title: Malaria transmission rates estimated from serological data.
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.
authors.affiliation: School of Medicine, University of São Paulo, Brazil.
authors.forename: M N
authors.initials: MN
authors.lastname: Burattini
authors.forename: E
authors.initials: E
authors.lastname: Massad
authors.forename: F A
authors.initials: FA
authors.lastname: Coutinho
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000818:Animals; D000913:Antibodies, Protozoan / Q000097:blood; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D016703:Equatorial Guinea / Q000453:epidemiology; D006801:Humans; D007223:Infant; D008288:Malaria / Q000453:epidemiology / Q000276:immunology / Q000635:transmission*; D008433:Mathematics; D008436:Mauritius / Q000453:epidemiology; D008954:Models, Biological; D010961:Plasmodium / Q000276:immunology; D015995:Prevalence
chemical_list: D000913:Antibodies, Protozoan