Key result
Spatio-temporal analysis identified significant increasing trends in hypertension cases in 36 of 467 settlements and 19 consecutive hot spot clusters in AP Vojvodina.
Why the study?
Hypertension is globally prevalent, but spatio-temporal trends and high-risk geographic clusters in Autonomous Province Vojvodina needed characterization to guide public health interventions.
Observational
No
Spatio-temporal analysis identified significant increasing trends and hot spots of hypertension in specific settlements of Northern Serbia, highlighting high-risk areas for targeted public health interventions.
Answers are grounded in this paper and cite their sources.
Identifies rising hypertension trends in select Vojvodina settlements; leaves open whether these patterns warrant targeted responses.
Hypertension is one of the most prevalent cardiovascular diseases globally. This study presents a spatio-temporal analysis of hypertension among patients treated at the Institute for Cardiovascular Diseases of Vojvodina between 2000 and 2023. A Mann–Kendall trend analysis was performed at the settlement level using Python to identify trends in hypertension cases. The Getis-Ord Gi* statistic, implemented through the Emerging Hot Spot Analysis (HSA) tool in ArcGIS Pro, was applied to detect spatial clusters of hot and cold spots. The Mann–Kendall analysis identified significant trends in 40 of the 467 settlements in Autonomous Province Vojvodina. Of these, 36 settlements exhibited an increasing trend in hypertension cases, while a decreasing trend was observed in 4 settlements. The Emerging HSA detected 19 clusters classified as “Consecutive Hot Spots” among 316 analysed clusters, with no discernible patterns observed in the remaining clusters. To compare the findings and results from these two analyses, the Kriging method was applied to the z -values of trends from both analyses. The method indicated higher trends in hypertension cases in settlements within South Bačka County. This research identifies areas with significant hypertension trends, helping to pinpoint high-risk regions. The results support further investigation into the causes and guide targeted public health interventions in the study area.
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Kričković et al. (2025) conducted an observational in Hypertension. Geographic location (settlements in AP Vojvodina) was evaluated on Trends in hypertension cases and spatial clusters. Spatio-temporal analysis identified significant increasing trends in hypertension cases in 36 of 467 settlements and 19 consecutive hot spot clusters in AP Vojvodina.
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