ArticleInternational journal of health geographics2014
Agricultural landscape and spatial distribution of Toxoplasma gondii in rural environment: an agent-based model.
Article in International journal of health geographics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Fallow deer approaching humans are more likely to be seropositive forRoyal Society open science · 2025Article
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- Modelling transmission and control ofRoyal Society open science · 2025Article
- The role of species ecology in predicting Toxoplasma gondii prevalence in wild and domesticated mammals globally.PLoS pathogens · 2024Article
- Detection, fate and transport of the biohazardous agent Toxoplasma gondii in soil water systems: Influence of soil physicochemical properties, water chemistry and surfactant.Environmental microbiology reports · 2023Article
- Combining a parsimonious mathematical model with infection data from tailor-made experiments to understand environmental transmission.Scientific reports · 2023Article
- Virulence evolution ofEvolutionary applications · 2023Article
- Systematic Review and Modelling of Age-Dependent Prevalence ofPathogens (Basel, Switzerland) · 2023Article
- Mathematical modelling ofFood and waterborne parasitology · 2021Review
- Article
- Socioeconomic vulnerability associated to Toxoplasma gondii exposure in southern Brazil.PloS one · 2019Article
- Human impact on the diversity and virulence of the ubiquitous zoonotic parasiteProceedings of the National Academy of Sciences of the United States of America · 2018Article
- A multi-event capture-recapture analysis of Toxoplasma gondii seroconversion dynamics in farm cats.Parasites & vectors · 2018Article
- Intelligent judgements over health risks in a spatial agent-based model.International journal of health geographics · 2018Article
- Impact of environmental factors on the emergence, transmission and distribution of Toxoplasma gondii.Parasites & vectors · 2016Review
- Evolution of research in health geographics through the International Journal of Health Geographics (2002-2015).International journal of health geographics · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPredicting the spatial distribution of pathogens with an environmental stage is challenging because of the difficulty to detect them in environmental samples. Among these pathogens, the parasite Toxoplasma gondii is the causative agent of the zoonosis toxoplasmosis, which is responsible for public health issues. Oocysts of T. gondii are excreted by infected cats in the environment, where they may survive and remain infectious for intermediate hosts, specifically rodents, during months to years. The landscape structure that determines the density and distribution of cats may thus impact the spatial distribution of T. gondii. In this study, we investigated the influences of rural settings on the spatial distribution of oocysts in the soil.
methodWe developed a spatially explicit agent based model to study how landscape structures impact on the spatial distribution of T. gondii prevalence in its rodent intermediate host as well as contamination in the environment. The rural landscape was characterized by the location of farm buildings, which provide shelters and resources for the cats. Specifically, we considered two configurations of farm buildings, i.e. inside and outside a village. Simulations of the first setting, with farm buildings inside the village, were validated using data from previous field studies. Then, simulation results of the two settings were compared to investigate the influences of the farm locations.
resultsModel predictions showed a steeper relationship between distance to the nearest farm and infection levels when farm buildings, and thus cats, were concentrated in the same area than when the farms were spread over the area. The relationship between distance to the village center and level of environmental contamination also differed between settings with a potential increased risk for inhabitants when farms are located inside the village. Maps of the risk of soil contaminated with oocysts were also derived from the model.
conclusionThe agent-based model provides a useful tool to assess the risk of contamination by T. gondii oocysts at a local scale and determine the most at risk areas. Moreover it provides a basis to investigate the spatial dynamics of pathogens with an environmental stage.
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