Evidence map›Paper›PMID 37372693›Full record

ArticleInternational journal of environmental research and public health2023

The Impact of the Organization of Public Health Systems on the Ability of Countries to Resist the COVID-19 Pandemic: The Experience of Developed Countries of the World and Ukraine.

Aleksandra Kuzior, Tetiana Vasylieva, Olga Liuta, Olha Deineka, Mariia Kashcha

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Aleksandra KuziorDepartment of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology, Roosevelt's Str. 26-28, 41-800 Zabrze, Poland.ORCID 0000-0001-9764-5320
Tetiana VasylievaDepartment of Financial Technologies and Entrepreneurship, Sumy State University, Petropavlivska Str. 57, 40000 Sumy, Ukraine.
Olga LiutaDepartment of Financial Technologies and Entrepreneurship, Sumy State University, Petropavlivska Str. 57, 40000 Sumy, Ukraine.
Olha DeinekaDepartment of Financial Technologies and Entrepreneurship, Sumy State University, Petropavlivska Str. 57, 40000 Sumy, Ukraine.
Mariia KashchaEconomic Cybernetics Department, Sumy State University, Petropavlivska Str. 57, 40000 Sumy, Ukraine.ORCID 0000-0001-9055-8304
Sumy State University · UASilesian University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the study is to analyze the presence of functional interrelationships between the level of funding of the healthcare sector and the country's ability to withstand any pandemic, using the example of the COVID-19 pandemic. Official indicators presented by the WHO, analytical reports by Numbeo (the world's largest cost-of-living database), and the Global Health Security Index were used for the study. Using these indicators, the authors analyzed the following: the level of the spread of coronavirus infections in the world's countries, the share of public expenditures on the development of the medical sphere in the GDP of the countries, and the development of the healthcare sector in 12 developed countries and Ukraine. These countries were grouped into three groups, based on the model of the organization of the healthcare sector (Beveridge model, Bismark model, Market (private) model). The Farrar-Glauber method was used to check for multicollinearity in the input dataset, and thirteen relevant indicators were selected. These indicators took part in the formation of the generalized characteristics of the country's medical sphere and the ability to resist the pandemic. The state of readiness of countries to resist the spread of coronavirus infections was assessed using the country's index of vulnerability to COVID-19 and the integral index of the development of medicine. Additive convolution was used in combination with sigma-limited parameterization to form an integral index of the country's vulnerability to COVID-19 and to determine the weights of each indicator. The convolution of indicators according to the Kolmogorov-Gabor polynomial was used to construct an integral index of the development of medicine. Thus, while analyzing the ability of countries to resist the pandemic in terms of models of organization of the healthcare sector, it should be noted that none of the models demonstrated absolute effectiveness in the fight against the mass spread of COVID-19. The calculations made it possible to determine the nature of the relationship between the integral indices of the development of medicine and the vulnerability of countries to COVID-19, as well as a country's potential ability to resist any pandemic and prevent the mass spread of infectious diseases.

Indexed as

COVID-19Developed CountriesHumansPandemicsPublic HealthUkrainemodels of healthcare financingpublic healthstate fundingthe integrated index of the country’s vulnerability to COVID-19the integrated index of the development of medicine

Identifiers

PMID37372693
PMCPMC10297962
OpenAlexW4380486172

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.