Understanding SARS-CoV-2: Genetic Diversity, Transmission and Cure in Human
Indian Journal of Microbiology, ISSN: 0973-7715, Vol: 60, Issue: 3, Page: 398-401
2020
- 30Citations
- 205Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations30
- Citation Indexes28
- 28
- CrossRef13
- Policy Citations2
- 2
- Captures205
- Readers205
- 205
Article Description
As the SARS-CoV-2 virus race around the world across the different population, there needs to be a consolidated effort to understand the divergence of demographically distributed strains. The emerging trends in SARS-CoV-2 genome data show specific mutation and genetic diversity, which could provide the basis to develop a cocktail of vaccine and may also be used to develop the region-specific diagnostic tool, thus decreasing the chances of testing failures in fields. Since the transmission of SARS-CoV-2 is subject to the extent of human interaction, the insights from the correlation of genetic diversity with epidemiological parameter would give paramount information to tackle this transmission. Previously, studies have also correlated the epidemiological data with gut microbiome and its role in immunomodulation for maintaining health status, and such information could be generated from recovered individuals from different demographic regions. It will help in designing a probiotic-based diet for modulation of the gut microbiome, and that could be another plausible prophylactic treatment option. The genomics data suggest that a specific variant of SARS-CoV-2 gets enriched with the specific demographic region. Overall, demographic data suggests that host influences mutation and expression of the virus. Hence, the experiences from the clinical intervention for that region should be considered in control and treatment strategies.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85083671311&origin=inward; http://dx.doi.org/10.1007/s12088-020-00869-4; http://www.ncbi.nlm.nih.gov/pubmed/32317810; https://link.springer.com/10.1007/s12088-020-00869-4; https://dx.doi.org/10.1007/s12088-020-00869-4; https://link.springer.com/article/10.1007/s12088-020-00869-4
Springer Science and Business Media LLC
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