What Factors are Responsible for Higher Prevalence of HIV Infection among Urban Women than Rural Women in Tanzania?

Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China

OBJECTIVE

This study aimed to construct a model based on machine learning to predict new HIV infections in HIV-negative men who have sex with men (MSM).

METHODS

This is a secondary analysis of a previous random clinical trial aiming to evaluate the preventive effects of PrEP on new HIV infection in MSM. During 2013-2015, 1455 HIV-negative MSM were enrolled. Participants were divided into treatment group and control group and regularly followed up until they seroconverted to HIV positive or until the 2-year endpoint reached. Five machine-learning approaches were applied to predict the risk of HIV infection. Model performance was evaluated using Harrel's C-index and area under the receiver operator characteristic curve (AUC) and validated in an external validation cohort. To explain this model, shapley additive explanation (SHAP) values were calculated and visualized.

RESULTS

During the observation period, 102 MSM developed HIV infection. Thirteen parameters are selected to construct the model. The random survival forest model showed the best performance in the validation cohort, with a C-index of 0.7013, and could significantly categorize MSM into three groups. Our model indicated that MSM with younger age, receptive anal intercourse, and multiple male sexual partners had an increased risk of HIV infection, and those with higher AIDS knowledge scores had a lower risk.

CONCLUSION

We presented a machine learning-based model to predict their risk of developing HIV infection. This model could be applied to recognize MSM who are at a higher risk of developing HIV infection.

Sociodemographic associated factors with non-disclosure of HIV sero-status to sexual partners in Maputo, Mozambique

The HIV prevalence in Maputo city is 16.2%. There is a lack of data describing associated factors with disclosure or non-disclosure of HIV-positive sero-status to sexual partners. This analysis describes associated factors of non-disclosure of HIV sero-status to sexual partners among people living with HIV (PLHIV) participating in a serostatus disclosure support program at three health facilities in Maputo, Mozambique. We used a cross-sectional design of PLHIV aged over 18 years. Datas were collected between December 2019 and September 2020. Univariate and multivariable logistic regression models were used to evaluate factors associated of non-disclosure of HIV sero-status. A total of 377 patients were enrolled in the HIV sero-status disclosure Program. Of these, nearly two-thirds (61.5%) were women, 52.9% had completed secondary school, 47.7% were 25-34 years old, 50.9% had informal employment with low income, and 73.2% were married. Univariate logistic regression model showed greater odds of non-disclosure among patients who had an employment contract with a maximum wage (Crude Odds Ratio [cOR] 2.02, 95% confidence interval [CI] 1.15-3.55, p = 0.015); were single (cOR 3.85, 95% CI 2.22-6.69, p < 0.001); were living with parents (cOR 2.30, 95% CI 1.07-4.93, p = 0.033); received financial support for their monthly household expenses from parents or a close relative (cOR 7.15, 95% CI 2.19-23.36, p = 0.001); or brought a parent/close relative and/or a friend as a confidant during HIV care(cOR 3.17, 95% CI 1.74-5.76, p < 0.001; and cOR 5.97, 95% CI 1.57-22.66, p = 0.009, respectively). Multivariable logistic regression model showed: from parents/close relative and from partner (Adjusted Odds Ratio [aOR] 8.19, 95% CI 1.44-46.46, p = 0.018; and aOR 4.34, 95% CI 1.05-17.17, p = 0.043), respectively); in those who brought a parent/close relative and/or a friend as a confidant during HIV care (aOR 8.86, 95% CI 2.16-36.31, p = 0.002; and 195 aOR 21.68, 95% CI 3.02-155.87, p = 0.002, respectively). Non-disclosure of serostatus is a critical issue for HIV care and treatment programs, given that non-disclosure of HIV serostatus increases risk of HIV transmission. Understanding the factors associated with non-disclosure is crucial for designing strategies to address these factors and end the HIV epidemic by 2030. Our findings suggest that HIV serostatus disclosure programs might target the sociodemographic factors strongly associated with non-disclosure.

Geospatial pattern of HIV seropositivity and its predictors among women in Ethiopia. A spatial and multiscale geographically weighted regression analysis

BACKGROUND

Although promising efforts have been made so far, HIV remains a public health concern. Women in Ethiopia are disproportionately affected by HIV, accounting for a majority of new infections and AIDS-related deaths. However, the geospatial distribution of HIV among women in Ethiopia is not well understood, making it challenging to develop geographically targeted measures. Besides, to accelerate the pathway of decreasing HIV prevalence and plan geographically specific interventions, understanding the geospatial distribution of HIV seropositivity and its predictors among women plays a significant role.

