2021
DOI: 10.3233/jad-210225
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The Burden of Alzheimer’s Disease Mortality in the United States, 1999-2018

Abstract: Background: The increasing prevalence of Alzheimer’s disease (AD), along with the associated burden on healthcare systems, presents a substantial public health challenge. Objective: This study aimed to investigate trends in AD mortality and the relevant burden across the United States (U.S.) from 1999 to 2018 and to predict mortality trends between 2019 and 2023. Methods: Data on AD-related deaths between 1999 and 2018 were collected from the WONDER database administered by the U.S. Centers for Disease Control… Show more

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Cited by 19 publications
(11 citation statements)
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“…The autocorrelation function (ACF) and the partial autocorrelation function (PACF) were then plotted to check the stationary of the sequence after differencing, and auto.arima() was used to establish the optimal model according to the Akaike information criterion (AIC) value. The auto.arima() function is suitable for different ARIMA models of univariate time series data, searches the models according to the provided constraint order, and determines the optimal model ( 27 , 28 ). The normality of model residuals was tested through QQ plots, ACF and PACF plots.…”
Section: Methodsmentioning
confidence: 99%
“…The autocorrelation function (ACF) and the partial autocorrelation function (PACF) were then plotted to check the stationary of the sequence after differencing, and auto.arima() was used to establish the optimal model according to the Akaike information criterion (AIC) value. The auto.arima() function is suitable for different ARIMA models of univariate time series data, searches the models according to the provided constraint order, and determines the optimal model ( 27 , 28 ). The normality of model residuals was tested through QQ plots, ACF and PACF plots.…”
Section: Methodsmentioning
confidence: 99%
“…Alzheimer’s disease (AD) is a neurodegenerative disease highly correlated with age [ 59 ]. From 1999 to 2018, the number of deaths from AD in the United States increased [ 60 ]. Currently, an estimated 6.2 million Americans 65 years of age and older have AD, and if no effective treatment is found, this number will continue to increase [ 61 ].…”
Section: Il-37 In Cns Diseasesmentioning
confidence: 99%
“…For example, with data on prostate cancer in Australia from 1982 to 2013, ARIMA model was used to predict the incidence of prostate cancer from 2014 to 2022 [ 9 ]. The ARIMA model was used to predict Alzheimer’s disease mortality in the United States from 2019 to 2023 [ 10 ]. In addition, ARIMA model has a wide range of applications in fields such as meteorology [ 11 ], economics [ 12 ] and agriculture [ 13 ].…”
Section: Introductionmentioning
confidence: 99%