Evidence map›Paper›PMID 35345777›Full record

ReviewChemical engineering journal (Lausanne, Switzerland : 1996)2022

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

Manish Kumar, Guangming Jiang, Alok Kumar Thakur, Shreya Chatterjee, Tanushree Bhattacharya, Sanjeeb Mohapatra, Tushara Chaminda, Vinay Kumar Tyagi, Meththika Vithanage, Prosun Bhattacharya and 4 more

Abstract readReview
In one paragraph

Review in Chemical engineering journal (Lausanne, Switzerland : 1996), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Economic evaluation of wastewater surveillance in Ontario, Canada, using COVID-19 as a case study.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Manish KumarSustainability Cluster, School of Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand 248007, India.
Guangming JiangSchool of Civil, Mining and Environmental Engineering, University of Wollongong, Australia.
Alok Kumar ThakurDiscipline of Earth Science, Indian Institute of Technology Gandhinagar, Gujarat 382 355, India.
Shreya ChatterjeeEncore Insoltech Pvt Ltd, Randesan, Gandhinagar, Gujarat 382 307, India.
Tanushree BhattacharyaDepartment of Civil and Environmental Engineering, Birla Institute of Technology, Mesra 835215, India.
Sanjeeb MohapatraNUS Environmental Research Institute, National University of Singapore, Singapore.
Tushara ChamindaDepartment of Civil and Environmental Engineering, University of Ruhuna, Sri Lanka.
Vinay Kumar TyagiEnvironmental BioTechnology Group (EBiTG), Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India.
Meththika VithanageSustainability Cluster, School of Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand 248007, India.
Prosun BhattacharyaCOVID-19 Research@KTH, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology,SE-100 44, Stockholm, Sweden.
Long D NghiemCentre for Technology in Water & Wastewater, University of Technology Sydney, Ultimo 2007, Australia.
Dibyendu SarkarDepartment of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, NJ 07030, USA.
Christian SonneSustainability Cluster, School of Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand 248007, India.
Jürgen MahlknechtEscuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Campus Monterey, Monterrey 64849, Nuevo Leon, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19SARS-CoV-2SeasonalityTemporal and spatial variationWBE

Identifiers

PMID35345777
PMCPMC8942437

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.