Malaria risk on the Amazon frontier
- †Department of Geography, University of South Carolina, Columbia, SC 29208;
- §Centro de Desenvolvimento e Planejamento Regional, Federal University of Minas Gerais, Belo Horizonte, MG 30170-120, Brazil; and
- ¶Office of Population Research, Princeton University, Princeton, NJ 08544
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Contributed by Burton H. Singer, December 9, 2005
Abstract
Frontier malaria is a biological, ecological, and sociodemographic phenomenon operating over time at three spatial scales (micro/individual, community, and state and national). We explicate these linkages by integrating data from remote sensing surveys, ground-level surveys and ethnographic appraisal, focusing on the Machadinho settlement project in Rondônia, Brazil. Spatially explicit analyses reveal that the early stages of frontier settlement are dominated by environmental risks, consequential to ecosystem transformations that promote larval habitats of Anopheles darlingi. With the advance of forest clearance and the establishment of agriculture, ranching, and urban development, malaria transmission is substantially reduced, and risks of new infection are largely driven by human behavioral factors. Malaria mitigation strategies for frontier settlements require a combination of preventive and curative methods and close collaboration between the health and agricultural sectors. Of fundamental importance is matching the agricultural potential of specific plots to the economic and technical capacities of new migrants. Equally important is providing an effective agricultural extension service.
Footnotes
- ‡To whom correspondence may be addressed. E-mail: mcaldas{at}sc.edu or singer{at}princeton.edu
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Author contributions: M.C.d.C., R.L.M.-M., D.O.S., and B.H.S. designed research; M.C.d.C., R.L.M.-M., and D.O.S. performed research; M.C.d.C., R.L.M.-M., D.O.S., and B.H.S. analyzed data; and M.C.d.C. and B.H.S. wrote the paper.
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Conflict of interest statement: No conflicts declared.
- Abbreviations:
- GoM,
- grade of membership;
- EWR,
- exposure-weighted malaria illness rate.
Abbreviations:
- © 2006 by The National Academy of Sciences of the USA





