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

Jakariya, Md (författare)
North South Univ, Dept Environm Sci & Management, Dhaka 1229, Bangladesh.
Ahmed, Firoz (författare)
Noakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
Islam, Md Aminul (författare)
Noakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.;President Abdul Humid Med Coll, Dept Microbiol, Adv Mol Lab, Karimganj, Kishoreganj, Bangladesh.
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Al Marzan, Abdullah (författare)
Shahjalal Univ Sci & Technol, Dept Biochem & Mol Biol, Sylhet 3114, Bangladesh.
Hasan, Mohammad Nayeem (författare)
Shahjalal Univ Sci & Technol, Dept Stat, Sylhet 3114, Bangladesh.
Hossain, Maqsud (författare)
North South Univ, Dept Biochem & Microbiol, Dhaka 1229, Bangladesh.
Ahmed, Tanvir (författare)
Bangladesh Univ Engn & Technol, Dept Civil Engn, Dhaka 1000, Bangladesh.
Hossain, Ahmed (författare)
North South Univ, Dept Publ Hlth, Dhaka 1229, Bangladesh.
Reza, Hasan Mahmud (författare)
North South Univ, Dept Pharmaceut Sci, Dhaka 1229, Bangladesh.
Hossen, Foysal (författare)
Noakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh.
Nahla, Turasa (författare)
North South Univ, Dept Environm Sci & Management, Dhaka 1229, Bangladesh.
Rahman, Mohammad Moshiur (författare)
North South Univ, Dept Environm Sci & Management, Dhaka 1229, Bangladesh.
Bahadur, Newaz Mohammed (författare)
Noakhali Sci & Technol Univ, Dept Appl Chem & Chem Engn, Noakhali 3814, Bangladesh.
Islam, MD Tahmidul (författare)
KTH,Hållbar utveckling, miljövetenskap och teknik,WaterAid Bangladesh, Dhaka 1213, Bangladesh.,COVID 19 Res KTH
Didar-ul-Alam, Md (författare)
Noakhali Sci & Technol Univ, Noakhali 3814, Bangladesh.
Mow, Nowrin (författare)
WaterAid Bangladesh, Dhaka 1213, Bangladesh.
Jahan, Hasin (författare)
WaterAid Bangladesh, Dhaka 1213, Bangladesh.
Barcelo, Damia (författare)
Inst Environm Assessment & Water Res IDAEA, Spanish Natl Res Council CSIC, Dept Environm Chem, Water Environm & Food Chem Unit ENFOCHEM, C Jordi Giron 18-26, Barcelona 08034, Spain.
Bibby, Kyle (författare)
Univ Notre Dame, Dept Civil & Environm Engn & Earth Sci, Notre Dame, IN 46556 USA.
Bhattacharya, Prosun, 1962- (författare)
KTH,Hållbar utveckling, miljövetenskap och teknik,COVID 19 Res KTH
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North South Univ, Dept Environm Sci & Management, Dhaka 1229, Bangladesh Noakhali Sci & Technol Univ, Dept Microbiol, COVID 19 Diagnost Lab, Noakhali 3814, Bangladesh. (creator_code:org_t)
Elsevier BV, 2022
2022
Engelska.
Ingår i: Environmental Pollution. - : Elsevier BV. - 0269-7491 .- 1873-6424. ; 311
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • 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 waste-water 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.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Environmental Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Infectious Medicine (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Nyckelord

Wastewater-based epidemiology (WBE)
Onsite sanitation
SARS-CoV-2 monitoring
National surveillance program
Rural Hotspot based sampling
Urban Drain based sampling
Developing countries

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