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Analysis of COVID-19 Transmission Sources in France by Self-Assessment Before and After the Partial Lockdown: Observational Study

Authors :
Denis, Fabrice
Septans, Anne-Lise
Le Goff, Florian
Jeanneau, Stephan
Lescure, François-Xavier
Source :
Journal of Medical Internet Research, Vol 23, Iss 5, p e26932 (2021)
Publication Year :
2021
Publisher :
JMIR Publications, 2021.

Abstract

BackgroundWe developed a questionnaire on a web application for analyzing COVID-19 contamination circumstances in France during the second wave of the pandemic. ObjectiveThis study aims to analyze the impact on contamination characteristics before and after the second partial lockdown in France to adapt public health restrictions to further prevent pandemic surges. MethodsBetween December 15 and 24, 2020, after a national media campaign, users of the sourcecovid.fr web application were asked questions about their own or a close relative’s COVID-19 contamination after August 15, 2020, in France. The data of the contamination’s circumstances were assessed and compared before and after the second partial lockdown, which occurred on October 25, 2020, during the second wave of the pandemic and was ongoing on December 24, 2020. ResultsAs of December 24, 2020, 441,000 connections on the web application were observed. A total of 2218 questionnaires were assessable for analysis. About 61.8% (n=1309) of the participants were sure of their contamination origin, and 38.2% (n=809) thought they knew it. The median age of users was 43.0 (IQR 32-56) years, and 50.7% (n=1073) were male. The median incubation time of the assessed cohort was 4.0 (IQR 3-5) days. Private areas (family’s or friend’s house) were the main source of contamination (1048/2090, 50.2%), followed by work colleagues (579/2090, 27.7%). The main time of day for the contamination was the evening (339/961, 35.3%) before the lockdown and was reduced to 18.2% (86/473) after the lockdown (P

Details

Language :
English
ISSN :
14388871
Volume :
23
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Journal of Medical Internet Research
Publication Type :
Academic Journal
Accession number :
edsdoj.9cc89f35c097466babf249083f2711b7
Document Type :
article
Full Text :
https://doi.org/10.2196/26932