1921
Volume 73, Issue 1
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

Abstract

Improved prediction, prevention, and control of epidemics is a key technical element of the Roll Back Malaria partnership. We report a methodology for assessing the importance of climate as a driver of inter-annual variability in malaria in Botswana, and provide the evidence base for inclusion of climate information in a national malaria early warning system. The relationships of variability in rainfall and sea surface temperatures (SSTs) to malaria incidence are assessed at the national level after removing the impact of non-climatic trends and a major policy intervention. Variability in rainfall totals for the period December–February accounts for more than two-thirds of the inter-annual variability in standardized malaria incidence in Botswana (January–May). Both rainfall and annual malaria anomalies in December–February are significantly related to SSTs in the eastern Pacific, suggesting they may be predictable months in advance using seasonal climate forecasting methodologies.

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2005-07-01
2017-10-19
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References

  1. Worrall E, Rietveld A, Delacollette C, 2004. The burden of malaria epidemics and cost-effectiveness of interventions in epidemic situations in Africa. Am J Trop Med Hyg 71 (Suppl 2): 136–140.
  2. Connor S, Thomson M, Molyneux D, 1999. Forecasting and prevention of epidemic malaria: new perspectives on an old problem. Parassitologia 41 : 439–448.
  3. WHO, 2002. Final Report on the Third Meeting of the RBM Technical Resource Network on Epidemic Prevention and Control. Geneva: World Health Organization.
  4. WHO, 2003. Chapter 3: Prompt and Effective Treatment. Africa Malaria Report. Geneva: World Health Organization.
  5. Koenraadt CJM, Githeko AK, Takken W, 2004. The effects of rainfall and evapotranspiration on the temporal dynamics of Anopheles gambiae s.s. and Anopheles arabiensis in a Kenyan village. Acta Trop 90 : 141–153.
  6. Lindsay SW, Bodker R, Malima R, Msangeni HA, Kisinza W, 2000. Effect of 1997–98 El Nino on highland malaria in Tanzania. Lancet 355 : 989–990.
  7. Najera JA, Kouznetzsov R, L., Delacollette, C., 1998. Malaria Epidemics: Detection and Control, Forecasting and Prevention. Geneva: World Health Organization. WHO/MAL/98.1084.
  8. Thomson MC, Connor SJ, O’Niell K, Meert JP, 2000. Environmental information for epidemic prediction. Parasitol Today 16 : 137–138.
  9. Rogers DJ, Randolph SE, Snow RW, Hay SI, 2002. Satellite imagery in the study and forecast of malaria. Nature 415 : 710–715.
  10. Ceccato P, Connor SJ, Jeanne I, Thomson MC, 2005. Application of geographical information system and remote sensing in malaria risk. Parassitologia 47: (in press).
  11. Gill CA, 1923. The prediction of malaria epidemics: with special reference to an actual forecast in 1921. Indian J Med Res 10 : 1136–1143.
  12. Hay SI, Rogers DJ, Shanks GD, Myers MF, Snow RW, 2001. Malaria early warning in Kenya. Trends Parasitol 17 : 95–99.
  13. Thomson MC, Connor SJ, 2001. The development of malaria early warning systems for Africa. Trends Parasitol 17 : 438–445.
  14. WHO, 2001. Malaria Early Warning Systems, Concepts, Indicators and Partners, “A Framework for Field Research in Africa.” Geneva: World Health Organization.
  15. Goddard L, Mason SJ, 2002. Sensitivity of seasonal climate forecasts to persisted SST anomalies. Climate Dynamics 19 : 619–631.
  16. Kovats RS, Bouma MJ, Hajat S, Worrall E, Haines A, 2003. El Nino and health. Lancet 362 : 1481–1489.
