Influence of human population density on spatial distribution patterns of environmental suitability for triatomine vectors of Chagas disease
Eduardo, A. A.; Santos, L. A. B. O.; Reboucas, M. C.; Martinez, P. A.
Show abstract
Previous work on Chagas Disease disease at large spatial scales has not explored how interaction with humans can affect projections for geographical distribution of environmental suitability of vector species. Here, we compare niche-based species distribution models with climatic variables as predictors (SDMclim) and with climatic variables + human population density (SDMHuman). Our results show that accounting for human population density helps refine the models to finer geographical scales. Also, different spatial patterns of accumulated environmental suitability were obtained by SDMclim and SDMHuman. Moreover, projections were more accurate for SDMHuman than for SDMclim. Our results show that considering human populations in SDMs for epidemiologically relevant triatomiane species can improve our understanding of macroecology and biogeography of environmental suitability for vectors of Chagas disease.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi in Latin America 97%
- Redefining snakebite envenoming as a zoonosis: disease incidence is driven by snake ecology, socioeconomics and anthropogenic impacts 95%
- An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 the yellow fever and Mayaro virus vector, in South America 94%
Similar papers in this journal
- Suitability of anthrax ( Bacillus anthracis ) in the Black Sea basin through the scope of distribution modelling 96%
- Protected areas network is not adequate to protect a critically endangered East Africa Chelonian: Modelling distribution of pancake tortoise, Malacochersus tornieri under current and future climates 96%
- Effects of land use and weather on the presence and abundance of mosquito-borne disease vectors in a urban and agricultural landscape in Eastern Ontario, Canada 95%
Similar papers in this journal
- Prediction of mosquito vector abundance for three species in the Anopheles gambiae complex 95%
- Field-validation of multiple species distribution models shows variation in performance for predicting Aedes albopictus distributions at the invasion edge 94%
- Modelling the impact of climate change on the distribution and abundance of tsetse in Northern Zimbabwe 94%
Similar papers in this journal
- Inferring wildlife poaching in Southeast Asia with multispecies dynamic site-occupancy models 90%
- Bayesian species distribution models integrate presence-only and presence-absence data to predict deer distribution and relative abundance. 90%
- Fauxcurrence: simulating multi-species occurrences for null models in species distribution modelling and biogeography 90%
Similar papers in this journal
- Seasonality of host-seeking Ixodes ricinus nymph abundance in relation to climate 92%
- Physiological and behavioural resistance of malaria vectors in rural West-Africa : a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predictability 92%
- Relevance of the synergy of surveillance and populational networks in understanding the Usutu virus outbreak within common blackbirds (Turdus merula) in Metropolitan France, 2018 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.