Prevalence of HIV/AIDS Infection among Sexually Active Women in Ethiopia: Further Analysis of 2016 EDHS

Predicting the individualized risk of human immunodeficiency virus infection among sexually active women in Ethiopia using a nomogram: prediction model development and validation

Introduction

Women are more vulnerable to HIV infection due to biological and socioeconomic reasons. Developing a predictive model for these vulnerable populations to estimate individualized risk for HIV infection is relevant for targeted preventive interventions. The objective of the study was to develop and validate a risk prediction model that allows easy estimations of HIV infection risk among sexually active women in Ethiopia.

Methods

Data from the 2016 Ethiopian Demographic and Health Survey, which comprised 10,253 representative sexually active women, were used for model development. Variables were selected using the least absolute shrinkage and selection operator (LASSO). Variables selected by LASSO were incorporated into the multivariable mixed-effect logistic regression model. Based on the multivariable model, an easy-to-use nomogram was developed to facilitate its applicability. The performance of the nomogram was evaluated using discrimination and calibration abilities, Brier score, sensitivity, and specificity. Internal validation was carried out using the bootstrapping method.

Results

The model selected seven predictors of HIV infection, namely, age, education, marital status, sex of the household head, age at first sex, multiple sexual partners during their lifetime, and residence. The nomogram had a discriminatory power of 89.7% (95% CI: 88.0, 91.5) and a calibration p-value of 0.536. In addition, the sensitivity and specificity of the nomogram were 74.1% (95% CI: 68.4, 79.2) and 80.9% (95% CI: 80.2, 81.7), respectively. The internally validated model had a discriminatory ability of 89.4% (95% CI: 87.7, 91.1) and a calibration p-value of 0.195. Sensitivity and specificity after validation were 72.9% (95% CI: 67.2, 78.2) and 80.1% (95% CI: 79.3, 80.9), respectively.

Conclusion

A new prediction model that quantifies the individualized risk of HIV infection has been developed in the form of a nomogram and internally validated. It has very good discriminatory power and good calibration ability. This model can facilitate the identification of sexually active women at high risk of HIV infection for targeted preventive measures.

Magnitude of intestinal parasitic infections and its determinants among HIV/AIDS patients attending at antiretroviral treatment centers in East and West Gojam Zones, Northwest, Ethiopia: institution based cross-sectional study

BACKGROUND

Intestinal parasitic infections (IP) are a major source of morbidity in people living with Human immunodeficiency virus (HIV), particularly in resource-limited settings, mostly as a result of high viral load. Hence, this study aimed to investigate the magnitude of intestinal parasitic infections and its determinants among patients with HIV/AIDS attending public health facilities in East and West Gojam Zones in Ethiopia.

METHODS

Institution-based cross-sectional study was conducted on 327 people living with HIV visiting public health facilities from December 2022 to May 2023. A simple random sampling technique was used to recruit participants. Face-to-face interviews were used to collect socio-demographics and determinants. The fresh stool was collected from each patient, transported, and tested in accordance with laboratory standard operating procedures of wet mount, formol-ether concentration technique, and modified acid-fast staining. Data were entered and analyzed in the statistical package for Social Science (SPSS) version 20. A 95% CI with p-value < 0.05 was considered statistically significant.

RESULTS

The overall prevalence of IP in patients with HIV/AIDS was 19.3% (63/327). Hookworm was the most identified parasite 33.3% (21/63) followed by E.histolytica 17% (11/63) and G.lamblia 14.3% (9/63). Parasitic infections were significantly higher among viral load > 1000cps/ml (p = 0.035), WHO stage 4 (p = 0.002), CD4 < 200 cell/mm3 (p = 0.001), and bare foot walking (p = 0.001).

CONCLUSION

IP infections are moderately high among patients with HIV/AIDS in the study area. The proportion of parasites was greatly affected by high viral load, WHO stage 4, CD4 < 200 cell/mm3, and being barefoot; this gives valuable insight to health professionals, health planners and community health workers. As a result, viral load monitoring, and WHO stage controlling were periodically assessed in patients with HIV/AIDS. Health education, awareness creation, routine stool examination, and environmental hygiene were regularly advocated to increase the life of patients with HIV/AIDS.

Mapping the spatial disparities of HIV prevalence in Ethiopian zones using the generalized additive model

HIV is a worldwide social and health pandemic that poses a significant problem. This study contributes to the 2030 global agenda of reducing HIV prevalence. The study analyzed HIV prevalence using the 2016 Ethiopian Demographic and Health Survey data. The study included men aged 15-54 years and women aged 15-49 years who responded to questions about HIV tests. A generalized geo-additive model (GAM) was fitted to HIV data using nonparametric smooth terms for geolocations. Two smoothing techniques were used in GAMs to evaluate spatial disparities and the probable effects of variables on HIV risk. There were certain areas in Ethiopia that were identified as hot spot zones for HIV, including Nuer and Agnuak in Gambella, West Wollega and Illubabor in Oromia, Benchi Maji and Shaka in SNNPR, Awsi, Fantana, Kilbet, and Gabi in the Afar region, Shinilie of the Somalia region, North and South Wollo, Oromia special zones of the Amhara region, Central Ethiopia, and Addis Ababa city. On the other hand, the eastern parts of Ethiopia, particularly most zones in the Somalia region, were identified as cold spot zones with the lowest HIV odds ratio. The odds of HIV+ were higher for those who reside in rural areas than in urban areas. Furthermore, people who have STIs, who used contraceptive methods, and who learned at the secondary level of education were more likely to be infected with HIV. After adjusting for confounding variables, the results indicated that there are substantially significant spatial variations in HIV prevalence across Ethiopian zones. These results provide essential information to strategically target geographic areas to allocate resources and policy interventions at zonal level administrations.

