{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["6(10)"],"submitter":["Abad-Franch F"],"pubmed_abstract":["<h4>Background</h4>Arboviral diseases are major global public health threats. Yet, our understanding of infection risk factors is, with a few exceptions, considerably limited. A crucial shortcoming is the widespread use of analytical methods generally not suited for observational data--particularly null hypothesis-testing (NHT) and step-wise regression (SWR). Using Mayaro virus (MAYV) as a case study, here we compare information theory-based multimodel inference (MMI) with conventional analyses for arboviral infection risk factor assessment.<h4>Methodology/principal findings</h4>A cross-sectional survey of anti-MAYV antibodies revealed 44% prevalence (n = 270 subjects) in a central Amazon rural settlement. NHT suggested that residents of village-like household clusters and those using clos"],"journal":["PLoS neglected tropical diseases"],"pagination":["e1846"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC3469468"],"repository":["biostudies-literature"],"pubmed_title":["Mayaro virus infection in amazonia: a multimodel inference approach to risk factor assessment."],"pmcid":["PMC3469468"],"pubmed_authors":["Figueiredo LT","Luz SL","Braga WS","Grimmer GH","Abad-Franch F","de Paula VS"],"additional_accession":[]},"is_claimable":false,"name":"Mayaro virus infection in amazonia: a multimodel inference approach to risk factor assessment.","description":"<h4>Background</h4>Arboviral diseases are major global public health threats. Yet, our understanding of infection risk factors is, with a few exceptions, considerably limited. A crucial shortcoming is the widespread use of analytical methods generally not suited for observational data--particularly null hypothesis-testing (NHT) and step-wise regression (SWR). Using Mayaro virus (MAYV) as a case study, here we compare information theory-based multimodel inference (MMI) with conventional analyses for arboviral infection risk factor assessment.<h4>Methodology/principal findings</h4>A cross-sectional survey of anti-MAYV antibodies revealed 44% prevalence (n = 270 subjects) in a central Amazon rural settlement. NHT suggested that residents of village-like household clusters and those using clos","dates":{"release":"2012-01-01T00:00:00Z","publication":"2012","modification":"2025-04-19T15:52:10.803Z","creation":"2019-03-27T00:58:59Z"},"accession":"S-EPMC3469468","cross_references":{"pubmed":["23071852"],"doi":["10.1371/journal.pntd.0001846"]}}