Using integrated visualization techniques to investigate associations between cardiovascular health outcomes and residential migration in Auckland, New Zealand

The negative health effects of living in a deprived neighborhood may influence the incidence of cardiovascular disease (CVD), even after controlling for sociodemographic characteristics, and there is evidence that residential mobility is associated with mortality and morbidity rates. However, few studies have investigated the application of integrated visualization techniques and statistic modeling to communicate the association between residential mobility and cardiovascular outcomes. We focus on examining the association between cardiovascular health outcomes and patient migration in Auckland, New Zealand, in two ways. First, we assess the association between all-cause mortality among patients with CVD and deprivation mobility, controlling for age, gender and ethnicity using multiple logistic regression at the individual level, and then visualize the results. Second, we identify aggregated geographical patterns of prevalence of CVD stratified using migration status, area-deprivation, ethnicity, and geographical area using kriskograms, ring-cartograms, and ringmaps to visualize the results. We reveal distinct patterns for purposefully selected subgroups and highlight disparities by geographic area, deprivation, and ethnicity before discussing the implications of our findings in relation to migration and health outcomes.