Literature DB >> 8270011

Malaria transmission rates estimated from serological data.

M N Burattini1, E Massad, F A Coutinho.   

Abstract

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.

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Year:  1993        PMID: 8270011      PMCID: PMC2271259          DOI: 10.1017/s0950268800057241

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  18 in total

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  4 in total

1.  A model for predicting the transmission rate of malaria from serological data.

Authors:  M Gatton; W Hogarth; A Saul; P Dayananda
Journal:  J Math Biol       Date:  1996       Impact factor: 2.259

2.  Malaria prevalence amongst Brazilian Indians assessed by a new mathematical model.

Authors:  M N Burattini; E Massad; F A Coutinho; R G Baruzzi
Journal:  Epidemiol Infect       Date:  1993-12       Impact factor: 2.451

3.  Forecasting versus projection models in epidemiology: the case of the SARS epidemics.

Authors:  Eduardo Massad; Marcelo N Burattini; Luis F Lopez; Francisco A B Coutinho
Journal:  Med Hypotheses       Date:  2005       Impact factor: 1.538

4.  Modeling the risk of malaria for travelers to areas with stable malaria transmission.

Authors:  Eduardo Massad; Ronald H Behrens; Marcelo N Burattini; Francisco A B Coutinho
Journal:  Malar J       Date:  2009-12-16       Impact factor: 2.979

  4 in total

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