Geospatial Intelligence in Dealing with COVID-19 Challenges in Czechia

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00121740" target="_blank" >RIV/00216224:14310/21:00121740 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.routledge.com/COVID-19-Pandemic-Geospatial-Information-and-Community-Resilience-Global/Rajabifard-Paez-Foliente/p/book/9780367775315" target="_blank" >https://www.routledge.com/COVID-19-Pandemic-Geospatial-Information-and-Community-Resilience-Global/Rajabifard-Paez-Foliente/p/book/9780367775315</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Geospatial Intelligence in Dealing with COVID-19 Challenges in Czechia

Popis výsledku v původním jazyce

The presented research deals with aspects of geospatial support to the COVID-19 in the Czechia. The first three cases of the disease were confirmed on March 1, 2020. Geospatial intelligence has played an important role in analysing and predicting the spread of the disease, in designing and optimizing measures against it, and in reducing harm. Three categories of applications were identified and described when following the conducted analysis of the content and purpose of COVID-19-related geospatial applications and solutions. The first, the visual analytics of COVID-19-related health statistics follows the concept of multiple coordinated views and dynamic queries. This category of applications uses various official or semi-official sources of geospatial data and their presentation in interactive web maps. The second, different tracking applications or tools for analysis of people’s movement and identification of risky contacts was implemented. In the Czechia, these are for example eRouska mobile application and movement tracking in the Mapy.cz application. The third category represents decision support systems for public administration, emergency services and volunteers. Example of this category is the interactive map of registered volunteers used by coordination centre established by Masaryk University (MUNI) in Brno, Czechia. The advantages, limitations, and possible future directions of the mentioned applications of geospatial intelligence are discussed in the conclusions.

Název v anglickém jazyce

Geospatial Intelligence in Dealing with COVID-19 Challenges in Czechia

Popis výsledku anglicky

The presented research deals with aspects of geospatial support to the COVID-19 in the Czechia. The first three cases of the disease were confirmed on March 1, 2020. Geospatial intelligence has played an important role in analysing and predicting the spread of the disease, in designing and optimizing measures against it, and in reducing harm. Three categories of applications were identified and described when following the conducted analysis of the content and purpose of COVID-19-related geospatial applications and solutions. The first, the visual analytics of COVID-19-related health statistics follows the concept of multiple coordinated views and dynamic queries. This category of applications uses various official or semi-official sources of geospatial data and their presentation in interactive web maps. The second, different tracking applications or tools for analysis of people’s movement and identification of risky contacts was implemented. In the Czechia, these are for example eRouska mobile application and movement tracking in the Mapy.cz application. The third category represents decision support systems for public administration, emergency services and volunteers. Example of this category is the interactive map of registered volunteers used by coordination centre established by Masaryk University (MUNI) in Brno, Czechia. The advantages, limitations, and possible future directions of the mentioned applications of geospatial intelligence are discussed in the conclusions.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

50700 - Social and economic geography

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

COVID-19 Pandemic, Geospatial Information, and Community Resilience: Global Applications and Lessons

ISBN

9780367775315

Počet stran výsledku

6

Strana od-do

393-398

Počet stran knihy

558

Název nakladatele

CRC Press

Místo vydání

Neuveden

Kód UT WoS kapitoly

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