Evidence map›Paper›PMID 39392883›Full record

ArticleScience advances2024

Generalized contact matrices allow integrating socioeconomic variables into epidemic models.

Adriana Manna, Lorenzo Dall'Amico, Michele Tizzoni, Márton Karsai, Nicola Perra

Erratum issuedAbstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  6. Partisan differences in health behaviors can impact respiratory disease dynamics.medRxiv : the preprint server for health sciences · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Adriana MannaDepartment of Network and Data Science, Central European University, Vienna, Austria.ORCID 0009-0005-8195-861X
Lorenzo Dall'AmicoISI Foundation, Turin, Italy.ORCID 0000-0002-7493-6421
Michele TizzoniDepartment of Sociology and Social Research, University of Trento, Trento, Italy.ORCID 0000-0001-7246-2341
Márton KarsaiDepartment of Network and Data Science, Central European University, Vienna, Austria.
Nicola PerraSchool of Mathematical Sciences, Queen Mary University of London, London, UK.ORCID 0000-0002-5559-3064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variables related to socioeconomic status (SES), including income, ethnicity, and education, shape contact structures and affect the spread of infectious diseases. However, these factors are often overlooked in epidemic models, which typically stratify social contacts by age and interaction contexts. Here, we introduce and study generalized contact matrices that stratify contacts across multiple dimensions. We demonstrate a lower-bound theorem proving that disregarding additional dimensions, besides age and context, might lead to an underestimation of the basic reproductive number. By using SES variables in both synthetic and empirical data, we illustrate how generalized contact matrices enhance epidemic models, capturing variations in behaviors such as heterogeneous levels of adherence to nonpharmaceutical interventions among demographic groups. Moreover, we highlight the importance of integrating SES traits into epidemic models, as neglecting them might lead to substantial misrepresentation of epidemic outcomes and dynamics. Our research contributes to the efforts aiming at incorporating socioeconomic and other dimensions into epidemic modeling.

Indexed as

EpidemicsSocioeconomic FactorsCommunicable DiseasesHumansSocial Class

Identifiers

PMID39392883
PMCPMC11468902

What OpenQuestion holds

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Registered trials

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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.