Your browser doesn't support javascript.
loading
Genomic Surveillance Identifies SARS-CoV-2 Transmission Patterns in Local University Populations, Wisconsin, USA, 2020-2022
Arunachalam Ramaiah; Manjeet Khubbar; Amy Bauer; Katherine Akinyemi; Josh Weiner; Sanjib Bhattacharyya.
Affiliation
  • Arunachalam Ramaiah; City of Milwaukee Health Department
  • Manjeet Khubbar; City of Milwaukee Health Department
  • Amy Bauer; City of Milwaukee Health Department
  • Katherine Akinyemi; City of Milwaukee Health Department
  • Josh Weiner; City of Milwaukee Health Department
  • Sanjib Bhattacharyya; City of Milwaukee Health Department
Preprint in English | medRxiv | ID: ppmedrxiv-22277014
ABSTRACT
Novel variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to emerge as the current coronavirus disease 2019 (COVID-19) pandemic extends into its third year. Understanding SARS-CoV-2 circulation in university populations is vital for effective interventions in a higher education setting that will inform pubic health policy during pandemics. In this study, we performed whole-genome sequencing of 537 of 1,717 SARS-CoV-2 positive nasopharyngeal/nasal swab samples collected for nearly 20 months from the two university populations in Wisconsin, United States. We observed that the viral sequences were distributed into 57 lineages/sub-lineages belonging to 15 clades of which the majority were from 21K (Omicron, 36.13%) and 21J (Delta, 30.91%). Nearly 40% (213) of the sequences were Omicron of which BA.1 and its eight descendent lineages account for 91%, while the remaining belong to BA.2 and its six descendent lineages. The independent analysis of these two universities sequences revealed significant differences in circulating the SARS-CoV-2 variants. The genome-based analysis of closely-related strains along with phylogenetic clusters had identified that potential virus transmission occurred within as well as between universities, and between the university and local community. Although this study improves our understanding of distinct transmission patterns of circulating variants in local universities, expanding the genomic surveillance capacity will aid local jurisdictions in identifying emerging SARS-CoV-2 variants like BA.4 and BA.5, and improve data-driven public health mitigation and policy efforts.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2022 Document type: Preprint
...