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231226s2022 xx |||||o 00| ||eng c |
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|a 10.1016/j.cej.2022.135936
|2 doi
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|a pubmed25n1128.xml
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|a (NLM)35345777
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
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|a Kumar, Manish
|e verfasserin
|4 aut
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| 245 |
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|a Lead time of early warning by wastewater surveillance for COVID-19
|b Geographical variations and impacting factors
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Revised 11.09.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Crown Copyright © 2022 Published by Elsevier B.V. All rights reserved.
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|a 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
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|a Journal Article
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|a Review
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|a COVID-19
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|a SARS-CoV-2
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|a Seasonality
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|a Temporal and spatial variation
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| 650 |
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|a WBE
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|a Jiang, Guangming
|e verfasserin
|4 aut
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|a Kumar Thakur, Alok
|e verfasserin
|4 aut
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|a Chatterjee, Shreya
|e verfasserin
|4 aut
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|a Bhattacharya, Tanushree
|e verfasserin
|4 aut
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| 700 |
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|a Mohapatra, Sanjeeb
|e verfasserin
|4 aut
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|a Chaminda, Tushara
|e verfasserin
|4 aut
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|a Kumar Tyagi, Vinay
|e verfasserin
|4 aut
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|a Vithanage, Meththika
|e verfasserin
|4 aut
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|a Bhattacharya, Prosun
|e verfasserin
|4 aut
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|a Nghiem, Long D
|e verfasserin
|4 aut
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|a Sarkar, Dibyendu
|e verfasserin
|4 aut
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|a Sonne, Christian
|e verfasserin
|4 aut
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|a Mahlknecht, Jürgen
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Chemical engineering journal (Lausanne, Switzerland : 1996)
|d 1999
|g 441(2022) vom: 01. Aug., Seite 135936
|w (DE-627)NLM098273531
|x 1385-8947
|7 nnas
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| 773 |
1 |
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|g volume:441
|g year:2022
|g day:01
|g month:08
|g pages:135936
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| 856 |
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|u http://dx.doi.org/10.1016/j.cej.2022.135936
|3 Volltext
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