Evidence map›Paper›PMID 36265620›Full record

ArticleThe Science of the total environment2023

A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity.

Md Aminul Islam, Md Arifur Rahman, Md Jakariya, Newaz Mohammed Bahadur, Foysal Hossen, Sanjoy Kumar Mukharjee, Mohammad Salim Hossain, Atkeeya Tasneem, Md Atiqul Haque, Francesco Sera and 11 more

Abstract read
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Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Correlation of Dengue and Meteorological Factors in Bangladesh: A Public Health Concern.International journal of environmental research and public health · 2023
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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

21 authors.

Md Aminul IslamCOVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh; Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, Bangladesh.
Md Arifur RahmanCOVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Md JakariyaDepartment of Environmental Science and Management, North South University, Bashundhara, Dhaka 1229, Bangladesh.
Newaz Mohammed BahadurDepartment of Applied Chemistry and Chemical Engineering, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Foysal HossenCOVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Sanjoy Kumar MukharjeeCOVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Mohammad Salim HossainDepartment of Pharmacy, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Atkeeya TasneemDepartment of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Md Atiqul HaqueKey Lab of Animal Epidemiology and Zoonoses of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China; Department of Microbiology, Faculty of Veterinary and Animal Science, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh.
Francesco SeraDepartment of Statistics, Informatics, Applications, University of Florence, Florence, Italy; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Iqbal Kabir JahidDepartment of Microbiology, Jashore University of Science and Technology, Jashore 7408, Bangladesh.
Tanvir AhmedDepartment of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.
Mohammad Nayeem HasanDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Md Tahmidul IslamWater Aid Bangladesh, Dhaka 1213, Bangladesh.
Amzad HossainCOVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Ruhul AminCOVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Ananda TiwariDepartment of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland; Department of Health Security, Expert Microbiology Research Unit, Finnish Institute for Health and Welfare, Finland.
Md Didar-Ul-AlamCOVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Kuldeep DhamaDivision of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh 243122, India.
Prosun BhattacharyaCOVID-19 Research@KTH, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Teknikringen 10B, SE 10044 Stockholm, Sweden. Electronic address: prosun@kth.se.
Firoz AhmedCOVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater based epidemiology (WBE) is an important tool to fight against COVID-19 as it provides insights into the health status of the targeted population from a small single house to a large municipality in a cost-effective, rapid, and non-invasive way. The implementation of wastewater based surveillance (WBS) could reduce the burden on the public health system, management of pandemics, help to make informed decisions, and protect public health. In this study, a house with COVID-19 patients was targeted for monitoring the prevalence of SARS-CoV-2 genetic markers in wastewater samples (WS) with clinical specimens (CS) for a period of 30 days. RT-qPCR technique was employed to target nonstructural (ORF1ab) and structural-nucleocapsid (N) protein genes of SARS-CoV-2, according to a validated experimental protocol. Physiological, environmental, and biological parameters were also measured following the American Public Health Association (APHA) standard protocols. SARS-CoV-2 viral shedding in wastewater peaked when the highest number of COVID-19 cases were clinically diagnosed. Throughout the study period, 7450 to 23,000 gene copies/1000 mL were detected, where we identified 47 % (57/120) positive samples from WS and 35 % (128/360) from CS. When the COVID-19 patient number was the lowest (2), the highest CT value (39.4; i.e., lowest copy number) was identified from WS. On the other hand, when the COVID-19 patients were the highest (6), the lowest CT value (25.2 i.e., highest copy numbers) was obtained from WS. An advance signal of increased SARS-CoV-2 viral load from the COVID-19 patient was found in WS earlier than in the CS. Using customized primer sets in a traditional PCR approach, we confirmed that all SARS-CoV-2 variants identified in both CS and WS were Delta variants (B.1.617.2). To our knowledge, this is the first follow-up study to determine a temporal relationship between COVID-19 patients and their discharge of SARS-CoV-2 RNA genetic markers in wastewater from a single house including all family members for clinical sampling from a developing country (Bangladesh), where a proper sewage system is lacking. The salient findings of the study indicate that monitoring the genetic markers of the SARS-CoV-2 virus in wastewater could identify COVID-19 cases, which reduces the burden on the public health system during COVID-19 pandemics.

Indexed as

COVID-19SARS-CoV-2Follow-Up StudiesGenetic MarkersHumansRNA, ViralWastewaterGenetic MarkersRNA, ViralWastewaterClinical diagnosisClinical samplesCOVID-19 hotspotsSARS-CoV-2 variantsWastewater-based epidemiology (WBE)Wastewater samples

Identifiers

PMID36265620
PMCPMC9576909

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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.