Wastewater-Based Epidemiology for Cost-Effective Mass Surveillance of COVID-19 in Low- and Middle-Income Countries: Challenges and Opportunities

Shrestha, Sadhana, Yoshinaga, Emi, Chapagain, Saroj, Mohan, Geetha, Gasparatos, Alexandros and Fukushi, Kensuke, (2021). Wastewater-Based Epidemiology for Cost-Effective Mass Surveillance of COVID-19 in Low- and Middle-Income Countries: Challenges and Opportunities. Water, 13(20), 1-14

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  • Sub-type Journal article
    Author Shrestha, Sadhana
    Yoshinaga, Emi
    Chapagain, Saroj
    Mohan, Geetha
    Gasparatos, Alexandros
    Fukushi, Kensuke
    Title Wastewater-Based Epidemiology for Cost-Effective Mass Surveillance of COVID-19 in Low- and Middle-Income Countries: Challenges and Opportunities
    Appearing in Water
    Volume 13
    Issue No. 20
    Publication Date 2021-10-15
    Place of Publication Basel
    Publisher MDPI
    Start page 1
    End page 14
    Language eng
    Abstract Wastewater-based epidemiology (WBE) is an approach that can be used to estimate COVID-19 prevalence in the population by detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater. As the WBE approach uses pooled samples from the study population, it is an inexpensive and non-invasive mass surveillance method compared to individual testing. Thus, it offers a good complement in low- and middle-income countries (LMICs) facing high costs of testing or social stigmatization, and it has a huge potential to monitor SARS-CoV-2 and its variants to curb the global COVID-19 pandemic. The aim of this review is to systematize the current evidence about the application of the WBE approach in mass surveillance of COVID-19 infection in LMICs, as well as its future potential.
    UNBIS Thesaurus POLICY-MAKING
    Keyword Wastewater-based epidemiology
    SARS-CoV-2 variants
    Wastewater management
    Mass surveillance
    Poor sanitation coverage
    Copyright Holder The Authors
    Copyright Year 2021
    Copyright type Creative commons
    DOI https://doi.org/10.3390/w13202897
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    Created: Wed, 20 Apr 2022, 18:17:14 JST by Hanna Takemoto on behalf of UNU IAS