METHODS

A spatial and multiscale geographically weighted regression analysis was conducted using the 2016 EDHS dataset, comprising 14,778 weighted samples of women in the reproductive age group. The EDHS sample underwent two-stage stratification and selection. The data were extracted between October 18 and 30, 2023. Non-spatial analysis was carried out using STATA version 17. Additionally, ArcGIS Pro and Sat Scan version 9.6 were used to visually map HIV seropositivity. Global Moran's I was computed to evaluate the distribution of HIV seropositivity. The Getis-Ord Gi* spatial statistic was utilized to identify significant spatial clusters of cold and hot spot areas. Geographically weighted regression analysis was subsequently performed to identify significant predictors of HIV seropositivity. Significance was established at a P-value <0.05 throughout all statistical analyses.

RESULTS

HIV seropositivity among women in Ethiopia is distributed non-randomly (Global Moran's I = 0.16, p-value <0.001 and Z-score = 7.12). Significant hotspot clustering of HIV seropositivity was found in the Addis Ababa, Harari, Dire Dawa, and Gambela region. Poor wealth index, being divorced and widowed, having more than one sexual partner, and early first sexual experience (<15 years) were found to be predictors of geographical variation of HIV seropositivity among women.

CONCLUSION

HIV seropositivity among women in Ethiopia varies geographically. Thus, deploying additional resources in high hotspot regions is recommended. Programs should focus on improving the economic empowerment of women to prevent the from engaging in risky sexual behaviors. Furthermore, comprehensive sex education programs in schools and community settings regarding the consequences of early first sexual debut might play a role in reducing HIV seropositivity among women in Ethiopia.

HIV prevalence and associated factors among married women, Mozambique, 2015: analysis of the 2015 National AIDS Indicator Survey (IMASIDA)

Introduction

epidemiological estimates from the 2021 Joint United Nations Program on HIV/AIDS (UNAIDS) emphasize the existing gender disparities, where women face a higher risk of HIV/AIDS exposure. In Mozambique, as of 2021, the HIV prevalence rate among the adult population stood at 12.5%, with an even more concerning rate of 15.4% among women of reproductive age.

Methods

a cross-sectional study was carried out with secondary data from the Survey on National Indicators of Vaccination, Malaria, and HIV/AIDS (IMASIDA 2015), where we included married women, both civil marriage and common law marriage of reproductive age 15-49 years. Statistical analyses, including chi-squared tests and logistic regression models, accounting for survey design, were employed to assess associations.

Results

the study findings showed that HIV prevalence was higher among married women aged 35-49 years (aOR=2.5; 95% CI: 1.3-4.6; p=0.005), those without formal education (aOR=7.7; 95% CI: 1.1-52.9; p=0.038) and those with primary education (aOR=9.8; 95% CI: 1.6-60.1; p=0.014), those who experienced domestic violence (aOR=1.8; 95% CI: 1.0-3.2; p=0.04), had an uncircumcised partner (aOR=1.9; 95% CI: 1.2-3.1; p=0.008), and had three or more lifetime sex partners (aOR=3.6; 95% CI: 2.9-7.3; p<0.001). Women who were in one lifelong union had a lower risk of HIV positivity (aOR=0.5; 96%CI: 0.3-0.8, p=0.005).

Conclusion

the findings of this study highlight sociodemographic, behavioral, and violent factors associated with HIV prevalence among women. These findings underscore the importance of targeted interventions and education programs aimed at reducing HIV transmission among females and promoting safer sexual practices.

Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan Africa

INTRODUCTION

Significant regional variations in the HIV epidemic hurt effective common interventions in sub-Saharan Africa. It is crucial to analyze HIV positivity distributions within clusters and assess the homogeneity of countries. We aim at identifying clusters of countries based on socio-behavioural predictors of HIV for screening.

METHOD

We used an agglomerative hierarchical, unsupervised machine learning, approach for clustering to analyse data for 146,733 male and 155,622 female respondents from 13 sub-Saharan African countries with 20 and 26 features, respectively, using Population-based HIV Impact Assessment (PHIA) data from the survey years 2015-2019. We employed agglomerative hierarchical clustering and optimal silhouette index criterion to identify clusters of countries based on the similarity of socio-behavioural characteristics. We analyse the distribution of HIV positivity with socio-behavioural predictors of HIV within each cluster.

RESULTS

Two principal components were obtained, with the first describing 62.3% and 70.1% and the second explaining 18.3% and 20.6% variance of the total socio-behavioural variation in females and males, respectively. Two clusters per sex were identified, and the most predictor features in both sexes were: relationship with family head, enrolled in school, circumcision status for males, delayed pregnancy, work for payment in last 12 months, Urban area indicator, known HIV status and delayed pregnancy. The HIV positivity distribution with these variables was significant within each cluster.

