Understanding the gender disparity in HIV infection across countries in sub-Saharan Africa: evidence from the Demographic and Health Surveys

Women in sub-Saharan Africa bear a disproportionate burden of human immunodeficiency virus (HIV) infections, which is exacerbated by their role in society and biological vulnerability. The specific objectives of this article are to (i) determine the extent of gender disparity in HIV infection; (ii) examine the role of HIV/acquired immune deficiency syndrome (AIDS) awareness and sexual behaviour factors on the gender disparity and (iii) establish how the gender disparity varies between individuals of different characteristics and across countries. The analysis involves multilevel logistic regression analysis applied to pooled Demographic and Health Surveys data from 20 countries in sub-Saharan Africa conducted during 2003-2008. The findings suggest that women in sub-Saharan Africa have on average a 60% higher risk of HIV infection than their male counterparts. The risk for women is 70% higher than their male counterparts of similar sexual behaviour, suggesting that the observed gender disparity cannot be attributed to sexual behaviour. The results suggest that the risk of HIV infection among women (compared to men) across countries in sub-Saharan Africa is further aggravated among those who are younger, in female-headed households, not in stable unions or marital partnerships or had an earlier sexual debut.

A comparative analysis of the use of maternal health services between teenagers and older mothers in sub-Saharan Africa: evidence from Demographic and Health Surveys (DHS)

This paper uses Demographic and Health Surveys data from 21 countries in sub-Saharan Africa to examine the use of maternal health services by teenagers. A comparison of maternal health care between teenagers and older women, based on bivariate analysis shows little variation in maternal health care by age. However, after controlling for the effect of background factors such as parity, premarital births, educational attainment and urban/rural residence in a multivariate analysis, there is evidence that teenagers have poorer maternal health care than older women with similar background characteristics. The results from multilevel logistic models applied to pooled data across countries show that teenagers are generally more likely to receive inadequate antenatal care and have non-professional deliveries. An examination of country-level variations shows significant differences in the levels of maternal health care across countries. However, there is no evidence of significant variations across countries in the observed patterns of maternal health care by maternal age. This suggests that the observed patterns by maternal age are generalizable across the sub-Saharan Africa region.

An investigation of district spatial variations of childhood diarrhoea and fever morbidity in Malawi

Although diarrhoea and malaria are among the leading causes of child mortality and morbidity in Sub-Saharan Africa, few detailed studies have examined the patterns and determinants of these ailments in the most affected communities. In this paper, we investigate the spatial distribution of observed diarrhoea and fever prevalence in Malawi using individual data for 10,185 children from the 2000 Malawi Demographic and Health survey. We highlight inequalities in child health by mapping the residual district spatial effects using a geo-additive probit model that simultaneously controls for spatial dependence in the data and potential nonlinear effects of covariates. The residual spatial effects were modelled via a Bayesian approach. For both ailments, we were able to identify a distinct district pattern of childhood morbidity. In particular, the results suggest that children living in the capital city are less affected by fever, although this is not true for diarrhoea, where some urban agglomerations are associated with a higher childhood morbidity risk. The spatial patterns emphasize the role of remoteness as well as climatic, environmental, and geographic factors on morbidity. The fixed effects show that for diarrhoea, the risk of child morbidity appears to be lower among infants who are exclusively breastfed than among those who are mixed-fed. However, exclusive breastfeeding was not found to have a protective effect on fever. An important socio-economic factor for both diarrhoea and fever morbidity was parental education, especially maternal educational attainment. Diarrhoea and fever were both observed to show an interesting association with child's age. We were able to discern the continuous worsening of the child morbidity up to 8-12 months of age. This deterioration set in right after birth and continues, more or less linearly until 8-12 months, before beginning to decline thereafter. Independent of other factors, a separate spatial process produces district inequalities in child's health.

The inequality of maternal health care in urban sub-Saharan Africa in the 1990s

Numerous studies document the disadvantage in child health of the urban poor in African cities. This study uses Demographic and Health Survey data from 23 countries in sub-Saharan Africa to examine whether the urban poor experience comparable disadvantages in maternal health care. The results show that, although on average the urban poor receive better antenatal and delivery care than rural residents, the care of the urban poor is worse than that of the urban non-poor. This suggests that the urban bias in the allocation of health services in Africa does not benefit the urban poor as much as the non-poor. Multilevel analyses reveal significant variations in maternal health in urban areas across countries of sub-Saharan Africa. The dis-advantage of the urban poor is more pronounced in countries where maternal health care is relatively good. In these countries the urban poor tend to be even worse off than rural residents, suggesting that the urban poor have benefited least from improvements in maternal health care.

Unplanned childbearing in Kenya: the socio-demographic correlates and the extent of repeatability among women

Unplanned pregnancies account for a substantial proportion of births in Kenya and can have a variety of negative consequences on individual women, their families, and the society as a whole. This paper examines the correlates of mistimed and unwanted childbearing in Kenya, with special focus on the extent of repetitiveness of these events among women. A multilevel multinomial model is applied to the 1993 Kenya Demographic and Health Survey data. The results show that unplanned childbearing in Kenya is associated with a number of factors, including urban/rural residence, region, ethnicity, maternal education, maternal age, marital status, birth order, length of preceding birth interval, family planning practise, fertility preference and unmet need for family planning. In addition to these factors, women who have experienced an unplanned birth are highly likely to have a repeat occurrence.

Frequency and timing of antenatal care in Kenya: explaining the variations between women of different communities

Appropriate antenatal care is important in identifying and mitigating risk factors in pregnancy but many mothers in the developing world do not receive such care. This paper uses data from the 1993 Kenya Demographic and Health Survey to study the variations in the use of antenatal services in Kenya. The analysis is based on modelling the frequency and timing of antenatal visits using three-level linear regression models. The results show that the use of antenatal care in Kenya is associated with a range of socio-economic, cultural and reproductive factors. The availability and accessibility of health services and the desirability of a pregnancy are also important. Use of antenatal care is infrequent for unwanted and mistimed pregnancies; even women who use antenatal care frequently appear to be less consistent if a pregnancy is mistimed. The results also indicate that women are highly consistent in the use of antenatal care during pregnancies. The intra-woman correlation coefficient for the frequency of antenatal visits ranges between 50% and 80% with greater correlation for wanted pregnancies to women in urban areas.