参考文献:1. 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: pp. e1001165 CrossRef 2. Ghebreyesus, TA, Haile, M, Witten, KH, Getachew, A, Yohannes, M, Lindsay, SW, Byass, P (2000) Household risk factors for malaria among children in the Ethiopian highlands. Trans R Soc Trop Med Hyg 94: pp. 17-21 CrossRef 3. Gamage-Mendis, AC, Carter, R, Mendis, C, De Zoysa, AP, Herath, PR, Mendis, KN (1991) Clustering of malaria infections within an endemic population: risk of malaria associated with the type of housing construction. Am J Trop Med Hyg 45: pp. 77-85 4. Lindsay, SW, Jawara, M, Paine, K, Pinder, M, Walraven, GEL, Emerson, PM (2003) Changes in house design reduce exposure to malaria mosquitoes. Trop Med Int Health 8: pp. 512-517 CrossRef 5. van der Hoek, W, Konradsen, F, Dijkstra, DS, Amerasinghe, PH, Amerasinghe, FP (1998) Risk factors for malaria: a microepidemiological study in a village in Sri Lanka. Trans R Soc Trop Med Hyg 92: pp. 265-269 CrossRef 6. Guthmann, JP, Hall, AJ, Jaffar, S, Palacios, A, Lines, J, Llanos-Cuentas, A (2001) Environmental risk factors for clinical malaria: a case鈥揷ontrol study in the Grau region of Peru. Trans R Soc Trop Med Hyg 95: pp. 577-583 CrossRef 7. Thomson, MC, D鈥橝lessandro, U, Bennett, S, Connor, SJ, Langerock, P, Jawara, M, Todd, J, Greenwood, BM (1994) Malaria prevalence is inversely related to vector density in The Gambia, West Africa. Trans R Soc Trop Med Hyg 88: pp. 638-643 CrossRef 8. Clarke, SE, Bogh, C, Brown, RC, Walraven, GEL, Thomas, CJ, Lindsay, SW (2002) Risk of malaria attacks in Gambian children is greater away from malaria vector breeding sites. Trans R Soc Trop Med Hyg 96: pp. 499-506 CrossRef 9. Trape, JF, Lefebvre-Zante, E, Legros, F, Ndiaye, G, Bouganali, H, Druilhe, P, Salem, G (1992) Vector density gradients and the epidemiology of urban malaria in Dakar, Senegal. Am J Trop Med Hyg 47: pp. 181-189 10. Mosha, JF, Sturrock, HJ, Greenwood, B, Sutherland, CJ, Gadalla, NB, Atwal, S, Hemelaar, S, Brown, JM, Drakeley, C, Kibiki, G, Bousema, T, Chandramohan, D, Gosling, RD (2014) Hot spot or not: a comparison of spatial statistical methods to predict prospective malaria infections. Malar J 13: pp. 53 CrossRef Tanzania HIV/AIDS and Malaria Indicator Survey. 11. Kulldorff, M (2010) SaTScan -Software for the spatial, temporal, and space-time scan statistics. Harvard Medical School and Harvard PilgrimHealth Care, Boston 12. Lansang, MA, Belizario, VY, Bustos, MD, Saul, A, Aguirre, A (1997) Risk factors for infection with malaria in a low endemic community in Bataan, the Philippines. Acta Trop 63: pp. 257-265 CrossRef 13. Smith, T, Charlwood, JD, Kihonda, J, Mwankusye, S, Billingsley, P, Meuwissen, J, Lyimo, E, Takken, W, Teuscher, T, Tanner, M (1993) Absence of seasonal variation in malaria parasitaemia in an area of intense seasonal transmission. Acta Trop 54: pp. 55-72 CrossRef World malaria report. World Health Organization, Geneva 14. Winskill, P, Rowland, M, Mtove, G, Malima, RC, Kirby, MJ (2011) Malaria risk factors in north-east Tanzania. Malar J 10: pp. 98 CrossRef 15. Smith, T, Hii, JL, Genton, B, Muller, I, Booth, M, Gibson, N, Narara, A, Alpers, MP (2001) Associations of peak shifts in age鈥損revalence for human malarias with bednet coverage. Trans R Soc Trop Med Hyg 95: pp. 1-6 CrossRef 16. Ceesay, SJ, Casals-Pascual, C, Erskine, J, Anya, SE, Duah, NO, Fulford, AJ, Sesay, SS, Abubakar, I, Dunyo, S, Sey, O, Palmer, A, Fofana, M, Corrah, T, Bojang, KA, Whittle, HC, Greenwood, BM, Conway, DJ (2008) Changes in malaria indices between 1999 and 2007 in The Gambia: a retrospective analysis. Lancet 372: pp. 1545-1554 CrossRef 17. Lowassa, A, Mazigo, HD, Mahande, AM, Mwang鈥檕nde, BJ, Msangi, S, Mahande, MJ, Kimaro, EE, Elisante, E, Kweka, EJ (2012) Social economic factors and malaria transmission in Lower Moshi, northern Tanzania. Parasit Vectors 5: pp. 129 CrossRef 18. Balls, MJ, Bodker, R, Thomas, CJ, Kisinza, W, Msangeni, HA, Lindsay, SW (2004) Effect of topography on the risk of malaria infection in the Usambara Mountains, Tanzania. Trans R Soc Trop Med Hyg 98: pp. 400-408 CrossRef 19. Oesterholt, MJAM, Bousema, JT, Mwerinde, OK, Harris, C, Lushino, P, Masokoto, A, Mwerinde, H, Mosha, FW, Drakeley, CJ (2006) Spatial and temporal variation in malaria transmission in a low endemicity area in northern Tanzania. Malar J 5: pp. 98 CrossRef 20. Alemu, A, Tsegaye, W, Golassa, L, Abebe, G (2011) Urban malaria and associated risk factors in Jimma town, south-west Ethiopia. Malar J 10: pp. 173 CrossRef 21. Staedke, SG, Nottingham, EW, Cox, J, Kamya, MR, Rosenthal, PJ, Dorsey, G (2003) Proximity to mosquito breeding sites as a risk factor for clinical malaria episodes in an urban cohort of Ugandan children. Am J Trop Med Hyg 69: pp. 244-246 22. Machault, V, Gadiaga, L, Vignolles, C, Jarjaval, F, Bouzid, S, Sokhna, C, Lacaux, JP, Trape, JF, Rogier, C, Pages, F (2009) Highly focused anopheline breeding sites and malaria transmission in Dakar. Malar J 8: pp. 138 CrossRef 23. Kabula, B, Tungu, P, Matowo, J, Kitau, J, Mweya, C, Emidi, B, Masue, D, Sindato, C, Malima, R, Minja, J, Msangi, S, Njau, R, Mosha, F, Magesa, S, Kisinza, W (2012) Susceptibility status of malaria vectors to insecticides commonly used for malaria control in Tanzania. Trop Med Int Health 17: pp. 742-750 CrossRef 24. Yohannes, M, Haile, M, Ghebreyesus, TA, Witten, KH, Getachew, A, Byass, P, Lindsay, SW (2005) Can source reduction of mosquito larval habitat reduce malaria transmission in Tigray, Ethiopia?. Trop Med Int Health 10: pp. 1274-1285 CrossRef 25. Walker, K, Lynch, M (2007) Contributions of Anopheles larval control to malaria suppression in tropical Africa: review of achievements and potential. Med Vet Entomol 21: pp. 2-21 CrossRef 26. Wolff, CG, Schroeder, DG, Young, MW (2001) Effect of improved housing on illness in children under 5聽years old in northern Malawi: cross sectional study. BMJ 322: pp. 1209-1212 CrossRef 27. Hiscox, A, Khammanithong, P, Kaul, S, Sananikhom, P, Luthi, R, Hill, N, Brey, PT, Lindsay, SW (2013) Risk factors for mosquito house entry in the Lao PDR. PLoS One 8: pp. e62769 CrossRef 28. Coleman, M, Coleman, M, Mabaso, ML, Mabuza, AM, Kok, G, Coetzee, M, Durrheim, DN (2010) Household and microeconomic factors associated with malaria in Mpumalanga, South Africa. Trans R Soc Trop Med Hyg 104: pp. 143-147 CrossRef 29. Ye, Y, Hoshen, M, Louis, V, Seraphin, S, Traore, I, Sauerborn, R (2006) Housing conditions and Plasmodium falciparum infection: protective effect of iron-sheet roofed houses. Malar J 5: pp. 8 CrossRef 30. Lwetoijera, DW, Kiware, SS, Mageni, ZD, Dongus, S, Harris, C, Devine, GJ, Majambere, S (2013) A need for better housing to further reduce indoor malaria transmission in areas with high bed net coverage. Parasit Vectors 6: pp. 57 CrossRef 31. Kirby, MJ, Green, C, Milligan, PM, Sismanidis, C, Jasseh, M, Conway, DJ, Lindsay, SW (2008) Risk factors for house-entry by malaria vectors in a rural town and satellite villages in The Gambia. Malar J 7: pp. 2 CrossRef 32. Rulisa, S, Kateera, F, Bizimana, JP, Agaba, S, Dukuzumuremyi, J, Baas, L, de Dieu, HJ, Mens, PF, Boer, KR, de Vries, PJ (2013) Malaria prevalence, spatial clustering and risk factors in a low endemic area of Eastern Rwanda: a cross sectional study. PLoS One 8: pp. e69443 CrossRef
Background As malaria transmission declines, continued improvements of prevention and control interventions will increasingly rely on accurate knowledge of risk factors and an ability to define high-risk areas and populations at risk for focal targeting of interventions. This paper explores the independent association between living in a hotspot and prospective risk of malaria infection. Methods Malaria infection status defined by nPCR and AMA-1 status in year 1 were used to define geographic hotspots using two geospatial statistical methods (SaTScan and Kernel density smoothing). Other malaria risk factors for malaria infection were explored by fitting a multivariable model. Results This study demonstrated that residing in infection hotspot of malaria transmission is an independent predictor of malaria infection in the future. Conclusion It is likely that targeting such hotspots with better coverage and improved malaria control strategies will result in more cost-efficient uses of resources to move towards malaria elimination.