CONCLUSIONS /FINDINGS

The findings provide a potential use of unsupervised machine learning approaches for substantially identifying clustered countries based on the underlying socio-behavioural characteristics.

Acceptability and uptake of oral HIV self-testing among rural community members in Tanzania: a pilot study

New strategies are needed to improve HIV testing rates in Tanzania, particularly among adult men. We sought to investigate if HIV oral self-testing would increase HIV testing uptake in Tanzanian rural community homes. The study design was a prospective community-randomized pilot study, in two matched villages with similar characteristics (intervention and control villages) Before data collection, we trained village health workers and research assistants for one week. We recruited male and female adults from 50 representative households in each of two villages in eastern Tanzania. We collected data at baseline and we followed-up the enrolled households after a one-month period. There was a high interest in testing for HIV, with all participants from both arms (100%; n = 259) reporting that they would like to test for HIV. After the one-month follow-up, overall, 66.1% (162/245) of study participants reported to have tested for HIV in both arms. In the intervention arm, 97.6% (124/127) reported that they tested for HIV versus in the control arm, 32.2% (38/118) tested for HIV, p-value < 0.001. In Tanzania, we found that availability of HIV self-testing was associated with an enormous increase in HIV testing uptake in a rural population.

Bayesian Spatial Modelling of HIV Prevalence in Jimma Zone, Ethiopia

Background: Although the human immunodeficiency virus (HIV) is spatially heterogeneous in Ethiopia, current regional estimates of HIV prevalence hide the epidemic’s heterogeneity. A thorough examination of the prevalence of HIV infection using district-level data could assist to develop HIV prevention strategies. The aims of this study were to examine the spatial clustering of HIV prevalence in Jimma Zone at district level and assess the effects of patient characteristics on the prevalence of HIV infection. Methods: The 8440 files of patients who underwent HIV testing in the 22 Districts of Jimma Zone between September 2018 and August 2019 were the source of data for this study. The global Moran’s index, Getis–Ord Gi* local statistic, and Bayesian hierarchical spatial modelling approach were applied to address the research objectives. Results: Positive spatial autocorrelation was observed in the districts and the local indicators of spatial analysis using the Getis–Ord statistic also identified three districts, namely Agaro, Gomma and Nono Benja, as hotspots, and two districts, namely Mancho and Omo Beyam, as coldspots with 95% and 90% confidence levels, respectively, for HIV prevalence. The results also showed eight patient-related characteristics that were considered in the study were associated with HIV prevalence in the study area. Furthermore, after accounting for these characteristics in the fitted model, there was no spatial clustering of HIV prevalence suggesting the patient characteristics had explained most of the heterogeneity in HIV prevalence in Jimma Zone for the study data. Conclusions: The identification of hotspot districts and the spatial dynamic of HIV infection in Jimma Zone at district level may allow health policymakers in the zone or Oromiya region or at national level to develop geographically specific strategies to prevent HIV transmission. Because clinic register data were used in the study, it is important to use caution when interpreting the results. The results are restricted to Jimma Zone districts and may not be generalizable to Ethiopia or the Oromiya region.

Community myths and misconceptions about sexual health in Tanzania: Stakeholders' views from a qualitative study in Dar es Salaam Tanzania

INTRODUCTION

Sexual and reproductive health problems are one of the top five risk factors for disability in the developing world. The rates of sexual health problems in most African countries are overwhelming, which is why HIV and other STIs are still such a challenge in sub-Saharan Africa. Talking about sex in most African countries is a taboo, leading to common myths and misconceptions that ultimately impact community sexual health.

METHODS

In this study, we conducted 11 key stakeholder individual interviews with community, religious, political, and health leaders (sexual health stakeholders) in Tanzania. Qualitative content analysis was used to analyze all the materials.

RESULTS

Two main categories merged from the analysis. The first category, "Ambiguities about sexual health" focused on societal and political misconceptions and identified ten myths or misconceptions common in Tanzania. Stakeholders highlighted the confusion that happens when different information about sexual health is presented from two different sources (e.g., community leaders/peers and political leaders), which leaves the community and community leaders unsure which one is reliable. The second category, "Practical dilemmas in serving clients", addressed a range of professional and religious dilemmas in addressing sexual health concerns. This included the inability of religious leaders and health care providers to provide appropriate sexual health care because of internal or external influences.

CONCLUSION

Myths and misconceptions surrounding sexual health can prevent communities from adequately addressing sexual health concerns, and make it more difficult for healthcare providers to comfortably provide sexual health care to patients and communities. Stakeholders affirmed a need to develop a sexual health curriculum for medical, nursing and midwifery students because of the lack of education in this area. Such a curriculum needs to address nine common myths which were identified through the interviews.

