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Research article by BMC Public Health, “What explains gender inequalities in
HIV/AIDS prevalence in Sub-Saharan Africa”. It’s an individual study that was
used as a survey. BMC Public Health.
(2016). “What explains gender inequalities in HIV/AIDS prevalence in
Sub-Saharan Africa”. Retrieved (2017 December) from

the past research, a Blinder-Oaxaca decomposition technique was used to examine
the sources of gender inequality in HIV/AIDS prevalence across countries. Three
distinct patterns were used to find the response effect and the differential
effect of the risk factors between men and women, which explained the
concentration of HIV/AIDS among women and the percentage of the gender

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            The main point of the article is to
explain how women are disproportionally affected by the HIV/AIDS syndrome in
Sub-Saharan Africa. The study is aimed to identify the socio-demographic and
behavioral characteristics underlying the gender inequalities in 21 Sub-Saharan
Africa countries. It will explain why women are substantially more prone than
men to acquire the HIV/AIDS syndrome. The Blinder-Oaxaca decomposition approach
from Demographics and Health Surveys & Aids Indicator Survey was used to
find the difference in HIV/AIDS prevalence between men and women using the
socio-demographic factors, sexual behaviors, and awareness of HIV/AIDS as
attributes. The participants who took the survey are men and women from 21
Sub-Saharan Africa countries. Participants were married, separated, widowed men
between the age of 15-49 years for women; and 15-64 years for men. The women picked
were more socioeconomically disadvantaged than men. Data from the Demographic
and Health Survey and the Aids indicator survey were used to analyze the
sources of gender inequality in 21 Sub-Saharan countries between 2003-2012. The
Demographics Healthy Survey uses a stratified design with probabilistic
sampling that gives a defined probability of selection to each unit. It
collects and disseminates national representative data on socio-demographic,
behavioral, health, and other characteristics over time.

            I felt the study was conducted
correctly and was well-detailed. It showed the differences in distributions of
the HIV/AIDS risk factors between men and women. Secondary data collected by
the International Demographics and Health Survey (DHS) program after obtaining
the participant’s consents. A Chi-square was also used for accurate results to
estimate gender inequalities in HIV/AIDS comparing women to men. The most
interesting result is finding the outcome of interest which was determined by the
HIV serostatus. It is an antibody HIV blood test that was used as a key
explanatory variable. Taking the antibody HIV blood test will be able to
determine if you have HIV followed up with follow-up questions to determine
sexual behaviors, characteristics, and socio-demographic factors. The people that
will benefit from reading this survey will be men and women living in urban or rural
area of Sub-Saharan Africa. Women and men from all countries will be able to
benefit from reading the survey because the socio-demographic, and sexual
behaviors were similar. Women and men from the ages of 15-65 will benefit from
the survey as those were the age groups reported.

            In the survey, women had lower
levels of HIV/AIDS awareness compared to men in some countries. Typically women
were younger than men in all countries except for Mozambique, Swaziland,
Liberia, Zimbabwe, and Malawi. Women were also more likely to be married than
to be separated or divorced, so married, separated, or divorced women will be
able to benefit while reading the article since the results were statistically
similar. In general, women were more socioeconomically disadvantaged than men;
as they were more likely than men to be unemployed or employed in profession
such as trading. In addition, the statistics showed that a higher percentage of
women reported their first sexual intercourse before the age of 16. If I were
to replicate the study, I would include 16 countries instead of 21 to have a
more accurate results. I think it will be effective to the contribution of
people affected. One thing, I would keep the same is the age group which was from
15-64 years of age to help determine risk factors of those affected. Gender
inequalities are one of the major socio-factors used to determine the
prevalence rates for those affected. I will also keep the socio-demographic
factors used but include some other factors such as marital status, age, and
occupation to get an accurate perception of those affected.

            The research survey was well
detailed as it explains the gender inequality between men and women living in
21 Sub-Saharan Africa countries. The study was used to help prioritize
interventions to tackle gender inequalities in HIV/AIDS prevalence. The survey
focuses on women who are affected by HIV/AIDS than men and the study is aimed
to identify the socio-demographic factors that implement the cause. The approach
used integrate the genders into two components: the composition effect and the
response effect. The composition effect was to find the percentage attributed
to the different levels of the risk factors, while the response effect was to
find differential effects on the prevalence rates, and both methods were
beneficial to look for country-specific interventions and the people affected.


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