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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Sep 14, 2020
Date Accepted: Nov 27, 2020
Date Submitted to PubMed: Dec 14, 2020

The final, peer-reviewed published version of this preprint can be found here:

Jobs, Housing, and Mask Wearing: Cross-Sectional Study of Risk Factors for COVID-19

Jobs, Housing, and Mask Wearing: Cross-Sectional Study of Risk Factors for COVID-19

JMIR Public Health Surveill 2021;7(1):e24320

DOI: 10.2196/24320

PMID: 33315576

PMCID: 7800904

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Risk Factors for COVID-19: Community Exposure and Mask-Wearing

ABSTRACT

Background:

Many studies have focused on characteristics of symptomatic COVID-19 patients and clinical risk factors. This study reports prevalence of COVID-19 in the general population and identifies factors that affect exposure to the virus.

Objective:

To measure the prevalence of COVID-19 in a hospital service area and identify factors that may increase or decrease the risk of infection and exposure.

Methods:

This study collected survey information relating to work and living situations, income, behavior, socio-demographic characteristics and pre-pandemic health characteristics which was linked to polymerase chain reaction (PCR) testing and two different serologic assays. Positivity rate was used to calculate approximate prevalence, hospitalization rate and infection fatality rate (IFR). Survey data was used to analyze risk factors, including the number of contacts reported by study participants.

Results:

We found a positivity rate of 2.2 percent, a hospitalization rate of 1.2 percent and an adjusted IFR of 0.55 percent. Number of daily contacts with adults and seniors increases the probability of becoming infected. Occupation, living in apartment versus a house, and wearing a facial mask outside work increased probability of COVID-19 infection.

Conclusions:

Comparing these numbers with officially reported infections leads to estimates of unreported cases. Occupational, living-situation, and behavioral data may aid in the identification of non-clinical factors affecting SARS-CoV-2 exposure and infection.


 Citation

Please cite as:

Jobs, Housing, and Mask Wearing: Cross-Sectional Study of Risk Factors for COVID-19

JMIR Public Health Surveill 2021;7(1):e24320

DOI: 10.2196/24320

PMID: 33315576

PMCID: 7800904

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