Evidence map›Paper›PMID 38755162›Full record

ArticleNature communications2024

Importance of social inequalities to contact patterns, vaccine uptake, and epidemic dynamics.

Adriana Manna, Júlia Koltai, Márton Karsai

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  13. Contact behaviour before, during and after the COVID-19 pandemic in the Netherlands: evidence from contact surveys, 2016 to 2017 and 2020 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  14. 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

3 authors.

Adriana MannaDepartment of Network and Data Science, Central European University, Quellenstraße 51, Vienna, 1100, Austria.ORCID http://orcid.org/0009-0005-8195-861X
Júlia KoltaiNational Laboratory for Health Security, HUN-REN Centre for Social Sciences, Tóth Kálmán utca 4, Budapest, 1097, Hungary.ORCID http://orcid.org/0000-0002-8676-7303
Márton KarsaiDepartment of Network and Data Science, Central European University, Quellenstraße 51, Vienna, 1100, Austria. karsaim@ceu.edu.ORCID http://orcid.org/0000-0001-5382-8950

Funding

Agence Nationale de la Recherche (French National Research Agency) DATAREDUX ANR-19-CE46-0008
6 · The paper itself

Abstract

Individuals' socio-demographic and economic characteristics crucially shape the spread of an epidemic by largely determining the exposure level to the virus and the severity of the disease for those who got infected. While the complex interplay between individual characteristics and epidemic dynamics is widely recognised, traditional mathematical models often overlook these factors. In this study, we examine two important aspects of human behaviour relevant to epidemics: contact patterns and vaccination uptake. Using data collected during the COVID-19 pandemic in Hungary, we first identify the dimensions along which individuals exhibit the greatest variation in their contact patterns and vaccination uptake. We find that generally higher socio-economic groups of the population have a higher number of contacts and a higher vaccination uptake with respect to disadvantaged groups. Subsequently, we propose a data-driven epidemiological model that incorporates these behavioural differences. Finally, we apply our model to analyse the fourth wave of COVID-19 in Hungary, providing valuable insights into real-world scenarios. By bridging the gap between individual characteristics and epidemic spread, our research contributes to a more comprehensive understanding of disease dynamics and informs effective public health strategies.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2Socioeconomic FactorsVaccinationAdultAgedEpidemicsEpidemiological ModelsFemaleHumansHungaryMaleMiddle AgedPandemicsCOVID-19 Vaccines

Identifiers

PMID38755162
PMCPMC11099065

What OpenQuestion holds

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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.