{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Uelmen JA"],"funding":["Centers for Disease Control and Prevention","NCEZID CDC HHS"],"pagination":["e0251517"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8133451"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["16(5)"],"pubmed_abstract":["<h4>Background</h4>Since 1999, West Nile virus (WNV) has moved rapidly across the United States, resulting in tens of thousands of human cases. Both the number of human cases and the minimum infection rate (MIR) in vector mosquitoes vary across time and space and are driven by numerous abiotic and biotic forces, ranging from differences in microclimates to socio-demographic factors. Because the interactions among these multiple factors affect the locally variable risk of WNV illness, it has been especially difficult to model human disease risk across varying spatial and temporal scales. Cook and DuPage Counties, comprising the city of Chicago and surrounding suburbs, experience some of the highest numbers of human neuroinvasive cases of WNV in the United States. Despite active mosquito con"],"journal":["PloS one"],"pubmed_title":["Dynamics of data availability in disease modeling: An example evaluating the trade-offs of ultra-fine-scale factors applied to human West Nile virus disease models in the Chicago area, USA."],"pmcid":["PMC8133451"],"funding_grant_id":["U01 CK000505","Cooperative Agreement #U01 CK000505"],"pubmed_authors":["Ruiz MO","Li B","Brown WM","Irwin P","Uelmen JA","Karki S","Smith RL"],"additional_accession":[]},"is_claimable":false,"name":"Dynamics of data availability in disease modeling: An example evaluating the trade-offs of ultra-fine-scale factors applied to human West Nile virus disease models in the Chicago area, USA.","description":"<h4>Background</h4>Since 1999, West Nile virus (WNV) has moved rapidly across the United States, resulting in tens of thousands of human cases. Both the number of human cases and the minimum infection rate (MIR) in vector mosquitoes vary across time and space and are driven by numerous abiotic and biotic forces, ranging from differences in microclimates to socio-demographic factors. Because the interactions among these multiple factors affect the locally variable risk of WNV illness, it has been especially difficult to model human disease risk across varying spatial and temporal scales. Cook and DuPage Counties, comprising the city of Chicago and surrounding suburbs, experience some of the highest numbers of human neuroinvasive cases of WNV in the United States. Despite active mosquito con","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021","modification":"2026-05-08T09:42:23.573Z","creation":"2026-04-07T23:50:28.983Z"},"accession":"S-EPMC8133451","cross_references":{"pubmed":["34010306"],"doi":["10.1371/journal.pone.0251517"]}}