2005
DOI: 10.1086/425270
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Patterns of Movement and Risk of HIV Infection in Rural Zimbabwe

Abstract: Rural-urban migration does not appear to be responsible for maintaining the high HIV prevalence in rural Zimbabwe, but rates of HIV infection may be affected by rural-rural migration.

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Cited by 100 publications
(108 citation statements)
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“…Since the first case of AIDS was notified in 1986, the prevalence of HIV infection has gradually risen in the different population groups [Mencarini et al, 1991;Lesens et al, 1997]. The country was largely isolated during the civil war, probably helping to limit the spread of the epidemic despite the high prevalence rates in neighboring countries like Zimbabwe [Coffee et al, 2005]. However, the prevalence of HIV infection has OR (95% CI): odds ratio (95% confidence intervals); the prevalence of HCV infection was too low for multivariate analysis.…”
Section: Discussionmentioning
confidence: 99%
“…Since the first case of AIDS was notified in 1986, the prevalence of HIV infection has gradually risen in the different population groups [Mencarini et al, 1991;Lesens et al, 1997]. The country was largely isolated during the civil war, probably helping to limit the spread of the epidemic despite the high prevalence rates in neighboring countries like Zimbabwe [Coffee et al, 2005]. However, the prevalence of HIV infection has OR (95% CI): odds ratio (95% confidence intervals); the prevalence of HCV infection was too low for multivariate analysis.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, migrant populations are often considered to be an important vector for the spread of HIV. 9 Finally, because rural-tourban migrants often remain in close contact with nonmigrant family and friends, they can play a role in the diffusion of urban contraceptive knowledge and fertility practices to their rural communities of origin. 10 For example, in an analysis of health survey data collected in rural Guatemala, having kin who had migrated to urban areas or to other countries was associated with greater contraceptive knowledge and a greater likelihood of modern method use.…”
Section: Datamentioning
confidence: 99%
“…Although it remains unclear to what extent the lessons from these case studies can be extrapolated across all mobile populations, they are, with some exceptions (Thomas, Haour-Knipe, & Aggleton, 2010) generally accepted. Beyond these well-known case studies, further investigation of the relationship between migration/mobility and HIV risk tests for statistically significant differences in HIV prevalence or sexual risk behaviours (or both) between 'non-mobile' and 'mobile' groups (Coffee et al, 2005;Khan et al, 2008;Kishamawe et al, 2006;Lagarde et al, 2003;Lydie et al, 2004;Mmbaga et al, 2008;Vissers et al, 2008). However, evidence from these studies is inconclusive, inconsistent, and in some cases contradictory, with no universal correlation between mobility and HIV risk for men or women (Deane, Parkhurst & Johnston 2010).…”
Section: Introductionmentioning
confidence: 99%