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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.
Islam, Md Aminul; Rahman, Md Arifur; Jakariya, Md; Bahadur, Newaz Mohammed; Hossen, Foysal; Mukharjee, Sanjoy Kumar; Hossain, Mohammad Salim; Tasneem, Atkeeya; Haque, Md Atiqul; Sera, Francesco; Jahid, Iqbal Kabir; Ahmed, Tanvir; Hasan, Mohammad Nayeem; Islam, Md Tahmidul; Hossain, Amzad; Amin, Ruhul; Tiwari, Ananda; Didar-Ul-Alam, Md; Dhama, Kuldeep; Bhattacharya, Prosun; Ahmed, Firoz.
  • Islam MA; COVID-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.
  • Rahman MA; COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
  • Jakariya M; Department of Environmental Science and Management, North South University, Bashundhara, Dhaka 1229, Bangladesh.
  • Bahadur NM; Department of Applied Chemistry and Chemical Engineering, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
  • Hossen F; COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
  • Mukharjee SK; COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
  • Hossain MS; Department of Pharmacy, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
  • Tasneem A; Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
  • Haque MA; Key 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, Dina
  • Sera F; Department of Statistics, Informatics, Applications, University of Florence, Florence, Italy; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
  • Jahid IK; Department of Microbiology, Jashore University of Science and Technology, Jashore 7408, Bangladesh.
  • Ahmed T; Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.
  • Hasan MN; Department of Statistics, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
  • Islam MT; Water Aid Bangladesh, Dhaka 1213, Bangladesh.
  • Hossain A; COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
  • Amin R; COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
  • Tiwari A; Department 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.
  • Didar-Ul-Alam M; COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
  • Dhama K; Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh 243122, India.
  • Bhattacharya P; COVID-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.
  • Ahmed F; COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Sci Total Environ ; 858(Pt 3): 159350, 2023 Feb 01.
Article in English | MEDLINE | ID: covidwho-2069671
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Sci Total Environ Year: 2023 Document Type: Article Affiliation country: J.scitotenv.2022.159350

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Sci Total Environ Year: 2023 Document Type: Article Affiliation country: J.scitotenv.2022.159350