlight the value of working from home, using forms of transport that minimise exposure to others, minimising exposure to shops and restricting non-essential activities.

Dataset Information

Household transmissions of SARS-CoV-2 in the time of unprecedented travel lockdown in China.

Question

Findings

Publications

Household transmissions of SARS-CoV-2 in the time of unprecedented travel lockdown in China.

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