kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Sustainable chemical preventive models in COVID-19: Understanding, innovation, adaptations, and impact
Invertis Univ, Bareilly 243123, Uttar Pradesh, India.;Oriental Inst Sci & Technol, Bhopal 462021, India..
Ben Gurion Univ Negev, Swiss Inst Dryland Environm & Energy Res, Jacob Blaustein Inst Desert Res, IL-8499000 Midreshet Bengurion, Israel..
CIPET Inst Petrochem Technol IPT Bhubaneswar, B-25 CNI Complex, Bhubaneswar 751024, India..
Indian Inst Technol ISM, Dept Chem, Dhanbad 826004, Jharkhand, India..
Show others and affiliations
2021 (English)In: Journal of the Indian Chemical Society, ISSN 0019-4522, Vol. 98, no 10, article id 100164Article in journal (Refereed) Published
Abstract [en]

COVID-19 is considered as a major public health problem caused by the SARS CoV-2. This Viral infection is known to induce worldwide pandemic in short period of time. Emerging evidence suggested that the transmission control and drug therapy may influence the preventive measures extensively as the host surrounding environment and pathogenic mechanism may contribute to the pandemic condition earlier in COVID-19 disease. Although, several animals identified as reservoir to date, however human-to-human transmission is well documented. Human beings are sustaining the virus in the communities and act as an amplifier of the virus. Human activities i.e., living with the patient, touching patient waste etc. in the surrounding of active patients or asymptomatic persons cause significant risk factors for transmission. On the other hand, drug target and mechanism to destroy the virus or virus inhibition depends on diversified approaches of drugs and different target for virus life cycle. This article describes the sustainable chemical preventive models understanding, requirements, technology adaptation and the implementation strategies in these pandemic-like situations. As the outbreak progresses, healthcare models focused on transmission control through disinfections and sanitization based on risk calculations. Identification of the most suitable target of drugs and regional control model of transmission are of high priority. In the early stages of an outbreak, availability of epidemiological information is important to encourage preventive measures efforts by public health authorities and provide robust evidence to guide interventions. Here, we have discussed the level of adaptations in technology that research professionals display toward their public health preventive models. We should compile a representative data set of adaptations that humans can consider for transmission control and adopt for viruses and their hosts. Overall, there are many aspects of the chemical science and technology in virus preventive measures. Herein, the most recent advances in this context are discussed, and the possible reasons behind the sustainable preventive model are presented. This kind of sustainable preventive model having adaptation and implementation with green chemistry system will reduce the shedding of the virus into the community by eco-friendly methods, and thus the risk of transmission and infection progression can be mitigated.

Place, publisher, year, edition, pages
Elsevier BV , 2021. Vol. 98, no 10, article id 100164
Keywords [en]
COVID-19, SARS CoV-2, Transmission, Drug formulation, Sustainability
National Category
Infectious Medicine
Identifiers
URN: urn:nbn:se:kth:diva-305127DOI: 10.1016/j.jics.2021.100164ISI: 000711094500026Scopus ID: 2-s2.0-85118705391OAI: oai:DiVA.org:kth-305127DiVA, id: diva2:1613246
Note

QC 20211122

Available from: 2021-11-22 Created: 2021-11-22 Last updated: 2023-01-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Natarajan Arul, Murugan

Search in DiVA

By author/editor
Natarajan Arul, Murugan
By organisation
Computational Science and Technology (CST)
In the same journal
Journal of the Indian Chemical Society
Infectious Medicine

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf