https://doi.org/10.4081/gh.2024.1307
The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation
Submitted: 3 May 2024
Accepted: 21 August 2024
Published: 10 September 2024
Accepted: 21 August 2024
Abstract Views: 48
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Cardiovascular Disease (CVD) is currently the major challenge to people’s health and the world’s top cause of death. In Tanzania, deaths due to CVD account for about 13% of the total deaths caused by the non-communicable diseases. This study examined the spatio-temporal clustering of CVDs from 2010 to 2019 in Tanzania for retrospective spatio-temporal analysis using the Bernoulli probability model on data sampled from four selected hospitals. Spatial scan statistics was performed to identify CVD clusters and the effect of covariates on the CVD incidences was examined using multiple logistic regression. It was found that there was a comparatively high risk of CVD during 2011-2015 followed by a decline during 2015-2019. The spatio-temporal analysis detected two high-risk disease clusters in the coastal and lake zones from 2012 to 2016 (p<0.001), with similar results produced by purely spatial analysis. The multiple logistic model showed that sex, age, blood pressure, body mass index (BMI), alcohol intake and smoking were significant predictors of CVD incidence.
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How to Cite
Sianga, B. E., Mbago, M. C., & Msengwa, A. S. (2024). The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation. Geospatial Health, 19(2). https://doi.org/10.4081/gh.2024.1307
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