Mapping Hypertension Case Distribution as the Comorbidity of Diabetes Mellitus

Abstract

Non-Communicable Diseases (NCDs) have become an increasingly significant public health issue annually, emerging as a leading cause of mortality worldwide. Diabetes mellitus is prevalent among the population, often accompanied by comorbidities such as hypertension. Hypertension frequently manifests without symptoms, leading affected individuals unaware of their condition. Data processing is essential to transform hypertension cases due to diabetes mellitus into comprehensible information. Mapping the distribution of hypertension cases using Quantum GIS (Q-GIS) is one method to achieve this. This study aims to map the distribution of hypertension cases using the Q-GIS application in 2022 in Cipaku District, Ciamis Regency, based on village or sub-district, age, and gender.This study employs a descriptive quantitative research design. The instruments utilized include Geographic Information Systems, observation sheets, hardware, software, and digital maps. Data analysis involves univariate analysis, with a simple random sampling technique applied. Preliminary research conducted in January by the Ciamis District Health Office identified Cipaku District as having the highest number of hypertension cases in Ciamis Regency in 2022, totaling 5,528 cases of hypertension.