Malaria patterns across altitudinal zones of Mount Elgon following intensified control and prevention programs in Uganda.

BACKGROUND: Malaria remains a major tropical vector-borne disease of immense public health concern owing to its debilitating effects in sub-Saharan Africa. Over the past 30 years, the high altitude areas in Eastern Africa have been reported to experience increased cases of malaria. Governments including that of the Republic of Uganda have responded through intensifying programs that can potentially minimize malaria transmission while reducing associated fatalities. However, malaria patterns following these intensified control and prevention interventions in the changing climate remains widely unexplored in East African highland regions. This study thus analyzed malaria patterns across altitudinal zones of Mount Elgon, Uganda. METHODS: Times-series data on malaria cases (2011-2017) from five level III local health centers occurring across three altitudinal zones; low, mid and high altitude was utilized. Inverse Distance Weighted (IDW) interpolation regression and Mann Kendall trend test were used to analyze malaria patterns. Vegetation attributes from the three altitudinal zones were analyzed using Normalized Difference Vegetation Index (NDVI) was used to determine the Autoregressive Integrated Moving Average (ARIMA) model was used to project malaria patterns for a 7 year period. RESULTS: Malaria across the three zones declined over the study period. The hotspots for malaria were highly variable over time in all the three zones. Rainfall played a significant role in influencing malaria burdens across the three zones. Vegetation had a significant influence on malaria in the higher altitudes. Meanwhile, in the lower altitude, human population had a significant positive correlation with malaria cases. CONCLUSIONS: Despite observed decline in malaria cases across the three altitudinal zones, the high altitude zone became a malaria hotspot as cases variably occurred in the zone. Rainfall played the biggest role in malaria trends. Human population appeared to influence malaria incidences in the low altitude areas partly due to population concentration in this zone. Malaria control interventions ought to be strengthened and strategically designed to achieve no malaria cases across all the altitudinal zones. Integration of climate information within malaria interventions can also strengthen eradication strategies of malaria in such differentiated altitudinal zones.

Perceived factors associated with boda-boda (motorcycle) accidents in Kampala, Uganda.

Objective: According to the United Nations, nearly 1.25 million people are killed and up to 50 million people are injured on the world's roads every year. Uganda loses about 10 people daily to road accidents, costing about US$1.2 billion annually, which represents about 5% of the gross domestic product (GDP). The objective of this study was to identify causal factors that can be associated with boda-boda accidents in Uganda.Method: A cross sectional study assessed 200 boda-boda riders in the urban areas of Kampala, Uganda. Interviews using semistructured questionnaires were administered to all participants. Data were entered in Excel and imported to STATA for analysis. Multivariate and bivariate analyses were conducted to determine factors that influenced accident risk perception. All variables that were significant at a bivariate level and thought to be theoretically important in influencing the outcome variable were included in a logistic regression model. All tests were performed at a significance of P < .05.Results: Competition for passengers with other public transport operators (83%), negligence of road safety rules (78%), and inadequate helmet usage (62%) were the main factors perceived to be associated with boda-boda accidents. Other factors identified by the respondents include age of the boda-boda rider (58%) and drug use (56%; P < .05). At multivariate analysis, competition for passengers (adjusted odds ratio [AOR] = 17; 95% confidence interval CI, 1.34-26.5) and being in between 18 and 25 years old (AOR = 19; 95% CI, 1.42-27.1) remained statistically significant.Conclusions: This study revealed behavioral factors by all public transport users as the main factors associated with boda-boda accidents in urban Kampala. This demonstrates the need for holistic interventions to address such boda-boda accidents in Uganda. Such interventions can be through digitization of transport system for clients to engage remotely with the transport operators, routine refresher trainings of all transport operators, and construction of lanes for boda-boda riders.