Systematic review estimating the burden of dementia in the WHO Southeast Asia Region using Bayesian and frequentist approaches.

ABSTRACT:

Background

Rapid increase in life expectancy in low- and middle-income countries including the World Health Organization's Southeast Asia Region (SEAR) has resulted in an increase in the global burden of dementia, which is expected to become a leading cause of morbidity. Accurate burden estimates are key for informing policy and planning. Given the paucity of data, estimates were developed using both a Bayesian methodology and as well as a traditional frequentist approach to gain better insights into methodological approaches for disease burden estimates.

Methods

Seven databases were searched for studies published between 2010-2018 regarding dementia prevalence in SEAR, generating 8 relevant articles. A random-effects model (REM) and a Bayesian normal-normal hierarchical mod

SUBMITTER: Poon AN 

PROVIDER: S-EPMC7688200 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature