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

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 we

SUBMITTER: Kiti MC 

PROVIDER: S-EPMC4944592 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature