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    McKenzie, F. Ellis Wong, Roger C. and Bossert, William H. 1998. Discrete-Event Simulation Models of Plasmodium falciparum Malaria. SIMULATION, Vol. 71, Issue. 4, p. 250.
    Ferreira, M. U. Kimura, E. A. S. Katzin, A. M. Santos-Neto, L. L. Ferrari, J. O. Villalobos, J. M. and de Carvalho, M. E. 1998. The IgG-subclass distribution of naturally acquired antibodies toPlasmodium falciparum, in relation to malaria exposure and severity. Annals of Tropical Medicine & Parasitology, Vol. 92, Issue. 3, p. 245.
    Gatton, M. Hogarth, W. Saul, A. and Dayananda, P. 1996. A model for predicting the transmission rate of malaria from serological data. Journal of Mathematical Biology, Vol. 34, Issue. 8, p. 878.
    Sampaio, M. R. Turcotte, S. Martins, V. F. Cardoso, E. M. and Burattini, M. N. 1996. Malaria in the Indian Reservation of "Vale do Javari", Brazil. Revista do Instituto de Medicina Tropical de São Paulo, Vol. 38, Issue. 1, p. 59.
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Malaria prevalence amongst Brazilian Indians assessed by a new mathematical model

  • M. N. Burattini (a1) (a2), E. Massad (a1), F. A. B. Coutinho (a3) and R. G. Baruzzi (a4)
Summary

An alternative way to estimate the endemic level of malaria amongst Brazilian indians is proposed. This is achieved by estimating the age-related “force of infection’ of malaria (the effective inoculation rate), applying a mathematical model, described elsewhere, to serological data. In addition we present a way to estimate the Basic Reproductive Rate of malaria in the same area. The results have shown a good degree of accuracy in describing the endemic pattern of malaria in the area, and also indicate some relevant aspects of its age distribution related to the design of control strategies.

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COPYRIGHT: © Cambridge University Press 1993
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Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
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