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WeightNameValue
1000 Titel
  • SARS-CoV-2 in the environment: Modes of transmission, early detection and potential role of pollutions
1000 Autor/in
  1. Al Huraimel, Khalid |
  2. Alhosani, Mohamed |
  3. Kunhabdulla, Shabana |
  4. Stietiya, Mohammed Hashem |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-07-15
1000 Erschienen in
1000 Quellenangabe
  • 744:140946
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.scitotenv.2020.140946 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The coronavirus disease 2019 (COVID-19) is spreading globally having a profound effect on lives of millions of people, causing worldwide economic disruption. Curbing the spread of COVID-19 and future pandemics may be accomplished through understanding the environmental context of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and adoption of effective detection tools and mitigation policies. This article aims to examine the latest investigations on SARS-CoV-2 plausible environmental transmission modes, employment of wastewater surveillance for early detection of COVID-19, and elucidating the role of solid waste, water, and atmospheric quality on viral infectivity. Transmission of SARS-CoV-2 via faecal-oral or bio-aerosols lacks robust evidence and remains debatable. However, improper disinfection and defected plumbing systems in indoor environments such as hospitals and high-rise towers may facilitate the transport of virus-laden droplets of wastewater causing infection. Clinical and epidemiological studies are needed to present robust evidence that SARS-CoV-2 is transmissible via aerosols, though quantification of virus-laden aerosols at low concentrations presents a challenge. Wastewater surveillance of SARS-CoV-2 can be an effective tool in early detection of outbreak and determination of COVID-19 prevalence within a population, complementing clinical testing and providing decision makers guidance on restricting or relaxing movement. While poor air quality increases susceptibility to diseases, evidence for air pollution impact on COVID-19 infectivity is not available as infections are dynamically changing worldwide. Solid waste generated by households with infected individuals during the lockdown period may facilitate the spread of COVID-19 via fomite transmission route but has received little attention from the scientific community. Water bodies receiving raw sewage may pose risk of infection but this has not been investigated to date. Overall, our understanding of the environmental perspective of SARS-CoV-2 is imperative to detecting outbreak and predicting pandemic severity, allowing us to be equipped with the right tools to curb any future pandemic.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Wastewater-based epidemiology
lokal Modes of transmission
lokal Air pollution
lokal Solid waste
lokal Environmental context
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/QWwgSHVyYWltZWwsIEtoYWxpZA==|https://frl.publisso.de/adhoc/uri/QWxob3NhbmksIE1vaGFtZWQ=|https://frl.publisso.de/adhoc/uri/S3VuaGFiZHVsbGEsIFNoYWJhbmE=|https://orcid.org/0000-0003-1523-9068
1000 Label
1000 Förderer
  1. Division of Consultancy, Research and Innovation (CRI), Sharjah Environment Company |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Division of Consultancy, Research and Innovation (CRI), Sharjah Environment Company |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6421924.rdf
1000 Erstellt am 2020-07-16T12:20:29.079+0200
1000 Erstellt von 122
1000 beschreibt frl:6421924
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet 2021-10-01T15:47:09.961+0200
1000 Objekt bearb. Fri Oct 01 15:47:09 CEST 2021
1000 Vgl. frl:6421924
1000 Oai Id
  1. oai:frl.publisso.de:frl:6421924 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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