ArticlemedRxiv : the preprint server for health sciences2025
Geospatial and demographic patterns of SARS-CoV-2 spread in Massachusetts from over 130,000 genomes.
Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
22 authors.
Funding
Abstract
Despite intensive study, gaps remain in our understanding of SARS-CoV-2 transmission patterns during the COVID-19 pandemic, in part due to limited contextual metadata accompanying most large genomic surveillance datasets. We analyzed over 130,000 SARS-CoV-2 genomes, over 85,000 with matched epidemiological data, collected in Massachusetts from November 2021 to January 2023, to investigate viral transmission dynamics at high resolution. The data were drawn from diagnostic testing at >600 facilities representing schools, workplaces, public testing, and other sectors, and encompass the emergence of six major viral lineages, each representing a new outbreak. We found urban areas as key hubs for new lineage introduction and interurban transmission as facilitating spread throughout the state. Young adults, especially those on college campuses, served as early indicators of emerging lineage dominance. Resident-aged populations in college campuses and nursing homes exhibited a higher likelihood of being linked to within-facility transmission, while staff-aged at those facilities were more linked to their surrounding community. Individuals with recent vaccine doses, including boosters, had a lower likelihood of initiating transmission. This dataset shows the value of linking genomic and epidemiologic data at scale for higher resolution insights into viral dynamics and their implication for public health strategy.
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