Cargando…
Wastewater-based prediction of COVID-19 cases using a highly sensitive SARS-CoV-2 RNA detection method combined with mathematical modeling
Wastewater-based epidemiology (WBE) has the potential to predict COVID-19 cases; however, reliable methods for tracking SARS-CoV-2 RNA concentrations (C(RNA)) in wastewater are lacking. In the present study, we developed a highly sensitive method (EPISENS-M) employing adsorption-extraction, followed...
Autores principales: | Ando, Hiroki, Murakami, Michio, Ahmed, Warish, Iwamoto, Ryo, Okabe, Satoshi, Kitajima, Masaaki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824953/ https://www.ncbi.nlm.nih.gov/pubmed/36867995 http://dx.doi.org/10.1016/j.envint.2023.107743 |
Ejemplares similares
-
Impact of the COVID-19 pandemic on the prevalence of influenza A and respiratory syncytial viruses elucidated by wastewater-based epidemiology
por: Ando, Hiroki, et al.
Publicado: (2023) -
The Efficient and Practical virus Identification System with ENhanced Sensitivity for Solids (EPISENS-S): A rapid and cost-effective SARS-CoV-2 RNA detection method for routine wastewater surveillance
por: Ando, Hiroki, et al.
Publicado: (2022) -
Identification of SARS-CoV-2 variants in wastewater using targeted amplicon sequencing during a low COVID-19 prevalence period in Japan
por: Iwamoto, Ryo, et al.
Publicado: (2023) -
The growing need to establish a global wastewater surveillance consortium for future pandemic preparedness
por: Murakami, Michio, et al.
Publicado: (2023) -
COVID-19 wastewater surveillance implemented in the Tokyo 2020 Olympic and Paralympic Village
por: Kitajima, Masaaki, et al.
Publicado: (2022)