Estimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models

Abstract The SARS-CoV2 has now spread worldwide causing over four million deaths. Testing strategies are highly variable between countries and their impact on mortality is a major issue. Retrospective multicenter study with a prospective database on all inpatients throughout mainland France. Using f...

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Autores principales:	Anthony Terriau, Julien Albertini, Emmanuel Montassier, Arthur Poirier, Quentin Le Bastard
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3fddffef69be4fddb9c9ac70e28be37c
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spelling	oai:doaj.org-article:3fddffef69be4fddb9c9ac70e28be37c2021-11-08T10:48:40ZEstimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models10.1038/s41598-021-01034-72045-2322https://doaj.org/article/3fddffef69be4fddb9c9ac70e28be37c2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01034-7https://doaj.org/toc/2045-2322Abstract The SARS-CoV2 has now spread worldwide causing over four million deaths. Testing strategies are highly variable between countries and their impact on mortality is a major issue. Retrospective multicenter study with a prospective database on all inpatients throughout mainland France. Using fixed effects models, we exploit policy discontinuities at region borders in France to estimate the effect of testing on the case fatality rate. In France, testing policies are determined at a regional level, generating exogenous variation in testing rates between departments on each side of a region border. We compared all contiguous department pairs located on the opposite sides of a region border. The increase of one percentage point in the test rate is associated with a decrease of 0.0015 percentage point in the death rate, that is, for each additional 2000 tests, we could observe three fewer deaths. Our study suggests that COVID-19 population testing could have a significant impact on the mortality rate which should be considered in decision-making. As concern grows over the current second wave of COVID-19, our findings support the implementation of large-scale screening strategies in such epidemic contexts.Anthony TerriauJulien AlbertiniEmmanuel MontassierArthur PoirierQuentin Le BastardNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Anthony Terriau Julien Albertini Emmanuel Montassier Arthur Poirier Quentin Le Bastard Estimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models
description	Abstract The SARS-CoV2 has now spread worldwide causing over four million deaths. Testing strategies are highly variable between countries and their impact on mortality is a major issue. Retrospective multicenter study with a prospective database on all inpatients throughout mainland France. Using fixed effects models, we exploit policy discontinuities at region borders in France to estimate the effect of testing on the case fatality rate. In France, testing policies are determined at a regional level, generating exogenous variation in testing rates between departments on each side of a region border. We compared all contiguous department pairs located on the opposite sides of a region border. The increase of one percentage point in the test rate is associated with a decrease of 0.0015 percentage point in the death rate, that is, for each additional 2000 tests, we could observe three fewer deaths. Our study suggests that COVID-19 population testing could have a significant impact on the mortality rate which should be considered in decision-making. As concern grows over the current second wave of COVID-19, our findings support the implementation of large-scale screening strategies in such epidemic contexts.
format	article
author	Anthony Terriau Julien Albertini Emmanuel Montassier Arthur Poirier Quentin Le Bastard
author_facet	Anthony Terriau Julien Albertini Emmanuel Montassier Arthur Poirier Quentin Le Bastard
author_sort	Anthony Terriau
title	Estimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models
title_short	Estimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models
title_full	Estimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models
title_fullStr	Estimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models
title_full_unstemmed	Estimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models
title_sort	estimating the impact of virus testing strategies on the covid-19 case fatality rate using fixed-effects models
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3fddffef69be4fddb9c9ac70e28be37c
work_keys_str_mv	AT anthonyterriau estimatingtheimpactofvirustestingstrategiesonthecovid19casefatalityrateusingfixedeffectsmodels AT julienalbertini estimatingtheimpactofvirustestingstrategiesonthecovid19casefatalityrateusingfixedeffectsmodels AT emmanuelmontassier estimatingtheimpactofvirustestingstrategiesonthecovid19casefatalityrateusingfixedeffectsmodels AT arthurpoirier estimatingtheimpactofvirustestingstrategiesonthecovid19casefatalityrateusingfixedeffectsmodels AT quentinlebastard estimatingtheimpactofvirustestingstrategiesonthecovid19casefatalityrateusingfixedeffectsmodels
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Estimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models

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