Lead time of early warning by wastewater surveillance for COVID-19: geographical variations and impacting factors

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dc.contributor.author Kumar, Manish
dc.contributor.author Jiang, Guangming
dc.contributor.author Thakur, Alok Kumar
dc.contributor.author Chatterjee, Shreya
dc.contributor.author Bhattacharya, Tanushree
dc.contributor.author Mohapatra, Sanjeeb
dc.contributor.author Chaminda, Tushara
dc.contributor.author Tyagi, Vinay Kumar
dc.contributor.author Vithanage, Meththika
dc.contributor.author Bhattacharya, Prosun
dc.contributor.author Nghiem, Long D.
dc.contributor.author Sarkar, Dibyendu
dc.contributor.author Sonne, Christian
dc.contributor.author Mahlknecht, Jurgen
dc.coverage.spatial United States of America
dc.date.accessioned 2022-04-19T06:30:50Z
dc.date.available 2022-04-19T06:30:50Z
dc.date.issued 2022-08
dc.identifier.citation Kumar, Manish; Jiang, Guangming; Thakur, Alok Kumar; Chatterjee, Shreya; Bhattacharya, Tanushree; Mohapatra, Sanjeeb; Chaminda, Tushara; Tyagi, Vinay Kumar; Vithanage, Meththika; Bhattacharya, Prosun; Nghiem, Long D.; Sarkar, Dibyendu; Sonne, Christian and Mahlknecht, Jurgen, "Lead time of early warning by wastewater surveillance for COVID-19: geographical variations and impacting factors", Chemical Engineering Journal, DOI: 10.1016/j.cej.2022.135936, vol. 441, Aug. 2022. en_US
dc.identifier.issn 1385-8947
dc.identifier.uri https://doi.org/10.1016/j.cej.2022.135936
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/7655
dc.description.abstract 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.
dc.description.statementofresponsibility by Manish Kumar, Guangming Jiang, Alok Kumar Thakur, Shreya Chatterjee, Tanushree Bhattacharya, Sanjeeb Mohapatra, Tushara Chaminda, Vinay Kumar Tyagi, Meththika Vithanage, Prosun Bhattacharya, Long D. Nghiem, Dibyendu Sarkar, Christian Sonne and Jurgen Mahlknecht
dc.format.extent vol. 441
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject SARS-CoV-2 en_US
dc.subject Temporal and spatial variation en_US
dc.subject WBE en_US
dc.subject Seasonality en_US
dc.subject COVID-19 en_US
dc.title Lead time of early warning by wastewater surveillance for COVID-19: geographical variations and impacting factors en_US
dc.type Article en_US
dc.relation.journal Chemical Engineering Journal


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