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Influence of human population density on spatial distribution patterns of environmental suitability for triatomine vectors of Chagas disease
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Very high resolution interpolated climate surfaces for global land areas
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Triatominae-biology and control
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Chagas disease: 100 years after its discovery. A systemic review
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Maximum entropy modeling of species geographic distributions
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Species distribution models and ecological theory: A critical assessment and some possible new approaches
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Rethinking receiver operating characteristic analysis applications in ecological niche modeling
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Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent
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Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data
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New insights on the Chagas disease main vector Triatoma infestans (Reduviidae, Triatominae) brought by the genetic analysis of Bolivian sylvatic populations
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Radiocarbon dating and stable isotopes analyses of Caiman latirostris (Daudin, 1801) (Crocodylia, Alligatoridae) from the late Pleistocene of Northeastern Brazil, with comments on spatial distribution of the species
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Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010
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Global trends in emerging infectious diseases
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Global biogeography of human infectious diseases
inferredcites →https://doi.org/10.1093/jme/tjv119openalex-snapshot
Global Climate Change Effects on Venezuela’s Vulnerability to Chagas Disease is Linked to the Geographic Distribution of Five Triatomine Species
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Global rise in human infectious disease outbreaks
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Global mapping of infectious disease
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The impact of climate change on the geographical distribution of two vectors of Chagas disease: implications for the force of infection
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Understanding co‐occurrence by modelling species simultaneously with a Joint Species Distribution Model ( JSDM )
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The importance of correcting for sampling bias in MaxEnt species distribution models
inferredcites →https://doi.org/10.1111/ecog.01028openalex-snapshot
Geographical distribution, climatic variability and thermo‐tolerance of Chagas disease vectors
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Minimum required number of specimen records to develop accurate species distribution models
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The macroecology of infectious diseases: a new perspective on global‐scale drivers of pathogen distributions and impacts
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Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics
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Geographical patterns of T riatominae ( H eteroptera: R eduviidae) richness and distribution in the W estern H emisphere
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Five (or so) challenges for species distribution modelling
inferredcites →https://doi.org/10.1111/j.1466-8238.2007.00345.xopenalex-snapshot
Biotic interactions improve prediction of boreal bird distributions at macro‐scales
inferredcites →https://doi.org/10.1111/j.1466-8238.2007.00358.xopenalex-snapshot
AUC: a misleading measure of the performance of predictive distribution models
inferredcites →https://doi.org/10.1111/j.1466-8238.2007.00359.xopenalex-snapshot
The importance of biotic interactions for modelling species distributions under climate change
inferredcites →https://doi.org/10.1111/j.1466-8238.2011.00683.xopenalex-snapshot
Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling
inferredcites →https://doi.org/10.1111/j.1469-185x.2012.00235.xopenalex-snapshot
The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling
inferredcites →https://doi.org/10.1111/j.1472-4642.2010.00725.xopenalex-snapshot
A statistical explanation of MaxEnt for ecologists
inferredcites →https://doi.org/10.1111/j.1600-0587.2009.06299.xopenalex-snapshot
SAM: a comprehensive application for Spatial Analysis in Macroecology
inferredcites →https://doi.org/10.1111/jbi.12825openalex-snapshot
When and how should biotic interactions be considered in models of species niches and distributions?
inferredcites →https://doi.org/10.1126/science.1239401openalex-snapshot
Climate Change and Infectious Diseases: From Evidence to a Predictive Framework
inferredcites →https://doi.org/10.1145/1015330.1015412openalex-snapshot
A maximum entropy approach to species distribution modeling
inferredcites →https://doi.org/10.1155/2016/1439090openalex-snapshot
Potential Distribution of Chagas Disease Vectors (Hemiptera, Reduviidae, Triatominae) in Colombia, Based on Ecological Niche Modeling
inferredcites →https://doi.org/10.1186/1756-3305-7-238openalex-snapshot
Distributional potential of the Triatoma brasiliensis species complex at present and under scenarios of future climate conditions
inferredcites →https://doi.org/10.1371/journal.pntd.0002865openalex-snapshot
The Global Burden of Disease Study 2010: Interpretation and Implications for the Neglected Tropical Diseases
inferredcites →https://doi.org/10.1371/journal.pone.0097122openalex-snapshot
Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias
inferredcites →https://doi.org/10.1590/0074-02760140409openalex-snapshot
Intrusive versus domiciliated triatomines and the challenge of adapting vector control practices against Chagas disease
inferredcites →https://doi.org/10.1590/0074-02760150352openalex-snapshot
Spatial distribution of triatomines in domiciles of an urban area of the Brazilian Southeast Region
inferredcites →https://doi.org/10.1590/0074-0276140048openalex-snapshot
Domestic, peridomestic and wild hosts in the transmission of Trypanosoma cruzi in the Caatinga area colonised by Triatoma brasiliensis
inferredcites →https://doi.org/10.1590/1678-476620141043341346openalex-snapshot
Galictis cuja (Mammalia): an update of current knowledge and geographic distribution
inferredcites →https://doi.org/10.1590/s0036-46651993000300004openalex-snapshot
The ecology of Triatoma sordida in natural environments in two different regions of the state of Minas Gerais, Brazil
inferredcites →https://doi.org/10.1590/s0074-02761999000700074openalex-snapshot
Chagas disease: from bush to huts and houses. Is it the case of the Brazilian amazon?
inferredcites →https://doi.org/10.1590/s0074-02762009000900008openalex-snapshot
Biology, diversity and strategies for the monitoring and control of triatomines - Chagas disease vectors
inferredcites →https://doi.org/10.1590/s0074-02762013000300012openalex-snapshot
Climatic factors influencing triatomine occurrence in Central-West Brazil
inferredcites →https://doi.org/10.1590/s1415-790x2004000400010openalex-snapshot
Hepatites virais: aspectos da epidemiologia e da prevenção
inferredcites →https://doi.org/10.1890/07-1748.1openalex-snapshot
CLIMATE CHANGE CAN CAUSE SPATIAL MISMATCH OF TROPHICALLY INTERACTING SPECIES
inferredcites →https://doi.org/10.1890/07-2153.1openalex-snapshot
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
inferredcites →https://doi.org/10.2307/2259264openalex-snapshot
An Introduction to Population Ecology.
inferredcites →https://doi.org/10.33333/rp.v37i1.596openalex-snapshot
Aplicación de Modelos de Nicho Ecológico para estudios Epidemiológicos: Triatoma dimidiata, vector de la 1 Enfermedad de Chagas en Ecuador
inferredcites →https://doi.org/10.4081/gh.2007.268openalex-snapshot
Environmental determinants of the distribution of Chagas disease vectors in south-eastern Guatemala
inferredcites →https://doi.org/10.4269/ajtmh.15-0197openalex-snapshot
Environmental Determinants of the Distribution of Chagas Disease Vector Triatoma dimidiata in Colombia
inferredcites →https://doi.org/10.4322/natcon.2012.019openalex-snapshot
Species Distribution Modeling and Ecological Niche Modeling: Getting the Concepts Right
inferredcites →https://doi.org/10.5123/s1679-49742016000500002openalex-snapshot
II Consenso Brasileiro em Doença de Chagas, 2015
inferredcites →https://doi.org/10.5860/choice.49-6266openalex-snapshot
Ecological niches and geographic distributions
inferredcites →https://doi.org/10.7476/9788598203096openalex-snapshot
Vetores da doença de Chagas no Brasil
inferredcites →https://doi.org/10.7927/h4dz068dopenalex-snapshot
Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 10
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