Magnitude of risky sexual practice and associated factors among big construction site daily laborers in Bahir Dar city, Amhara Region, Ethiopia

Mitiku, Kalkikan Worku; Azage, Muluken; Bantie, Getasew Mulat; Aynie, Amare Alamirew

doi:10.1371/journal.pone.0241220

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…Even though many policies and strategies have been designed and implemented in Ethiopia, RSB remains to be a great public health concern. The national level magnitude identified is lower than the findings of the studies conducted in Benshangul Gumuz, Harari regional state, Gondar, Mekelle, Axum, Bahir Dar, and systematic review and meta-analysis study conducted on college and university students [3,13,15,[33][34][35][36]. This might be because of the difference in the size of the denominator, and study area.…”

Section: Discussioncontrasting

confidence: 57%

Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey

Anley,

Zemene,

Gebeyehu

et al. 2024

PLoS ONE

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Introduction Sexual behaviour needs to take a central position in the heart of public health policy makers and researchers. This is important in view of its association with Sexually Transmitted Infections (STIs), including HIV. Though the prevalence of HIV/AIDS is declining in Ethiopia, the country is still one of the hardest hit in the continent of Africa. Hence, this study was aimed at identifying hot spot areas and associated factors of risky sexual behavior (RSB). This would be vital for more targeted interventions which can produce a sexually healthy community in Ethiopia. Methods In this study, a cross-sectional survey study design was employed. A further analysis of the 2016 Ethiopia Demographic and Health Survey data was done on a total weighted sample of 10,518 women and men age 15–49 years. ArcGIS version 10.7 and Kuldorff’s SaTScan version 9.6 software were used for spatial analysis. Global Moran’s I statistic was employed to test the spatial autocorrelation, and Getis-Ord Gi* as well as Bernoulli-based purely spatial scan statistics were used to detect significant spatial clusters of RSB. Mixed effect multivariable logistic regression model was fitted to identify predictors and variables with a p-value ≤0.05 were considered as statistically significant. Result The study subjects who had RSB were found to account about 10.2% (95% CI: 9.64%, 10.81%) of the population, and spatial clustering of RSB was observed (Moran’s I = 0.82, p-value = 0.001). Significant hot spot areas of RSB were observed in Gambela, Addis Ababa and Dire Dawa. The primary and secondary SaTScan clusters were detected in Addis Ababa (RR = 3.26, LLR = 111.59, P<0.01), and almost the entire Gambela (RR = 2.95, LLR = 56.45, P<0.01) respectively. Age, literacy level, smoking status, ever heard of HIV/AIDS, residence and region were found to be significant predictors of RSB. Conclusion In this study, spatial clustering of risky sexual behaviour was observed in Ethiopia, and hot spot clusters were detected in Addis Ababa, Dire Dawa and Gambela regions. Therefore, interventions which can mitigate RSB should be designed and implemented in the identified hot spot areas of Ethiopia. Interventions targeting the identified factors could be helpful in controlling the problem.

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Section: Discussioncontrasting

confidence: 57%

Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey

Anley,

Zemene,

Gebeyehu

et al. 2024

PLoS ONE

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“…This finding is supported by studies conducted in sub-Sahara Africa and Swaziland [ 43 , 45 ]. This could be due to different working area exposures [ 46 ]. The other reason could be the nature of the working area where worker in sex workers, bars, and nightclubs which is more vulnerable to unprotected causal sex [ 47 ].…”

