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At the time of the COVID-19 pandemic, providing access to data (properly optimised regarding personal data protection) plays a crucial role in providing the general public and media with up-to-date information. Open datasets also represent one of the means for evaluation of the pandemic on a global level. The primary aim of this paper is to describe the methodological and technical framework for publishing datasets describing characteristics related to the COVID-19 epidemic in the Czech Republic (epidemiology, hospital-based care, vaccination), including the use of these datasets in practice. Practical aspects and experience with data sharing are discussed. As a reaction to the epidemic situation, a new portal COVID-19: Current Situation in the Czech Republic (https://onemocneni-aktualne.mzcr.cz/covid-19) was developed and launched in March 2020 to provide a fully-fledged and trustworthy source of information for the public and media. The portal also contains a section for the publication of (i) public open datasets available for download in CSV and JSON formats and (ii) authorised-access-only section where the authorised persons can (through an online generated token) safely visualise or download regional datasets with aggregated data at the level of the individual municipalities and regions. The data are also provided to the local open data catalogue (covering only open data on healthcare, provided by the Ministry of Health) and to the National Catalogue of Open Data (covering all open data sets, provided by various authorities/publishers, and harversting all data from local catalogues). The datasets have been published in various authentication regimes and widely used by general public, scientists, public authorities and decision-makers. The total number of API calls since its launch in March 2020 to 15 December 2020 exceeded 13 million. The datasets have been adopted as an official and guaranteed source for outputs of third parties, including public authorities, non-governmental organisations, scientists and online news portals. Datasets currently published as open data meet the 3-star open data requirements, which makes them machine-readable and facilitates their further usage without restrictions. This is essential for making the data more easily understandable and usable for data consumers. In conjunction with the strategy of the MH in the field of data opening, additional datasets meeting the already implemented standards will be also released, both on COVID-19 related and unrelated topics.

Článek

Covidogram as a simple tool for predicting severe course of COVID-19: population-based study

BMJ open. 2021 ; 11 (2) : e045442. [pub] 20210223

BMJ Open
ISSN 2044-6055
Medvik
Zdroj

OBJECTIVES: COVID-19 might either be entirely asymptomatic or manifest itself with a large variability of disease severity. It is beneficial to identify early patients with a high risk of severe course. The aim of the analysis was to develop a prognostic model for the prediction of the severe course of acute respiratory infection. DESIGN: A population-based study. SETTING: Czech Republic. PARTICIPANTS: The first 7455 consecutive patients with COVID-19 who were identified by reverse transcription-PCR testing from 1 March 2020 to 17 May 2020. PRIMARY OUTCOME: Severe course of COVID-19. RESULT: Of a total 6.2% of patients developed a severe course of COVID-19. Age, male sex, chronic kidney disease, chronic obstructive pulmonary disease, recent history of cancer, chronic heart failure, acid-related disorders treated with proton-pump inhibitors and diabetes mellitus were found to be independent negative prognostic factors (Area under the ROC Curve (AUC) was 0.893). The results were visualised by risk heat maps, and we called this diagram a 'covidogram'. Acid-related disorders treated with proton-pump inhibitors might represent a negative prognostic factor. CONCLUSION: We developed a very simple prediction model called 'covidogram', which is based on elementary independent variables (age, male sex and the presence of several chronic diseases) and represents a tool that makes it possible to identify-with a high reliability-patients who are at risk of a severe course of COVID-19. Obtained results open clinically relevant question about the role of acid-related disorders treated by proton-pump inhibitors as predictor for severe course of COVID-19.

Článek

Tři otázky o vakcinaci pro hlavní hygieničku MUDr. Jarmilu Rážovou, Ph.D. - rozhovor

Rážová, Jarmila, 1961-
Autor Autorita

Medical tribune. 2020 ; 16 (26) : A7. [pub] 20201222

ISSN 1214-8911
Medvik
Zdroj

Web zdroj

Metodický pokyn hlavní hygieničky České republiky k jednotnému postupu krajských hygienických stanic při rozhodování o ukončování karantén u rodinných kontaktů a intervalu trasování pro kontakty asymptomatických covid-19 pozitivních osob

Rážová, Jarmila, 1961-
Autor Autorita

Praha : Ministerstvo zdravotnictví České republiky, 2020

3 strany

Metodický pokyn ohledně ukončování karantény a intervalu trasování krajskými hygienickými stanicemi v době pandemie COVID-19.

MeSH
COVID-19 přenos prevence a kontrola MeSH
karanténa MeSH
přenos infekční nemoci prevence a kontrola MeSH
Publikační typ
směrnice MeSH

Web zdroj

Metodický pokyn hlavní hygieničky České republiky k jednotnému postupu krajských hygienických stanic při konání sportovních akcí

Rážová, Jarmila, 1961-
Autor Autorita

Praha : Ministerstvo zdravotnictví České republiky, 2020

2 nečíslované strany

Jednotný postup pro krajské hygienické stanice při konání sportovních akcí v době epidemie COVID-19.

MeSH
COVID-19 prevence a kontrola MeSH
přenos infekční nemoci prevence a kontrola MeSH
Publikační typ
směrnice MeSH

Web zdroj

Metodický pokyn hlavní hygieničky České republiky k jednotnému postupu krajských hygienických stanic při rozhodování o nařízení karanténních opatření osobám, které byly v úzkém kontaktu s osobou, u které bylo laboratorním vyšetření prokázáno onemocnění covid-19, jejich zaměstnavatel je prohlásil za osoby nezbytné pro zabezpečení chodu kritické infrastruktury státu nebo k zabezpečení činností obdobně nezbytných

Rážová, Jarmila, 1961-
Autor Autorita

Praha : Ministerstvo zdravotnictví České republiky, 2020

2 nečíslované strany

Jednotný postup krajských hygienických stanic ohledně rozhodování o karanténních opatřeních u osob nezbytných pro zabezpečení chodu kritické infrastruktury státu.