{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ediriweera DS"],"funding":["Medical Research Council","medical research council, United Kingdom"],"pagination":["e0223021"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6776347"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(10)"],"pubmed_abstract":["<h4>Background</h4>Health outcomes and causality are usually assessed with individual level sociodemographic variables. Studies that consider only individual-level variables can suffer from residual confounding. This can result in individual variables that are unrelated to risk behaving as proxies for uncaptured information. There is a scarcity of literature on risk factors for snakebite. In this study, we evaluate the individual-level risk factors of snakebite in Sri Lanka and highlight the impact of spatial confounding on determining the individual-level risk effects.<h4>Methods</h4>Data was obtained from the National Snakebite Survey of Sri Lanka. This was an Island-wide community-based survey. The survey sampled 165,665 individuals from all 25 districts of the country. We used generali"],"journal":["PloS one"],"pubmed_title":["Adjusting for spatial variation when assessing individual-level risk: A case-study in the epidemiology of snake-bite in Sri Lanka."],"pmcid":["PMC6776347"],"funding_grant_id":["MR/P024513/1","MR/R015600/1"],"pubmed_authors":["Gunawardene NK","Lalloo DG","Diggle PJ","de Silva HJ","Jayamanne SF","Pathmeswaran A","Murray K","Ediriweera DS","Iwamura T","Kasthuriratne A"],"additional_accession":[]},"is_claimable":false,"name":"Adjusting for spatial variation when assessing individual-level risk: A case-study in the epidemiology of snake-bite in Sri Lanka.","description":"<h4>Background</h4>Health outcomes and causality are usually assessed with individual level sociodemographic variables. Studies that consider only individual-level variables can suffer from residual confounding. This can result in individual variables that are unrelated to risk behaving as proxies for uncaptured information. There is a scarcity of literature on risk factors for snakebite. In this study, we evaluate the individual-level risk factors of snakebite in Sri Lanka and highlight the impact of spatial confounding on determining the individual-level risk effects.<h4>Methods</h4>Data was obtained from the National Snakebite Survey of Sri Lanka. This was an Island-wide community-based survey. The survey sampled 165,665 individuals from all 25 districts of the country. We used generali","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019","modification":"2025-04-22T21:30:53.888Z","creation":"2019-10-16T07:10:19Z"},"accession":"S-EPMC6776347","cross_references":{"pubmed":["31581273"],"doi":["10.1371/journal.pone.0223021"]}}