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A Tale Of Two Waves: Delineating Diverse Genomic And Transmission Landscapes driving the COVID19 Pandemic In Pune, India

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dc.contributor.author Niveditha, Divya en_US
dc.contributor.author KHAN, SOUMEN en_US
dc.contributor.author BHALERAO, UNNATI en_US
dc.contributor.author KADAM, PRADNYA en_US
dc.contributor.author SHAH, NIKITA en_US
dc.contributor.author SAWANT, RUTUJA en_US
dc.contributor.author TUPEKAR, MANISHA en_US
dc.contributor.author NAGAR, DHRITI en_US
dc.contributor.author RAO, ANJANI G. en_US
dc.contributor.author PATHAK, MAITRYEE en_US
dc.contributor.author GHOSE, AURNAB en_US
dc.contributor.author SHASHIDHARA, L. S. en_US
dc.contributor.author MONTEIRO, JOY MERWIN en_US
dc.contributor.author KARMODIYA, KRISHANPAL et al. en_US
dc.date.accessioned 2023-06-26T03:56:03Z
dc.date.available 2023-06-26T03:56:03Z
dc.date.issued 2023-08 en_US
dc.identifier.citation Journal of Infection and Public Health, 16(8), 1290-1300. en_US
dc.identifier.issn 1876-0341 en_US
dc.identifier.issn 1876-035X en_US
dc.identifier.uri https://doi.org/10.1016/j.jiph.2023.06.004 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8033
dc.description.abstract Background: Modern response to pandemics, critical for effective public health measures, is shaped by the availability and integration of diverse epidemiological outbreak data. Tracking variants of concern (VOC) is integral to understanding the evolution of SARS-CoV-2 in space and time, both at the local level and global context. This potentially generates actionable information when integrated with epidemiological outbreak data. Methods :A city-wide network of researchers, clinicians, and pathology diagnostic laboratories was formed for genome surveillance of COVID-19 in Pune, India. The genomic landscapes of 10,496 sequenced samples of SARS-CoV-2 driving peaks of infection in Pune between December-2020 to March-2022, were determined. As a modern response to the pandemic, a “band of five” outbreak data analytics approach was used. This integrated the genomic data (Band 1) of the virus through molecular phylogenetics with key outbreak data including sample collection dates and case numbers (Band 2), demographics like age and gender (Band 3-4), and geospatial mapping (Band 5). Results: The transmission dynamics of VOCs in 10,496 sequenced samples identified B.1.617.2 (Delta) and BA(x) (Omicron formerly known as B.1.1.529) variants as drivers of the second and third peaks of infection in Pune. Spike Protein mutational profiling during pre and post-Omicron VOCs indicated differential rank ordering of high-frequency mutations in specific domains that increased the charge and binding properties of the protein. Time-resolved phylogenetic analysis of Omicron sub-lineages identified a highly divergent BA.1 from Pune in addition to recombinant X lineages, XZ, XQ, and XM. Conclusions:The band of five outbreak data analytics approach, which integrates five different types of data, highlights the importance of a strong surveillance system with high-quality meta-data for understanding the spatiotemporal evolution of the SARS-CoV-2 genome in Pune. These findings have important implications for pandemic preparedness and could be critical tools for understanding and responding to future outbreaks. en_US
dc.language.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.subject COVID-19 en_US
dc.subject Whole Genome Sequencing (WGS) en_US
dc.subject SARS-CoV-2 genomic surveillance en_US
dc.subject 2023-JUN-WEEK1 en_US
dc.subject TOC-JUN-2023 en_US
dc.subject 2023 en_US
dc.subject Delta en_US
dc.subject Omicron en_US
dc.title A Tale Of Two Waves: Delineating Diverse Genomic And Transmission Landscapes driving the COVID19 Pandemic In Pune, India en_US
dc.type Article en_US
dc.contributor.department Dept. of Biology en_US
dc.contributor.department Dept. of Earth and Climate Science en_US
dc.identifier.sourcetitle Journal of Infection and Public Health en_US
dc.publication.originofpublisher Foreign en_US


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