A large amount of preparation goes into setting up trials. Different challenges and lessons are experienced. Our trial, testing a treatment for nodding syndrome, an acquired neurological disorder of unknown cause affecting thousands of children in Eastern Africa, provides a unique case study. As part of a study to determine the aetiology, understand pathogenesis and develop specific treatment, we set up a clinical trial in a remote district hospital in Uganda. This paper describes our experiences and documents supportive structures (enablers), challenges faced and lessons learned during set-up of the trial. Protocol development started in September 2015 with phased recruitment of a critical study team. The team spent 12 months preparing trial documents, procurement and training on procedures. Potential recruitment sites were pre-visited, and district and local leaders met as key stakeholders. Key enablers were supportive local leadership and investment by the district and Ministry of Health. The main challenges were community fears about nodding syndrome, adverse experiences of the community during previous research and political involvement. Other challenges included the number and delays in protocol approvals and lengthy procurement processes. This hard-to-reach area has frequent power and Internet fluctuations, which may affect cold chains for study samples, communication and data management. These concerns decreased with a pilot community engagement programme. Experiences and lessons learnt can reduce the duration of processes involved in trial-site set-up. A programme of community engagement and local leader involvement may be key to the success of a trial and in reducing community opposition towards participation in research.

Background: In Uganda, most-at-riskpopulations(MARPs) such as fishing communities remain vulnerable to preventable HIV acquisition. Safe Male Circumcision (SMC) has been incorporated into Uganda’s HIV prevention strategies. This study aimed at determining SMC utilization and associated factors among adult men in a rural fishing community in Uganda.Methods: A cross-sectional study was conducted in a rural fishing village in central Uganda. Stratified random sampling of 369 fishermen aged 18-54 yearswas used according to their occupational category; fish monger, boat crew and general merchandise.The dependent variable wasutilization of SMC.A forward fitting multivariable logistic regression model was fitted with variables significant at p≤0.05controlling for confounding and effect modification.Results: Respondents’mean(SD) age was 30.0(9.3) years. Only8.4%hadSMC and among non-circumcised men, 84.9% had adequate knowledge of SMC benefits while 79.3% did not know were SMC services were offered.Peer support(AOR0.17;95%CI0.05-0.60) and perceived procedural safety (AOR6.8;95%CI2.16-21.17) were independently associated with SMC utilization.Conclusion: In this rural fishing community, SMC utilization was low. These findings underscore the need to inform HIV preventionstrategies inthecontextof peer support and perceptionsheld by rural dwelling men.Keywords: Safe male circumcision, utilization, fishing community, Most-at-risk populations, Uganda.

Cases of coronavirus disease 2019 (COVID-19) detected, and COVID-19 associated mortality increased since the first case was confirmed in Uganda. While adherence to WHO-recommended measures to disrupt COVID-19 transmission has since been implemented, it has been reported to be sub-optimal. An increase in intimate partner violence (IPV) cases was linked to enforcement of COVID-19 lockdowns and other preventive measures especially in informal settings of Kampala. We determined the association between adherence to COVID-19 preventive measures and intimate partner violence among women dwelling in informal settings in Kampala, Uganda. Between July and October 2020, we conducted a three-month prospective cohort study of 148 women living in informal settlements of Kampala during the COVID-19 lockdown and easing of restrictive measures. Participants were surveyed at baseline, at 3-weeks and 6-weeks (endline). The dependent variable was adherence to COVID-19 preventive measures (remained adherent vs poorly adherent) between baseline and endline surveys. This composite outcome variable was computed from implementing all four variables: social distancing, wearing face masks, frequent hand washing and use of hand sanitizers at baseline and endline surveys. The key independent variable was IPV measured as experiencing at least one form of physical, emotional, or sexual IPV. Covariates were age, education, marital status, household size, occupation, and having problems getting food. Adjusted logistic regression analyses tested the independent association between adherence to COVID-19 preventive measures and intimate partner violence. Among 148 respondents, the mean age (SD) was 32.9 (9.3) years, 58.1% were exposed to at least one form of IPV, and 78.2% had problems getting food. Overall, 10.1% were poorly adherent to COVID-19 preventive measures during the first COVID-19 wave. After controlling for potential confounders, remaining adherent to COVID-19 preventive measures were more likely to experience intimate partner violence when compared to women who were poorly adherent to COVID-19 preventive measures during the first COVID-19 wave in Uganda [OR 3.87 95%CI (1.09, 13.79)]. Proportions of women in informal settlements of Kampala experiencing at least one form of IPV during the first COVID-19 wave is substantial. Remaining adherent to preventive measures for COVID-19 transmission may increase IPV exposure risk among women living in informal settlements in Kampala. Contextualizing COVID-19 interventions to the needs of marginalized and vulnerable women and girls in informal settings of Kampala is warranted. Processes to integrated violence prevention and response strategies into the Uganda COVID-19 prevention strategy are underscored.