Spatial Co-Clustering of Tuberculosis and HIV in Ethiopia

Background: Tuberculosis (TB) and HIV are epidemiologically associated, and their co-dynamics suggest that the two diseases are directly related at the population level and within the host. However, there is no or little information on the joint spatial patterns of the two diseases in Ethiopia. The main objective of the current study was to assess the spatial co-clustering of TB and HIV cases simultaneously in Ethiopia at the district level. Methods: District-level aggregated data collected from the national Health Management Information System (HMIS) for the years 2015 to 2018 on the number of TB cases enrolled in directly observed therapy, short course (DOTS) who were tested for HIV and the number of HIV patients enrolled in HIV care who were screened for TB during their last visit to health care facilities were used in this study. The univariate and bivariate global and local Moran’s I indices were applied to assess the spatial clustering of TB and HIV separately and jointly. Results: The results of this study show that the two diseases were significantly (p-value <0.001) spatially autocorrelated at the district level with minimum and maximum global Moran’s I values of 0.407 and 0.432 for TB, 0.102 and 0.247 for HIV, and 0.152 and 0.251 for joint TB/HIV. The district-level TB/HIV spatial co-clustering patterns in Ethiopia in most cases overlapped with the hot spots of TB and HIV. The TB/HIV hot-spot clusters may appear due to the observed high TB and HIV prevalence rates in the hot-spot districts. Our results also show that there were low-low TB/HIV co-clusters or cold spots in most of the Afar and Somali regions, which consistently appeared for the period 2015−2018. This may be due to very low notifications of both diseases in the regions. Conclusions: This study expanded knowledge about TB and HIV co-clustering in Ethiopia at the district level. The findings provide information to health policymakers in the country to plan geographically targeted and integrated interventions to jointly control TB and HIV.

Association between socio-economic factors and HIV self-testing knowledge amongst South African women

Background

Self-testing for HIV is an effective and alternative method of increasing HIV testing rates and a strategy for reaching populations that are underserved by HIV testing services. Nonetheless, many resource-constrained settings are yet to adopt HIV self-testing (HIVST) into their national HIV programmes.

Objectives

This study aimed to examine the association between socio-economic factors and HIVST knowledge amongst South African women.

Method

We used nationally representative data from the 2016 South African Demographic and Health Survey. A sample of 8182 women of reproductive age was analysed. The outcome variable was HIVST knowledge. This was measured dichotomously; know versus do not know about HIVST. The multivariable logistic model was used to examine the measures of association, with the level of significance set at P < 0.05.

Results

The prevalence rate of HIVST knowledge was found to be approximately 24.5% (95% confidence interval [CI]: 22.9–26.1) amongst South African women. Women with tertiary education were 3.93 times more likely to have HIVST knowledge, when compared with those with no formal education (odds ratio [OR]: 3.93; 95% CI: 1.37–11.26). Rural residents had a 33% reduction in HIVST knowledge when compared with those residing in urban areas (OR: 0.67; 95% CI: 0.51–0.89). The odds of interaction between the richer and richest women who have good knowledge of HIV infection were 1.88 and 2.24 times more likely to have HIVST knowledge, respectively, when compared with those from the poorest wealth household who have good knowledge of HIV infection.

Conclusion

Based on the low level of HIVST knowledge, the findings emphasise the importance of developing effective HIVST educational campaigns. Moreover, programmes should be designed to address the unique needs of the socio-economically disadvantaged women.

Factors Contributing to High HIV Prevalence in Majang Zone, Southwest Ethiopia: What Lies Beneath the Tip of the Iceberg?

BACKGROUND

Despite the tremendous efforts made, HIV epidemic has been continuing to be a public health threat and one of the leading causes of death in sub-Saharan African countries. Gambella region is a high prevalence region persistently exhibiting the highest share of HIV cases in Ethiopia. Thus, the objective of this study was to explore factors contributing to high HIV prevalence in the Majang zone of Gambella region, Southwest Ethiopia.

METHODS

A descriptive qualitative study was conducted in the Majang zone of Gambella region, Southwest Ethiopia from March to May 2019. A heterogeneous purposive sampling technique was employed to recruit key informants and focused group discussion participants. Eighteen key informant interviews and 9 focused group discussions were conducted (N = 90) with health professionals, youth, mothers, and community elders. An interview guide developed through an extensive literature review was used to elicit information from the study participants, and data were collected by the investigators themselves with the help of local guides. Data were audio recorded, transcribed, translated, coded, and analyzed thematically, assisted by Atlas.ti 7.5.16 software. Trustworthiness of the data was ensured through data triangulation, prolonged engagement, member checking, and inquiry audit in which findings were audited and verified by qualitative research experts. Ethical clearance was obtained from the Institutional Review Board of Mizan Tepi University, and written signed informed consent was obtained from all the participants prior to conducting the interviews.

