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Malaria transmission rates estimated from serological data

Published online by Cambridge University Press:  15 May 2009

M. N. Burattini
Affiliation:
Discipline of Medical Informatics, School of Medicine, the University of São Paulo, Av. Dr. Arnaldo 455, São Paulo, CEP 01246–903, Brazil and LIM 01, HCFMUSP, São Paulo, Brazil Discipline of Infectious and Parasitic Diseases, Escola Paulista de Medicina
E. Massad
Affiliation:
Discipline of Medical Informatics, School of Medicine, the University of São Paulo, Av. Dr. Arnaldo 455, São Paulo, CEP 01246–903, Brazil and LIM 01, HCFMUSP, São Paulo, Brazil
F. A. B. Coutinho
Affiliation:
Institute of Physics of the University of São Paulo, CP 20516, 01498, São Paulo, Brazil
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Summary

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A mathematical model was used to estimate malaria transmission rates based on serological data. The model is minimally stochastic and assumes an age-dependent force of infection for malaria. The transmission rates estimated were applied to a simple compartmental model in order to mimic the malaria transmission.

The model has shown a good retrieving capacity for serological and parasite prevalence data.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1993

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