IntroductionPediatric traumatic injury is a major public health concern that is poorly documented in lower and middle-income countries. This study analyzed data on pediatric injuries from a unique hospital trauma registry in Abuja, Nigeria.MethodsData were analyzed on 220 traumatically injured patients aged 21 years/less to describe injury characteristics and to determine the association between mechanism of injury and pediatric head injuries in Abuja, Nigeria, between 2014 and 2015. Bivariate analysis using Pearson's chi-square and adjusted logistic regression were conducted to characterize the population and identify risk factors for head injury. P-values<0.05 were considered statistically significant. All statistical analyses were performed using STATA v.15.1.ResultsThe majority of patients were male (60.9%) with a mean age (SD) of 12.5±6.9 years. Head injuries were most common (49.6%), followed by chest (14.1%), abdomen (12.3%) and back (7.7%). The mechanism of injury was statistically significantly associated with head injury (p=0.027) with 63% of children in a motor vehicle accident sustaining a head injury. After adjusting for covariates, the odds of head injury were 3.8 times higher for children injured in a motor vehicle accidents (MVA) compared to those with falls (95%CI 1.40-10.40).ConclusionThis analysis reveals that motor vehicle accident is a risk factor for traumatic head injury among children in Nigeria. Therefore, efforts should be made to address motor vehicle accidents involving children. These data will help to inform age-related prevention and treatment strategies. The results of this study highlight the importance of collecting pediatric trauma data in developing countries.

Background Firearm fatalities are a major public health concern, claiming the lives of 40,000 Americans each year. While firearm fatalities have pervasive effects, it is unclear how social determinants of health (SDOH) such as residential racial segregation, income inequality, and community resilience impact firearm fatalities. This study investigates the relationships between these SDOH and the likelihood of firearm fatalities. Methods County-level SDOH data from the Agency for Health Care Research and Quality for 2019 were analyzed, covering 72 Wisconsin counties. The dependent variable was the number of firearm fatalities in each county, used as a continuous variable. The independent variable was residential racial segregation (Dissimilarity Index), defined as the degree to which non-White and White residents were distributed across counties, ranging from 0 (complete integration) to 100 (complete segregation), and higher values indicate greater residential segregation (categorized as low, moderate, and high). Covariates were income inequality ranging from zero (perfect equality) to one (perfect inequality) categorized as low, moderate, and high, community resilience risk factors (low, moderate, and high risks), and rural-urban classifications. Descriptive/summary statistics, unadjusted and adjusted negative binomial regression adjusting for population weight, were performed using STATA/MPv.17.0; P-values ≤ 0.05 were considered statistically significant. ArcMap was used for Geographic Information System analysis. Results In 2019, there were 802 firearm fatalities. The adjusted model demonstrates that the risk of firearm fatalities was higher in areas with high residential racial segregation compared to low-segregated areas (IRR.:1.26, 95% CI:1.04–1.52) and higher in areas with high-income inequality compared to areas with low-income inequality (IRR.:1.18, 95% CI:1.00–1.40). Compared to areas with low-risk community resilience, the risk of firearm fatalities was higher in areas with moderate (IRR.:0.61, 95% CI:0.48–0.78), and in areas with high risk (IRR.:0.53, 95% CI:0.41–0.68). GIS analysis demonstrated that areas with high racial segregation also have high rates of firearm fatalities. Conclusion Areas with high residential racial segregation have a high rate of firearm fatalities. With high income inequality and low community resilience, the likelihood of firearm fatalities increases.