Predicting the Current and Future Potential Distributions of Lymphatic Filariasis in Africa Using Maximum Entropy Ecological Niche Modelling
Open Access
- 16 February 2012
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 7 (2), e32202
- https://doi.org/10.1371/journal.pone.0032202
Abstract
Modelling the spatial distributions of human parasite species is crucial to understanding the environmental determinants of infection as well as for guiding the planning of control programmes. Here, we use ecological niche modelling to map the current potential distribution of the macroparasitic disease, lymphatic filariasis (LF), in Africa, and to estimate how future changes in climate and population could affect its spread and burden across the continent. We used 508 community-specific infection presence data collated from the published literature in conjunction with five predictive environmental/climatic and demographic variables, and a maximum entropy niche modelling method to construct the first ecological niche maps describing potential distribution and burden of LF in Africa. We also ran the best-fit model against climate projections made by the HADCM3 and CCCMA models for 2050 under A2a and B2a scenarios to simulate the likely distribution of LF under future climate and population changes. We predict a broad geographic distribution of LF in Africa extending from the west to the east across the middle region of the continent, with high probabilities of occurrence in the Western Africa compared to large areas of medium probability interspersed with smaller areas of high probability in Central and Eastern Africa and in Madagascar. We uncovered complex relationships between predictor ecological niche variables and the probability of LF occurrence. We show for the first time that predicted climate change and population growth will expand both the range and risk of LF infection (and ultimately disease) in an endemic region. We estimate that populations at risk to LF may range from 543 and 804 million currently, and that this could rise to between 1.65 to 1.86 billion in the future depending on the climate scenario used and thresholds applied to signify infection presence.Keywords
This publication has 75 references indexed in Scilit:
- Potential Influence of Climate Change on Vector-Borne and Zoonotic Diseases: A Review and Proposed Research PlanEnvironmental Health Perspectives, 2010
- Climate Change and Risk of Leishmaniasis in North America: Predictions from Ecological Niche Models of Vector and Reservoir SpeciesPLoS Neglected Tropical Diseases, 2010
- Spatial analysis of plague in California: niche modeling predictions of the current distribution and potential response to climate changeInternational Journal of Health Geographics, 2009
- Global Eradication of Lymphatic Filariasis: The Value of Chronic Disease Control in Parasite Elimination ProgrammesPLOS ONE, 2008
- Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East AfricaInternational Journal for Parasitology, 2008
- The geographical distribution of lymphatic filariasis infection in MalawiFilaria Journal, 2007
- Surveillance of Arthropod Vector-Borne Infectious Diseases Using Remote Sensing Techniques: A ReviewPLoS Pathogens, 2007
- Malaria in Africa: Vector Species' Niche Models and Relative Risk MapsPLOS ONE, 2007
- Spatial epidemiology of human schistosomiasis in Africa: risk models, transmission dynamics and controlTransactions of the Royal Society of Tropical Medicine and Hygiene, 2007
- Information Theory and Statistical MechanicsPhysical Review B, 1957