Efficiency evaluation of the health care system during COVID-19 pandemic in districts of the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F21%3A10248553" target="_blank" >RIV/61989100:27510/21:10248553 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2021.czu.cz/en" target="_blank" >https://mme2021.czu.cz/en</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Efficiency evaluation of the health care system during COVID-19 pandemic in districts of the Czech Republic

Popis výsledku v původním jazyce

The article deals with the assessment and evaluation of the performance of the health care system in managing the COVID-19 pandemic, which reflects the situation in 77 districts of the Czech Republic at the time of the 3rd peak (March 6, 2021) with 9130 confirmed positive cases. Data envelopment analysis (DEA) is used for this research with 4 inputs (population, incidence in the previous 14 days, the incidence in the previous 14 days at age 65+, capacity of test facilities) and desired output (number of recovered patients) and undesirable output (number of deaths). The DEA model includes non-radial measures and non-proportional changes in output variables. The results document that it is most appropriate to use the DEA model M3 with the desired reduction in deaths and an increase in the number of recoveries. For this model, 35% of districts in the Czech Republic has been effective. The main problem with failure to be effective was the high number of COVID-19-related deaths.

Název v anglickém jazyce

Efficiency evaluation of the health care system during COVID-19 pandemic in districts of the Czech Republic

Popis výsledku anglicky

The article deals with the assessment and evaluation of the performance of the health care system in managing the COVID-19 pandemic, which reflects the situation in 77 districts of the Czech Republic at the time of the 3rd peak (March 6, 2021) with 9130 confirmed positive cases. Data envelopment analysis (DEA) is used for this research with 4 inputs (population, incidence in the previous 14 days, the incidence in the previous 14 days at age 65+, capacity of test facilities) and desired output (number of recovered patients) and undesirable output (number of deaths). The DEA model includes non-radial measures and non-proportional changes in output variables. The results document that it is most appropriate to use the DEA model M3 with the desired reduction in deaths and an increase in the number of recoveries. For this model, 35% of districts in the Czech Republic has been effective. The main problem with failure to be effective was the high number of COVID-19-related deaths.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50200 - Economics and Business

Projekt

<a href="/cs/project/GA19-13946S" target="_blank" >GA19-13946S: Hodnocení výkonnosti při výskytu neklasifikovaných faktorů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

MME2021 : Proceedings of the 39th International Conference on Mathematical Methods in Economics : 8th - 10th September 2021, Prague, Czech Republic, EU

ISBN

978-80-213-3126-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

141-146

Název nakladatele

Czech University of Life Sciences Prague

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

8. 9. 2021

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000936369700023