Assessing the importance of demographic risk factors across two waves of SARS-CoV-2 using fine-scale case data.

ABSTRACT: For the long term control of an infectious disease such as COVID-19, it is crucial to identify the most likely individuals to become infected and the role that differences in demographic characteristics play in the observed patterns of infection. As high-volume surveillance winds down, testing data from earlier periods are invaluable for studying risk factors for infection in detail. Observed changes in time during these periods may then inform how stable the pattern will be in the long term. To this end we analyse the distribution of cases of COVID-19 across Scotland in 2021, where the location (census areas of order 500-1,000 residents) and reporting date of cases are known. We consider over 450,000 individually recorded cases, in two infection waves triggered by different lineages: B.1.

SUBMITTER: Wood AJ 

PROVIDER: S-EPMC10703279 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature