Mapping the Mortality-To-Incidence Ratios of Alzheimer’s Disease and Related Dementias (ADRDs): Evidence from the South Carolina Alzheimer’s Disease Registry

Introduction Mortality-to-incidence ratios (MIRs) are useful in assessing disease burdens and illustrating disparities. Unlike cancer, MIRs have not been applied to ADRDs. Therefore, we estimated and mapped the MIRs for ADRDs to show disparities in South Carolina. Methods Using data from the South Carolina Alzheimer’s Disease Registry (2017−2021), ADRD MIRs were calculated by demographic and geospatial characteristics. To account for the influence of the COVID-19 pandemic, data from 2015 to 2019 were also examined. MIRs were calculated as age-adjusted mortality rates divided by age-adjusted incidence rates. Results Overall, Black people and rural individuals consistently experienced higher MIRs, with the COVID-19 pandemic increasing this disparity gap. MIRs greater than 1.00 were only observed among Black people. The MIR for 31 out of 46 counties exceeded the state average. Discussion Estimating and mapping ADRDs has aided in identifying specific areas with the greatest burden of ADRD in South Carolina for targeting interventions.

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Publication Details

Journal
Scholar Commons (University of South Carolina)
Published
2025-12-01
DOI
https://doi.org/10.1371/journal.pone.0339785">https://doi.org/10.1371/journal.pone.0339785</a
Primary Topic
COVID-19 and healthcare impacts
Type
article
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article

Mapping the Mortality-To-Incidence Ratios of Alzheimer’s Disease and Related Dementias (ADRDs): Evidence from the South Carolina Alzheimer’s Disease Registry

Sue E. Levkoff, James W. Hardin, Bankole Olatosi, Eric Mishio Bawa et al.
Scholar Commons (University of South Carolina)
COVID-19 and healthcare impacts
article

Mapping the Mortality-To-Incidence Ratios of Alzheimer’s Disease and Related Dementias (ADRDs): Evidence from the South Carolina Alzheimer’s Disease Registry

Sue E. Levkoff, James W. Hardin, Bankole Olatosi, Eric Mishio Bawa, Daniel Amobtiwon Amoatika, Lorie Donelle, Li, Xiaoming, Ph.D., Miller, Margaret C., MS, Ph.D., Adams, Swann Arp, Ph.D., MS, FACE, Friedman, Daniela B., Ph.D., Leonardo Bonilha
article en

Abstract

Introduction Mortality-to-incidence ratios (MIRs) are useful in assessing disease burdens and illustrating disparities. Unlike cancer, MIRs have not been applied to ADRDs. Therefore, we estimated and mapped the MIRs for ADRDs to show disparities in South Carolina. Methods Using data from the South Carolina Alzheimer’s Disease Registry (2017−2021), ADRD MIRs were calculated by demographic and geospatial characteristics. To account for the influence of the COVID-19 pandemic, data from 2015 to 2019 were also examined. MIRs were calculated as age-adjusted mortality rates divided by age-adjusted incidence rates. Results Overall, Black people and rural individuals consistently experienced higher MIRs, with the COVID-19 pandemic increasing this disparity gap. MIRs greater than 1.00 were only observed among Black people. The MIR for 31 out of 46 counties exceeded the state average. Discussion Estimating and mapping ADRDs has aided in identifying specific areas with the greatest burden of ADRD in South Carolina for targeting interventions.

Scholar Commons (University of South Carolina)
Good health and well-being
Openalex Percentile: Top 28%
COVID-19 and healthcare impacts
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