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Diversity of SARS-CoV-2 isolates driven by pressure and health index.
Singh, R K Sanayaima; Malik, Md Zubbair; Singh, R K Brojen.
  • Singh RKS; School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
  • Malik MZ; School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
  • Singh RKB; School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Epidemiol Infect ; 149: e38, 2021 02 01.
Article in English | MEDLINE | ID: covidwho-1057670
ABSTRACT
One of the main concerns about the fast spreading coronavirus disease 2019 (Covid-19) pandemic is how to intervene. We analysed severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) isolates data using the multifractal approach and found a rich in viral genome diversity, which could be one of the root causes of the fast Covid-19 pandemic and is strongly affected by pressure and health index of the hosts inhabited regions. The calculated mutation rate (mr) is observed to be maximum at a particular pressure, beyond which mr maintains diversity. Hurst exponent and fractal dimension are found to be optimal at a critical pressure (Pm), whereas, for P > Pm and P < Pm, we found rich genome diversity relating to complicated genome organisation and virulence of the virus. The values of these complexity measurement parameters are found to be increased linearly with health index values.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mutation Rate / SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: Epidemiol Infect Journal subject: Communicable Diseases / Epidemiology Year: 2021 Document Type: Article Affiliation country: S0950268821000248

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mutation Rate / SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: Epidemiol Infect Journal subject: Communicable Diseases / Epidemiology Year: 2021 Document Type: Article Affiliation country: S0950268821000248