Abstract

The study aims to enhance understanding of the distribution of notifiable diseases using maps created with ArcGIS in Constantine. Over six years, it focused on the prevalence rates of waterborne diseases and zoonoses (e.g., tuberculosis, meningitis, and COVID-19). A database was created for each municipality using official data, which was processed using SPSS and Microsoft Excel and integrated into a geographic information system (GIS). The maps revealed a high prevalence of diseases in the state’s centre, particularly in the municipalities of Constantine, El Khroub, Didouche, and Mourad. The analysis also highlighted a positive relationship between the increase in disease cases and population density, emphasising the critical role of urbanisation in disease spread. Furthermore, seasonal variations were observed in the distribution of certain diseases, indicating that environmental factors, such as temperature and rainfall, influence disease outbreaks. As a result of this study, the maps have demonstrated a fundamental role in monitoring diseases and their development, offering valuable insights for public health surveillance and policy formulation. By visualising trends and patterns, these maps can support decision-making processes to manage health risks better and allocate resources effectively in the region.

Djebari, S., & Bestandji, S. (2025). The Role of Spatial Analysis in Notifiable Disease Monitoring and Health Risk Management: A Case Study of Constantine. International Journal of Disaster Risk Management, 7(1), 215–234. https://doi.org/10.18485/ijdrm.2025.7.1.12