Prevalence of HIV in slums area: a systematic review and meta-analysis

BACKGROUND

Human Immunodeficiency Virus (HIV) remains a significant global health burden, particularly affecting vulnerable populations residing in slum areas which is characterized by overcrowding, poverty, and limited access to healthcare services, create an environment conducive to the transmission and spread of HIV. Despite the recognition of this issue, there is a lack of comprehensive understanding regarding the prevalence of HIV in slums. The aim of this study was to systematically synthesize the existing global evidence on HIV prevalence in slum populations.

METHODS

A rigorous systematic literature review was conducted by searching multiple electronic databases, including Medline via PubMed, Scopus, Embase, Web of Sciences, and Directory of Open Access Journals (DOAJ), covering the period from January 1, 1990, to March 31, 2023. The quality and risk of bias for each included study were assessed using the Newcastle-Ottawa Scale. The pooled prevalence with its corresponding 95% confidence interval (CI) was calculated using a random-effects model with the Freeman-Tukey double arcsine transformation. The degree of heterogeneity among the studies was evaluated using the I2 test. Publication bias was also assessed using Egger's test. Additionally, subgroup analysis was performed to explore potential factors contributing to the observed heterogeneity.

RESULTS

A systematic examination of the relevant literature resulted in the inclusion of a total of 22 studies for the purpose of this meta-analysis. These studies collectively assessed a sizable cohort consisting of 52,802 participants. Utilizing a random-effects model, an estimation of the overall prevalence of HIV in the slum area was determined to be 10% (95% CI: 7-13%). Further delineation through subgroup analysis based on the gender revealed a higher prevalence of HIV among women, standing at 13% (95% CI: 8-19%, 18 studies: I2 = 98%), as opposed to men, where the prevalence was found to be 8% (95% CI: 6-12%, 16 studies: I2 = 95%). A geographical breakdown of the included studies revealed that Africa exhibited the highest prevalence, with a figure of 11% (95% CI: 9-13%, 18 studies: I2 = 98%). Subsequently, studies conducted in the American continent reported a prevalence of 9% (95% CI: 7-11%, 2 studies: I2 = 57%). The Asian continent, on the other hand, displayed the lowest prevalence of 1% (95% CI: 0-3%, 2 studies: I2 = 94%). Notably, studies employing rapid tests indicated a prevalence of 13% (95% CI: 9-17%, 6 studies: I2 = 94%), while those relying on self-reported data reported a lower prevalence of 8% (95% CI: 5-11%, 6 studies: I2 = 99%). Moreover, studies utilizing ELISA reported a prevalence of 9% (95% CI: 6-12%, 10 studies: I2 = 96%). Finally, it was determined that studies conducted in upper-middle-income countries reported a higher prevalence of 20% (95% CI: 16-24%, 5 studies: I2 = 45%), whereas studies conducted in lower- and middle-income countries reported a prevalence of 8% (95% CI: 6-10%, 12 studies: I2 = 98%).

CONCLUSION

The current study elucidates the troublingly high prevalence of HIV infection within slums area. Also, this finding underscores the urgent necessity for targeted and tailored interventions specifically aimed at curtailing the spread of HIV within slums. Policymakers must take cognizance of these results and devote their efforts towards the implementation of effective strategies to mitigate gender disparities, address poverty alleviation, and empower the inhabitants of these marginalized areas.

Prevalence of risk factors for human immunodeficiency virus among sexually active women in Rwanda: a nationwide survey

BACKGROUND

The Human Immunodeficiency Virus (HIV) remains a global health burden, and despite the advancements in antiretroviral therapy and various strategies employed to curb HIV infections, the incidence of HIV remains disproportionately high among women. Therefore, this study aimed to determine the prevalence of the risk factors for the acquisition of HIV among sexually active women in Rwanda.

METHODS

Secondary data from the 2020 Rwanda Demographic Health Survey, comprising 10,684 sexually active women, was used. Multistage stratified sampling was employed to select the study participants. Multivariable logistic regression was conducted to determine the associated risk factors using the SPSS (version 25).

RESULTS

Of the 10,684 sexually active women, 28.7% (95% confidence interval (CI): 27.5-29.4) had at least one risk factor for HIV acquisition. Having no education (AOR = 3.65, 95%CI: 2.16-6.16), being unmarried (AOR = 4.50, 95%CI: 2.47-8.21), being from female-headed households (AOR = 1.75, 95%CI: 1.42-2.15), not having health insurance (AOR = 1.34, 95%CI: 1.09-1.65), no HIV test history (AOR = 1.44, 95%CI: 1.01-2.08), being from the poorest wealth quintile (AOR = 1.61, 95%CI: 1.14-2.27) and lack of exposure to mass media (AOR = 1.30, 95%CI: 1.07-1.58) were associated with higher odds of exposure to at least one HIV acquisition risk factor. In contrast, age groups of 25-34 (AOR = 0.56, 95%CI: 0.44-0.71) and 35-44 years (AOR = 0.62, 95%CI: 0.48-0.80), rural residence (AOR = 0.63, 95%CI: 0.49-0.81) and being from the western region (AOR = 0.67, 95%CI: 0.48-0.94) were associated with less odds of exposure to at least one HIV acquisition risk factor.

CONCLUSION

More than a quarter of sexually active women in Rwanda had exposure to at least one risk factor for HIV acquisition. There is a need to maximize the use of mass media in disseminating HIV prevention and behavioral change messages. Engagement of religious leaders and promotion of HIV testing, especially among the never-testers, may be vital strategies in successful HIV prevention programs.