Answers are grounded in this paper and cite their sources.
Ecological modeling reveals vector species composition outperforms species richness in predicting Chagas disease, highlighting the need to integrate human infection dynamics.
Chagas disease represents one of the major health issue in Latin America. Epidemiological control is focused on disease vectors, so studies on the ecology of triatomine vectors constitute a central strategy. Recently, research at large spatial scale has been produced, and authors commonly rely on the assumption that geographical regions presenting good environmental conditions for most vector species are also those with high risk of infection. In the present work, we provide an explicit evaluation for this assumption. Employing species distribution models and epidemiological data for Chagas disease in Brazilian territory, our results show that species richness is a poor predictor for the observed pattern of Chagas disease occurrence. Species composition proved to be a better predictor. We stress that research on macroecology of infectious diseases should go beyond the analysis of biodiversity patterns and consider human infections as a central part of the focal ecological systems.
No takes yet. Share an insight, caveat, or question.
Eduardo et al. (2018) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: