A collaborative approach to improving representation in viral genomic surveillance
P. Kim, A. Y. Kim, J. J. Newman, E. Cella, T. C. Bishop, P. J. Huwe, O. N. Uchakina, R. J. McKallip, V. L. Mack, M. P. Hill, I. V. Ogungbe, O. Adeyinka, S. Jones, G. Ware, J. L. Carroll, , J. P. Kamil
This paper develops a collaborative genomic surveillance model to improve representation in rural and minority communities, generating over 1,000 SARS-CoV-2 genomes and identifying new variants.
bioRxiv · Oct 19, 2022 · PreprintMicrobiology