Your browser doesn't support javascript.
loading
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.
Afiliação
  • 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 em En | MEDLINE | ID: mdl-36265620

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh