Analysis insights to support the use of wastewater and environmental surveillance data for infectious diseases and pandemic preparedness
Kathleen O’Reilly, León Danon(Turing Institute), Zinhle E. Mthombothi(Stellenbosch University), Kata Farkas(Bangor University), Matthew J. Wade(UK Health Security Agency), Jeremy Bingham(Stellenbosch University), CS Brown(Public Health England), Adrian Lison(SIB Swiss Institute of Bioinformatics), Fabian Amman(Austrian Academy of Sciences), James D Munday(Board of the Swiss Federal Institutes of Technology), Rowland R. Kao(Roslin Institute)
Cited by 7
Related Papers
Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study
|The Lancet Global Health|2020|1.2k
Wastewater-Based Epidemiology: Global Collaborative to Maximize Contributions in the Fight Against COVID-19
|Environmental Science & Technology|2020|470
Telomeres shorten more slowly in long-lived birds and mammals than in short–lived ones
|Proceedings of the Royal Society B Biological Sciences|2003|288
Viral variant-resolved wastewater surveillance of SARS-CoV-2 at national scale
|Nature Biotechnology|2022|202
Viral indicators for tracking domestic wastewater contamination in the aquatic environment
|Water Research|2020|172