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SARS-CoV-2 infection: Advocacy for training and social distancing in healthcare settings.

ABSTRACT: We report the observed SARS-Cov-2 infection rate in healthcare workers (HCWs) according to the ward dedicated or not to care of COVID-19 patients. This rate was significantly higher among HCWs working in units not dedicated to COVID-19 patients (OR=2.3, P=0.005), illustrating the need for strengthening social distancing measures and training.

SUBMITTER: Gagneux-Brunon A

PROVIDER: S-EPMC7414384 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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SARS-CoV-2 infection: advocacy for training and social distancing in healthcare settings.

Gagneux-Brunon A A Pelissier C C Gagnaire J J Pillet S S Pozzetto B B Botelho-Nevers E E Berthelot P P

The Journal of hospital infection 20200808 3

This article reports the observed rate of infection with severe acute respiratory syndrome coronavirus-2 in healthcare workers (HCWs) who worked on wards dedicated to care of patients with coronavirus disease 2019 (COVID-19) compared with HCWs who worked on non-COVID-19 wards. The infection rate was significantly higher among HCWs who worked on non-COVID-19 wards (odds ratio 2.3, P=0.005), illustrating the need to strengthen social distancing measures and training. ...[more]

PMID: 32781200

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Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a viral pathogen that quickly became a global pandemic in the winter of 2020-2021. In response, governments issued social distancing orders to minimize transmission by reducing community contacts. We tested the efficacy of this social distancing at the state level during the first 2 months of the pandemic in the United States. We utilized data on daily SARS-CoV-2 case numbers and human community mobility (anonymized, aggregated cell phone location data stratified into six categories used as an index of social distancing), the date of government-issued social distancing orders, demographics, urbanization and public transportation. We implemented cross-correlation to identify lag times between declines in mobility and SARS-CoV-2 cases. Incorporating state-specific lag times, we tested for associations between case counts and mobility metrics using Bayesian multilevel models. Decreased mobility around grocery stores/pharmacies, retail/recreation locations, transit stations and workplaces was correlated with decreases in SARS-CoV-2 cases with significant lag times of ≥21 days. Social distancing orders were associated with fewer cumulative SARS-CoV-2 cases when they were put in place earlier. Community mobility had already started declining prior to most social distancing orders, especially the more restrictive orders implemented later in the pandemic. Social distancing is an important tool that has been implemented throughout the pandemic to decrease SARS-CoV-2 transmission, although with significant social and economic impacts. Our results suggest that declines in cases were observed several weeks subsequent to implementation of social distancing measures, and that implementing social distancing earlier could potentially minimize the duration of time these policies need to be in effect. Our findings can inform ongoing management of this pandemic and other emerging infectious disease outbreaks by identifying areas where reductions in mobility are associated with reduced disease transmission, and the expected time frame between behavioural changes and measurable population outcomes.

Dataset Information

SARS-CoV-2 infection: Advocacy for training and social distancing in healthcare settings.

Publications

SARS-CoV-2 infection: advocacy for training and social distancing in healthcare settings.

Similar Datasets

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