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A 30-day follow-up ...
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Islam, Md. AminulNoakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.;President Abdul Hamid Med Coll, Dept Microbiol, Adv Mol Lab, Kishoreganj, Bangladesh.
(author)
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
- Article/chapterEnglish2023
Publisher, publication year, extent ...
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Elsevier BV,2023
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:kth-323182
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323182URI
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https://doi.org/10.1016/j.scitotenv.2022.159350DOI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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QC 20230123
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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 wastewa-ter samples (WS) with clinical specimens (CS) for a period of 30 days. RT-qPCR technique was employed to target non-structural (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 be-tween 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.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
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Rahman, Md. ArifurNoakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
(author)
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Jakariya, Md.North South Univ, Dept Environm Sci & Management, Dhaka 1229, Bangladesh.
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Bahadur, Newaz MohammedNoakhali Sci & Technol Univ, Dept Appl Chem & Chem Engn, Noakhali 3814, Bangladesh.
(author)
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Hossen, FoysalNoakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
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Mukharjee, Sanjoy KumarNoakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
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Hossain, Mohammad SalimNoakhali Sci & Technol Univ, Dept Pharm, Noakhali 3814, Bangladesh.
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Tasneem, AtkeeyaNoakhali Sci & Technol Univ, Dept Environm Sci & Disaster Management, Noakhali 3814, Bangladesh.
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Haque, Md. AtiqulChina Agr Univ, Coll Vet Med, Key Lab Anim Epidemiol & Zoonoses, Minist Agr & Rural Affairs, Beijing, Peoples R China.;Hajee Mohammad Danesh Sci & Technol Univ, Fac Vet & Anim Sci, Dept Microbiol, Dinajpur 5200, Bangladesh.
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Sera, FrancescoUniv Florence, Dept Stat Informat Applicat, Florence, Italy.;London Sch Hyg & Trop Med, Dept Publ Hlth Environm & Soc, London, England.
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Jahid, Iqbal KabirJashore Univ Sci & Technol, Dept Microbiol, Jashore 7408, Bangladesh.
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Ahmed, TanvirBangladesh Univ Engn & Technol, Dept Civil Engn, Dhaka 1000, Bangladesh.
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Hasan, Mohammad NayeemShahjalal Univ Sci & Technol, Dept Stat, Sylhet 3114, Bangladesh.
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Islam, Md. TahmidulWater Aid Bangladesh, Dhaka 1213, Bangladesh.
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Hossain, AmzadNoakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
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Amin, RuhulNoakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
(author)
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Tiwari, AnandaUniv Helsinki, Fac Vet Med, Dept Food Hyg & Environm Hlth, Helsinki, Finland.;Finnish Inst Hlth & Welf, Dept Hlth Secur, Expert Microbiol Res Unit, Helsinki, Finland.
(author)
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Didar-Ul-Alam, MdNoakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
(author)
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Dhama, KuldeepICAR Indian Vet Res Inst, Div Pathol, Bareilly 243122, Uttar Pradesh, India.
(author)
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Bhattacharya, Prosun,1962-KTH,Miljögeokemi och ekoteknik,Vatten- och miljöteknik(Swepub:kth)u19v7ore
(author)
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Ahmed, FirozNoakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
(author)
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Noakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.;President Abdul Hamid Med Coll, Dept Microbiol, Adv Mol Lab, Kishoreganj, Bangladesh.Noakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
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In:Science of the Total Environment: Elsevier BV858, s. 159350-0048-96971879-1026
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