,
International Burch University, Sarajevo , Sarajevo , Bosnia and Herzegovina
Electrical Engineering Faculty, University of Sarajevo , Sarajevo , Bosnia and Herzegovina
GAUSS Centre for Geospatial Research Sarajevo , Sarajevo , Bosnia and Herzegovina
International University of Sarajevo , Sarajevo , Bosnia and Herzegovina
Department of Clinical Microbiology, Institute for Health and Food Safety Zenica , Zenica , Bosnia and Herzegovina
University Clinical Centre of the Republic of Srpska , Zenica , Bosnia and Herzegovina
Institute for Public Health of Sarajevo Canton , Sarajevo , Bosnia and Herzegovina
Institute for Public Health of Tuzla Canton , Tuzla , Bosnia and Herzegovina
Institute for Public Health of Central Bosnia Canton, Travnik , Travnik , Bosnia and Herzegovina
Institute for Public Health of Herzegovina-Neretva Canton, Mostar , Mostar , Bosnia and Herzegovina
Institute for Public Health of Una-Sana Canton, Bihać , Bihać , Bosnia and Herzegovina
Institute for Public Health of Posavina Canton, Orašje , Orašje , Bosnia and Herzegovina
Institute for Public Health of Bosnian-Podrinje Canton, Goražde , Goražde , Bosnia and Herzegovina
Institute for Public Health of West Herzegovina Canton, Grude , Grude , Bosnia and Herzegovina
Institute for Public Health of Herzeg-Bosnian Canton, Livno , Livno , Bosnia and Herzegovina
Academy of Sciences and Arts of Bosnia and Herzegovina, Sarajevo , Sarajevo , Bosnia and Herzegovina
Aim
The damage caused by the COVID-19 pandemic has made the prevention of its further spread at the top of the list of priorities of many governments and state institutions responsible for health and civil protection around the world. This prevention implies an effective system of epidemiological surveillance and the application of timely and effective control measures. This research focuses on the application of techniques for modelling and geovisualization of epidemic data with the aim of simple and fast communication of analytical results via geoportal.
Methods
The paper describes the approach applied through the project of establishing the epidemiological location-intelligence system for monitoring the effectiveness of control measures in preventing the spread of COVID-19 in Bosnia and Herzegovina.
Results
Epidemic data were processed and the results related to spatio-temporal analysis of the infection spread were presented by compartmental epidemic model, reproduction number R, epi-curve diagrams as well as choropleth maps for different levels of administrative units. Geovisualization of epidemic data enabled the release of numerous information from described models and indicators, providing easier visual communication of the spread of the disease and better recognition of its trend.
Conclusion
The approach involves the simultaneous application of epidemic models and epidemic data geovisualization, which allows a simple and rapid evaluation of the epidemic situation and the effects of control measures. This contributes to more informative decision-making related to control measures by suggesting their selective application at the local level.
This work is licensed under a Attribution-NonCommercial-NoDerivatives 4.0 International 
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