  17. Mason SJ, Tyson PD, 2000. The occurrence and predictability of droughts over southern Africa. Wilhite DA, ed. Droughts. Volume 1. A Global Assessment. New York: Routledge, 113–134.
  18. de Meillon B, 1947. The Anophelini of the Ethiopian Geographical Region. Johannesburg, South Africa: The South African Institute for Medical Research.
  19. Ministry of Health, Botswana, 1999. A Manual for Health Workers in Botswana. Gaborone: Epidemiology and Disease Control Unit, Community Health Services Division, Ministry of Health, Botswana, 78.
  20. Mabaso MLH, Sharp B, Lengeler C, 2004. Historical review of malarial control in southern African with emphasis on the use of indoor residual house-spraying. Trop Med Int Health 9 : 846–856.
  21. Ministry of Health, Botswana, 1997. Report on Malaria Conference 27–29 August 1997. Gaborone: Malaria Control Programme, Ministry of Health, 96.
  22. Xie P, Arkin PA, 1998. Global monthly precipitation from satellite-observed outgoing longwave radiation. J Climate 11 : 137–164.
  23. Goddard L, Mason SJ, Zebiak SE, Ropelewski CF, Basher R, Cane MA, 2001. Current approaches to seasonal-to-interannual climate predictions. Int J Climatol 21 : 1111–1152.
  24. Mason SJ, Jury MR, 1997. Climatic variability and change over southern Africa: a reflection on underlying processes. Prog Phys Geogr 21 : 23–50.
  25. Barnston AG, Chelliah M, Goldenberg SB, 1997. Documentation of a highly ENSO-related SST region in the equatorial Pacific. Atmosphere-Ocean 35 : 367–383.
  26. Sheskin DJ, 2000. Handbook of Parametric and Nonparametric Statistical Procedures. Boca Raton, FL: Chapman and Hall/CRC Press.
  27. Reason CJC, Keibel A, 2004. Tropical cyclone Eline and its unusual penetration and impacts over the southern African mainland. Weather Forecasting 19 : 789–805.
  28. Lindsay SW, Martens WJM, 1998. Malaria in the African highlands: past, present and future. Bull World Health Organ 76 : 33–45.
  29. Loevinsohn ME, 1994. Climatic warming and increased malaria incidence in Rwanda. Lancet 343 : 714–718.
  30. Hay SI, Rogers DJ, Randolph SE, Stern DI, Cox J, Shanks GD, Snow RW, 2002. Hot topic or hot air? Climate change and malaria resurgence in east African highlands. Trends Parasitol 18 : 530–534.
  31. Zhou G, Minakawa N, Githeko AK, Yan G, 2004. Association between climate variability and malaria epidemics in the east African highlands. Proc Natl Acad Sci U S A 101 : 2375–2380.
  32. Bouma MJ, 2003. Methodological problems and amendments to demonstrate effects of temperature on the epidemiology of malaria. A new perspective on the highland epidemics in Madagascar, 1972–89. Trans R Soc Trop Med Hyg 97 : 133–139.
  33. Craig MH, Kleinschmidt I, Le Sueur D, Sharp BL, 2004. Exploring 30 years of malaria case data in KwaZulu-Natal, South Africa: Part II. The impact of non-climatic factors. Trop Med Int Health 9 : 1258–1266.
  34. Hay SI, Myers MF, Burke DS, Vaughn DW, Endy T, Ananda N, Shanks GD, Snow RW, Rogers DJ, 2000. Etiology of interepidemic periods of mosquito-borne disease. Proc Natl Acad Sci U S A 97 : 9335–9339.
  35. Salomon JA, Murray CJL, 2001. Modelling HIV/AIDS epidemics in sub-Saharan Africa using seroprevalence data from antenatal clinics. Bull World Health Organ 79 : 596–607.
  36. da Silva J, Garanganga B, Teveredzi V, Marx S, Mason SJ, Connor SJ, 2004. Improving epidemic malaria planning, preparedness and response in southern Africa. Malaria J 3 : 37.
  37. Remme JHF, Binka F, Nabarro D, 2001. Toward a framework and indicators for monitoring Roll Back Malaria. Am J Trop Med Hyg 64 : 76–84.
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  • Received : 01 Dec 2004
  • Accepted : 11 Jan 2005

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