<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>18(2)</volume><submitter>Baunez C</submitter><pubmed_abstract>We provide a novel way to correct the effective reproduction number for the time-varying amount of tests, using the acceleration index (Baunez et al., 2021) as a simple measure of viral spread dynamics. Not correcting results in the reproduction number being a biased estimate of viral acceleration and we provide a formal decomposition of the resulting bias, involving the useful notions of test and infectivity intensities. When applied to French data for the COVID-19 pandemic (May 13, 2020-October 26, 2022), our decomposition shows that the reproduction number, when considered alone, characteristically underestimates the resurgence of the pandemic, compared to the acceleration index which accounts for the time-varying volume of tests. Because the acceleration index aggregates all relevant i</pubmed_abstract><journal>PloS one</journal><pagination>e0281943</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9970098</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Correcting the reproduction number for time-varying tests: A proposal and an application to COVID-19 in France.</pubmed_title><pmcid>PMC9970098</pmcid><pubmed_authors>Pintus ML</pubmed_authors><pubmed_authors>Pintus PA</pubmed_authors><pubmed_authors>Degoulet M</pubmed_authors><pubmed_authors>Teschl M</pubmed_authors><pubmed_authors>Baunez C</pubmed_authors><pubmed_authors>Luchini S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Correcting the reproduction number for time-varying tests: A proposal and an application to COVID-19 in France.</name><description>We provide a novel way to correct the effective reproduction number for the time-varying amount of tests, using the acceleration index (Baunez et al., 2021) as a simple measure of viral spread dynamics. Not correcting results in the reproduction number being a biased estimate of viral acceleration and we provide a formal decomposition of the resulting bias, involving the useful notions of test and infectivity intensities. When applied to French data for the COVID-19 pandemic (May 13, 2020-October 26, 2022), our decomposition shows that the reproduction number, when considered alone, characteristically underestimates the resurgence of the pandemic, compared to the acceleration index which accounts for the time-varying volume of tests. Because the acceleration index aggregates all relevant i</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-18T14:21:20.93Z</modification><creation>2025-04-07T00:29:32.324Z</creation></dates><accession>S-EPMC9970098</accession><cross_references><pubmed>36848355</pubmed><doi>10.1371/journal.pone.0281943</doi></cross_references></HashMap>