The National Research Repository of Uganda - NRU
Welcome to the National Research Repository of Uganda, abbreviated as "NRU". NRU was established in 2021. NRU is a collection of scholarly output by researchers from the UNCST Community, including scholarly articles and books, electronic theses and dissertations, conference proceedings, journals, technical reports and digitised library collections. It is the official Institutional Archive (IA) of UNCST.
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For information about the publishers' copyright policy on archiving your articles online or in an institutional archive, visit the Sherpa Site at http://www.sherpa.ac.uk/romeo.php The site gives a summary of the permissions normally given as part of each publisher's copyright transfer agreement. If you wish to publish your research findings in the NRU, please contact NRU administrator at admin@uncst.go.ug for details. NRU operates both open access and closed access models. Access to fulltext has been restricted in adherence to the UNCST Intellectual Property Rights (IPR) and Copyrights policies.
Other Useful Resources:
Africa Portal is an online repository of open access library collection with over 3,000 books, journals, and digital documents on African policy issues. This is an initiative by the Centre for International Governance Innovation (CIGI), Makerere University (MAK), and the South African Institute of International Affairs (SAIIA). Please visit the Africa Portal at http://www.africaportal.org/library.
Communities in NRU
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- This community contains Books and Book Abstracts
- This community contains Ugandan Conference proceedings
- This community contains consolidated Ugandan Institutional Annual Research Reports on a broad range of subjects
- This community contains approved and running institutional repository policies from different research institutions
- This community contains peer reviewed publications about Uganda and from Ugandan Researchers. The community has been classified to thematic research sub communities of Agricultural Sciences, Engineering and Technology, Humanities, Medical and Health Sciences, Natural Sciences and Social Sciences.
Recent Submissions
Determinants of costs of human papillomavirus vaccine delivery in six low- and middle-income countries
(Elsevier Ltd, 2024-10) Mvundura, Mercy; Slavkovsky, Rose; Debellut, Frédéric; Naddumba, Teddy; Pecenka, Clint;; Scott Lamontagne, D.
Evidence on determinants of vaccine delivery costs can inform program design and planning. Given the dearth of this evidence for human papillomavirus (HPV) vaccine, we conducted an analysis to identify programmatic and operational factors that are statistically associated with variations in economic costs for HPV vaccine delivery, within and across six low- and middle-income countries. HPV vaccine program operations and cost data were collected from Ethiopia, Guyana, Rwanda, Senegal, Sri Lanka, and Uganda. An ordinary least square regression analysis was done using data from 279 health facilities in these six countries. We ran country-specific and pooled multivariate linear regressions. A conditional regression including 228 facilities was also run. The dependent variable was the estimated total economic costs for HPV vaccine delivery per facility, excluding vaccine procurement costs. Explanatory variables included number of HPV vaccine doses delivered; numbers of vaccination sessions conducted, and schools served; distance traveled by health workers for vaccine delivery; intensity of conducting program activities; human resource (health workers, school staff, etc.) utilization rates; and categorical variables indicating whether per diems were paid, and for country-specific dummies; Explanatory variables such as the number of program activities or meetings held, receipt of per diems, and utilization rates of health workers, were all positively and statistically significantly associated with economic costs in the pooled sample, for both the unconditional and conditional regressions. Variables such as the doses delivered, and number of sessions conducted were statistically significant in the unconditional regression. The within-country regression found that only variations in utilization rates of health workers were statistically significant in all countries. Our analysis provides evidence to HPV vaccination program stakeholders on which program context variables impact costs, which can inform program adjustment to improve cost efficiency, especially as programs managers work to revitalize and rebuild HPV vaccine coverage after the COVID-19 pandemic.Evidence on determinants of vaccine delivery costs can inform program design and planning. Given the dearth of this evidence for human papillomavirus (HPV) vaccine, we conducted an analysis to identify programmatic and operational factors that are statistically associated with variations in economic costs for HPV vaccine delivery, within and across six low- and middle-income countries. HPV vaccine program operations and cost data were collected from Ethiopia, Guyana, Rwanda, Senegal, Sri Lanka, and Uganda. An ordinary least square regression analysis was done using data from 279 health facilities in these six countries. We ran country-specific and pooled multivariate linear regressions. A conditional regression including 228 facilities was also run. The dependent variable was the estimated total economic costs for HPV vaccine delivery per facility, excluding vaccine procurement costs. Explanatory variables included number of HPV vaccine doses delivered; numbers of vaccination sessions conducted, and schools served; distance traveled by health workers for vaccine delivery; intensity of conducting program activities; human resource (health workers, school staff, etc.) utilization rates; and categorical variables indicating whether per diems were paid, and for country-specific dummies; Explanatory variables such as the number of program activities or meetings held, receipt of per diems, and utilization rates of health workers, were all positively and statistically significantly associated with economic costs in the pooled sample, for both the unconditional and conditional regressions. Variables such as the doses delivered, and number of sessions conducted were statistically significant in the unconditional regression. The within-country regression found that only variations in utilization rates of health workers were statistically significant in all countries. Our analysis provides evidence to HPV vaccination program stakeholders on which program context variables impact costs, which can inform program adjustment to improve cost efficiency, especially as programs managers work to revitalize and rebuild HPV vaccine coverage after the COVID-19 pandemic.
