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A model for predicting the transmission rate of malaria from serological data. (English) Zbl 0858.92021
Summary: A model is developed to estimate the duration for which malaria antibody levels in the blood remain high in a closed population. This estimate can be used to calculate the transmission rate within a region, in conjunction with the serological information contained in the population. The model is used on data obtained from a study of malaria in the Philippines and shows excellent agreement. It is subsequently utilised for predictions and seems to be an appropriate vehicle for this purpose.

MSC:
92C60 Medical epidemiology
Software:
SAS
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[1] Bruce-Chawatt, L., Dodge, J., Draper, C., Topley, E. and Voller, A.: Sero-epidemiological studies on population groups previously exposed to malaria. Lancet, 512–514 (1972)
[2] Burattini, M., Massad, E. and Coutinho, F.: Malaria transmission rates estimated from serological data. Epidemiol. Infect.111, 503–523 (1993a)
[3] Burattini, M., Massad, E., Coutinho, F. and Baruzzi, B.: Malaria prevalence amongst Brazilian Indians assessed by a new mathematical model. Epidemiol. Infect.111, 525–537 (1993b)
[4] Cox, D. and Oakes, D.: Analysis of Survival Data, UK: Chapman and Hall (1984)
[5] Diggs, C. and Sadun, E.: Serological cross-reactivity between Plasmodium vivax and Plasmodium falciparum as determined by a modified fluorescent antibody test. Experimental Parasitology16, 217–233, (1965)
[6] Draper, C. and Voller, A.: The epidemiological interpretation of serological data in malaria. Am. J. Trop. Med. Hyg,21:5, 696–703 (1972)
[7] Gatton, M.: Mathematical Modelling of the Dynamics of Malaria Antibody Levels in the Philippines. Honours Thesis, Griffith Uni., Aust. (1993)
[8] Halloran, M. and Struchiner, C.: Modelling transmission dynamics of stage-specific malaria vaccines. Parasitology Today,8:3, 77–85 (1992)
[9] Lee, E.: Statistical Methods for Survival Data Analysis, USA: Wiley (1992)
[10] McWilson, W., Collins, W., Jeffery, G. and Shinner, J.: The sero epidemiology of malaria in Middle America II; Studies on the Pacific Coast of Costa Rica. Am. J. Trop. Med. Hyg.24:5, 749–754 (1975)
[11] Molineaux, L. and Gramiccia, G.: The Garki Project: Research on the Epidemiology and Control of Malaria in the Sudan Savanna of West Africa, Chap 10: WHO (1980)
[12] SAS Institute Inc.: SAS/STATTm Guide for Personal Computers, Version 6 Edition. USA: SAS Institute INC. (1987)
[13] van Druten, J. and Meuwissen, J.: Models for long term retrospective analysis in seroepidemiology. World Health Organization Document WHO/MAL/81.970 (1981)
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