TheResearch article by BMC Public Health, “What explains gender inequalities inHIV/AIDS prevalence in Sub-Saharan Africa”. It’s an individual study that wasused as a survey.
BMC Public Health.(2016). “What explains gender inequalities in HIV/AIDS prevalence inSub-Saharan Africa”. Retrieved (2017 December) fromhttps://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-016-3783-5.
Inthe past research, a Blinder-Oaxaca decomposition technique was used to examinethe sources of gender inequality in HIV/AIDS prevalence across countries. Threedistinct patterns were used to find the response effect and the differentialeffect of the risk factors between men and women, which explained theconcentration of HIV/AIDS among women and the percentage of the genderinequality. The main point of the article is toexplain how women are disproportionally affected by the HIV/AIDS syndrome inSub-Saharan Africa. The study is aimed to identify the socio-demographic andbehavioral characteristics underlying the gender inequalities in 21 Sub-SaharanAfrica countries.
It will explain why women are substantially more prone thanmen to acquire the HIV/AIDS syndrome. The Blinder-Oaxaca decomposition approachfrom Demographics and Health Surveys & Aids Indicator Survey was used tofind the difference in HIV/AIDS prevalence between men and women using thesocio-demographic factors, sexual behaviors, and awareness of HIV/AIDS asattributes. The participants who took the survey are men and women from 21Sub-Saharan Africa countries. Participants were married, separated, widowed menbetween the age of 15-49 years for women; and 15-64 years for men. The women pickedwere more socioeconomically disadvantaged than men.
Data from the Demographicand Health Survey and the Aids indicator survey were used to analyze thesources of gender inequality in 21 Sub-Saharan countries between 2003-2012. TheDemographics Healthy Survey uses a stratified design with probabilisticsampling that gives a defined probability of selection to each unit. Itcollects and disseminates national representative data on socio-demographic,behavioral, health, and other characteristics over time.
I felt the study was conductedcorrectly and was well-detailed. It showed the differences in distributions ofthe HIV/AIDS risk factors between men and women. Secondary data collected bythe International Demographics and Health Survey (DHS) program after obtainingthe participant’s consents. A Chi-square was also used for accurate results toestimate gender inequalities in HIV/AIDS comparing women to men. The mostinteresting result is finding the outcome of interest which was determined by theHIV serostatus. It is an antibody HIV blood test that was used as a keyexplanatory variable. Taking the antibody HIV blood test will be able todetermine if you have HIV followed up with follow-up questions to determinesexual behaviors, characteristics, and socio-demographic factors.
The people thatwill benefit from reading this survey will be men and women living in urban or ruralarea of Sub-Saharan Africa. Women and men from all countries will be able tobenefit from reading the survey because the socio-demographic, and sexualbehaviors were similar. Women and men from the ages of 15-65 will benefit fromthe survey as those were the age groups reported. In the survey, women had lowerlevels of HIV/AIDS awareness compared to men in some countries. Typically womenwere younger than men in all countries except for Mozambique, Swaziland,Liberia, Zimbabwe, and Malawi.
Women were also more likely to be married thanto be separated or divorced, so married, separated, or divorced women will beable to benefit while reading the article since the results were statisticallysimilar. In general, women were more socioeconomically disadvantaged than men;as they were more likely than men to be unemployed or employed in professionsuch as trading. In addition, the statistics showed that a higher percentage ofwomen reported their first sexual intercourse before the age of 16. If I wereto replicate the study, I would include 16 countries instead of 21 to have amore accurate results. I think it will be effective to the contribution ofpeople affected.
One thing, I would keep the same is the age group which was from15-64 years of age to help determine risk factors of those affected. Genderinequalities are one of the major socio-factors used to determine theprevalence rates for those affected. I will also keep the socio-demographicfactors used but include some other factors such as marital status, age, andoccupation to get an accurate perception of those affected. The research survey was welldetailed as it explains the gender inequality between men and women living in21 Sub-Saharan Africa countries. The study was used to help prioritizeinterventions to tackle gender inequalities in HIV/AIDS prevalence.
The surveyfocuses on women who are affected by HIV/AIDS than men and the study is aimedto identify the socio-demographic factors that implement the cause. The approachused integrate the genders into two components: the composition effect and theresponse effect. The composition effect was to find the percentage attributedto the different levels of the risk factors, while the response effect was tofind differential effects on the prevalence rates, and both methods werebeneficial to look for country-specific interventions and the people affected.