Article ; Online: Evaluation of wastewater-based epidemiology of COVID-19 approaches in Singapore's 'closed-system' scenario: A long-term country-wide assessment.
2023 Volume 244, Page(s) 120406
Abstract: With the COVID-19 pandemic the use of WBE to track diseases spread has rapidly evolved into a widely applied strategy worldwide. However, many of the current studies lack the necessary systematic approach and supporting quality of epidemiological data to ...
Abstract | With the COVID-19 pandemic the use of WBE to track diseases spread has rapidly evolved into a widely applied strategy worldwide. However, many of the current studies lack the necessary systematic approach and supporting quality of epidemiological data to fully evaluate the effectiveness and usefulness of such methods. Use of WBE in a very low disease prevalence setting and for long-term monitoring has yet to be validated and it is critical for its intended use as an early warning system. In this study we seek to evaluate the sensitivity of WBE approaches under low prevalence of disease and ability to provide early warning. Two monitoring scenarios were used: (i) city wide monitoring (population 5,700,000) and (ii) community/localized monitoring (population 24,000 to 240,000). Prediction of active cases by WBE using multiple linear regression shows that a multiplexed qPCR approach with three gene targets has a significant advantage over single-gene monitoring approaches, with R |
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MeSH term(s) | Humans ; Wastewater-Based Epidemiological Monitoring ; COVID-19/epidemiology ; Pandemics ; Singapore/epidemiology ; Linear Models ; RNA, Viral |
Chemical Substances | RNA, Viral |
Language | English |
Publishing date | 2023-07-25 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 202613-2 |
ISSN | 1879-2448 ; 0043-1354 |
ISSN (online) | 1879-2448 |
ISSN | 0043-1354 |
DOI | 10.1016/j.watres.2023.120406 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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