RESULTS

A total of 90 individuals have participated in this study. Several factors appear to underlie the sustained high prevalence of HIV in the study area and were organized into five major themes: 1) government-related factors, 2) community perception towards HIV, 3) substance use, 4) socio-cultural factors, and 5) movement of people.

CONCLUSION

Low government attention towards HIV prevention and control activities, low perceived severity of HIV, substance use, socio-cultural factors, and high movement of people appear to inform the understanding of factors contributing to HIV risk in Majang zone. The sociocultural factors include the use of "Tifo Bet" and social support for polygamy. These findings loudly call for the governmental, non-governmental, and private sectors to reconsider and strengthen strategies for the prevention and control of HIV in the study area.

Socioeconomic Inequalities in Human Immunodeficiency Virus (HIV) Sero-Prevalence among Women in Namibia: Further Analysis of Population-Based Data

Socioeconomic inequality is a major factor to consider in the prevention of human immunodeficiency virus (HIV) transmission. The aim of this study was to investigate socioeconomic inequalities in HIV prevalence among Namibian women. Data from a population-based household survey with multistage-stratified sample of 6501 women were used to examine the link between socioeconomic inequalities and HIV prevalence. The weighted HIV prevalence was 13.2% (95% CI: 12.1–14.3%). The HIV prevalence among the poorest, poorer, middle, richer, and richest households was 21.4%, 19.7%, 16.3%, 11.0%, and 3.7%, respectively. Similarly, 21.2%, 21.7%, 11.8%, and 2.1% HIV prevalence was estimated among women with no formal education and primary, secondary, and higher education, respectively. Women from poor households (Conc. Index = −0.258; SE = 0.017) and those with no formal education (Conc. Index = −0.199; SE = 0.015) had high concentration of HIV infection, respectively. In light of these findings, HIV prevention strategies must be tailored to the specific drivers of transmission in low socioeconomic groups, with special attention paid to the vulnerabilities faced by women and the dynamic and contextual nature of the relationship between socioeconomic status and HIV infection.

Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa

Aim

HIV prevention measures in sub-Saharan Africa are still short of attaining the UNAIDS 90–90-90 fast track targets set in 2014. Identifying predictors for HIV status may facilitate targeted screening interventions that improve health care. We aimed at identifying HIV predictors as well as predicting persons at high risk of the infection.

Method

We applied machine learning approaches for building models using population-based HIV Impact Assessment (PHIA) data for 41,939 male and 45,105 female respondents with 30 and 40 variables respectively from four countries in sub-Saharan countries. We trained and validated the algorithms on 80% of the data and tested on the remaining 20% where we rotated around the left-out country. An algorithm with the best mean f1 score was retained and trained on the most predictive variables. We used the model to identify people living with HIV and individuals with a higher likelihood of contracting the disease.

Results

Application of XGBoost algorithm appeared to significantly improve identification of HIV positivity over the other five algorithms by f1 scoring mean of 90% and 92% for males and females respectively. Amongst the eight most predictor features in both sexes were: age, relationship with family head, the highest level of education, highest grade at that school level, work for payment, avoiding pregnancy, age at the first experience of sex, and wealth quintile. Model performance using these variables increased significantly compared to having all the variables included. We identified five males and 19 females individuals that would require testing to find one HIV positive individual. We also predicted that 4·14% of males and 10.81% of females are at high risk of infection.

Conclusion

Our findings provide a potential use of the XGBoost algorithm with socio-behavioural-driven data at substantially identifying HIV predictors and predicting individuals at high risk of infection for targeted screening.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01346-2.

Spatial patterns and associated factors of HIV Seropositivity among adults in Ethiopia from EDHS 2016: a spatial and multilevel analysis

BACKGROUND

HIV is a major public health issue, especially in developing countries. It is important to track and design successful intervention programs to explore the spatial pattern, distribution, and associated factors of HIV Seropositivity. This study therefore showed the spatial variation of HIV Seropositivity and related factors in Ethiopia.

METHODS

A total sample of 25,774 individual data collected from the 2016 EDHS data were primarily HIV biomarkers, IR, MR, and GPS. Spatial heterogeneity analysis was used with methods such as Morans I, Interpolation, and Kulldorff 's scan statistic. Spatial analysis was conducted using open source tools (QGIS, GeoDa, SaTScan). Multilevel logistic regression analysis was performed using Stata14 to identify HIV-associated factors. Finally, the AOR with a 95% confidence interval was used to report the mixed-effect logistic regression result in the full model.

