Evidence map›Paper›PMID 35455925›Full record

ArticleHealthcare (Basel, Switzerland)2022

Socio-Economic, Demographic and Health Determinants of the COVID-19 Outbreak.

Ayfer Ozyilmaz, Yuksel Bayraktar, Metin Toprak, Esme Isik, Tuncay Guloglu, Serdar Aydin, Mehmet Firat Olgun, Mustafa Younis

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Ayfer OzyilmazDepartment of Foreign Trade, Kocaeli University, Kocaeli 41650, Turkey.ORCID 0000-0001-9201-2508
Yuksel BayraktarDepartment of Economics, Istanbul University, Istanbul 34452, Turkey.
Metin ToprakDepartment of Economics, Istanbul Sabahattin Zaim University, Istanbul 34303, Turkey.
Esme IsikDepartment of Optician, Malatya Turgut Ozal University, Malatya 44700, Turkey.ORCID 0000-0002-6179-5746
Tuncay GulogluDepartment of Labor Economics and Industrial Relations, Yalova University, Yalova 77100, Turkey.
Serdar AydinSchool of Health Sciences, Southern Illinois University Carbondale, 1365 Douglas, Drive, Carbondale, IL 62901, USA.
Mehmet Firat OlgunRectorate, Kastamonu University, Kastamonu 37150, Turkey.
Mustafa YounisCollege of Health Sciences, Jackson State University, Jackson, MS 39217, USA.ORCID 0000-0001-8448-808X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn this study, the effects of social and health indicators affecting the number of cases and deaths of the COVID-19 pandemic were examined. For the determinants of the number of cases and deaths, four models consisting of social and health indicators were created.

methodsIn this quantitative research, 93 countries in the model were used to obtain determinants of the confirmed cases and determinants of the COVID-19 fatalities.

resultsThe results obtained from Model I, in which the number of cases was examined with social indicators, showed that the number of tourists, the population between the ages of 15 and 64, and institutionalization had a positive effect on the number of cases. The results obtained from the health indicators of the number of cases show that cigarette consumption affects the number of cases positively in the 50th quantile, the death rate under the age of five affects the number of cases negatively in all quantiles, and vaccination positively affects the number of cases in 25th and 75th quantile values. Findings from social indicators of the number of COVID-19 deaths show that life expectancy negatively affects the number of deaths in the 25th and 50th quantiles. The population over the age of 65 and CO

conclusionThe population aged 15-64 has a strong impact on COVID-19 cases, but in COVID-19 deaths, life expectancy is a strong variable. On the other hand, it has been found that vaccination and the number of cases interaction term has an effect on the mortality rate. The number of cases has a non-linear effect on the number of deaths.

Indexed as

COVID-19healthprevalence of COVID-19quantile regressionsocioeconomic

Identifiers

PMID35455925
PMCPMC9031016

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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.