Anticipating epidemic transitions with imperfect data.

Brett, Tobias S; O'Dea, Eamon B; Marty, Éric; Miller, Paige B; Park, Andrew W; Drake, John M; Rohani, Pejman

Brett, Tobias S; O'Dea, Eamon B; Marty, Éric; Miller, Paige B; Park, Andrew W; Drake, John M; Rohani, Pejman.

Afiliación

Brett TS; Odum School of Ecology, University of Georgia, Athens, Georgia, United States of America.
O'Dea EB; Center for the Ecology of Infectious Diseases, University of Georgia, Athens, Georgia, United States of America.
Marty É; Odum School of Ecology, University of Georgia, Athens, Georgia, United States of America.
Miller PB; Center for the Ecology of Infectious Diseases, University of Georgia, Athens, Georgia, United States of America.
Park AW; Odum School of Ecology, University of Georgia, Athens, Georgia, United States of America.
Drake JM; Odum School of Ecology, University of Georgia, Athens, Georgia, United States of America.
Rohani P; Center for the Ecology of Infectious Diseases, University of Georgia, Athens, Georgia, United States of America.

PLoS Comput Biol ; 14(6): e1006204, 2018 06.

Article en En | MEDLINE | ID: mdl-29883444

Asunto(s)

Epidemias/prevención & control; Epidemias/estadística & datos numéricos; Modelos Estadísticos; Área Bajo la Curva; Análisis por Conglomerados; Biología Computacional; Simulación por Computador; Bases de Datos Factuales; Humanos

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos / Epidemias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

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