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Article ; Online: Location Intelligence Systems and Data Integration for Airport Capacities Planning

Mirza Ponjavic / Almir Karabegovic

Computers, Vol 8, Iss 1, p

2019 Volume 13

Abstract: This paper describes an approach introducing location intelligence using open-source software components as the solution for planning and construction of the airport infrastructure. As a case study, the spatial information system of the International ... ...

Abstract	This paper describes an approach introducing location intelligence using open-source software components as the solution for planning and construction of the airport infrastructure. As a case study, the spatial information system of the International Airport in Sarajevo is selected. Due to the frequent construction work on new terminals and the increase of existing airport capacities, as one of the measures for more efficient management of airport infrastructures, the development team has suggested to airport management to introduce location intelligence, meaning to upgrade the existing information system with a functional WebGIS solution. This solution is based on OpenGeo architecture that includes a set of spatial data management technologies used to create an online internet map and build a location intelligence infrastructure.
Keywords	location intelligence ; capacity planning ; open source software ; geographic information systems ; data visualization ; system integration ; enterprise architecture ; building information modeling ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2019-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Simulation and prediction of spread of COVID-19 in The Republic of Serbia by SEAIHRDS model of disease transmission.

Stanojevic, Slavoljub / Ponjavic, Mirza / Stanojevic, Slobodan / Stevanovic, Aleksandar / Radojicic, Sonja

Microbial risk analysis

2021 Volume 18, Page(s) 100161

Abstract: As a response to the pandemic caused by SARS-Cov-2 virus, on 15 March 2020, the Republic of Serbia introduced comprehensive anti-epidemic measures to curb COVID-19. After a slowdown in the epidemic, on 6 May 2020, the regulatory authorities decided to ... ...

Abstract	As a response to the pandemic caused by SARS-Cov-2 virus, on 15 March 2020, the Republic of Serbia introduced comprehensive anti-epidemic measures to curb COVID-19. After a slowdown in the epidemic, on 6 May 2020, the regulatory authorities decided to relax the implemented measures. However, the epidemiological situation soon worsened again. As of 7 February 2021, a total of 406,352 cases of SARSCov-2 infection have been reported in Serbia, 4,112 deaths caused by COVID-19. In order to better understand the epidemic dynamics and predict possible outcomes, we have developed an adaptive mathematical model SEAIHRDS (S-susceptible, E-exposed, A-asymptomatic, I-infected, H-hospitalized, R-recovered, d-dead due to COVID-19 infection, S-susceptible). The model can be used to simulate various scenarios of the implemented intervention measures and calculate possible epidemic outcomes, including the necessary hospital capacities. Considering promising results regarding the development of a vaccine against COVID-19, the model is extended to simulate vaccination among different population strata. The findings from various simulation scenarios have shown that, with implementation of strict measures of contact reduction, it is possible to control COVID-19 and reduce number of deaths. The findings also show that limiting effective contacts within the most susceptible population strata merits a special attention. However, the findings also show that the disease has a potential to remain in the population for a long time, likely with a seasonal pattern. If a vaccine, with efficacy equal or higher than 65%, becomes available it could help to significantly slow down or completely stop circulation of the virus in human population. The effects of vaccination depend primarily on: 1. Efficacy of available vaccine(s), 2. Prioritization of the population categories for vaccination, and 3. Overall vaccination coverage of the population, assuming that the vaccine(s) develop solid immunity in vaccinated individuals. With expected basic reproduction number of R
Language	English
Publishing date	2021-03-11
Publishing country	Netherlands
Document type	Journal Article
ISSN	2352-3530
ISSN (online)	2352-3530
DOI	10.1016/j.mran.2021.100161
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: SARS-CoV-2 virus outbreak and the emergency public health measures in Bosnia and Herzegovina: January - July, 2020.

Hukic, Mirsada / Ponjavic, Mirza / Tahirovic, Emin / Karabegovic, Almir / Ferhatbegovic, Elvir / Travar, Maja / Serdarevic, Fadila

Bosnian journal of basic medical sciences

2021 Volume 21, Issue 1, Page(s) 111–116

Abstract: 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 ... ...

Abstract	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.
MeSH term(s)	Adolescent ; Adult ; Aged ; Aged, 80 and over ; Basic Reproduction Number ; Bosnia and Herzegovina/epidemiology ; COVID-19/epidemiology ; Child ; Child, Preschool ; Disaster Planning ; Disease Outbreaks ; Female ; Geography ; Hospitalization ; Humans ; Infant ; Male ; Middle Aged ; Public Health/methods ; Quarantine ; Real-Time Polymerase Chain Reaction ; Reverse Transcriptase Polymerase Chain Reaction ; Young Adult
Keywords	covid19
Language	English
Publishing date	2021-02-01
Publishing country	Bosnia and Herzegovina
Document type	Journal Article
ZDB-ID	2240029-1
ISSN	1840-4812 ; 1512-8601
ISSN (online)	1840-4812
ISSN	1512-8601
DOI	10.17305/bjbms.2020.5081
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Simulation and prediction of spread of COVID-19 in The Republic of Serbia by SEAIHRDS model of disease transmission

