Application of compound poisson model to estimate underreported risk of non-communicable diseases in underdeveloped areas.

ABSTRACT:

Background

Hypertension and diabetes are major components of non-communicable diseases (NCDs), with a substantial number of patients residing in underdeveloped areas. Limited medical resources in these areas often results in underreporting of disease prevalence, masking the true extent of diseases. Taking the underdeveloped Liangshan Yi Autonomous Prefecture in China as an example, this study aimed to correct the underreported prevalence of hypertension and type 2 diabetes so as to provide inspiration for the allocation of medical resources in such areas.

Methods

Assuming the true number of patients in each area follows a Poisson distribution, we applied a Compound Poisson Model based on Clustering of Data Quality (CPM-CDQ) to estimate the potential true prevalence of hypert

SUBMITTER: Wan H 

PROVIDER: S-EPMC11417528 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature