scholarly journals Geographic Disparities in County-Level Prevalence of Alzheimer’s Disease Across the United States

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 851-851
Author(s):  
Mackenzie Fowler ◽  
Michael Crowe ◽  
Richard Kennedy

Abstract While national and state estimates of the prevalence and incidence of AD are available, estimates across finer geographic regions offer an opportunity to tailor programs to the needs of the local population. Previously, we estimated prevalence and incidence of AD at the county level across the continental United States and found that estimated prevalence of AD varied more than threefold across counties, predominantly in the Southeastern and Midwestern United States. We also observed “islands” of low AD within regions with high AD, and vice versa. We update these findings by examining changes in projected prevalence of AD over time, and comparing projected prevalence of AD to prevalence of AD diagnoses in Medicare. We also examine regional variation in provider specialty patterns and racial differences across counties as possible explanatory factors. Understanding small-area geographic disparities in prevalence will be critical for addressing practice variation in the prevention and diagnosis of dementia.

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S782-S782 ◽  
Author(s):  
Mackenzie E Fowler ◽  
Christina DiBlasio ◽  
Michael Crowe ◽  
Richard E Kennedy

Abstract Small-area geographic disparities in health care delivery have been observed across multiple disorders, but remain poorly studied for Alzheimer’s disease (AD) and other dementias. While national and state estimates of the prevalence and incidence of AD are available, estimates across finer geographic regions offer an opportunity to tailor programs to the needs of the local population. We estimated prevalence of AD at the county level across the continental United States. We used prevalence rates of AD by age category and race among Medicare fee-for-service beneficiaries published by the Centers for Disease Control (CDC). These prevalence rates were projected onto bridged-race county-level population data for 2017 from the National Center for Health Statistics, with empirical Bayes spatial smoothing to reduce variability in rates due to small population sizes. Estimated prevalence of AD varied more than threefold across counties, from a low of 51.8 per 1,000 persons in Loving County, Texas to a high of 169.6 per 1,000 persons in Kalawao County, Hawaii. Higher prevalence of AD was seen in the Southeastern and Midwestern United States. However, we observed specific counties with low prevalence of AD within regions with high prevalence of AD, and vice versa. These small-area geographic variations may provide vital information about social and environmental influences on dementia care, yet little data have been available to date. Understanding geographic disparities in prevalence will be critical for addressing practice variation in the prevention and diagnosis of dementia.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Bingyi Yang ◽  
Angkana T. Huang ◽  
Bernardo Garcia-Carreras ◽  
William E. Hart ◽  
Andrea Staid ◽  
...  

AbstractNon-pharmaceutical interventions (NPIs) remain the only widely available tool for controlling the ongoing SARS-CoV-2 pandemic. We estimated weekly values of the effective basic reproductive number (Reff) using a mechanistic metapopulation model and associated these with county-level characteristics and NPIs in the United States (US). Interventions that included school and leisure activities closure and nursing home visiting bans were all associated with a median Reff below 1 when combined with either stay at home orders (median Reff 0.97, 95% confidence interval (CI) 0.58–1.39) or face masks (median Reff 0.97, 95% CI 0.58–1.39). While direct causal effects of interventions remain unclear, our results suggest that relaxation of some NPIs will need to be counterbalanced by continuation and/or implementation of others.


2021 ◽  
Vol 59 ◽  
pp. 21-23
Author(s):  
Mao Yanagisawa ◽  
Ichiro Kawachi ◽  
Christopher A. Scannell ◽  
Carlos Irwin A. Oronce ◽  
Yusuke Tsugawa

2013 ◽  
Vol 37 (6) ◽  
pp. 793-802 ◽  
Author(s):  
Yu Wang ◽  
Yawei Zhang ◽  
Shuangge Ma

Author(s):  
Danielle Sass ◽  
Bita Fayaz Farkhad ◽  
Bo Li ◽  
Man-pui Sally Chan ◽  
Dolores Albarracin

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