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.

Organizations can improve efficiency of process execution through a correct resource allocation, as well as increase income, improve client satisfaction, and so on. This work presents a novel approach for solving problems of resource allocation in business processes which combines process mining, statistical techniques, and metaheuristic algorithms for optimization. In order to get more reliable results of the simulation, in this paper, we use process mining analysis and statistical techniques for building a simulation model. For finding optimal human resource allocation in business processes, we use the improved differential evolution algorithm with population adaptation. Because of the use of a stochastic simulation model, noise appears in the output of the model. The differential evolution algorithm is modified in order to include uncertainty in the fitness function. In the end, validation of the model was done on three different data sets in order to demonstrate the generality of the approach, and the comparison with the standard approach from the literature was done. The results have shown that this novel approach gives solutions which are better than the existing model from literature.

Between March 5th and July 25th, 2020, the total number of SARS-CoV-2 confirmed cases in Bosnia and Herzegovina (BH) was 10,090, corresponding to a cumulative incidence rate of 285.7/100,000 population. Demographic and clinical information on all the cases along with exposure and contact information were collected using a standardized case report form. In suspected SARS-CoV-2 cases, respiratory specimens were collected and tested by real-time reverse-transcriptase polymerase chain reaction assay. The dynamic of the outbreak was summarized using epidemiological curves, instantaneous reproduction number Rt, and interactive choropleth maps for geographical distribution and spread. The rate of hospitalization was 14.0%(790/5646) in the Federation of Bosnia and Herzegovina (FBH) and 6.2% (267/4299) in the Republic of Srpska (RS). The death rate was 2.2% (122/5646) in FBH and 3.6% in the RS (155/4299). After the authorities lifted mandatory quarantine restrictions, the instantaneous reproduction number increased from 1.13 on May 20th to 1.72 on May 31st. The outbreak concerns both entities, FBH and RS, and it is more pronounced in those aged 20-44 years. It is important to develop the communication and emergency plan for the SARS-CoV-2 outbreak in BH, including the mechanisms to allow the ongoing notification and updates at the national level.

Spatial data have proven to be extremely useful in many areas. Accordingly, there are more and more Web GIS solutions. These solutions allow the visualization of spatial data to all Internet users. A large number of available online resource introduced the problem of efficient retrieval of relevant information. The aim of this paper is to describe the way in which Web portals can be used to search and presentation of spatial data. The paper first analyzes the area of the Web portal. It provides an overview of the Web GIS technology, with particular emphasis in its advantages and disadvantages and how the client/server architecture can be applied to Web GIS solutions. Then, it describes how the service oriented architecture can be used to resolve interoperability problems, and gives an overview of OGC standards: WMS, WFS, and WCS. In the end, it explains the need for introducing a geoportal, as a special type of a Web portal. In the practical part of this paper is implemented interactive map of Bosnia and Herzegovina. An overview of the technologies was given: PostGIS, Boundless SDK, GeoServer and OpenLayers, which are an integral part of the OpenGeo Suite. The paper also describes how to integrate local data sources with public web services: MapQuest, Bing Maps and OpenStreetMap.