Leveraging nationwide epidemiological big data for diabetes modeling and disease surveillance: an innovative approach for advancing public health policy in developing countries.

ABSTRACT:

Objective

Diabetes is escalating into a global crisis, with low- and middle-income countries bearing the heaviest burden. Yet few nations openly harness nationwide health data to guide precise, evidence-based interventions. This study pioneers the large-scale integration of Iran's decade-long electronic prescription records with advanced modelling tools to illuminate national and regional dynamics in antidiabetic drug use. By fusing big data analytics with policy-driven insight, our aim was not only to expose inequities and inefficiencies but to create a transferable blueprint for equitable, guideline-aligned diabetes care worldwide.

Results

Across 84 million prescriptions (2013-2023), metformin dominated treatment, but novel agents such as DPP-4 and SGLT2 inhibitors surged

SUBMITTER: Hayati H 

PROVIDER: S-EPMC12506017 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature