However, GIS implementation implies a number of difficulties and challenges [8], some of which are discussed in this paper, like geocoding of confirmed cases, recognition of disease dynamics or identification of vulnerable groups. Governments, public health agencies, and academic institutions have launched different Web-based GIS services. The most famous example is the Johns Hopkins Covid-19 dashboard, a website assembled by the university's Center for Systems Science and Engineering, which produces the well-known interface of geoportal and GIS dashboard elements like tally or leaderboard of confirmed cases, heat map of cumulative cases, tables, key figures, and graphs. It was built using the Esri commercial technology ArcGIS, which is well known and used all around the world. Actually, the ArcGIS dashboard is easy to identify, as all implementations have the same user interface. The interface is modular, and each dashboard can be assembled in a different way, but most organizations use either the same or a very similar interface [9]. Other organizations chose to implement their own system based on open-source platforms, mostly using Leaflet or Open Layers mapping libraries [10, 11]. The third route was taken by organizations that already had some e-health or business intelligence system and chose to create a public online dashboard to present data collected by those systems [12]. What is common for most of these implementations is that they are designed for a broad audience and mostly focused on the presentation of a few static pieces of data, such as the daily testing of persons, confirmed cases, deaths, and recovered persons. By combining location-related data with other thematic data like epidemic ones, it is possible to gain critical insights, make better decisions, and optimize important processes and applications. Location intelligence (LI) has the capacity to organize and understand complex phenomena using geographic relationships, which are inherent in all information. It offers an opportunity to streamline the processes and recognize relationships to improve performance and results [13]. Bosnia and Herzegovina (BiH) is a country with a significantly underfunded public health system and has limited resources to fight the COVID-19 epidemic. The coronavirus was declared as a global pandemic by the World Health Organization (WHO) on 11 March 2020, and the first case was reported in BiH on 5 March 2020 (see Figure 1). Between 5 March and 17 June 2020, there were 3.141 COVID-19 confirmed cases in Bosnia and Herzegovina, including 2.197 recovered and 168 deaths. The spread of the infection at the beginning saw a continuous increase in the number of confirmed cases, and up to 10 June a declining trend. After May 5 th, the instantaneous reproductive number was below 1 [14]. In order to respond quickly to the rapid development of the epidemic situation related to the spread of COVID-19 in BiH, the Committee for Microbiology and Related Disciplines of the Department of Medical Sciences at the Academy of Sciences and Arts of Bosnia and Herzegovina (ANUBiH) launched the Epidemic Location Intelligence System (ELIS) to monitor the spread of the COVID-19 virus and formed a multidisciplinary team to implement it. The ELIS became fully operational as early as April 2020, and it helped to assess the success of the application of control measures, as well as with other activities undertaken by epidemiological teams. The system aims to provide epidemic data collection, processing and analysis, research of the COVID-19 epidemic, communication and exchange of information with public health service institutions, evaluation of the existing epidemic surveillance system and control measures taken. It also reports to government institutions and the general public about the current epidemic situation.