RESULT

The prevalence of HIV / AIDS at national level was 0.93%. The highest prevalence regions were Gambela, Addis Abeba, Harari and Diredawa, accounting for 4.79, 3.36, 2.65 and 2.6%, respectively. Higher HIV seropositive spatial clusters have been established in the Gambela and Addis Ababa regions. Multilevel analysis at the individual level being married [AOR = 2.19 95% CI: (1.11-4.31)] and previously married [AOR = 6.45, 95% CI: (3.06-13.59)], female [AOR = 1.8, 95% CI: (1.19-2.72)], first-sex at age ≤15 [AOR = 4.39, 95% CI: (1.70-11.34)], 18-19 [AOR = 2.67 95% CI: (1.05-6.8)], middle age group (25-34) [AOR = 6.53, 95% CI: (3.67-11.75)], older age group (>34) [AOR = 2.67 95% CI: (1.05-6.8)], primary school [AOR = 3.03, 95% CI: (1.92-4.79)], secondary school [AOR = 3.37, 95% CI: (1.92-5.92) were significantly associated with serropositivity. Regarding household level, place of residence [urban: AOR = 6.13 CI: (3.12, 12.06)], female-headed households (AOR = 2.24 95% CI: (1.57-3.73), media exposure [low exposure (AOR = 0.53 95% CI: (0.33-0.86), no exposure AOR = 0.39 95% CI: (0.23-0.65)] and increased household size [AOR = 0.72 95% CI: (0.65-0.8)] were associated with HIV Seropositivity.

CONCLUSION

High cluster HIV cases were found in Gambela, Addis Abeba, Harari, and Diredawa. Having a history of married, start sex at a younger age, female-headed household, urban residence, and lower household size is more affected by HIV/AIDS. So any concerned body work around this risk group and area can be effective in the reduction of transmission.

Seroprevalence and Determinants of Human Immunodeficiency Virus Infection Among Women of Reproductive Age in Mozambique: A Multilevel Analysis

Background

Human immunodeficiency virus (HIV) has continued to be one of the foremost public health problems globally. Even as more people living with the disease can now have access to antiretroviral therapy (ART), there are still some regions in the world with high transmission rates. The objective of this study was to examine the prevalence and individual-, household- and community-level factors associated with HIV infection among women of reproductive age in Mozambique.

Methods

We used nationally representative cross-sectional data from the 2015 Survey of Indicators on Immunization, Malaria and HIV or Acquired Immunodeficiency Syndrome (AIDS) in Mozambique. A sample of 4726 women of reproductive age was included in this study. Prevalence was measured in percentage and the factors for HIV infection were examined using a multivariable multilevel logistic regression model. The level of significance was set at P < 0.05.

Results

The seroprevalence of HIV among women in Mozambique was 10.3% (95% CI 9.2%, 11.6%). Furthermore, women who had two, three and four or more total lifetime number of sex partners were 2.73, 5.61 and 3.95 times as likely to have HIV infection when compared with women with only one lifetime sex partners, respectively. In addition, women of Islam religion had 60% reduction in HIV infection when compared with Christian women (adjusted odds ratio, AOR = 0.40; 95% CI 0.16, 0.99). The individual-level model (model B) had the best model fitness with the lowest Akaike information criterion (AIC) = 500.87 and Bayesian information criterion (BIC) = 648.88. The variations in the odds of HIV infection across communities (σ² = 9.61 × 10^–8; SE = 0.55) and households (σ² = 1.02 × 10^–4; SE = 1.02) were estimated. Results from the median odds ratio (MOR = 1.00) did not show any evidence of community and household contextual factors shaping HIV infection. MOR equal to unity (1) indicated that there were no community or household variances given the ICC of 0.0%. At both community and household levels, the explained variances were each 100%. This implied total variances in HIV infection has been explained by the individual-level factors.

Conclusion

In this study, we found that having multiple total lifetime number of sexual partners and religion were predisposing factors for HIV infection at individual woman level. Female headship and wealth quintiles were associated with HIV infection at household level. Community illiteracy, intimate partner violence, poverty and geographical region were associated with HIV infection at community level. Therefore, multifaceted health intervention by stakeholders in the healthcare system will be useful in addressing the multilevel predisposing factors of HIV infection among Mozambican women.

Understanding the association between caregiver sex and HIV infection among orphans and vulnerable children in Tanzania: learning from the USAID Kizazi Kipya project

Background

Tanzania has met only 50.1% of the 90% target for diagnosing HIV in children. The country’s pediatric case finding strategy uses global best practices of index testing, provider-initiated counselling and testing, and targeted community testing of at-risk populations to find about 50,000 children living with HIV (CLHIV) who are undiagnosed. However, context-specific strategies are necessary to find the hidden children to meet the full 90% target. This study assesses whether sex of the caregiver is associated with HIV status of orphans and vulnerable children (OVC) as a valuable strategy for enhanced pediatric case findings.

