2018
DOI: 10.1186/s12879-018-3073-1
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Characteristics of human encounters and social mixing patterns relevant to infectious diseases spread by close contact: a survey in Southwest Uganda

Abstract: BackgroundQuantification of human interactions relevant to infectious disease transmission through social contact is central to predict disease dynamics, yet data from low-resource settings remain scarce.MethodsWe undertook a social contact survey in rural Uganda, whereby participants were asked to recall details about the frequency, type, and socio-demographic characteristics of any conversational encounter that lasted for ≥5 min (henceforth defined as ‘contacts’) during the previous day. An estimate of the n… Show more

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Cited by 89 publications
(124 citation statements)
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“…Nonetheless, our results strongly argue for the need of more research characterising local contact, risk and transmission-route profiles (e.g. 42 ), if we are to understand the myriad of reported PCV impacts across different demographic, social and epidemiological settings. There were also the observations of vaccine impact (reduction in VT carriage) in unvaccinated agegroups, and a particularly slow impact in younger vaccinated age-groups during the surveys ( Figure 1d).…”
Section: Discussionmentioning
confidence: 91%
See 1 more Smart Citation
“…Nonetheless, our results strongly argue for the need of more research characterising local contact, risk and transmission-route profiles (e.g. 42 ), if we are to understand the myriad of reported PCV impacts across different demographic, social and epidemiological settings. There were also the observations of vaccine impact (reduction in VT carriage) in unvaccinated agegroups, and a particularly slow impact in younger vaccinated age-groups during the surveys ( Figure 1d).…”
Section: Discussionmentioning
confidence: 91%
“…The inhomogeneous transmission matrix presented in Figure 1c overperformed the others and was used for the results presented in the main text. Its structure is based on epidemiological studies conducted in American, European and African populations reporting typical, strong, intrinsic variation in frequency, efficiency and environmental risk of transmission between age-groups 10,31,[42][43][44][45][46][47] . In summary, the transmission matrix is generally populated with a baseline coefficient β, and a different coefficient θ assigned to transmission occurring within and between ages 0-5 years, and within 6-7 and 8-9 years of age independently.…”
Section: Force Of Infectionmentioning
confidence: 99%
“…After discussing the impact that demographic dynamics has on model outcomes, we inspected what are the effects of including contact patterns in the TB model forecasts, either at the level of aggregated rates or within age-specific strata. To do so, we have built a second reduced model where the empirical contact matrices estimated from survey studies conducted in Africa and Asia (22)(23)(24)(25)(26) are substituted by the classical hypothesis of contacts homogeneity (see Methods and SI section 2.3 for further details).…”
Section: Effect Of Contact Patterns Heterogeneitiesmentioning
confidence: 99%
“…Since then, much work has gone into better quantifying the amount of transmission-relevant contact occurring between different age groups. Diary-based studies have been conducted across Europe [9,10], as well as in Vietnam [11] China [12], Uganda [13], Zimbabwe [14] and elsewhere. While other methods for measuring social contact patterns exist [15,16,17], contact data from diary studies have become the de facto standard for studying age-specific infectious disease dynamics.…”
Section: Introductionmentioning
confidence: 99%