Pairwise Accelerated Failure Time Regression Models for Infectious Disease Transmission in Close-Contact Groups With External Sources of Infection.

ABSTRACT: Many important questions in infectious disease epidemiology involve associations between covariates (e.g., age or vaccination status) and infectiousness or susceptibility. Because disease transmission produces dependent outcomes, these questions are difficult or impossible to address using standard regression models from biostatistics. Pairwise survival analysis handles dependent outcomes by calculating likelihoods in terms of contact interval distributions in ordered pairs of individuals. The contact interval in the ordered pair ij$$ ij $$ is the time from the onset of infectiousness in i$$ i $$ to infectious contact from i$$ i $$ to j$$ j $$ , where an infectious contact is sufficient to infect j$$ j $$ if they are susceptible. Here, we introduce a pairwise accelerated failure time regre

SUBMITTER: Sharker Y 

PROVIDER: S-EPMC11583957 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature