Elucidating user behaviours in a digital health surveillance system to correct prevalence estimates.

Liu, Dennis; Mitchell, Lewis; Cope, Robert C; Carlson, Sandra J; Ross, Joshua V

Liu, Dennis; Mitchell, Lewis; Cope, Robert C; Carlson, Sandra J; Ross, Joshua V.

Afiliación

Liu D; School of Mathematical Sciences, The University of Adelaide, North Terrace, Adelaide, SA 5015, Australia; ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Australia. Electronic address: dennis.liu01@adelaide.edu.au.
Mitchell L; School of Mathematical Sciences, The University of Adelaide, North Terrace, Adelaide, SA 5015, Australia; ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Australia.
Cope RC; Biological Data Science Institute, The Australian National University, Canberra, ACT 2601, Australia.
Carlson SJ; Hunter New England Population Health, Wallsend, NSW 2287, Australia.
Ross JV; School of Mathematical Sciences, The University of Adelaide, North Terrace, Adelaide, SA 5015, Australia; ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Australia.

Epidemics ; 33: 100404, 2020 12.

Article en En | MEDLINE | ID: mdl-33002805

Asunto(s)

Monitoreo Epidemiológico; Australia/epidemiología; Teorema de Bayes; Humanos; Gripe Humana/epidemiología; Prevalencia; Salud Pública

Palabras clave

Bayesian statistics; Digital data; Epidemiology; Human behaviour

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Monitoreo Epidemiológico Tipo de estudio: Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans País/Región como asunto: Oceania Idioma: En Revista: Epidemics Año: 2020 Tipo del documento: Article

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