biostudies-literatureMadlock-Brown CNational Center for Advancing Translational SciencesNCATS NIH HHSNational Institute of Diabetes and Digestive and Kidney DiseasesNIDDK NIH HHSU.S. National Library of MedicineNLM NIH HHS747https://www.ebi.ac.uk/biostudies/studies/S-EPMC9008430biostudies-literatureUnknown22(1)<h4>Background</h4>There is a need to evaluate how the choice of time interval contributes to the lack of consistency of SDoH variables that appear as important to COVID-19 disease burden within an analysis for both case counts and death counts.<h4>Methods</h4>This study identified SDoH variables associated with U.S county-level COVID-19 cumulative case and death incidence for six different periods: the first 30, 60, 90, 120, 150, and 180 days since each county had COVID-19 one case per 10,000 residents. The set of SDoH variables were in the following domains: resource deprivation, access to care/health resources, population characteristics, traveling behavior, vulnerable populations, and health status. A generalized variance inflation factor (GVIF) analysis was used to identify variables BMC public healthClinical, social, and policy factors in COVID-19 cases and deaths: methodological considerations for feature selection and modeling in county-level analyses.PMC90084305T32DK110966-04T32 DK110966UL1 TR001430UL1 TR001855U24TR002306U24 TR0023061UL1TR001430-011R21LM013645-01R21 LM013645Weiskopf NBhattacharyya SGoetz KPhuong JLemon CWilkens KDorr DKharrazi HMadlock-Brown CSule AAdams WGCesare NRiches NOEspinoza JLiu FfalseClinical, social, and policy factors in COVID-19 cases and deaths: methodological considerations for feature selection and modeling in county-level analyses.<h4>Background</h4>There is a need to evaluate how the choice of time interval contributes to the lack of consistency of SDoH variables that appear as important to COVID-19 disease burden within an analysis for both case counts and death counts.<h4>Methods</h4>This study identified SDoH variables associated with U.S county-level COVID-19 cumulative case and death incidence for six different periods: the first 30, 60, 90, 120, 150, and 180 days since each county had COVID-19 one case per 10,000 residents. The set of SDoH variables were in the following domains: resource deprivation, access to care/health resources, population characteristics, traveling behavior, vulnerable populations, and health status. A generalized variance inflation factor (GVIF) analysis was used to identify variables 2022-01-01T00:00:00Z2022 Apr2025-04-26T21:01:27.899Z2024-10-19T13:34:52.97ZS-EPMC90084303542195810.1186/s12889-022-13168-y