Time-specific ecological niche modeling predicts spatial dynamics of vector insects and human dengue cases
- 1 September 2005
- journal article
- Published by Oxford University Press (OUP) in Transactions of the Royal Society of Tropical Medicine and Hygiene
- Vol. 99 (9) , 647-655
- https://doi.org/10.1016/j.trstmh.2005.02.004
Abstract
Numerous human diseases—malaria, dengue, yellow fever and leishmaniasis, to name a few—are transmitted by insect vectors with brief life cycles and biting activity that varies in both space and time. Although the general geographic distributions of these epidemiologically important species are known, the spatiotemporal variation in their emergence and activity remains poorly understood. We used ecological niche modeling via a genetic algorithm to produce time-specific predictive models of monthly distributions of Aedes aegypti in Mexico in 1995. Significant predictions of monthly mosquito activity and distributions indicate that predicting spatiotemporal dynamics of disease vector species is feasible; significant coincidence with human cases of dengue indicate that these dynamics probably translate directly into transmission of dengue virus to humans. This approach provides new potential for optimizing use of resources for disease prevention and remediation via automated forecasting of disease transmission risk.Keywords
This publication has 28 references indexed in Scilit:
- Distribution of Members ofAnopheles quadrimaculatusSay s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United StatesJournal of Medical Entomology, 2004
- Use of datasets derived from time-series AVHRR imagery as surrogates for land cover maps in predicting species' distributionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Developing regional and species-level assessments of climate change impacts on biodiversity in the Cape Floristic RegionBiological Conservation, 2003
- Evaluating predictive models of species’ distributions: criteria for selecting optimal modelsEcological Modelling, 2003
- Using Satellite and Field Data with Crop Growth Modeling to Monitor and Estimate Corn Yield in MexicoCrop Science, 2002
- Forecasting malaria incidence from historical morbidity patterns in epidemic‐prone areas of Ethiopia: a simple seasonal adjustment method performs bestTropical Medicine & International Health, 2002
- Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050Global Change Biology, 2002
- Speciation and Distribution of the Members of theAnopheles punctulatus(Diptera: Culicidae) Group in Papua New GuineaJournal of Medical Entomology, 2002
- Malaria early warning in KenyaTrends in Parasitology, 2001
- Early Warning of Malaria Epidemics in African Highlands Using Anopheles (Diptera: Culicidae) Indoor Resting DensityJournal of Medical Entomology, 2000