MEDLINE - Academic
Is fat mass a better predictor of 6-month survival than muscle mass among African children aged 6–59 months with severe pneumonia?
(BioMed Central, 2024-09) Nalwanga, Damalie; Musiime, Victor; Kiguli, Sarah; Olupot-Olupot, Peter; Alaroker, Florence;; Opoka, Robert;; Tagoola, Abner; Mnjalla, Hellen; Mogaka, Christabel; Nabawanuka, Eva; Giallongo, Elisa; Karamagi, Charles; Briend, André; Maitland, Kathryn
Pneumonia remains the leading cause of mortality among children under 5 years. Poor nutritional status increases pneumonia mortality. Nutritional status assessed by anthropometry alone does not provide information on which body composition element predicts survival. Body composition proxy measures including arm-fat-area (AFA), arm-muscle-area (AMA), and arm-muscle-circumference (AMC) could be useful predictors. To compare the ability of fat and muscle mass indices to predict 6-month survival among children with severe pneumonia. This prospective cohort study was nested in the COAST-Nutrition trial (ISRCTN10829073, 06/06/2018) conducted between June 2020 and October 2022 in Uganda and Kenya. We included children aged 6-59 months hospitalized for severe pneumonia with hypoxemia. Children with severe malnutrition, known chronic lung or cardiac diseases were excluded. Anthropometry and clinical status were assessed at enrolment and at follow-up to day 180. We examined Receiver Operator Characteristic (ROC) curves of fat and muscle mass indices with 6-month survival as the outcome, and compared the areas under the curve (AUCs) using chi-square tests. Cox survival analysis models assessed time-to-mortality. We included 369 participants. The median age was 15-months (IQR 9, 26), and 59.4% (219/369) of participants were male. The baseline measurements were: median MUAC 15.0 cm (IQR 14.0,16.0); arm-fat-area 5.6cm (IQR 4.7, 6.8); arm-muscle-area 11.4cm (IQR 10.0, 12.7); and arm-muscle-circumference 12.2 cm (IQR 11.5, 12.9). Sixteen (4.3%) participants died and 4 (1.1%) were lost-to-follow-up. The AUC for Arm-Fat-Area was not significantly higher than that for Arm-Muscle-Area and Arm-Muscle-Circumference [AUC 0.77 (95%CI 0.64-0.90) vs. 0.61 (95%CI 0.48-0.74), p = 0.09 and 0.63 (95%CI 0.51-0.75), p = 0.16 respectively], but was not statistically different from MUAC (AUC 0.73 (95%CI 0.62-0.85), p = 0.47). Increase in Arm-Fat-Area and Arm-Muscle-Circumference significantly improved survival [aHR 0.40 (95%CI 0.24-0.64), p = < 0.01 and 0.59 (95%CI 0.36-1.06), p = 0.03 respectively]. Survival prediction using Arm-Fat-Area was not statistically different from that of MUAC (p = 0.54). Muscle mass did not predict 6-month survival better than fat mass in children with severe pneumonia. Fat mass appears to be a better predictor. Effects of fat and muscle could be considered for prognosis and targeted interventions.
