<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>45</volume><submitter>Gerardin P</submitter><pubmed_abstract>&lt;h4>Objectives&lt;/h4>The purpose of this cohort study was to develop two scores able to differentiate coronavirus 2019 (COVID-19) from dengue and other febrile illnesses (OFIs).&lt;h4>Methods&lt;/h4>All subjects suspected of COVID-19 who attended the SARS-CoV-2 testing center of Saint-Pierre hospital, Reunion, between March 23 and May 10, 2020, were assessed for identifying predictors of both infectious diseases from a multinomial logistic regression model. Two scores were developed after weighting the odd ratios then validated by bootstrapping.&lt;h4>Results&lt;/h4>Over 49 days, 80 COVID-19, 60 non-severe dengue and 872 OFIs were diagnosed. The translation of the best fit model yielded two scores composed of 11 criteria: contact with a COVID-19 positive case (+3 points for COVID-19; 0 point for dengue)</pubmed_abstract><journal>Travel medicine and infectious disease</journal><pagination>102232</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8656151</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Differentiating COVID-19 and dengue from other febrile illnesses in co-epidemics: Development and internal validation of COVIDENGUE scores.</pubmed_title><pmcid>PMC8656151</pmcid><pubmed_authors>Accot F</pubmed_authors><pubmed_authors>Maillard O</pubmed_authors><pubmed_authors>Andry F</pubmed_authors><pubmed_authors>Legrand F</pubmed_authors><pubmed_authors>Levin C</pubmed_authors><pubmed_authors>Bruneau L</pubmed_authors><pubmed_authors>Bertolotti A</pubmed_authors><pubmed_authors>Manaquin R</pubmed_authors><pubmed_authors>Poubeau P</pubmed_authors><pubmed_authors>Gerardin P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Differentiating COVID-19 and dengue from other febrile illnesses in co-epidemics: Development and internal validation of COVIDENGUE scores.</name><description>&lt;h4>Objectives&lt;/h4>The purpose of this cohort study was to develop two scores able to differentiate coronavirus 2019 (COVID-19) from dengue and other febrile illnesses (OFIs).&lt;h4>Methods&lt;/h4>All subjects suspected of COVID-19 who attended the SARS-CoV-2 testing center of Saint-Pierre hospital, Reunion, between March 23 and May 10, 2020, were assessed for identifying predictors of both infectious diseases from a multinomial logistic regression model. Two scores were developed after weighting the odd ratios then validated by bootstrapping.&lt;h4>Results&lt;/h4>Over 49 days, 80 COVID-19, 60 non-severe dengue and 872 OFIs were diagnosed. The translation of the best fit model yielded two scores composed of 11 criteria: contact with a COVID-19 positive case (+3 points for COVID-19; 0 point for dengue)</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jan-Feb</publication><modification>2025-05-29T21:12:18.927Z</modification><creation>2025-05-29T21:12:18.927Z</creation></dates><accession>S-EPMC8656151</accession><cross_references><pubmed>34896649</pubmed><doi>10.1016/j.tmaid.2021.102232</doi></cross_references></HashMap>