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Lead time of early warning by wastewater surveillance for COVID-19: Geographical variations and impacting factors
Univ Petr & Energy Studies, Sch Engn, Sustainabil Cluster, Dehra Dun 248007, Uttarakhand, India..
Univ Wollongong, Sch Civil Min & Environm Engn, Wollongong, NSW, Australia.;Univ Wollongong, Illawarra Hlth & Med Res Inst IHMRI, Wollongong, NSW, Australia..ORCID iD: 0000-0001-5399-8239
Indian Inst Technol Gandhinagar, Discipline Earth Sci, Gandhinagar 382355, Gujarat, India..
Encore Insoltech Pvt Ltd, Gandhinagar 382307, Gujarat, India..
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2022 (English)In: Chemical Engineering Journal, ISSN 1385-8947, E-ISSN 1873-3212, Vol. 441, article id 135936Article, review/survey (Refereed) Published
Abstract [en]

The global data on the temporal tracking of the COVID-19 through wastewater surveillance needs to be comparatively evaluated to generate a proper and precise understanding of the robustness, advantages, and sensitivity of the wastewater-based epidemiological (WBE) approach. We reviewed the current state of knowledge based on several scientific articles pertaining to temporal variations in COVID-19 cases captured via viral RNA predictions in wastewater. This paper primarily focuses on analyzing the WBE-based temporal variation reported globally to check if the reported early warning lead-time generated through environmental surveillance is pragmatic or latent. We have compiled the geographical variations reported as lead time in various WBE reports to strike a precise correlation between COVID-19 cases and genome copies detected through wastewater surveillance, with respect to the sampling dates, separately for WASH and non-WASH countries. We highlighted sampling methods, climatic and weather conditions that significantly affected the concentration of viral SARS-CoV-2 RNA detected in wastewater, and thus the lead time reported from the various climatic zones with diverse WASH situations were different. Our major findings are: i) WBE reports around the world are not comparable, especially in terms of gene copies detected, lag-time gained between monitored RNA peak and outbreak/peak of reported case, as well as per capita RNA concentrations; ii) Varying sanitation facility and climatic conditions that impact virus degradation rate are two major interfering features limiting the comparability of WBE results, and iii) WBE is better applicable to WASH countries having well-connected sewerage system.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 441, article id 135936
Keywords [en]
SARS-CoV-2, Temporal and spatial variation, WBE, Seasonality, COVID-19
National Category
Social Work Public Health, Global Health and Social Medicine Business Administration
Identifiers
URN: urn:nbn:se:kth:diva-319148DOI: 10.1016/j.cej.2022.135936ISI: 000850349100001PubMedID: 35345777Scopus ID: 2-s2.0-85127110864OAI: oai:DiVA.org:kth-319148DiVA, id: diva2:1699577
Note

QC 20220928

Available from: 2022-09-28 Created: 2022-09-28 Last updated: 2025-02-20Bibliographically approved

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Bhattacharya, Prosun

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Jiang, GuangmingBhattacharya, ProsunNghiem, Long D.Sarkar, DibyenduSonne, Christian
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