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Non-Spatial Data towards Spatially Located News about COVID-19: A Semi-Automated Aggregator of Pandemic Data from (Social) Media within the Olomouc Region, Czechia

Author

Listed:
  • Jakub Konicek

    (Department of Geoinformatics, Palacký University in Olomouc, 17. listopadu 50, 77146 Olomouc, Czech Republic)

  • Rostislav Netek

    (Department of Geoinformatics, Palacký University in Olomouc, 17. listopadu 50, 77146 Olomouc, Czech Republic)

  • Tomas Burian

    (Department of Geoinformatics, Palacký University in Olomouc, 17. listopadu 50, 77146 Olomouc, Czech Republic)

  • Tereza Novakova

    (Department of Geoinformatics, Palacký University in Olomouc, 17. listopadu 50, 77146 Olomouc, Czech Republic)

  • Jakub Kaplan

    (Department of Geoinformatics, Palacký University in Olomouc, 17. listopadu 50, 77146 Olomouc, Czech Republic)

Abstract

The article describes the process of aggregation of media-based data about the coronavirus pandemic in the Olomouc region, the Czech Republic. Originally non-spatially located news from different sources and various platforms (government, social media, news portals) were automatically aggregated into a centralized database. The application “COVID-map” is an interactive web map solution which visualizes records from the database in a spatial way. The COVID-map has been developed within the Ad hoc online hackathon as an academic project at the Department of Geoinformatics, Palacký University Olomouc, Czech Republic. Alongside spatially localized data, the map application collects statistical data from official sources e.g., from the governmental crisis management office. The impact of the application was immediate. Within a few days after the launch, tens of thousands users per day visited the COVID-map. It has been published by regional and national media. The COVID-map solution could be considered as a suitable implementation of the correctly used cartographical method for the example of the coronavirus pandemic.

Suggested Citation

  • Jakub Konicek & Rostislav Netek & Tomas Burian & Tereza Novakova & Jakub Kaplan, 2020. "Non-Spatial Data towards Spatially Located News about COVID-19: A Semi-Automated Aggregator of Pandemic Data from (Social) Media within the Olomouc Region, Czechia," Data, MDPI, vol. 5(3), pages 1-19, August.
  • Handle: RePEc:gam:jdataj:v:5:y:2020:i:3:p:76-:d:406230
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    References listed on IDEAS

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    1. Marian STOICA & Bogdan GHILIC-MICU & Marinela MIRCEA & Cristian USCATU, 2016. "Analyzing Agile Development – from Waterfall Style to Scrumban," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 20(4), pages 5-14.
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