Background Pregnant teenage women are prime targets of violence against women perpetrated by intimate partners, family members, and miscreants in their neighborhoods. This study estimated the prevalence of Teenage pregnancy (TP) and Physical Violence (PV) and further assessed the relationship between TP and PV in five Low-and-Middle-Income Countries (LMICs). Methods The study was conducted among five LIMCs (Burkina Faso, Kenya, Malawi, Nigeria, and Tanzania) using data from the most recent Demographic and Health Surveys conducted in these countries. Modified Poisson with the robust standard error was used to quantify the association between TP and PV. All analyses adjusted for the complex survey design structure (clustering, weighting, and stratification). Results The analysis involved a total of 26055 adolescent women aged 15–19 years across the five countries. The overall prevalence of TP was 25.4% (95%CI = 24.4–26.4) with the highest prevalence occurring among Malawians [29.0% (95%CI = 27.4–30.7)]. Meanwhile, the prevalence of TP among older adolescents (18–19 years) was approximately two-thirds significantly higher compared with young adolescents [aPR(95%CI) = 1.60[1.49–1.71)]. The prevalence of PV among teenagers across the five countries was 24.2% (95%CI = 22.3–26.2). The highest prevalence of PV was recorded among Nigerian adolescent women [31.8% (95%CI = 28.5–35.3)]. The prevalence of PV among adolescent women who were pregnant was approximately 5-folds significant compared to those who were not pregnant (adjusted prevalence ratio; aPR = 4.70; 95% CI: 3.86–5.73; p<0.0001). Conclusion There was a high prevalence of pregnancy among older teenagers aged 18–19 years. Close to a quarter of teenage women ever experienced physical violence. Pregnant teenage women ever experience of physical violence was very high compared to non-pregnant peers. Intervention should target PV and TP by adopting a gender-sensitive approach to eliminate physical violence, particularly among teenagers to prevent TP.

Objective: This analysis described the clinical features of COVID-19 in the early phase of the pandemic in Ghana.Methods: Data were extracted from two national COVID-19 treatment centers in Ghana for over 11 weeks(from March to May 2020). Descriptive and inferential statistics were performed. Modified Ordered Logistic and Negative Binomial Regression analysis were applied to establish factors associated with illness severity and Non-communicable Disease (NCDs) counts respectively. All analysis was conducted at the 95% confidence level (p-value ≤ 0.05) using Stata 16.Results: Among the 275 patients, the average age was 40.7±16.4, with a preponderance of males (54.5%). The three commonest symptoms presented were cough (21.3%), headache (15.7%), and sore throat (11.7%). Only 7.6% of the patients had a history of fever. Most patients were asymptomatic (51.65). Approximately 38.9% have an underlying co-morbid NCDs, with Hypertension (32.1%), Diabetes (9.9%), and Asthma (5.2%) being the three commonest. The odds of Moderate/severe (MoS) was significantly higher for those with unknown exposures to similar illness [aOR(95%CI) = 4.27(1.12-10.2)] compared with non-exposure to similar illness. An increased unit of NCD’s count significantly increased the odds of COVID-19 MoS illness by 26%[cOR(95%CI) =1.26(1.09-1.84)] and 67% (adjusting for age) [aOR(95%CI)=1.67(1.13-2.49)].Conclusion: The presence of cardiovascular co-morbidities dictated the frequency of reported symptoms and severity of COVID-19 infection in this sample of Ghanaians. Physicians should be aware of the presence of co-morbid NCDs and prepare to manage effectively among COVID-19 patients.

ObjectiveThis study was conducted to estimate the prevalence of disability and associated factors and further quantify the associated sex differential among Ghana’s workforce aged 15+ years.DesignA nationally stratified cross-sectional study.SettingGhana.ParticipantsIndividuals aged 15 years and above.Outcome measureDisability that limits full participation in life activities.MethodsThree predictive models involving Poisson, logistic and probit regression were performed to assess the association between disability and covariates. Modified Poisson multivariate decomposition analysis method was employed to assess sex differential and associated factors using Stata V.16.ResultsThe prevalence of disability was 2.1% (95% CI 1.2 to 2.4), and the risk of disability among males was approximately twice compared with females (Poisson estimate: adjusted prevalence ratio (95% CI)=1.94 (1.46 to 2.57); logistic estimate: aOR (95% CI)=2.32 (1.73 to 3.12)). Male sex increased the log odds of disability by 0.37 (probit estimate, aβ (95% CI)=0.37 (0.23 to 0.50)). The variability in age group, marital status, household (HH) size, region, place of residence, relationship to HH head, hours of work per week and asset-based wealth were significantly associated with disability-based sex differential. (Significant increased endowment: β×10−3 (95% CI×10−3)=−37.48 (−56.81 to −18.16) and significant decreased coefficient: β×10−3 (95% CI×10−3)=42.31 (21.11 to 63.49).) All disability participants were challenged with activities of daily living, limiting them in full participation in life activities such as mobility, work and social life.ConclusionThe magnitude of experiencing disability among working males was nearly twice that of females. Sex differentials were significantly associated with age groups, marital status, HH size, region of residence, relationship to HH head, hours of work per week and wealth. Our findings amass the provisional needs of persons living with a disability that are indicators to consider to achieve the United Nations Convention on the Rights of Persons with Disabilities Article 10. In addition, formulation of workplace policies should adopt a gender-sensitive approach to reduce disparities and eliminate disability in the target population.

Introduction COVID-19 is a new disease, knowledge on the mode of transmission and clinical features are still evolving, new tests are being developed with inherent challenges regarding interpretation of tests results. There is generally, a gap in knowledge on the virus globally as the pandemic evolves and in Ghana, there is dearth of information and documentation on the clinical characteristics of the virus. With these in mind, we set out to profile the initial cohort of COVID-19 patients who recovered in Ghana. Methods: We reviewed clinical records of all confirmed cases of COVID-19 who had recovered from the two main treatment centres in Accra, Ghana. Descriptive data analysis was employed and presented in simple and relational tables. Independent t-test and ANOVA were used to determine differences in the mean age of the sexes and the number of days taken for the first and second retesting to be done per selected patient characteristics. Results: Of the 146 records reviewed, 54% were male; mean age of patients was 41.9 ± 17.5 years, nearly half were asymptomatic, with 9% being severely ill. The commonest presenting symptoms were cough (22.6%), headache (13%) and sore throat (11%) while the commonest co-morbidities were hypertension (25.3%), diabetes mellitus (14%) and heart disease (3.4%). Conclusion: COVID-19 affected more males than females; nearly half of those infected were asymptomatic. Cough, headache and sore throat were the commonest symptoms and mean duration from case confirmation to full recovery was 19 days. Further research is required as pandemic evolves