Methods

Data originate from the community-based, United States Agency for International Development (USAID)-funded Kizazi Kipya Project, which works towards increasing OVC’s and their caregivers’ uptake of HIV/AIDS and other health and social services in Tanzania. Included in this study are 39,578 OVC ages 0–19 years who the project enrolled during January through March 2017 in 18 regions of Tanzania and who voluntarily reported their HIV status. Data analysis involved multi-level logistic regression, with OVC HIV status as the outcome of interest and caregiver’s sex as the main independent variable.

Results

Three-quarters (74.3%) of the OVC included in the study had female caregivers, and their overall HIV prevalence was 7.1%. The prevalence was significantly higher (p < 0.001) among OVC with male caregivers (7.8%) than among OVC with female caregivers (6.8%), and indeed, multivariate analysis showed that OVC with male caregivers were significantly 40% more likely to be HIV-positive than those with female caregivers (OR = 1.40, 95% CI 1.08–1.83). This effect was the strongest among 0–4 year-olds (OR = 4.02, 95% CI 1.61–10.03), declined to 1.72 among 5–9 year-olds (OR = 1.72, 95% CI 1.02–2.93), and lost significance for children over age 9 years. Other significant factors included OVC age and nutritional status; caregiver HIV status and marital status; household health insurance status, and family size; and rural versus urban residence.

Conclusions

OVC in Tanzania with male caregivers have a 40% higher likelihood of being HIV-positive than those with female caregivers. HIV risk assessment activities should target OVC with male caregivers, as well as OVC who have malnutrition, HIV-positive caregivers, or caregivers who do not disclose their HIV status to community volunteers. Further, younger HIV-positive OVC are more likely to live in rural areas, while older HIV-positive OVC are more likely to live in urban areas. These factors should be integrated in HIV risk assessment algorithms to enhance HIV testing yields and pediatric case-finding in the OVC population in Tanzania.

Socio-behavioural characteristics and HIV: findings from a graphical modelling analysis of 29 sub-Saharan African countries

INTRODUCTION

Socio-behavioural factors may contribute to the wide variance in HIV prevalence between and within sub-Saharan African (SSA) countries. We studied the associations between socio-behavioural variables potentially related to the risk of acquiring HIV.

METHODS

We used Bayesian network models to study associations between socio-behavioural variables that may be related to HIV. A Bayesian network consists of nodes representing variables, and edges representing the conditional dependencies between variables. We analysed data from Demographic and Health Surveys conducted in 29 SSA countries between 2010 and 2016. We predefined and dichotomized 12 variables, including factors related to age, literacy, HIV knowledge, HIV testing, domestic violence, sexual activity and women's empowerment. We analysed data on men and women for each country separately and then summarized the results across the countries. We conducted a second analysis including also the individual HIV status in a subset of 23 countries where this information was available. We presented summary graphs showing associations that were present in at least six countries (five in the analysis with HIV status).

RESULTS

We analysed data from 190,273 men (range across countries 2295 to 17,359) and 420,198 women (6621 to 38,948). The two variables with the highest total number of edges in the summary graphs were literacy and rural/urban location. Literacy was negatively associated with false beliefs about AIDS and, for women, early sexual initiation, in most countries. Literacy was also positively associated with ever being tested for HIV and the belief that women have the right to ask their husband to use condoms if he has a sexually transmitted infection. Rural location was positively associated with false beliefs about HIV and the belief that beating one's wife is justified, and negatively associated with having been tested for HIV. In the analysis including HIV status, being HIV positive was associated with female-headed household, older age and rural location among women, and with no variables among men.

CONCLUSIONS

Literacy and urbanity were strongly associated with several factors that are important for HIV acquisition. Since literacy is one of the few variables that can be improved by interventions, this makes it a promising intervention target.

Risk Factors for Infectious Diseases in Urban Environments of Sub-Saharan Africa: A Systematic Review and Critical Appraisal of Evidence

Our world is rapidly urbanizing. According to the United Nations, between 1990 and 2015, the percent of the world's population living in urban areas grew from 43% to 54%. Estimates suggest that this trend will continue and that over 68% of the world's population will call cities home by 2050, with the majority of urbanization occurring in African countries. This urbanization is already having a profound effect on global health and could significantly impact the epidemiology of infectious diseases. A better understanding of infectious disease risk factors specific to urban settings is needed to plan for and mitigate against future urban outbreaks. We conducted a systematic literature review of the Web of Science and PubMed databases to assess the risk factors for infectious diseases in the urban environments of sub-Saharan Africa. A search combining keywords associated with cities, migration, African countries, infectious disease, and risk were used to identify relevant studies. Original research and meta-analyses published between 2004 and 2019 investigating geographical and behavioral risk factors, changing disease distributions, or control programs were included in the study. The search yielded 3610 papers, and 106 met the criteria for inclusion in the analysis. Papers were categorized according to risk factors, geographic area, and study type. The papers covered 31 countries in sub-Saharan Africa with East Africa being the most represented sub-region. Malaria and HIV were the most frequent disease focuses of the studies. The results of this work can inform public health policy as it relates to capacity building and health systems strengthening in rapidly urbanizing areas, as well as highlight knowledge gaps that warrant additional research.

