Geospatial Intelligence in Dealing with COVID-19 Challenges in Czechia
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Geospatial Intelligence in Dealing with COVID-19 Challenges in Czechia
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50700 - Social and economic geography
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
COVID-19 Pandemic, Geospatial Information, and Community Resilience: Global Applications and Lessons
ISBN
9780367775315
Number of pages of the result
6
Pages from-to
393-398
Number of pages of the book
558
Publisher name
CRC Press
Place of publication
Neuveden
UT code for WoS chapter
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