OBJECTIVES: To analyse the association between socio-economic status (SES) and HIV in Manhica, a district of Southern Mozambique with one of the highest HIV prevalences in the world. METHODS: Data were gathered from two cross-sectional surveys performed in 2010 and 2012 among 1511 adults and from the household census of the district's population. Fractional polynomial logit models were used to analyse the association between HIV and SES, controlling for age and sex and taking into account the nonlinearity of covariates. The inequality of the distribution of HIV infection with regard to SES ...
IntroductionExtant studies universally document a positive gradient between socioeconomic status (SE...
OBJECTIVE: To examine the relationship between socioeconomic status (SES), risk factors for HIV infe...
Introduction: Sub Saharan Africa (SSA) continues to exhibit inequalities in HIV epidemic. As of 2017...
OBJECTIVES: To analyse the association between socio-economic status (SES) and HIV i...
Objectives To analyse the association between socio-economic status (SES) and HIV in Manhiça, a dist...
Background Studies have shown a mixed association between socioeconomic status [SES] and prevalent H...
Background Studies have shown a mixed association between socioeconomic status [SES] and prevalent H...
Background Studies have shown a mixed association between socioeconomic status [SES] and...
BACKGROUND: Knowledge of the effect of socioeconomic status on HIV infection in Africa stems largely...
This paper uses data from the Demographic and Health Survey to analyze the relationship between HIV ...
The link between HIV infection and poverty in sub-Saharan Africa (SSA) is rather complex and finding...
The link between HIV infection and poverty in sub-Saharan Africa (SSA) is rather complex and finding...
The link between HIV infection and poverty in sub-Saharan Africa (SSA) is rather complex and finding...
The link between HIV infection and poverty in sub-Saharan Africa (SSA) is rather complex and finding...
Includes bibliographical references.Epidemiologic research shows that socioeconomic status influence...
IntroductionExtant studies universally document a positive gradient between socioeconomic status (SE...
OBJECTIVE: To examine the relationship between socioeconomic status (SES), risk factors for HIV infe...
Introduction: Sub Saharan Africa (SSA) continues to exhibit inequalities in HIV epidemic. As of 2017...
OBJECTIVES: To analyse the association between socio-economic status (SES) and HIV i...
Objectives To analyse the association between socio-economic status (SES) and HIV in Manhiça, a dist...
Background Studies have shown a mixed association between socioeconomic status [SES] and prevalent H...
Background Studies have shown a mixed association between socioeconomic status [SES] and prevalent H...
Background Studies have shown a mixed association between socioeconomic status [SES] and...
BACKGROUND: Knowledge of the effect of socioeconomic status on HIV infection in Africa stems largely...
This paper uses data from the Demographic and Health Survey to analyze the relationship between HIV ...
The link between HIV infection and poverty in sub-Saharan Africa (SSA) is rather complex and finding...
The link between HIV infection and poverty in sub-Saharan Africa (SSA) is rather complex and finding...
The link between HIV infection and poverty in sub-Saharan Africa (SSA) is rather complex and finding...
The link between HIV infection and poverty in sub-Saharan Africa (SSA) is rather complex and finding...
Includes bibliographical references.Epidemiologic research shows that socioeconomic status influence...
IntroductionExtant studies universally document a positive gradient between socioeconomic status (SE...
OBJECTIVE: To examine the relationship between socioeconomic status (SES), risk factors for HIV infe...
Introduction: Sub Saharan Africa (SSA) continues to exhibit inequalities in HIV epidemic. As of 2017...