Translating SARS-CoV-2 wastewater-based epidemiology for prioritizing mass vaccination: a strategic overview
Title | Translating SARS-CoV-2 wastewater-based epidemiology for prioritizing mass vaccination: a strategic overview |
Publication Type | Journal Article |
Year of Publication | 2021 |
Authors | Dharmadhikari, T, Yadav, R, Dastager, S, Dharne, M |
Journal | Environmental Science and Pollution Research |
Volume | 28 |
Issue | 31 |
Pagination | 42975-42980 |
Date Published | AUG |
Type of Article | Article |
ISSN | 0944-1344 |
Keywords | Epidemiology, Policy making, SARS-CoV-2, Vaccination, wastewater |
Abstract | The inception of the novel coronavirus has forced the world into despair. Rapid progress has been made in addressing the situation, and various clinical diagnostic methods were developed for early detection of transmission. However, with a rapidly increasing number of infected populations worldwide, the testing of each individual was impractical. The wastewater-based epidemiology (WBE) has been implemented to evaluate disease outbreaks as an early warning system for pandemic preparedness. Numerous studies reported the presence of SARS-CoV-2 in the open drains and STPs across the globe via recovery efficiency of surrogate virus from existing virus concentration protocols. However, the such reported studies did not justify the use of WBE to identify or pinpoint the specific hotspots of transmission which could be prioritized for rapid efforts to contain or accelerate active vaccination efforts. Identifying precise locations of hotspots could be an essential aspect in controlling the outbreak and surge of wave by prioritizing the region for primary outbreak response. This article focuses on the issues relating to the primary focus for WBE that can be adapted, and its suitability for utilization in the mass vaccination program is discussed. Effective use of WBE information in terms of source tracking might be crucial as we move towards mass vaccination to control outbreaks of COVID-19 pandemic. |
DOI | 10.1007/s11356-021-15169-7 |
Type of Journal (Indian or Foreign) | Foreign |
Impact Factor (IF) | 4.223 |
Divison category:
Biochemical Sciences
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