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Modelling heterogeneity in malaria transmission using large sparse spatio-temporal entomological data.
Rumisha, Susan Fred; Smith, Thomas; Abdulla, Salim; Masanja, Honorath; Vounatsou, Penelope.
Afiliação
  • Rumisha SF; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland; Department Biozentrum, University of Basel, Basel, Switzerland; Department of Disease Surveillance and Geographical Information Systems, National Institute for Medical Research, Dar es Salaa
  • Smith T; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland; Department Biozentrum, University of Basel, Basel, Switzerland.
  • Abdulla S; Ifakara Health Institute, Dar es Salaam, Tanzania.
  • Masanja H; Ifakara Health Institute, Dar es Salaam, Tanzania.
  • Vounatsou P; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland; Department Biozentrum, University of Basel, Basel, Switzerland; Penelope.Vounatsou@unibas.ch.
Glob Health Action ; 7: 22682, 2014.
Article em En | MEDLINE | ID: mdl-24964782
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Malária / Anopheles Tipo de estudo: Prognostic_studies Limite: Animals / Humans País como assunto: Africa Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Malária / Anopheles Tipo de estudo: Prognostic_studies Limite: Animals / Humans País como assunto: Africa Idioma: En Ano de publicação: 2014 Tipo de documento: Article