Evidence map›Paper›PMID 39979860›Full record

ArticleBMC infectious diseases2025

Social contacts and mixing patterns in rural Gambia.

Isaac Osei, Emmanuel Mendy, Kevin van Zandvoort, Benjamin Young, Olimatou Jobe, Golam Sarwar, Nuredin I Mohammed, Jane Bruce, Brian Greenwood, Stefan Flasche and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Homophily within and across groups.Nature communications · 2025
    Article
  2. 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

11 authors.

Isaac OseiMedical Research Council Unit The Gambia, London School of Hygiene & Tropical Medicine, PO Box 273, Banjul, West Africa, The Gambia. Isaac.Osei@lshtm.ac.uk.
Emmanuel MendyMedical Research Council Unit The Gambia, London School of Hygiene & Tropical Medicine, PO Box 273, Banjul, West Africa, The Gambia.
Kevin van ZandvoortDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Benjamin YoungMedical Research Council Unit The Gambia, London School of Hygiene & Tropical Medicine, PO Box 273, Banjul, West Africa, The Gambia.
Olimatou JobeMedical Research Council Unit The Gambia, London School of Hygiene & Tropical Medicine, PO Box 273, Banjul, West Africa, The Gambia.
Golam SarwarMedical Research Council Unit The Gambia, London School of Hygiene & Tropical Medicine, PO Box 273, Banjul, West Africa, The Gambia.
Nuredin I MohammedMedical Research Council Unit The Gambia, London School of Hygiene & Tropical Medicine, PO Box 273, Banjul, West Africa, The Gambia.
Jane BruceDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Brian GreenwoodDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Stefan FlascheDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Grant A MackenzieMedical Research Council Unit The Gambia, London School of Hygiene & Tropical Medicine, PO Box 273, Banjul, West Africa, The Gambia.

Funding

Bill and Melinda Gates Foundation OPP1138798
6 · The paper itself

Abstract

backgroundClose contact between an infectious and susceptible person is an important factor in respiratory disease transmission. Information on social contacts and mixing patterns in a population is crucial to understanding transmission patterns and informing transmission models of respiratory infections. Although West Africa has one of the highest burdens of respiratory infections, there is a lack of data on interpersonal contact and mixing patterns in this region.

methodsBetween January and November 2022, we conducted a cross-sectional, social contact survey within the population of the Central and Upper River Regions of The Gambia. Selected participants completed a questionnaire about their travel history and social contacts, detailing the number, intensity, location, frequency, duration, and age of contacts. We calculated age-standardized contact matrices to determine contact patterns in the population.

resultsOverall, individuals made an average of 12.7 (95% CI: 12.4-13.0) contacts per day. Contact patterns were mostly age-assortative and 84.5% of all contacts were physical. School-aged children (5-14 years) had the highest mean number of physical contacts (11.3, 95% CI: 10.9-11.8) while the < 1-year age group had the fewest contacts (9.4, 95% CI: 9.1-9.8). A large proportion of contacts (78%) occurred at home. Daily number of contacts increased with household size. While we did not observe any effect of gender on contact patterns, there were seasonal variations in contact type. Non-physical contacts were higher during the dry season compared to the rainy season. In contrast, there were more physical contacts in the rainy season compared to the dry season.

conclusionsIn rural Gambia, social contact patterns were primarily driven by household mixing. Most contacts were physical and mostly age-assortative, particularly among school-aged children. Our data can improve infectious disease transmission models of respiratory pathogens in high-transmission settings, which are valuable for optimizing the delivery of different interventions.

Indexed as

Contact TracingRespiratory Tract InfectionsRural PopulationAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesFemaleGambiaHumansInfantMaleMiddle AgedSurveys and QuestionnairesInfectious diseasesMixing patternsPathogen transmissionSocial contactsThe Gambia

Identifiers

PMID39979860
PMCPMC11844039

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.