A Geographical Analysis of the Spatial Distribution of Cerebrovascular Disease among Women in Five Districts of Tripura, India
Palaniyandi Masimalai *
Department of Geography and Disaster Management (Health and Medical Geography Lab) Tripura University (A Central University), Suryamaninagar, Tripura (W) – 799022, India.
Diptanu Karmakar
Department of Geography and Disaster Management (Health and Medical Geography Lab) Tripura University (A Central University), Suryamaninagar, Tripura (W) – 799022, India.
Probhu Boro
Department of Geography and Disaster Management (Health and Medical Geography Lab) Tripura University (A Central University), Suryamaninagar, Tripura (W) – 799022, India.
*Author to whom correspondence should be addressed.
Abstract
Geographical review of clinically registered 273 cerebrovascular female patients in the selected five districts of Tripura from December 2022 to December 2024 shows a unique geographical distribution, spatial pattern and demographic variation. West Tripura is the main hotspot with 89% of cases particularly found in metropolitan areas like Agartala Municipal Corporation while other districts namely, Sepahijala, Gomati, South Tripura, and Khowai recorded a low percentage. The women ages group between 51 and 80 are most prevalent, with the highest incidence occurred in the age group of 61–80 shows the susceptibility for the obvious risk of incidence and 82% of cases were normal Cerebrovascular Accidents (CVAs or strokes), with less 18% frequent CVA-related hypertensive intracranial bleeding. IGM Hospital treated about 50% of the patients, and the other 50% needed just one day of hospitalization, pointing to timely interventions or mild severity, and were referred to GBP Hospital and AGMC. The prevalence of cerebrovascular illness found in females age wise variation during 2022-2024 (χ² = 21.71, p-value < 0.0001), cerebrovascular (CV) disorders affected varied age groups of female patients equally during 2022-2023, (χ² =, p-value < 0.01), and it was revealed statistically significance (χ² =, and p-value < 0.001) during 2023-24. In preventive care, women between the ages of 51 and 80, particularly those between the ages of 51 and 60, must be given priority. The pattern of geographical distribution of cluster patients indicates underlying factors such as population density, expensive to healthcare, socio-economic inequalities, environmental aspects, or lifestyle behaviours that require further examination to prevent the cerebrovascular accidents among the women in Tripura.
Keywords: Cerebrovascular Accidents (CVA), risk factors, spatial distribution, cluster pattern, random distribution, geographical appraisal