Predictors of local malaria outbreaks: An approach to the development of an early warning system in Colombia

Memorias do Instituto Oswaldo Cruz

Volumn 106, Issue SUPPL. 1, 2011, Pages 107-113

  Mateus, Julio César ^a,b,d   Carrasquilla, Gabriel ^c,d  

^a Fundacion FES Social   (Colombia)

^b UNIVERSIDAD DEL VALLE   (Colombia)

^c HOSPITAL UNIVERSITARIO FUNDACIÓN SANTA FE DE BOGOTÁ   (Colombia)

^d Centro Latino Americano de Investigacion en Malaria   (Colombia)

Author keywords

Ecological analysis; Forecast; Malaria; Municipal outbreaks; Public health surveillance; Risk factor

Indexed keywords

EID: 80051763585     PISSN: 00740276     EISSN: 16788060     Source Type: Journal    
DOI: 10.1590/S0074-02762011000900014     Document Type: Article

References (38)

1. Baird JK 1995. Host age as a determinant of naturally acquired immunity to Plasmodium falciparum. Parasitol Today 11: 105-111.
2. Bouma MJ, Dye C 1997. Cycles of malaria associated with El Nino in Venezuela. JAMA 278: 1772-1774.
3. Bouma MJ, Poveda G, Rojas W, Chavasse D, Quiñones M, Cox J, Patz J 1997. Predicting high-risk years for malaria in Colombia using parameters of El Niño Southern oscillation. Trop Med Int Health 2: 1122-1127.
4. Camargo LM, dal Colletto GM, Ferreira MU, Gurgel Sde M, Escobar AL, Marques A, Krieger H, Camargo EP, da Silva LH 1996. Hypoendemic malaria in Rondonia (Brazil, western Amazon region): seasonal variation and risk groups in an urban locality. Am J Trop Med Hyg 55: 32-38.
5. Chang MS, Hii J, Buttner P, Mansoor F 1997. Changes in abundance and behaviour of vector mosquitoes induced by land use during the development of an oil palm plantation in Sarawak. Trans R Soc Trop Med Hyg 91: 382-386.
6. Chaves LF, Pascual M 2007. Comparing models for early warning systems of neglected tropical diseases. PLoS Negl Trop Dis 1: e33.
7. DANE - Departamento Administrativo Nacional de Estadística 1985. Metodología de la pobreza en Colombia, Bogotá, 20 pp.
8. DANE - Departamento Administrativo Nacional de Estadística 1996. Resumen Nacional Censo 1993. Available from: dane.gov.co/index.php?Itemid=849&id=86&option=com_content&task=section#
9. Fleiss J 1981. Statistical methods for rates and proportions, 2nd ed., John Willey and Sons, New York, p. 138-159.
10. Fletcher R, Fletcher S 2005. Diagnosis. In: Clinical epidemiology: the essentials, 4th ed., Lippincott Williams & Wilkins, Philadelphia, p. 35-56.
11. Gallup JL, Sachs JD 2001. The economic burden of malaria. Am J Trop Med Hyg 64: 85-96.
12. Gomez-Elipe A, Otero A, van Herp M, Aguirre-Jaime A 2007. Forecasting malaria incidence based on monthly case reports and environmental factors in Karuzi, Burundi, 1997-2003. Malar J 6: 129.
13. Gonzalez JM, Olano V, Vergara J, Arevalo-Herrera M, Carrasquilla G, Herrera S, Lopez JA 1997. Unstable, low-level transmission of malaria on the Colombian Pacific coast. Ann Trop Med Parasitol 91: 349-358.
14. Guerra CA, Gikandi PW, Tatem AJ, Noor AM, Smith DL, Hay SI, Snow RW 2008. The limits and intensity of Plasmodium falciparum transmission: implications for malaria control and elimination worldwide. PLoS Med 5: e38.
15. Hay SI, Snow RW, Rogers DJ 1998. Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data. Trans R Soc Trop Med Hyg 92: 12-20.
16. Hosmer D, Lemeshow S 1989. Applied logistic regression, John Wiley & Sons, New York, 150 pp.
17. IGAC - Instituto Geográfico Agustín Codazzi 1996. Diccionario geográfico de Colombia, 3rd ed., Ministerio de Hacienda y Crédito Público de Colombia, Bogotá, 2524 pp.
