A nationwide indicator to smooth and normalize heterogeneous SARS-CoV-2 RNA data in wastewater

Since many infected people experience no or few symptoms, the SARS-CoV-2 epidemic is frequently monitored through massive virus testing of the population, an approach that may be biased and may be difficult to sustain in low-income countries. Since SARS-CoV-2 RNA can be detected in stool samples, qu...

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Autores principales:	Nicolas Cluzel, Marie Courbariaux, Siyun Wang, Laurent Moulin, Sébastien Wurtzer, Isabelle Bertrand, Karine Laurent, Patrick Monfort, Christophe Gantzer, Soizick Le Guyader, Mickaël Boni, Jean-Marie Mouchel, Vincent Maréchal, Grégory Nuel, Yvon Maday
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Wastewater-based epidemiology (WBE) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Coronavirus infectious disease 19 (COVID-19) Mathematical modeling Correlation Sampling frequency Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/1f916af45125462bbbbacba611333e11
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A nationwide indicator to smooth and normalize heterogeneous SARS-CoV-2 RNA data in wastewater

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