Evidence map›Paper›PMID 35330387›Full record

ArticleJournal of personalized medicine2022

Characteristics of the Third COVID-19 Pandemic Wave with Special Focus on Socioeconomic Inequalities in Morbidity, Mortality and the Uptake of COVID-19 Vaccination in Hungary.

Beatrix Oroszi, Attila Juhász, Csilla Nagy, Judit Krisztina Horváth, Krisztina Eszter Komlós, Gergő Túri, Martin McKee, Róza Ádány

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Spatial Autocorrelation of COVID-19 in Slovakia.Tropical medicine and infectious disease · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Article
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 at 3 institutions in 2 countries.

Beatrix OrosziEpidemiology and Surveillance Centre, Semmelweis University, 25. Üllői Street, 1085 Budapest, Hungary.
Attila JuhászDepartment of Public Health, Government Office of Capital City Budapest, 174. Váci Avenue, 1138 Budapest, Hungary.ORCID 0000-0002-7839-6098
Csilla NagyDepartment of Public Health, Government Office of Capital City Budapest, 174. Váci Avenue, 1138 Budapest, Hungary.
Judit Krisztina HorváthEpidemiology and Surveillance Centre, Semmelweis University, 25. Üllői Street, 1085 Budapest, Hungary.
Krisztina Eszter KomlósEpidemiology and Surveillance Centre, Semmelweis University, 25. Üllői Street, 1085 Budapest, Hungary.ORCID 0000-0003-2387-7094
Gergő TúriEpidemiology and Surveillance Centre, Semmelweis University, 25. Üllői Street, 1085 Budapest, Hungary.ORCID 0000-0003-3465-8321
Martin McKeeEuropean Centre on Health of Societies in Transition (ECOHOST), London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Róza ÁdányMTA-DE-Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 26. Kassai Street, 4028 Debrecen, Hungary.ORCID 0000-0002-9679-6669
Semmelweis University · HUGovernment of Hungary · HULondon School of Hygiene & Tropical Medicine · GB

Funding

Hungarian Academy of Sciences TK2016-78, project no. 135784National Research, Development and Innovation Fund of Hungary financed under the K_20 funding scheme
6 · The paper itself

Abstract

Governments are increasingly looking to vaccination to provide a path out of the COVID-19 pandemic. Hungary offers an example to investigate whether social inequalities compromise what a successful vaccine program can achieve. COVID-19 morbidity, mortality, and vaccination coverage were characterized by calculation of indirectly standardized ratios in the Hungarian population during the third pandemic wave at the level of municipalities, classified into deprivation quintiles. Then, their association with socioeconomic deprivation was assessed using ecological regression. Compared to the national average, people living in the most deprived municipalities had a 15-24% lower relative incidence of confirmed COVID-19 cases, but a 17-37% higher relative mortality and a 38% lower vaccination coverage. At an ecological level, COVID-19 mortality showed a strong positive association with deprivation and an inverse association with vaccination coverage (RR

Indexed as

COVID-19deprivationexcess mortalitymorbiditymortalityRomasocioeconomic inequitiesvaccination coverage

Identifiers

PMID35330387
PMCPMC8954719
OpenAlexW4214868862

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.