18. Kleinschmidt I, Bagayoko M, Clarke GP, Craig M, Le Sueur D 2000. A spatial statistical approach to malaria mapping. Int J Epidemiol 29: 355-361.
19. Kleinschmidt I, Sharp BL, Clarke GPY, Curtis B, Fraser C 2001. Use of generalized linear mixed models in the spatial analysis of small-area malaria incidence rates in Kwazulu Natal, South Africa. Am J Epidemiol 153: 1213-1221.
20. Lemeshow S, Hosmer DW Jr 1982. A review of goodness-of-fit statistics for use in the development of logistic regression models. Am J Epidemiol 115: 92-106.
21. Lindsay SW, Martens WJ 1998. Malaria in the African highlands: past, present and future. Bull World Health Organ 76: 33-45.
22. Loevinsohn ME 1994. Climatic warming and increased malaria incidence in Rwanda. Lancet 343: 714-718.
23. Lora E 2005. Índices de precios y cantidades. In: Técnicas de medi-ción económica: Metodologia y aplicaciones en Colombia, 3rd ed., Alfaomega Grupo Editor, Bogotá, p. 63-103.
24. Matola YG, White GB, Magayuka SA 1987. The changed pattern of malaria endemicity and transmission at Amani in the eastern Usambara mountains, north-eastern Tanzania. J Trop Med Hyg 90: 127-134.
25. Mauny F, Viel JF, Handschumacher P, Sellin B 2004. Multilevel modelling and malaria: a new method for an old disease. Int J Epidemiol 33: 1337-1344.
26. Méndez F, Carrasquilla JG 1995. Epidemiología de la malaria en el área urbana de Buenaventura: análisis de la ocurrencia en el periodo 1987-1993. Colomb Med 26: 77-85.
27. Morabia A 1996. From disease surveillance to the surveillance of risk factors. Am J Public Health 86: 625-627.
28. Morgenstern H 2008. Ecologic studies. In K Rothman, S Greenland, T Lash, Modern epidemiology, 3rd ed., Lippincott Williams & Wilkins, Philadelphia, p. 511-531.
29. Najera J, Koumetsov R, Dellacollette C 1998. Malaria epidemics: detection and control, forecasting and prevention, WHO, Geneve, 87 pp.
30. Patz J 2005. Satellite remote sensing can improve chances of achieving sustainable health. Environ Health Perspect 113: A84-85.
31. Rehle T, Lazzari S, Dallabetta G, Asamoah-Odei E 2004. Second-generation HIV surveillance: better data for decision-making. Bull World Health Organ 82: 121-127.
32. Ruiz D, Poveda G, Velez ID, Quinones ML, Rua GL, Velasquez LE, Zuluaga JS 2006. Modelling entomological-climatic interactions of Plasmodium falciparum malaria transmission in two Colombian endemic-regions: contributions to a National Malaria Early Warning System. Malar J 5: 66.
33. Singh N, Singh OP, Sharma VP 1996. Dynamics of malaria transmission in forested and deforested regions of Mandla district, central India (Madhya Pradesh). J Am Mosq Control Assoc 12: 225-234.
34. Szklo M, Nieto F 2007a. Defining and assessing heterogeneity of effects: interaction. In M Szklo, F Nieto, Epidemiology. Beyond the basics, 2nd ed., Jones and Bartlett Publishers, Boston, p. 183-223.
35. Szklo M, Nieto F 2007b. Identifying noncausal associations: confounding. In M Szklo, F Nieto, Epidemiology. Beyond the basics, 2nd ed., Jones and Bartlett Publishers, Boston, p. 151-181.
36. Teutsch SM, Churchill RE 2000. Principles and practice of public health surveillance, 2nd ed., Oxford University Press, Oxford, 406 pp.
37. Thompson R, Begtrup K, Cuamba N, Dgedge M, Mendis C, Gamage-Mendis A, Enosse SM, Barreto J, Sinden RE, Hogh B 1997. The Matola malaria project: a temporal and spatial study of malaria transmission and disease in a suburban area of Maputo, Mozambique. Am J Trop Med Hyg 57: 550-559.
38. Woolhouse ME 1998. Patterns in parasite epidemiology: the peak shift. Parasitol Today 14: 428-434.