ArticleEPJ data science2016
Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors.
Article in EPJ data science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Close encounters between infants and household members measured through wearable proximity sensors.PloS one · 2018Trial
- Role-specific household contact patterns in urban and rural China: Implications for influenza household transmission.Infectious Disease Modelling · 2027Article
- 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 · 2026Article
- Relationship between household attributes and contact patterns in urban and rural South Africa.PloS one · 2026Article
- The relative contribution of close-proximity contacts, shared classroom exposure and indoor air quality to respiratory virus transmission in schools.Nature communications · 2025Article
- Comparison of contact diaries and wearable proximity sensors in measuring household contacts in low- and middle-income countries.medRxiv : the preprint server for health sciences · 2025Article
- The relative contribution of close-proximity contacts, shared classroom exposure and indoor air quality to respiratory virus transmission in schools.medRxiv : the preprint server for health sciences · 2025Article
- Social contacts and mixing patterns in rural Gambia.BMC infectious diseases · 2025Article
- Social Contact Patterns in Rural and Urban Settings, Mozambique, 2021-2022.Emerging infectious diseases · 2025Article
- Addressing current limitations of household transmission studies by collecting contact data.American journal of epidemiology · 2024Article
- Spatial spread of COVID-19 during the early pandemic phase in Italy.BMC infectious diseases · 2024Article
- An automated, data-driven approach to children's social dynamics in space and time.Child development perspectives · 2024Article
- Wearable Systems for Unveiling Collective Intelligence in Clinical Settings.Sensors (Basel, Switzerland) · 2023Review
- A mixed-method approach to determining contact matrices in the Cox's Bazar refugee settlement.Royal Society open science · 2023Article
- Fixation probability in evolutionary dynamics on switching temporal networks.Journal of mathematical biology · 2023Article
- Association of close-range contact patterns with SARS-CoV-2: a household transmission study.eLife · 2023Article
- Characterising social contacts under COVID-19 control measures in Africa.BMC medicine · 2022Article
- Addressing the socioeconomic divide in computational modeling for infectious diseases.Nature communications · 2022Article
- Article
- Using social contact data to improve the overall effect estimate of a cluster-randomized influenza vaccination program in Senegal.Journal of the Royal Statistical Society. Series C, Applied statistics · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Close proximity interactions between individuals influence how infections spread. Quantifying close contacts in developing world settings, where such data is sparse yet disease burden is high, can provide insights into the design of intervention strategies such as vaccination. Recent technological advances have enabled collection of time-resolved face-to-face human contact data using radio frequency proximity sensors. The acceptability and practicalities of using proximity devices within the developing country setting have not been investigated. We present and analyse data arising from a prospective study of 5 households in rural Kenya, followed through 3 consecutive days. Pre-study focus group discussions with key community groups were held. All residents of selected households carried wearable proximity sensors to collect data on their close (<1.5 metres) interactions. Data collection for residents of three of the 5 households was contemporaneous. Contact matrices and temporal networks for 75 individuals are defined and mixing patterns by age and time of day in household contacts determined. Our study demonstrates the stability of numbers and durations of contacts across days. The contact durations followed a broad distribution consistent with data from other settings. Contacts within households occur mainly among children and between children and adults, and are characterised by daily regular peaks in the morning, midday and evening. Inter-household contacts are between adults and more sporadic when measured over several days. Community feedback indicated privacy as a major concern especially regarding perceptions of non-participants, and that community acceptability required thorough explanation of study tools and procedures. Our results show for a low resource setting how wearable proximity sensors can be used to objectively collect high-resolution temporal data without direct supervision. The methodology appears acceptable in this population following adequate community engagement on study procedures. A target for future investigation is to determine the difference in contact networks within versus between households. We suggest that the results from this study may be used in the design of future studies using similar electronic devices targeting communities, including households and schools, in the developing world context. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1140/epjds/s13688-016-0084-2) contains supplementary material.
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