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Modelling of malaria risk, rates, and trends: A spatiotemporal approach for identifying and targeting sub-national areas of high and low burden.
Lubinda, Jailos; Bi, Yaxin; Hamainza, Busiku; Haque, Ubydul; Moore, Adrian J.
Afiliação
  • Lubinda J; School of Geography and Environmental Sciences, Ulster University, Coleraine, United Kingdom.
  • Bi Y; School of Computing, Engineering and Intelligent Systems, Ulster University, Londonderry, United Kingdom.
  • Hamainza B; School of Computing, Ulster University, Newtownabbey, United Kingdom.
  • Haque U; Ministry of Health, National Malaria Elimination Centre, Lusaka, Zambia.
  • Moore AJ; Department of Biostatistics and Epidemiology, University of North Texas Health Science Centre, Fort Worth, Texas, United States of America.
PLoS Comput Biol ; 17(3): e1008669, 2021 03.
Article em En | MEDLINE | ID: mdl-33647029
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Malária / Modelos Biológicos Tipo de estudo: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Humans / Infant / Newborn País como assunto: Africa Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Malária / Modelos Biológicos Tipo de estudo: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Humans / Infant / Newborn País como assunto: Africa Idioma: En Ano de publicação: 2021 Tipo de documento: Article