Journal Article

The role of vaccine status homophily in the COVID-19 pandemic: a cross-sectional survey with modelling

Are, Elisha B., Colijn, Caroline, Card, Kiffer G.

2024

Overview

Background Vaccine homophily describes non-heterogeneous vaccine uptake within contact networks. This study was performed to determine observable patterns of vaccine homophily, as well as the impact of vaccine homophily on disease transmission within and between vaccination groups under conditions of high and low vaccine efficacy. Methods Residents of British Columbia, Canada, aged ≥ 16 years, were recruited via online advertisements between February and March 2022, and provided information about vaccination status, perceived vaccination status of household and non-household contacts, compliance with COVID-19 prevention guidelines, and history of COVID-19. A deterministic mathematical model was used to assess transmission dynamics between vaccine status groups under conditions of high and low vaccine efficacy. Results Vaccine homophily was observed among those with 0, 2, or 3 doses of the vaccine. Greater homophily was observed among those who had more doses of the vaccine ( p  < 0.0001). Those with fewer vaccine doses had larger contact networks ( p  < 0.0001), were more likely to report prior COVID-19 ( p  < 0.0001), and reported lower compliance with COVID-19 prevention guidelines ( p  < 0.0001). Mathematical modelling showed that vaccine homophily plays a considerable role in epidemic growth under conditions of high and low vaccine efficacy. Furthermore, vaccine homophily contributes to a high force of infection among unvaccinated individuals under conditions of high vaccine efficacy, as well as to an elevated force of infection from unvaccinated to suboptimally vaccinated individuals under conditions of low vaccine efficacy. Interpretation The uneven uptake of COVID-19 vaccines and the nature of the contact network in the population play important roles in shaping COVID-19 transmission dynamics.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Biostatistics / British Columbia - epidemiology / Contact network / COVID-19 / COVID-19 - epidemiology / COVID-19 - prevention & control / COVID-19 Vaccines / Cross-Sectional Studies / Disease control / Disease prevention / Disease transmission / Effectiveness / Environmental Health / Epidemiology / Ethnicity / Guidelines / Health behavior / Homophily / Households / Humans / Immunization / Influence / Internet/Web advertising / Mathematical analysis / Mathematical model / Mathematical models / Medical research / Medicine / Medicine & Public Health / Medicine, Experimental / Missing data / Pandemics / Pandemics - prevention & control / Public Health / Self report / Severe acute respiratory syndrome coronavirus 2 / Social networks / Surveys / Transmission / Vaccination / Vaccine / Vaccine efficacy / Vaccines / Variables / Viral diseases