Evidence map›Paper›PMID 35753547›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2022

Wastewater-based epidemiological surveillance to monitor the prevalence of SARS-CoV-2 in developing countries with onsite sanitation facilities.

Md Jakariya, Firoz Ahmed, Md Aminul Islam, Abdullah Al Marzan, Mohammad Nayeem Hasan, Maqsud Hossain, Tanvir Ahmed, Ahmed Hossain, Hasan Mahmud Reza, Foysal Hossen and 10 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

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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

20 authors at 8 institutions in 4 countries.

Md JakariyaDepartment of Environmental Science and Management, North South University, Bashundhara, Dhaka, 1229, Bangladesh.
Firoz AhmedCOVID-19 Diagnostic Laboratory, Department of Microbiology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
Md Aminul IslamCOVID-19 Diagnostic Laboratory, Department of Microbiology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh; Advanced Molecular Laboratory, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, Bangladesh.
Abdullah Al MarzanDepartment of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Mohammad Nayeem HasanDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Maqsud HossainDepartment of Biochemistry and Microbiology, North South University, Bashundhara, Dhaka, 1229, Bangladesh.
Tanvir AhmedDepartment of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.
Ahmed HossainDepartment of Public Health, North South University, Bashundhara, Dhaka, 1229, Bangladesh.
Hasan Mahmud RezaDepartment of Pharmaceutical Sciences, North South University, Bashundhara, Dhaka, 1229, Bangladesh.
Foysal HossenCOVID-19 Diagnostic Laboratory, Department of Microbiology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
Turasa NahlaDepartment of Environmental Science and Management, North South University, Bashundhara, Dhaka, 1229, Bangladesh.
Mohammad Moshiur RahmanDepartment 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.
Md Tahmidul IslamWaterAid Bangladesh, Dhaka, 1213, Bangladesh; COVID-19 Research@KTH, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Teknikringen 10B, SE-10044, Stockholm, Sweden.
Md Didar-Ul-AlamNoakhali Science and Technology University, Noakhali, 3814, Bangladesh.
Nowrin MowWaterAid Bangladesh, Dhaka, 1213, Bangladesh.
Hasin JahanWaterAid Bangladesh, Dhaka, 1213, Bangladesh.
Damiá BarcelóWater, Environmental and Food Chemistry Unit (ENFOCHEM), Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Spanish National Research Council (CSIC), C. Jordi Giron 18-26, 08034, Barcelona, Spain.
Kyle BibbyDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.
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.
North South University · BDNoakhali Science and Technology University · BDInstitute of Water Modelling · BDShahjalal University of Science and Technology · BDBangladesh University of Engineering and Technology · BDConsejo Superior de Investigaciones Científicas · ESKTH Royal Institute of Technology · SEUniversity of Notre Dame · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) has emerged as a valuable approach for forecasting disease outbreaks in developed countries with a centralized sewage infrastructure. On the other hand, due to the absence of well-defined and systematic sewage networks, WBE is challenging to implement in developing countries like Bangladesh where most people live in rural areas. Identification of appropriate locations for rural Hotspot Based Sampling (HBS) and urban Drain Based Sampling (DBS) are critical to enable WBE based monitoring system. We investigated the best sampling locations from both urban and rural areas in Bangladesh after evaluating the sanitation infrastructure for forecasting COVID-19 prevalence. A total of 168 wastewater samples were collected from 14 districts of Bangladesh during each of the two peak pandemic seasons. RT-qPCR commercial kits were used to target ORF1ab and N genes. The presence of SARS-CoV-2 genetic materials was found in 98% (165/168) and 95% (160/168) wastewater samples in the first and second round sampling, respectively. Although wastewater effluents from both the marketplace and isolation center drains were found with the highest amount of genetic materials according to the mixed model, quantifiable SARS-CoV-2 RNAs were also identified in the other four sampling sites. Hence, wastewater samples of the marketplace in rural areas and isolation centers in urban areas can be considered the appropriate sampling sites to detect contagion hotspots. This is the first complete study to detect SARS-CoV-2 genetic components in wastewater samples collected from rural and urban areas for monitoring the COVID-19 pandemic. The results based on the study revealed a correlation between viral copy numbers in wastewater samples and SARS-CoV-2 positive cases reported by the Directorate General of Health Services (DGHS) as part of the national surveillance program for COVID-19 prevention. The findings of this study will help in setting strategies and guidelines for the selection of appropriate sampling sites, which will facilitate in development of comprehensive wastewater-based epidemiological systems for surveillance of rural and urban areas of low-income countries with inadequate sewage infrastructure.

Indexed as

COVID-19SARS-CoV-2Developing CountriesHumansPandemicsPrevalenceSanitationSewageWastewaterWastewater-Based Epidemiological MonitoringSewageWastewaterDeveloping countriesNational surveillance programOnsite sanitationRural Hotspot based samplingSARS-CoV-2 monitoringUrban Drain based samplingWastewater-based epidemiology (WBE)

Identifiers

PMID35753547
PMCPMC9225114
OpenAlexW4283398550

What OpenQuestion holds

Textmetadata
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Registered trials

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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.