Evidence map›Paper›PMID 38483886›Full record

ArticlePloS one2024

Estimating household contact matrices structure from easily collectable metadata.

Lorenzo Dall'Amico, Jackie Kleynhans, Laetitia Gauvin, Michele Tizzoni, Laura Ozella, Mvuyo Makhasi, Nicole Wolter, Brigitte Language, Ryan G Wagner, Cheryl Cohen and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Social interactions in isolated, confined, and extreme environments: A study of Antarctic winter teams using wearable sensors.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

12 authors.

Lorenzo Dall'AmicoISI Foundation, Turin, Italy.ORCID 0000-0002-7493-6421
Jackie KleynhansNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0001-7081-6273
Laetitia GauvinISI Foundation, Turin, Italy.ORCID 0000-0003-3085-8641
Michele TizzoniISI Foundation, Turin, Italy.ORCID 0000-0001-7246-2341
Laura OzellaISI Foundation, Turin, Italy.
Mvuyo MakhasiNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Nicole WolterNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Brigitte LanguageUnit for Environmental Science and Management, Climatology Research Group, North-West University, Potchefstroom, South Africa.ORCID 0000-0002-9942-7930
Ryan G WagnerMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), Agincourt, South Africa.ORCID 0000-0003-2741-3676
Cheryl CohenNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Stefano TempiaNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Ciro CattutoISI Foundation, Turin, Italy.

Funding

Research on the Epidemiology,Prevention,Vaccine Effectiveness and Treatment of Influenza and Other Respiratory Viruses in South Africa.09U01IP001048 · IP · NATIONAL HEALTH LABORATORY SERVICE · PI COHEN, CHERYL · 2016 to 2020
$19.9M
NCIRD CDC HHS U01 IP001048
6 · The paper itself

Abstract

Contact matrices are a commonly adopted data representation, used to develop compartmental models for epidemic spreading, accounting for the contact heterogeneities across age groups. Their estimation, however, is generally time and effort consuming and model-driven strategies to quantify the contacts are often needed. In this article we focus on household contact matrices, describing the contacts among the members of a family and develop a parametric model to describe them. This model combines demographic and easily quantifiable survey-based data and is tested on high resolution proximity data collected in two sites in South Africa. Given its simplicity and interpretability, we expect our method to be easily applied to other contexts as well and we identify relevant questions that need to be addressed during the data collection procedure.

Indexed as

EpidemicsMetadataContact TracingEpidemiological ModelsSouth AfricaSurveys and Questionnaires

Identifiers

PMID38483886
PMCPMC10939291

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.