Stanojevic, Slavoljub / Ponjavic, Mirza / Stanojevic, Slobodan / Stevanovic, Aleksandar / Radojicic, Sonja

Microbial risk analysis. 2021 Mar. 03,

2021

Abstract	As a response to the pandemic caused by SARS-Cov-2 virus, on 15 March 2020, the Republic of Serbia introduced comprehensive anti-epidemic measures to curb COVID-19. After a slowdown in the epidemic, on 6 May 2020, the regulatory authorities decided to relax the implemented measures. However, the epidemiological situation soon worsened again. As of 7 February 2021, a total of 406,352 cases of SARSCov-2 infection have been reported in Serbia, 4,112 deaths caused by COVID-19. In order to better understand the epidemic dynamics and predict possible outcomes, we have developed an adaptive mathematical model SEAIHRDS (S-susceptible, E-exposed, A-asymptomatic, I-infected, H-hospitalized, R-recovered, d-dead due to COVID-19 infection, S-susceptible). The model can be used to simulate various scenarios of the implemented intervention measures and calculate possible epidemic outcomes, including the necessary hospital capacities. Considering promising results regarding the development of a vaccine against COVID-19, the model is extended to simulate vaccination among different population strata. The findings from various simulation scenarios have shown that, with implementation of strict measures of contact reduction, it is possible to control COVID-19 and reduce number of deaths. The findings also show that limiting effective contacts within the most susceptible population strata merits a special attention. However, the findings also show that the disease has a potential to remain in the population for a long time, likely with a seasonal pattern. If a vaccine, with efficacy equal or higher than 65%, becomes available it could help to significantly slow down or completely stop circulation of the virus in human population.The effects of vaccination depend primarily on: 1. Efficacy of available vaccine(s), 2. Prioritization of the population categories for vaccination, and 3. Overall vaccination coverage of the population, assuming that the vaccine(s) develop solid immunity in vaccinated individuals. With expected basic reproduction number of Rₒ=2.46 and vaccine efficacy of 68%, an 87% coverage would be sufficient to stop the virus circulation.
Keywords	COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; at-risk population ; basic reproduction number ; hospitals ; humans ; immunity ; mathematical models ; microbiological risk assessment ; pandemic ; prediction ; prioritization ; seasonal variation ; vaccination ; vaccines ; viruses ; Serbia
Language	English
Dates of publication	2021-0303
Publishing place	Elsevier B.V.
Document type	Article
Note	NAL-light ; Pre-press version
ISSN	2352-3522
DOI	10.1016/j.mran.2021.100161
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: SARS-CoV-2 virus outbreak and the emergency public health measures in Bosnia and Herzegovina

Mirsada Hukic / Mirza Ponjavic / Emin Tahirovic / Almir Karabegovic / Elvir Ferhatbegovic / Maja Travar / Fadila Serdarevic

Bosnian Journal of Basic Medical Sciences (2020)

January – July, 2020

2020

Abstract: Between March 5 and July 25, 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 per 100 000 population. Demographic and clinical information on all the ... ...

Abstract	Between March 5 and July 25, 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 per 100 000 population. Demographic and clinical information on all the cases along with exposure and contact information was 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 (rRT-PCR) 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 Federation of Bosnia and Herzegovina (FBH) and 6.2 % (267/4299) in 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 basic reproduction number increased from 1.13 on May, the 20th to 1.72 on May the 31st. The outbreak concerns both entities, Federation of Bosnia and Herzegovina and Republika Srpska, 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.
Keywords	SARS-CoV-2 outbreak ; COVID-19 pandemic ; emergency ; public health ; Medicine (General) ; R5-920
Subject code	360
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Spatio-temporal data visualization for monitoring of control measures in the prevention of the spread of COVID-19 in Bosnia and Herzegovina.

Ponjavić, Mirza / Karabegović, Almir / Ferhatbegović, Elvir / Tahirović, Emin / Uzunović, Selma / Travar, Maja / Pilav, Aida / Mulić, Maida / Karakaš, Sead / Avdić, Nermin / Mulabdić, Zarina / Pavić, Goran / Bičo, Medina / Vasilj, Ivan / Mamić, Diana / Hukić, Mirsada

Medicinski glasnik : official publication of the Medical Association of Zenica-Doboj Canton, Bosnia and Herzegovina

2020 Volume 17, Issue 2, Page(s) 265–274

Abstract: 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 ... ...

