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Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors

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 a...

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Autores principales: Kiti, Moses C, Tizzoni, Michele, Kinyanjui, Timothy M, Koech, Dorothy C, Munywoki, Patrick K, Meriac, Milosch, Cappa, Luca, Panisson, André, Barrat, Alain, Cattuto, Ciro, Nokes, D James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944592/
https://www.ncbi.nlm.nih.gov/pubmed/27471661
http://dx.doi.org/10.1140/epjds/s13688-016-0084-2
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author Kiti, Moses C
Tizzoni, Michele
Kinyanjui, Timothy M
Koech, Dorothy C
Munywoki, Patrick K
Meriac, Milosch
Cappa, Luca
Panisson, André
Barrat, Alain
Cattuto, Ciro
Nokes, D James
author_facet Kiti, Moses C
Tizzoni, Michele
Kinyanjui, Timothy M
Koech, Dorothy C
Munywoki, Patrick K
Meriac, Milosch
Cappa, Luca
Panisson, André
Barrat, Alain
Cattuto, Ciro
Nokes, D James
author_sort Kiti, Moses C
collection PubMed
description 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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spelling pubmed-49445922016-07-26 Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors Kiti, Moses C Tizzoni, Michele Kinyanjui, Timothy M Koech, Dorothy C Munywoki, Patrick K Meriac, Milosch Cappa, Luca Panisson, André Barrat, Alain Cattuto, Ciro Nokes, D James EPJ Data Sci Regular Article 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. Springer Berlin Heidelberg 2016-06-14 2016 /pmc/articles/PMC4944592/ /pubmed/27471661 http://dx.doi.org/10.1140/epjds/s13688-016-0084-2 Text en © Kiti et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Regular Article
Kiti, Moses C
Tizzoni, Michele
Kinyanjui, Timothy M
Koech, Dorothy C
Munywoki, Patrick K
Meriac, Milosch
Cappa, Luca
Panisson, André
Barrat, Alain
Cattuto, Ciro
Nokes, D James
Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
title Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
title_full Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
title_fullStr Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
title_full_unstemmed Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
title_short Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
title_sort quantifying social contacts in a household setting of rural kenya using wearable proximity sensors
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944592/
https://www.ncbi.nlm.nih.gov/pubmed/27471661
http://dx.doi.org/10.1140/epjds/s13688-016-0084-2
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