Challenges in realising the potential of wastewater-based epidemiology to quantitatively monitor and predict the spread of disease.

Faraway, Julian; Boxall-Clasby, James; Feil, Edward J; Gibbon, Marjorie J; Hatfield, Oliver; Kasprzyk-Hordern, Barbara; Smith, Theresa

Faraway, Julian; Boxall-Clasby, James; Feil, Edward J; Gibbon, Marjorie J; Hatfield, Oliver; Kasprzyk-Hordern, Barbara; Smith, Theresa.

Afiliación

Faraway J; Department of Mathematical Sciences, University of Bath, Bath BA2 7AY, UK E-mail: jjf23@bath.ac.uk.
Boxall-Clasby J; Department of Chemistry, University of Bath, Bath BA2 7AY, UK.
Feil EJ; Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.
Gibbon MJ; Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.
Hatfield O; Institute for Mathematical Innovation, University of Bath, Bath BA2 7AY, UK.
Kasprzyk-Hordern B; Department of Chemistry, University of Bath, Bath BA2 7AY, UK.
Smith T; Department of Mathematical Sciences, University of Bath, Bath BA2 7AY, UK E-mail: jjf23@bath.ac.uk.

J Water Health ; 20(7): 1038-1050, 2022 Jul.

Article en En | MEDLINE | ID: mdl-35902986

Asunto(s)

COVID-19; Monitoreo Epidemiológico Basado en Aguas Residuales; COVID-19/epidemiología; Humanos; ARN Viral; SARS-CoV-2; Aguas Residuales

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo Epidemiológico Basado en Aguas Residuales / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: J Water Health Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido

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