Abstract	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.
MeSH term(s)	Betacoronavirus ; Bosnia and Herzegovina/epidemiology ; COVID-19 ; Communicable Disease Control ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Data Visualization ; Epidemics ; Epidemiological Monitoring ; Geographic Mapping ; Health Information Systems ; Humans ; Models, Statistical ; Pandemics/prevention & control ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; SARS-CoV-2 ; Spatio-Temporal Analysis
Keywords	covid19
Language	English
Publishing date	2020-05-21
Publishing country	Bosnia and Herzegovina
Document type	Journal Article
ZDB-ID	2378942-6
ISSN	1840-2445 ; 1840-0132
ISSN (online)	1840-2445
ISSN	1840-0132
DOI	10.17392/1215-20
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: SARS-CoV-2 virus outbreak and the emergency public health measures in Bosnia and Herzegovina: January - July, 2020

Hukic, Mirsada / Ponjavic, Mirza / Tahirovic, Emin / Karabegovic, Almir / Ferhatbegovic, Elvir / Travar, Maja / Serdarevic, Fadila

Abstract	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.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #890833
Database	COVID19

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Article ; Online: SARS-CoV-2 virus outbreak and the emergency public health measures in Bosnia and Herzegovina

Hukic, Mirsada / Ponjavic, Mirza / Tahirovic, Emin / Karabegovic, Almir / Ferhatbegovic, Elvir / Travar, Maja / Serdarevic, Fadila

Bosnian Journal of Basic Medical Sciences; Advanced online ; 1840-4812 ; 1512-8601

January – July, 2020

2020

Abstract	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.
Keywords	SARS-CoV-2 outbreak ; COVID-19 pandemic ; emergency ; public health ; covid19
Subject code	306
Language	English
Publishing date	2020-10-21
Publisher	Association of Basic Medical Sciences of FBIH
Publishing country	ba
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Simulation and prediction of further spread of COVID-19 in The Republic of Serbia by SEIRDS model of disease transmission

Stanojevic, Slavoljub Grozdan / Ponjavic, Mirza / Stanojevic, Slobodan / Stevanovic, Aleksandar / Radojicic, Sonja

medRxiv

Abstract: As a response to the pandemic caused by SARSCov-2 virus, on 15 March, 2020, the Republic of Serbia introduced comprehensive anti-epidemic measures to curb COVID 19. After a slowdown in the epidemic, on 6 May, 2020, the regulatory authorities decided to ... ...

Abstract	As a response to the pandemic caused by SARSCov-2 virus, on 15 March, 2020, the Republic of Serbia introduced comprehensive anti-epidemic measures to curb COVID 19. After a slowdown in the epidemic, on 6 May, 2020, the regulatory authorities decided to relax the implemented measures. However, the epidemiological situation soon worsened again. As of 15 October, 2020, a total of 35,454 cases of SARSCov-2 infection have been reported in Serbia, including 770 deaths caused by COVID19. In order to better understand the epidemic dynamics and predict possible outcomes, we have developed a mathematical model SEIRDS (S-susceptible, E-exposed, I-infected, R-recovered, D-dead due to COVID19 infection, S-susceptible). When developing the model, we took into account the differences between different population strata, which can impact the disease dynamics and outcome. The model can be used to simulate various scenarios of the implemented intervention measures and calculate possible epidemic outcomes, including the necessary hospital capacities. Considering promising results regarding the development of a vaccine against COVID19, the model is enabled to simulate vaccination among different population strata. The findings from various simulation scenarios have shown that, with implementation of strict measures of contact reduction, it is possible to control COVID19 and reduce number of deaths. The findings also show that limiting effective contacts within the most susceptible population strata merits a special attention. However, the findings also show that the disease has a potential to remain in the population for a long time, likely with a seasonal pattern. If a vaccine, with efficacy equal or higher than 65%, becomes available it could help to significantly slow down or completely stop circulation of the virus in human population. The effects of vaccination depend primarily on: 1. Efficacy of available vaccine(s), 2. Prioritization of the population categories for vaccination, and 3. Overall vaccination coverage of the population, assuming that the vaccine(s) develop solid immunity in vaccinated individuals. With expected basic reproduction number of Ro=2.46 and vaccine efficacy of 68%, an 87%- coverage would be sufficient to stop the virus circulation.
Keywords	covid19
Language	English
Publishing date	2020-10-23
Publisher	Cold Spring Harbor Laboratory Press
Document type	Article ; Online
DOI	10.1101/2020.10.21.20216986
Database	COVID19

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Article ; Online: Spatio-temporal data visualization for monitoring of control measures in the prevention of the spread of COVID-19 in Bosnia and Herzegovina

Mirza Ponjavić / Almir Karabegović / Elvir Ferhatbegović / Emin Tahirović / Selma Uzunović / Maja Travar / Aida Pilav / Maida Mulić / Sead Karakaš / Nermin Avdić / Zarina Mulabdić / Goran Pavić / Medina Bičo / Ivan Vasilj / Diana Mamić / Mirsada Hukić

Medicinski Glasnik, Vol 17, Iss 2, Pp 265-

2020 Volume 274

Abstract	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.
Keywords	covid 19 pandemic ; decision making ; epidemiological techniques ; geocoding ; health information systems ; reproduction number ; Medicine ; R
Subject code	360
Language	English
Publishing date	2020-08-01T00:00:00Z
Publisher	Medical Association of Zenica-Doboj Canton
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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