2015
DOI: 10.1080/17441692.2015.1074715
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Mobility among youth in Rakai, Uganda: Trends, characteristics, and associations with behavioural risk factors for HIV

Abstract: Mobility, including migration and travel, influences risk of HIV. This study examined time trends and characteristics among mobile youth (15-24 years) in rural Uganda, and the relationship between mobility and risk factors for HIV. We used data from an annual household census and population-based cohort study in the Rakai district, Uganda. Data on in-migration and out-migration were collected among youth (15-24 years) from 43 communities from 1999-2011 (N=112,117 observations) and travel among youth residents … Show more

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Cited by 78 publications
(77 citation statements)
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“…The East Africa Cross Border Integrated Health Study (CBIHS) offers a rare opportunity to assess outcomes along the HIV care continuum for people living, working and socializing in cross‐border areas, including highly mobile cross‐border priority populations who are typically excluded from traditional epidemiologic studies implemented using household‐based surveys. Because such groups likely access services differently and face distinct sets of health risk factors from “resident” populations (i.e. those with a primary residence at the cross‐border area), we estimate the HIV care continuum and progress towards the 90‐90‐90 targets separately for resident and non‐resident groups.…”
Section: Introductionmentioning
confidence: 99%
“…The East Africa Cross Border Integrated Health Study (CBIHS) offers a rare opportunity to assess outcomes along the HIV care continuum for people living, working and socializing in cross‐border areas, including highly mobile cross‐border priority populations who are typically excluded from traditional epidemiologic studies implemented using household‐based surveys. Because such groups likely access services differently and face distinct sets of health risk factors from “resident” populations (i.e. those with a primary residence at the cross‐border area), we estimate the HIV care continuum and progress towards the 90‐90‐90 targets separately for resident and non‐resident groups.…”
Section: Introductionmentioning
confidence: 99%
“…Broad population movement can influence infectious disease transmission (e.g. colonization and smallpox among Native Americans); however, short-term migration and travel can also influence how individuals within and between populations form and dissolve relationships over space and time (Camlin et al, 2013; Frye et al, 2014; Schuyler et al, 2015). Sexual behavior and partnership characteristics of mobile individuals could contribute to ongoing infectious disease transmission within or across networks, or foil prevention efforts in geographically distinct sub-populations.…”
Section: Introductionmentioning
confidence: 99%
“…Although migration data are limited, populations in SSA have been considered more mobile compared to those of other regions (Byerlee, 1974; Nkamleu & Fox, 2006; UNECA, 2006). Short- and long-term moves are relatively common in many SSA countries (Boerma et al, 2002; Coffee et al, 2005; Kahn et al, 2007), and recent studies have documented increasing rates of migration in some countries (Kahn et al, 2007; Schuyler et al, 2015). …”
Section: Introductionmentioning
confidence: 99%