{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["45"],"submitter":["Gerardin P"],"pubmed_abstract":["<h4>Objectives</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).<h4>Methods</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.<h4>Results</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)"],"journal":["Travel medicine and infectious disease"],"pagination":["102232"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8656151"],"repository":["biostudies-literature"],"pubmed_title":["Differentiating COVID-19 and dengue from other febrile illnesses in co-epidemics: Development and internal validation of COVIDENGUE scores."],"pmcid":["PMC8656151"],"pubmed_authors":["Accot F","Maillard O","Andry F","Legrand F","Levin C","Bruneau L","Bertolotti A","Manaquin R","Poubeau P","Gerardin P"],"additional_accession":[]},"is_claimable":false,"name":"Differentiating COVID-19 and dengue from other febrile illnesses in co-epidemics: Development and internal validation of COVIDENGUE scores.","description":"<h4>Objectives</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).<h4>Methods</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.<h4>Results</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)","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jan-Feb","modification":"2025-05-29T21:12:18.927Z","creation":"2025-05-29T21:12:18.927Z"},"accession":"S-EPMC8656151","cross_references":{"pubmed":["34896649"],"doi":["10.1016/j.tmaid.2021.102232"]}}