Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8033
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dc.contributor.authorNiveditha, Divyaen_US
dc.contributor.authorKHAN, SOUMENen_US
dc.contributor.authorBHALERAO, UNNATIen_US
dc.contributor.authorKADAM, PRADNYAen_US
dc.contributor.authorSHAH, NIKITAen_US
dc.contributor.authorSAWANT, RUTUJAen_US
dc.contributor.authorTUPEKAR, MANISHAen_US
dc.contributor.authorNAGAR, DHRITIen_US
dc.contributor.authorRAO, ANJANI G.en_US
dc.contributor.authorPATHAK, MAITRYEEen_US
dc.contributor.authorGHOSE, AURNABen_US
dc.contributor.authorSHASHIDHARA, L. S.en_US
dc.contributor.authorMONTEIRO, JOY MERWINen_US
dc.contributor.authorKARMODIYA, KRISHANPAL et al.en_US
dc.date.accessioned2023-06-26T03:56:03Z
dc.date.available2023-06-26T03:56:03Z
dc.date.issued2023-08en_US
dc.identifier.citationJournal of Infection and Public Health, 16(8), 1290-1300.en_US
dc.identifier.issn1876-0341en_US
dc.identifier.issn1876-035Xen_US
dc.identifier.urihttps://doi.org/10.1016/j.jiph.2023.06.004en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8033
dc.description.abstractBackground: 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.isoenen_US
dc.publisherElsevier B.V.en_US
dc.subjectCOVID-19en_US
dc.subjectWhole Genome Sequencing (WGS)en_US
dc.subjectSARS-CoV-2 genomic surveillanceen_US
dc.subject2023-JUN-WEEK1en_US
dc.subjectTOC-JUN-2023en_US
dc.subject2023en_US
dc.subjectDeltaen_US
dc.subjectOmicronen_US
dc.titleA Tale Of Two Waves: Delineating Diverse Genomic And Transmission Landscapes driving the COVID19 Pandemic In Pune, Indiaen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Biologyen_US
dc.contributor.departmentDept. of Earth and Climate Scienceen_US
dc.identifier.sourcetitleJournal of Infection and Public Healthen_US
dc.publication.originofpublisherForeignen_US
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