Spatial and demographic determinants of Toxoplasma gondii seroprevalence in alpine game meat
Year: 2026
Type: article
Abstract: Toxoplasma gondii is a zoonotic protozoan affecting a wide range of vertebrates. Game animals can ingest the parasite from environmental contamination or through consumption of infected tissues. This study investigated the seroprevalence of T. gondii in game species in alpine hunting districts of northwestern Italy, where wild definitive hosts are not reported, and the domestic cat population is scarce. A total of 225 animals, including 16 alpine chamois, 5 roe deer, 31 red deer, 15 European brown hare and 158 wild boar, were sampled during the 2022/2023 hunting season and tested with a commercial ELISA kit. Test results were then georeferenced by culling location and correlated through Generalized Linear Mixed Models to spatial-demographic data such as wild boar and red fox densities, distance form human settlements, inhabitants’ density and landscape fragmentation, to see the role of such data in predicting the probability of a positive specimen. T. gondii seropositivity was detected in wild boar (34.2%), and 1 roe deer; all other species tested negative. Univariate and multivariate regression analyses revealed that wild boar density, age and proximity to human settlements were significant factors associated positively with seropositivity and accounted for the residual spatial correlation in the data. Such results highlighted the importance of considering both wildlife density and proximity to anthropogenic environments of culled animals in understanding the risk of T. gondii exposure to people from game meat. Additionally, they underscored the need for reliable wildlife density maps for disease risk assessments, particularly for zoonotic pathogens.
Source: Parasitology
Institution: University of Turin
Language: English
Subfield: Parasitology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,550
Funder: European Food Safety Authority
OpenAlex ID: W7171492080
