Volume 88, Issue 4
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645



Malaria is endemic to Bangladesh. In this longitudinal study, we used hydrologic, topographic, and socioeconomic risk factors to explain single and multiple malaria infections at individual and household levels. Malaria incidence was determined for 1,634 households in 54 villages in 2009 and 2010. During the entire study period 21.8% of households accounted for all (n = 497) malaria cases detected; 15.4% of households had 1 case and 6.4% had ≥ 2 cases. The greatest risk factors for malaria infection were low bed net ratio per household, house construction materials (wall), and high density of houses. Hydrologic and topographic factors were not significantly associated with malaria risk. This study identifies stable malaria hotspots and risk factors that should be considered for cost-effective targeting of malaria interventions that may contribute to potential elimination of malaria in Bangladesh.

[open-access] This is an Open Access article distributed under the terms of the American Society of Tropical Medicine and Hygiene's Re-use License which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


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  1. Malaria and Parasite Disease Control Unit, 2008. Malaria Country Report Bangladesh. Dhaka: Ministry of Health.
  2. Haque U, Magalhaes RJ, Reid HL, Clements AC, Ahmed SM, Islam A, Yamamoto T, Haque R, Glass GE, , 2010. Spatial prediction of malaria prevalence in an endemic area of Bangladesh. Malar J 9: 120.[Crossref]
  3. Haque U, Ahmed SM, Hossain S, Huda M, Hossain A, Alam MS, Mondal D, Khan WA, Khalequzzaman M, Haque R, , 2009. Malaria prevalence in endemic districts of Bangladesh. PLoS ONE 4: e6737.[Crossref]
  4. Malaria and Parasite Disease Control Unit, 2011. Malaria Country Report Bangladesh. Dhaka: Ministry of Health.
  5. Haque U, Sunahara T, Hashizume M, Shields T, Yamamoto T, Haque R, Glass GE, , 2011. Malaria prevalence, risk factors and spatial distribution in a hilly forest area of Bangladesh. PLoS ONE 6: e18908.[Crossref]
  6. Global Fund to Fight AIDS, Tuberculosis and Malaria, 2006. Available at: http://www.theglobalfund.org/grantdocuments/6BANM_1267_0_full.pdf.
  7. Clark TD, Greenhouse B, Njama-Meya D, Nzarubara B, Maiteki-Sebuguzi C, Staedke SG, Seto E, Kamya MR, Rosenthal PJ, Dorsey G, , 2008. Factors determining the heterogeneity of malaria incidence in children in Kampala, Uganda. J Infect Dis 198: 393400.[Crossref]
  8. Syed MA, Rashidul H, Ubydul H, Awlad H, , 2009. Knowledge on the transmission, prevention and treatment of malaria among two endemic populations of Bangladesh and their health-seeking behavior. Malar J 8: 173.[Crossref]
  9. Haque U, Hashizume M, Sunahara T, Hossain S, Masud Ahmed S, Haque R, Yamamoto T, Glass GE, , 2010. Progress and challenges to control malaria in a remote area of Chittagong hill tracts, Bangladesh. Malar J 9: 156.[Crossref]
  10. Ahmed SM, Hossain S, Kabir MM, Roy S, , 2011. Free distribution of insecticidal bed nets improves possession and preferential use by households and is equitable: findings from two cross-sectional surveys in thirteen malaria endemic districts of Bangladesh. Malar J 10: 357.[Crossref]
  11. Reid H, Haque U, Clements ACA, Tatem AJ, Vallely A, Ahmed SM, Islam A, Haque R, , 2010. Mapping malaria risk in Bangladesh using Bayesian geostatistical models. Am J Trop Med Hyg 83: 861867.[Crossref]
  12. Reid H, Haque U, Roy S, Islam N, Clements AC, , 2012. Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007. Malar J 11: 170.[Crossref]
  13. Haque U, Huda M, Hossain A, Ahmed SM, Moniruzzaman M, Haque R, , 2009. Spatial malaria epidemiology in Bangladeshi highlands. Malar J 8: 185.[Crossref]
