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.

Základní údaje

Originální název

Management tool for epidemic monitoring, analysis, and visualisation

Autoři

PAVLÍK, Tomáš (203 Česká republika, domácí), Lenka PŘIBYLOVÁ (203 Česká republika, domácí), Veronika ECLEROVÁ (203 Česká republika, domácí), Ondřej MÁJEK (203 Česká republika, domácí), Andrea KRAUS (703 Slovensko, domácí), David KRAUS (203 Česká republika, domácí), Ladislav DUŠEK (203 Česká republika, domácí) a Martin KOMENDA (203 Česká republika, domácí)

Vydání

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

Nakladatel

Masarykova univerzita / Ústav zdravotnických informací a statistiky ČR

Další údaje

Jazyk

angličtina

Typ výsledku

Kapitola resp. kapitoly v odborné knize

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Kód RIV

RIV/00216224:14310/23:00132709

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-80-280-0392-0

Klíčová slova anglicky

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

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 2. 1. 2024 12:00, Mgr. Marie Šípková, DiS.

Anotace

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.

Návaznosti

MUNI/11/02202001/2020, interní kód MU

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

Investor: Masarykova univerzita, Online platforma pro monitoring, analýzu a management epidemických situací v reálném čase

Citovat

PAVLÍK, Tomáš, Lenka PŘIBYLOVÁ, Veronika ECLEROVÁ, Ondřej MÁJEK, Andrea KRAUS, David KRAUS, Ladislav DUŠEK a 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, s. 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 a 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, s.~355-371. Data Rulezzzz! ISBN~978-80-280-0392-0.

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