1921
Volume 76, Issue 6
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

Abstract

The effects of rice growth environment on malaria transmission, taking into account spatial correlation, were assessed in the Office du Niger, Mali. Between April 1999 to January 2001, 8 quarterly entomologic surveys were conducted in 18 villages in 3 agricultural zones. Vector densities in sleeping houses were related to rice crop, rice development stages, vegetation abundance, water state, and seasons. They were high throughout the rice-growing seasons, increased as the rice crop developed, and decreased as vegetation became abundant. They also showed large spatial correlations (up to 30.6 km). The vectorial capacity exhibited both seasonal and village-to-village variation. Parity and the human blood index were weakly related to adult densities and showed low spatial correlations (up to 3.4 km), which suggested that small area variation in malaria transmission results mainly from variations in vector-human contact. Control strategies in rice cultivation areas should pay attention to this local variation.

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References

  1. Ijumba JN, Lindsay SW, 2001. Impact of irrigation on malaria in Africa: paddies paradox. Med Vet Entomol 15 : 1–11. [Google Scholar]
  2. Carnevale P, Guillet P, Robert V, Fontenille D, Doannio J, Coosemans M, Mouchet J, 1999. Diversity of malaria in rice growing areas of the Afrotropical region. Parassitologia 41 : 273–276. [Google Scholar]
  3. Bambaradeniya CNB, Edirisinghe JP, 2001. The Ecological Role of Spiders in the Rice fields of Sri Lanka. Biodiversity 2 : 3–10. [Google Scholar]
  4. Khush GS, 1984. Terminology for rice growing environments. Terminology for Rice Growing Ecosystems. Manila: International Rice Research Institute, 5–10.
  5. Diuk-Wasser MA, Bagayoko M, Sogoba N, Dolo G, Toure MB, Traore SF, Taylor CE, 2004. Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data. Int J Remote Sens 25 : 359–376. [Google Scholar]
  6. Diuk-Wasser MA, Toure MB, Dolo G, Bagayoko M, Sogoba N, Traore SF, Manoukis N, Taylor CE, 2005. Vector abundance and malaria transmission in rice-growing villages in Mali. Am J Trop Med Hyg 72 : 725–731. [Google Scholar]
  7. Coluzzi M, Petrarca V, 1973. Aspirator with paper cup for collecting mosquitoes and other insects. Mosq News 33 : 249–250. [Google Scholar]
  8. Detinova TS, 1962. Age-grouping methods in Diptera of medical importance with special reference to some vectors of malaria. Monogr Ser World Health Organ 47 : 13–191. [Google Scholar]
  9. Beier MS, Schwartz IK, Beier JC, Perkins PV, Onyango F, Koros JK, Campbell GH, Andrysiak PM, Brandling-Bennett AD, 1988. Identification of malaria species by ELISA in sporozoite and oocyst infected Anopheles from western Kenya. Am J Trop Med Hyg 39 : 323–327. [Google Scholar]
  10. Garrett-Jones C, 1964. Prognosis for interruption of malaria transmission through assessment of the mosquito’s vectorial capacity. Nature 204 : 1173–1175. [Google Scholar]
  11. Davidson G, 1954. Estimation of the survivalrate of anopheline mosquitoes in nature. Nature 174 : 792–793. [Google Scholar]
  12. Service MW, 1976. Mosquito Ecology: Field Sampling Methods. Essex, United Kingdom: Applied Science Publisher.
  13. Briet OJ, 2002. A simple method for calculating mosquito mortality rates, correcting for seasonal variations in recruitment. Med Vet Entomol 16 : 22–27. [Google Scholar]
  14. Charlwood JD, Alecrim WA, 1997. Capture-recapture studies with the South American malaria vector Anopheles darlingi, Root. Ann Trop Med Parasitol 83 : 569–576. [Google Scholar]
  15. Mehugh CP, 1990. Survivorship and gonotrophic cycle length of Culex tarsalis (Diptera, Culicidae) near Sheridan, Placer country, California. J Med Entomol 27 : 1027–1030. [Google Scholar]
  16. Ecker MD, Gelfand AE, 1997. Bayesian variogram modeling for an isotropic spatial process. J Agric Biol Environ Stat 2 : 347–368. [Google Scholar]
  17. Spiegelhalter DJ, Best NG, Carlin BR, van der Linde A, 2002. A Bayesian measures of model complexity and fit. J R Stat Soc Ser B 64 : 583–616. [Google Scholar]
  18. Cressie NAC, 1993. Statistics for Spatial Data. New York: John Wiley & Sons, Inc.
  19. Dolo G, Briet OJ, Dao A, Traore SF, Bouare M, Sogoba N, Niare O, Bagayogo M, Sangare D, Teuscher T, Toure YT, 2004. Malaria transmission in relation to rice cultivation in the irrigated Sahel of Mali. Acta Trop 89 : 147–159. [Google Scholar]
  20. Koudou BG, Tano Y, Doumbia M, Nsanzabana C, Cisse G, Girardin O, Dao D, N’Goran EK, Vounatsou P, Bordmann G, Keiser J, Tanner M, Utzinger J, 2005. Malaria transmission dynamics in central Côte d’Ivoire: the influence of changing patterns of irrigated rice agriculture. Med Vet Entomol 19 : 27–37. [Google Scholar]
  21. Klinkenberg E, Takken W, Huibers F, Toure YT, 2003. The phenology of malaria mosquitoes in irrigated rice fields in Mali. Acta Trop 85 : 71–82. [Google Scholar]
  22. Mouchet J, Brengues J, 1990. Agriculture-health interface in the field of epidemiology of vector-borne diseases and the control of vectors. Bull Soc Pathol Exot 83 : 376–393. [Google Scholar]
  23. Doannio JM, Dossou-Yovo J, Diarrassouba S, Rakotondraibe ME, Chauvancy G, Chandre F, Riviere F, Carnevale P, 2002. Dynamics of malaria transmission in Kafine, a rice growing village in a humid savannah area of Côte d’Ivoire. Bull Soc Pathol Exot 95 : 11–16. [Google Scholar]
  24. Temel T, 2004. Malaria from the gap: need for cross-sector cooperation in Azerbaijan. Acta Trop 89 : 249–259. [Google Scholar]
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  • Received : 17 Aug 2005
  • Accepted : 21 Feb 2007

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