  14. Carter R, Mendis KN, Roberts D, , 2000. Spatial targeting of interventions against malaria. Bull World Health Organ 78: 14011411.
  15. Clennon JA, Kamanga A, Musapa M, Shiff C, Glass GE, , 2010. Identifying malaria vector breeding habitats with remote sensing data and terrain-based landscape indices in Zambia. Int J Health Geogr 9: 58.[Crossref]
  16. Cohen JM, Ernst KC, Lindblade KA, Vulule JM, John CC, Wilson ML, , 2010. Local topographic wetness indices predict household malaria risk better than land-use and land-cover in the western Kenya highlands. Malar J 9: 328.[Crossref]
  17. Cohen JM, Ernst KC, Lindblade KA, Vulule JM, John CC, Wilson ML, , 2008. Topography-derived wetness indices are associated with household-level malaria risk in two communities in the western Kenyan highlands. Malar J 7: 40.[Crossref]
  18. Moss WJ, Hamapumbu H, Kobayashi T, Shields T, Kamanga A, Clennon J, Mharakurwa S, Thuma PE, Glass G, , 2011. Use of remote sensing to identify spatial risk factors for malaria in a region of declining transmission: a cross-sectional and longitudinal community survey. Malar J 10: 163.[Crossref]
  19. Global Fund to Fight AIDS, Tuberculosis and Malaria, 2009. Available at: http://www.theglobalfund.org/grantdocuments/9BANM_1794_0_full.pdf.
  20. Kulldorff M, , 1997. A spatial scan statistic. Comm Statist Theory Methods 26: 14811496.[Crossref]
  21. Bousema T, Griffin JT, Sauerwein RW, Smith DL, Churcher TS, Takken W, Ghani A, Drakeley C, Gosling R, , 2012. Hitting hotspots: spatial targeting of malaria for control and elimination. PLoS Med 9: e1001165.[Crossref]
  22. World Health Organization, 2004. Global Strategic Framework for Integrated Vector Management. WHO/CDS/CPE/PVC/2004.10. Geneva: World Health Organization.
  23. Moonen B, Cohen JM, Snow RW, Slutsker L, Drakeley C, Smith DL, Abeyasinghe RR, Rodriguez MH, Maharaj R, Tanner M, Targett G, , 2010. Operational strategies to achieve and maintain malaria elimination. Lancet 376: 15921603.[Crossref]
  24. Von Seidlein L, Greenwood BM, , 2003. Mass administrations of antimalarial drugs. Trends Parasitol 19: 452460.[Crossref]
  25. Ahmed TU, , 1987. Checklist of the mosquitoes of Bangladesh. Mosq Syst 19: 187200.
  26. Elias M, Dewan ZA, Ahmed R, , 1982. Vectors of malaria in Bangladesh. J Prev Soc Med 1: 2028.
  27. Maheswary NP, Khan Z, Molla FR, Haq MI, , 1993. Incrimination of Anopheles annularis van der Wulp-1854 as an epidemic malaria vector in Bangladesh. SE Asian J Trop Med 24: 776778.
  28. Bashar K, Tuno N, Ahmed TU, Howlader AJ, , 2012. Blood-feeding patterns of Anopheles mosquitoes in a malaria-endemic area of Bangladesh. Parasit Vectors 5: 39.[Crossref]
  29. Overgaard HJ, Ekbom B, Suwonkerd W, Takagi M, , 2003. Effect of landscape structure on anopheline mosquito density and diversity in northern Thailand: implications for malaria transmission and control. Landscape Ecol 18: 605619.[Crossref]
  30. Rosenberg R, Andre RG, Ngampatom S, Hatz C, Burge R, , 1990. A stable, oligosymptomatic malaria focus in Thailand. Trans R Soc Trop Med Hyg 84: 1421.[Crossref]
  31. Dev V, , 1996. Anopheles minimus: its bionomics and role in the transmission of malaria in Assam, India. Bull World Health Organ 74: 6166.
  32. Rosenberg R, , 1982. Forest malaria in Bangladesh. III. Breeding habits of Anopheles dirus . Am J Trop Med Hyg 31: 192201.
  33. Bomblies A, , 2012. Modeling the role of rainfall patterns on seasonal malaria transmission. Clim Change 112: 673685.[Crossref]
  34. Shaman J, Stieglitz M, Stark C, Le Blancq S, Cane M, , 2002. Using a dynamic hydrology model to predict mosquito abundances in flood and swamp water. Emerg Infect Dis 8: 613.

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  • Received : 28 Jul 2012
  • Accepted : 13 Dec 2012

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