Estimating dengue transmission intensity from serological data: A comparative analysis using mixture and catalytic models.

Cox, Victoria; O'Driscoll, Megan; Imai, Natsuko; Prayitno, Ari; Hadinegoro, Sri Rezeki; Taurel, Anne-Frieda; Coudeville, Laurent; Dorigatti, Ilaria

Cox, Victoria; O'Driscoll, Megan; Imai, Natsuko; Prayitno, Ari; Hadinegoro, Sri Rezeki; Taurel, Anne-Frieda; Coudeville, Laurent; Dorigatti, Ilaria.

Afiliación

Cox V; MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics, School of Public Health, Imperial College London, London, United Kingdom.
O'Driscoll M; Department of Genetics, University of Cambridge, Cambridge, United Kingdom.
Imai N; MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics, School of Public Health, Imperial College London, London, United Kingdom.
Prayitno A; Department of Child Health, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Hadinegoro SR; Department of Child Health, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Taurel AF; Sanofi Pasteur, Singapore.
Coudeville L; Sanofi Pasteur, Lyon, France.
Dorigatti I; MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics, School of Public Health, Imperial College London, London, United Kingdom.

PLoS Negl Trop Dis ; 16(7): e0010592, 2022 07.

Article en En | MEDLINE | ID: mdl-35816508

Asunto(s)

Dengue; Humanos; Indonesia/epidemiología; Estudios Seroepidemiológicos; Vietnam/epidemiología

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Dengue Límite: Humans País/Región como asunto: Asia Idioma: En Revista: PLoS Negl Trop Dis Asunto de la revista: MEDICINA TROPICAL Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

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