Social cohesion, social trust, social participation and sexual behaviors of adolescents in rural Tanzania

Background

Social cohesion, defined as a glue holding society together, has been found to influence several aspects of human behavior. Social cohesion, being composed of social trust and social participation, is a social factor that may influence sexual behaviors. Unfortunately, studies investigating the influence of social cohesion on sexual behaviors among young people are scarce. This study examined the influence of social cohesion on safe sexual behavior among adolescents in rural Tanzania.

Methods

A cross-sectional study was conducted among 403 school adolescents of the Newala district, between May and August 2010. Socio-demographic characteristics, social cohesion (social trust and social participation) and sexual behavior (age at sexual debut, intention to use and reported condom use, number of sexual partners) were obtained through self-administered questionnaires. Data analysis was performed using descriptive statistics and binary logistic regression.

Results

Sexual debut at under 13 years of age was reported by 12% of the respondent. A majority (71%) reported multiple sexual partnerships and half of the participants reported to have used a condom at their last sexual encounter. The intention to use a condom was reported by 77% of the respondents. Having multiple sexual partnerships was associated with social trust only (odds ratio: 3.5, 95% CI 1.01–12.3) whereas reported condom use was related with social cohesion (odds ratio 4.8 95% CI 1.66–14.06). Social cohesion, trust or participation was not associated with young age at sexual debut or intention to use a condom. Being a female (odds ratio 2.07 95% CI 1.04–4.12.) was associated with intention to use a condom.

Conclusion

This study indicates that social cohesion and socio-demographic factors influence actual behavior performance and behavioral intentions. The findings point to the importance of collecting more evidence on social cohesion and sexual behaviors in different settings and designing interventions that enhance social cohesion among adolescents in order to reinforce positive sexual behaviors.

Electronic supplementary material

The online version of this article (10.1186/s12889-019-6428-7) contains supplementary material, which is available to authorized users.

Syphilis and HIV infections among pregnant women attending antenatal clinics in Republic of Congo

Introduction

HIV and syphilis during pregnancy remain a public health concern especially in developing countries. Pregnant women attending antenatal clinics sites for the first time between September and December 2011 and who accepted to participate in the study were enrolled. The objective was to estimate the syphilis and HIV infection rate in this population.

Methods

A study was conducted in 44 selected ANCs from 12 departments (5 urban and 7 rural). Pregnant women who accepted to participate in the study, attending selected sentinel ANCs sites for the first time between September and December 2011 were enrolled. To detect HIV antibodies, two consecutive ELISA assays were used (Genscreen Ultra HIV Ag/Ac, (BioRad, France) and Enzygnostic Intergral II (Siemens, GMBH, Marbug-Germany). In case of discordant results, the Western blot test II, HIV1 and 2 (Bio-Rad, Marne la Coquette, France) was used as the reference method. The RPR (Bio-Scan, Karnataka, India) test was performed to detect syphilis infection. The RPR positive results were confirmed using the TPHA test (Biotech, Cambridge, UK). Data were analyzed using SPSS 17.0 software.

Results

A total of 2979 pregnant women attending ANCs were enrolled. The global HIV infection rate was estimated to be 3.6% (CI: 95%; 3.0-4.4). As expected, HIV prevalence was significantly higher in women aged above 25 years (4.4% (3.4-5.6), p = 0.026) and those attending urban ANCs (5.04%, p < 0.01). Also, women living in the urban area are more at risk to be infected (5.04 VS 2.38, p < 0.01). The RPR test was positive in 117 pregnant women (3.92%). The risk for syphilis occurrence was significantly higher among the single women compared to the married ones (4.4% VS 2.7%; p < 0.01). It was also estimated that the HIV and syphilis coinfection occurred in 22 cases (0.73%).

Conclusion

The prevalence's of syphilis and HIV were relatively low. Marital status and sentinel site location were a risk factor associated with HIV and syphilis infections respectively. Therefore, substantial effort is needed to reinforce prevention strategies in this population to prevent mother-to-child and further horizontal transmissions of these infections.