PubMed
Cost-effectiveness of an interactive voice response system for improving retention in care and adherence to antiretroviral therapy among young adults in Uganda
(BMC, 2024-09) Naggirinya, Agnes Bwanika; Nuwamanya, Elly; Nabaggala, Maria Sarah; Musinguzi, Francis; Nanungi, Annet; Waiswa, Peter; Rujumba, Joseph; Meya, David B; Parkes-Ratanshi, Rosalind
Abstract Background New interventions aimed at increasing access to and adherence to antiretroviral therapy among young people living with the human immunodeficiency virus (YPLHIV) are needed. This study assessed the cost-effectiveness of the call-for-life interaction voice response tool compared to that of the standard of care (SOC) for promoting treatment adherence and retention in care among YPLHIV in Western Uganda. This cost-effectiveness study used data from a randomized controlled trial and a decision-analytic Markov model to estimate the long-term outcomes and costs of the Call for Life-Interactive Voice Response (CFL-IVR) tool and the usual care from the Ugandan public payer perspective. The model was parameterized using primary data and the literature and adopted a 1-year Markov cycle. The main outcomes were mean annual costs, disability-adjusted life-years (DALYs), and the incremental cost-effectiveness ratio (ICER) in form of cost per DALY averted. The CLF-IVR was deemed cost-effective if the ICER was between 1% and 51% of Uganda’s gross domestic product. We conducted deterministic and probabilistic sensitivity analyses to assess the effect of adjusting parameter values on cost-effectiveness estimates. All costs were reported in 2021 US dollars, and a discount rate of 3% was applied to both costs and outcomes. Results The base case analysis showed that, from the Ugandan public payer perspective, the CLF-IVR led to more mean annual costs ($359 vs. $280) and averted more mean annual DALYs (15.78 vs. 11.09) than the SOC, leading to an ICER of $17 per DALY averted. The base-case results did not change significantly in the deterministic and probabilistic sensitivity analyses. The cost-effectiveness estimates were more responsive to uncertainties surrounding ART duration, viral load suppression rates, and discount rates. Conclusion The CLF-IVR may be a cost-effective intervention for promoting treatment adherence and retention in care among YPLHIV in Uganda and other low-income settings. Once implemented, similar interventions may lead to greater returns in encouraging adherence to ART and retention in care among YPLHIV and other vulnerable groups, and eventually favorable clinical outcomes. Trial registration NCT04718974 Registry: clinical Trials.gov https://ichgcp.net/nl/clinical-trials-registry/NCT04718974 (20 Jan 2021).
Variation and Abundance of Resistant Starch in Selected Banana Cultivars in Uganda
(Cross Ref, 2024-09) Kajubi, Ali; Baingana, Rhona; Matovu, Moses; Katwaza, Ronald; Kubiriba, Jerome; Namanya, Priver
The physiochemical, structural, and molecular characteristics of starch influence its functional properties, thereby dictating its utilization. The study aimed to profile the properties and quantity of resistant starch (RS) from 15 different banana varieties, extracted using a combination of alkaline and enzyme treatments. Granular structure and molecular organization were analyzed using light microscopy, scanning electron microscopy (SEM), and Fourier transform infrared spectroscopy (FTIR). The physiochemical and functional properties were also investigated. RS content ranged from 49% to 80% without significant relationship to amylose (AM) (r = −0.1062). SEM revealed significant microarchitectural differences on the granules potentially affecting granule digestibility. FTIR and chemometrics identified differences in the crystalline peaks, yielding varying degrees of the molecular order of the RS polymers that aid in differentiating the RS sources. Despite similar solubility and swelling profiles, the pasting profiles varied across varieties, indicating high paste stability in hydrothermal processing. Clarity ranged from 43% to 93%, attributed to amylose leaching. This study highlights that RS from bananas varies in quantity, structure, and functionality, necessitating individualized approaches for processing and utilization.
Climate variability and hydrology impacts in east Africa’s Rwenzori Mountains
(Elsevier B.V, 2024-10) Jury, Mark R.
Study region: The eastern flank of the 4 km Rwenzori Mountains and the Mobuku catchment 0.25–0.4 N, 29.85–30.1E are the geographic area for detailed analysis. Research focus: Hydro-climate variability is studied using high resolution satellite- and model- assimilated products in the period 1980–2023. The Mobuku catchment receives rainfall of 3–6 mm/day which generates an eastward discharge of 100 m3/s that declines rapidly downstream, thereby limiting hydro-power availability. New insights: Long-term trends in cloud fraction and potential evaporation reveal a tendency for drying associated with increasing easterly winds, subsidence near the mountain top, and warming of +.04 C/year that is melting glaciers. These constrain runoff on the eastern flank of the Rwenzori Mountains. Low river flows in Dec-Mar correspond with dry air intrusions from the northeast. High river flows in Jul-Nov are modulated by sea temperatures in the Indian Ocean that oscillate east-west at ∼3 year interval. Improved understanding of climate variability will contribute to better management of Uganda’s hydro-power resources.