Complex Reporting of the COVID-19 Epidemic in the Czech Republic: Use of an Interactive Web-Based App in Practice

Autor: Petra Ruzicková, Jan Marounek, Vojtech Bulhart, Lenka Šnajdrová, Matej Karolyi, Pavel Brezovský, Vladimír Černý, Martin Komenda, Ondrej Majek, Jan Muzik, Jirí Jarkovský, Roman Prymula, Barbora Macková, Jarmila Razova, Ladislav Dušek
Rok vydání: 2020
Předmět:
Czech
Knowledge management
Computer science
health data
web app
0302 clinical medicine
Health care
Information system
030212 general & internal medicine
app
Czech Republic
0303 health sciences
education.field_of_study
lcsh:Public aspects of medicine
public health
3. Good health
CRISP-DM
coronavirus disease
language
lcsh:R858-859.7
The Internet
epidemiology
Coronavirus Infections
Population
Pneumonia
Viral
Health Informatics
virus
lcsh:Computer applications to medicine. Medical informatics
03 medical and health sciences
Betacoronavirus
Web application
Humans
education
Pandemics
030304 developmental biology
Government
Internet
Original Paper
Data collection
business.industry
SARS-CoV-2
COVID-19
lcsh:RA1-1270
modeling
data mining
interactive reporting
language.human_language
business
Software
epidemiological overview
Zdroj: Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 5, p e19367 (2020)
ISSN: 1438-8871
Popis: Background The beginning of the coronavirus disease (COVID-19) epidemic dates back to December 31, 2019, when the first cases were reported in the People’s Republic of China. In the Czech Republic, the first three cases of infection with the novel coronavirus were confirmed on March 1, 2020. The joint effort of state authorities and researchers gave rise to a unique team, which combines methodical knowledge of real-world processes with the know-how needed for effective processing, analysis, and online visualization of data. Objective Due to an urgent need for a tool that presents important reports based on valid data sources, a team of government experts and researchers focused on the design and development of a web app intended to provide a regularly updated overview of COVID-19 epidemiology in the Czech Republic to the general population. Methods The cross-industry standard process for data mining model was chosen for the complex solution of analytical processing and visualization of data that provides validated information on the COVID-19 epidemic across the Czech Republic. Great emphasis was put on the understanding and a correct implementation of all six steps (business understanding, data understanding, data preparation, modelling, evaluation, and deployment) needed in the process, including the infrastructure of a nationwide information system; the methodological setting of communication channels between all involved stakeholders; and data collection, processing, analysis, validation, and visualization. Results The web-based overview of the current spread of COVID-19 in the Czech Republic has been developed as an online platform providing a set of outputs in the form of tables, graphs, and maps intended for the general public. On March 12, 2020, the first version of the web portal, containing fourteen overviews divided into five topical sections, was released. The web portal’s primary objective is to publish a well-arranged visualization and clear explanation of basic information consisting of the overall numbers of performed tests, confirmed cases of COVID-19, COVID-19-related deaths, the daily and cumulative overviews of people with a positive COVID-19 case, performed tests, location and country of infection of people with a positive COVID-19 case, hospitalizations of patients with COVID-19, and distribution of personal protective equipment. Conclusions The online interactive overview of the current spread of COVID-19 in the Czech Republic was launched on March 11, 2020, and has immediately become the primary communication channel employed by the health care sector to present the current situation regarding the COVID-19 epidemic. This complex reporting of the COVID-19 epidemic in the Czech Republic also shows an effective way to interconnect knowledge held by various specialists, such as regional and national methodology experts (who report positive cases of the disease on a daily basis), with knowledge held by developers of central registries, analysts, developers of web apps, and leaders in the health care sector.
Databáze: OpenAIRE
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