The influence of sociodemographic and environmental factors on wildlife carcass submissions in urban areas: Opportunities for increasing equitable and representative wildlife health surveillance
J. Giacinti, S. J. Robinson, Shannon K. French, D. Pearl, C. Jardine
{"title":"The influence of sociodemographic and environmental factors on wildlife carcass submissions in urban areas: Opportunities for increasing equitable and representative wildlife health surveillance","authors":"J. Giacinti, S. J. Robinson, Shannon K. French, D. Pearl, C. Jardine","doi":"10.1139/facets-2022-0137","DOIUrl":null,"url":null,"abstract":"Wildlife health surveillance is important in rapidly expanding urban areas, where wildlife live in close association with humans and face unique health risks. Urban areas are not homogeneous, and social and environmental factors may affect the distribution of surveillance data we receive from these environments. The Canadian Wildlife Health Cooperative (CWHC) operates a national wildlife surveillance programme that receives carcass submissions for diagnostic evaluation. Our objective was to evaluate sociodemographic and environmental factors associated with CWHC submissions within two cities in Ontario, Canada. Submissions were mapped at two geographic scales and linked with census and environmental data. The results of mixed multivariable Poisson and negative binomial regression analyses suggest that natural (e.g., percent parkland) and anthropogenic environmental (e.g., presence of a zoo) and social variables (e.g., low income) are associated with submissions at both administratively relevant scales. Associations that are common across scales may represent robust intervention points and inform surveillance methodology/messaging. Surveillance data may influence public health policy, wildlife management, and other decision-making regarding the benefits/risks associated with coexistence with wildlife. This study highlights gaps in surveillance methodology that may prevent equal opportunity for participation in wildlife health surveillance and enable equal opportunity to benefit from the associated outputs.","PeriodicalId":48511,"journal":{"name":"Facets","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Facets","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1139/facets-2022-0137","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Wildlife health surveillance is important in rapidly expanding urban areas, where wildlife live in close association with humans and face unique health risks. Urban areas are not homogeneous, and social and environmental factors may affect the distribution of surveillance data we receive from these environments. The Canadian Wildlife Health Cooperative (CWHC) operates a national wildlife surveillance programme that receives carcass submissions for diagnostic evaluation. Our objective was to evaluate sociodemographic and environmental factors associated with CWHC submissions within two cities in Ontario, Canada. Submissions were mapped at two geographic scales and linked with census and environmental data. The results of mixed multivariable Poisson and negative binomial regression analyses suggest that natural (e.g., percent parkland) and anthropogenic environmental (e.g., presence of a zoo) and social variables (e.g., low income) are associated with submissions at both administratively relevant scales. Associations that are common across scales may represent robust intervention points and inform surveillance methodology/messaging. Surveillance data may influence public health policy, wildlife management, and other decision-making regarding the benefits/risks associated with coexistence with wildlife. This study highlights gaps in surveillance methodology that may prevent equal opportunity for participation in wildlife health surveillance and enable equal opportunity to benefit from the associated outputs.