Section: Discussionmentioning

confidence: 99%

Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016

et al. 2023

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Introduction Sexually transmitted infections (STIs) are the major public health problem globally, affecting millions of people every day. The burden is high in the Sub-Saharan region, including Ethiopia. Besides, there is little evidence on the distribution of STIs across Ethiopian regions. Hence, having a better understanding of the infections is of great importance to lessen their burden on society. Therefore, this article aimed to assess predictors of STIs using machine learning techniques and their geographic distribution across Ethiopian regions. Assessing the predictors of STIs and their spatial distribution could help policymakers to understand the problems better and design interventions accordingly. Methods A community-based cross-sectional study was conducted from January 18, 2016, to June 27, 2016, using the 2016 Ethiopian Demography and Health Survey (EDHS) dataset. We applied spatial autocorrelation analysis using Global Moran’s I statistics to detect latent STI clusters. Spatial scan statics was done to identify local significant clusters based on the Bernoulli model using the SaTScan™ for spatial distribution and Supervised machine learning models such as C5.0 Decision tree, Random Forest, Support Vector Machine, Naïve Bayes, and Logistic regression were applied to the 2016 EDHS dataset for STI prediction and their performances were analyzed. Association rules were done using an unsupervised machine learning algorithm. Results The spatial distribution of STI in Ethiopia was clustered across the country with a global Moran’s index = 0.06 and p value = 0.04. The Random Forest algorithm was best for STI prediction with 69.48% balanced accuracy and 68.50% area under the curve. The random forest model showed that region, wealth, age category, educational level, age at first sex, working status, marital status, media access, alcohol drinking, chat chewing, and sex of the respondent were the top 11 predictors of STI in Ethiopia. Conclusion Applying random forest machine learning algorithm for STI prediction in Ethiopia is the proposed model to identify the predictors of STIs.

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Risky sexual practices and associated factors among taxi drivers in the Finoteselam town, northwest Ethiopia, 2023: a community-based cross-sectional study

Laikemariam,

Fetene

2024

Front. Reprod. Health

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BackgroundRisky sexual practices among taxi drivers pose a significant threat to public health, contributing to the spread of sexually transmitted infections (STIs) and HIV/AIDS. The nature of their profession often exposes taxi drivers to factors that increase their vulnerability to engaging in risky sexual practices. Although research on sexual health in general is readily available, studies specifically focused on this population are limited. Understanding the contributing factors behind risky sexual practices among taxi drivers is crucial to developing targeted interventions that address their unique needs and vulnerabilities.ObjectivesTo assess the prevalence and associated factors of risky sexual practices among taxi drivers in Finoteselam town, northwest Ethiopia, 2023.MethodsA cross-sectional study was conducted among 359 taxi drivers in the Finoteselam town. Data were collected using pre-tested questionnaires and analyzed using SPSS. Bivariate and multivariable analyses were performed to identify factors associated with risky sexual practices. In the bivariate analysis, a p-value ≤ 0.25 at 95% CI was used to consider the variables in the multivariate analysis. Finally, statistical significance was declared with a p-value of less than 0.05 with a 95% CI.ResultsThe prevalence of risky sexual practices among taxi drivers was 32.9 (95% CI: 28.01, 38.7). Living alone (AOR = 3.47, 95% CI: 1.86, 6.48), taxi ownership (AOR = 2.08, 95% CI: 1.01, 4.25), neglecting the discussion of the SRH issue (AOR = 2.05, 95% CI: 1.08, 4.00), substance use (AOR = 1.56, 95% CI: 1.04, 2.09), attending night clubs (AOR = 6.04, 95% CI: 1.97, 18.55) and watching pornographic materials (AOR = 4.44, 95% CI: 2.14, 9.19) were significantly associated with risky sexual practices.Conclusions and recommendationThis study revealed a high prevalence of risky sexual practices among taxi drivers in Finoteselam town. Therefore, a comprehensive approach involving different stakeholders is required for reducing risky sexual practices. Information dissemination, awareness creation (about risks of attending nightclubs, substance use, and watching pornography), and encouraging knowledge sharing about sexual health are some of the interventions required to reduce risky sexual practices among taxi drivers.

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Magnitude of risky sexual practice and associated factors among big construction site daily laborers in Bahir Dar city, Amhara Region, Ethiopia

Cited by 4 publications

References 18 publications

Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey

Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey

Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016

Risky sexual practices and associated factors among taxi drivers in the Finoteselam town, northwest Ethiopia, 2023: a community-based cross-sectional study

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