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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | DeVisser, Mark H Messina, Joseph P |
| Abstract | Background Tsetse flies are the primary vector for African trypanosomiasis, a disease that affects both humans and livestock across the continent of Africa. In 1973 tsetse flies were estimated to inhabit 22% of Kenya; by 1996 that number had risen to roughly 34%. Efforts to control the disease were hampered by a lack of information and costs associated with the identification of infested areas. Given changing spatial and demographic factors, a model that can predict suitable tsetse fly habitat based on land cover and climate change is critical to efforts aimed at controlling the disease. In this paper we present a generalizable method, using a modified Mapcurves goodness of fit test, to evaluate the existing publicly available land cover products to determine which products perform the best at identifying suitable tsetse fly land cover. Results For single date applications, Africover was determined to be the best land use land cover (LULC) product for tsetse modeling. However, for changing habitats, whether climatically or anthropogenically forced, the IGBP DISCover and MODIS type 1 products where determined to be most practical. Conclusion The method can be used to differentiate between various LULC products and be applied to any such research when there is a known relationship between a species and land cover. |
| Related Links | https://ij-healthgeographics.biomedcentral.com/counter/pdf/10.1186/1476-072X-8-39.pdf |
| Ending Page | 20 |
| Page Count | 20 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| DOI | 10.1186/1476-072X-8-39 |
| Journal | International Journal of Health Geographics |
| Issue Number | 1 |
| Volume Number | 8 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2009-06-29 |
| Access Restriction | Open |
| Subject Keyword | Public Health Health Informatics Human Geography Epidemiology Health Promotion and Disease Prevention Medical Geography Land Cover Human African Trypanosomiasis Global Land Cover Land Cover Product Land Cover Classification System |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Public Health, Environmental and Occupational Health Business, Management and Accounting |
| Journal Impact Factor | 3/2023 |
| 5-Year Journal Impact Factor | 4.1/2023 |
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