Management tool for epidemic monitoring, analysis, and
visualisation

C 2023

Management tool for epidemic monitoring, analysis, and visualisation

PAVLÍK, Tomáš, Lenka PŘIBYLOVÁ, Veronika ECLEROVÁ, Ondřej MÁJEK, Andrea KRAUS et. al.

Basic information

Original name

Management tool for epidemic monitoring, analysis, and visualisation

Authors

PAVLÍK, Tomáš (203 Czech Republic, belonging to the institution), Lenka PŘIBYLOVÁ (203 Czech Republic, belonging to the institution), Veronika ECLEROVÁ (203 Czech Republic, belonging to the institution), Ondřej MÁJEK (203 Czech Republic, belonging to the institution), Andrea KRAUS (703 Slovakia, belonging to the institution), David KRAUS (203 Czech Republic, belonging to the institution), Ladislav DUŠEK (203 Czech Republic, belonging to the institution) and Martin KOMENDA (203 Czech Republic, belonging to the institution)

Edition

First edition. Brno, Data-driven decision-making in medical education and healthcare, p. 355-371, 17 pp. Data Rulezzzz! 2023

Publisher

Masarykova univerzita / Ústav zdravotnických informací a statistiky ČR

Other information

Language

English

Type of outcome

Kapitola resp. kapitoly v odborné knize

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/00216224:14310/23:00132709

Organization unit

Faculty of Science

ISBN

978-80-280-0392-0

Keywords in English

Predictive models; COVID-19; capacity mapping; data analysis; interactive visualisation

Abstract

V originále

The global pandemic of COVID-19 has brought several new challenges for a wide range of scientific disciplines. Researchers from Masaryk University helped to address many of these issues. In general, quick and straightforward access to relevant and valid information is crucial for providing objective decision-making support when dealing with any possible epidemic situation in the Czech Republic in future, which might put pressure on the health system again. It can also contribute to evaluating better the effectiveness of the measures taken in the long term. This case study aims to present a solution for an online analytical tool for monitoring epidemic situations, taking into account the available options for managing bed, equipment and staff capacities and prospectively modelling the burden of the population under study, including its structure determined by the different stages of the disease and other factors. A robust web-based application has been designed to meet the requirements of integrating different data sources, including real-time analysis, and providing transparent interactive reporting of current status over available data in a standardised format. Its architecture allows for a quick and easy selection of suitable predictive models in several steps, then populating them with sample or custom data inputs according to the defined structure, setting the necessary parameters together with model calibration, and then displaying the visualisation of the mentioned models. An integral part of this is reporting the results of the predictions about the data describing the occupancy of inpatient care capacities.

Links

MUNI/11/02202001/2020, interní kód MU

Name: Online platforma pro monitoring, analýzu a management epidemických situací v reálném čase

Investor: Masaryk University

Citovat

PAVLÍK, Tomáš, Lenka PŘIBYLOVÁ, Veronika ECLEROVÁ, Ondřej MÁJEK, Andrea KRAUS, David KRAUS, Ladislav DUŠEK and Martin KOMENDA. Management tool for epidemic monitoring, analysis, and visualisation. In Martin Komenda. Data-driven decision-making in medical education and healthcare. First edition. Brno: Masarykova univerzita / Ústav zdravotnických informací a statistiky ČR, 2023, p. 355-371. Data Rulezzzz! ISBN 978-80-280-0392-0.

@inbook{2354837,
   author = {Pavlík, Tomáš and Přibylová, Lenka and Eclerová, Veronika and Májek, Ondřej and Kraus, Andrea and Kraus, David and Dušek, Ladislav and Komenda, Martin},
   address = {Brno},
   booktitle = {Data-driven decision-making in medical education and healthcare},
   edition = {First edition},
   editor = {Martin Komenda},
   keywords = {Predictive models; COVID-19; capacity mapping; data analysis; interactive visualisation},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Brno},
   isbn = {978-80-280-0392-0},
   pages = {355-371},
   publisher = {Masarykova univerzita / Ústav zdravotnických informací a statistiky ČR},
   title = {Management tool for epidemic monitoring, analysis, and visualisation},
   url = {https://iba.med.muni.cz/en/data-rulezzz},
   year = {2023}
}

TY  - CHAP
ID  - 2354837
AU  - Pavlík, Tomáš - Přibylová, Lenka - Eclerová, Veronika - Májek, Ondřej - Kraus, Andrea - Kraus, David - Dušek, Ladislav - Komenda, Martin
PY  - 2023
TI  - Management tool for epidemic monitoring, analysis, and visualisation
VL  - Data Rulezzzz!
PB  - Masarykova univerzita / Ústav zdravotnických informací a statistiky ČR
CY  - Brno
SN  - 9788028003920
KW  - Predictive models
KW  - COVID-19
KW  - capacity mapping
KW  - data analysis
KW  - interactive visualisation
UR  - https://iba.med.muni.cz/en/data-rulezzz
N2  - The global pandemic of COVID-19 has brought several new challenges for a wide range of scientific disciplines. Researchers from Masaryk University helped to address many of these issues. In general, quick and straightforward access to relevant and valid information is crucial for providing objective decision-making support when dealing with any possible epidemic situation in the Czech Republic in future, which might put pressure on the health system again. It can also contribute to evaluating better the effectiveness of the measures taken in the long term. This case study aims to present a solution for an online analytical tool for monitoring epidemic situations, taking into account the available options for managing bed, equipment and staff capacities and prospectively modelling the burden of the population under study, including its structure determined by the different stages of the disease and other factors. A robust web-based application has been designed to meet the requirements of integrating different data sources, including real-time analysis, and providing transparent interactive reporting of current status over available data in a standardised format. Its architecture allows for a quick and easy selection of suitable predictive models in several steps, then populating them with sample or custom data inputs according to the defined structure, setting the necessary parameters together with model calibration, and then displaying the visualisation of the mentioned models. An integral part of this is reporting the results of the predictions about the data describing the occupancy of inpatient care capacities.
ER  -

PAVLÍK, Tomáš, Lenka PŘIBYLOVÁ, Veronika ECLEROVÁ, Ondřej MÁJEK, Andrea KRAUS, David KRAUS, Ladislav DUŠEK and Martin KOMENDA. Management tool for epidemic monitoring, analysis, and visualisation. In Martin Komenda. \textit{Data-driven decision-making in medical education and healthcare}. First edition. Brno: Masarykova univerzita / Ústav zdravotnických informací a statistiky ČR, 2023, p.~355-371. Data Rulezzzz! ISBN~978-80-280-0392-0.

Detailed Information on Publication Record