Tehran University of Medical Sciences Journal of Biostatistics and Epidemiology 2383-4196 11 2 2025 06 15 177 196 Thanidtha Te-Chaniyom Faculty of Veterinary Science, Prince of Songkla University, Hatyai Campus, Songkhla, Thailand 2025 01 07 2025 06 29 Background: Space-time scanning analysis to detect cylindrical spatio-temporal clusters of diseases is available. Yet, there is no satisfactory way to visualize the data. Our aim is to visualize spatio-temporal cylindrical clusters of dog rabies in Thailand from 2005 to 2021. Methods:  We obtained dog rabies data from 2005 to 2021 from the World Animal Health Information System under the World Organisation for Animal Health (WOAH). The rsatscan package in R was applied to identify spatio-temporal clusters of dog rabies using the discrete Poisson model and Monte Carlo simulation. Using a user-defined function developed by our research team, cylindrical shapes were created based on the provincial administration maps to demonstrate significant clusters over space and time. Results: The average incidence of dog rabies was 0.5 events per 100,000 human-years, and seven clusters were found during the study period in all five national regions, based on 15% of the population being at risk. Conclusion: Seven dog rabies clusters were detected throughout Thailand. We recommend intensive control measures to alleviate dog rabies. Our method to generate multi-dimensional graphics can comprehensibly visualize cylinder-shaped outcomes from spatio-temporal data.     https://jbe.tums.ac.ir/index.php/jbe/article/view/1557