Arua, Uganda
Arua, Uganda

Muni University is a public multi-campus university in Uganda. It is one of the public universities and degree-awarding institutions in the country. The list includes the following: Makerere University - Founded in 1924 Uganda Management Institute - Founded in 1968 Mbarara University - Founded in 1989 Metropolitan University Business School - Founded in 1997 Kyambogo University - Founded in 2003 Gulu University - Founded in 2002 Busitema University - Founded in 2007 Kigumba Petroleum Institute - Founded in 2009 Muni University - Founded in 2012↑ ↑ Wikipedia.

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News Article | December 27, 2016

FRANKLIN, Tenn., Dec. 27, 2016 (GLOBE NEWSWIRE) -- After kicking off 2016 and celebrating its fifth anniversary by ringing the NASDAQ closing bell, Health eVillages continued to make an impact on global health throughout the year. From funding and opening a new maternity wing at Lwala Community Hospital in Kenya, to adding two community partners in the USA and forging new collaborations with healthcare, human rights and mobile technology organizations, Health eVillages made a difference in the lives of those most in need. Founded in 2011, Health eVillages focuses on enabling safe and efficient medical care in the most challenging clinical environments through mobile healthcare technology. The organization provides mobile medical and training resources to healthcare professionals working in underserved communities in Haiti, East Africa, India and the U.S. and addresses healthcare challenges, including infant and maternal mortality, tropical diseases, preventive healthcare and well-being improvement. “When I look back on 2016, I will remember this as a year in which we made a profound difference in thousands of lives across the globe,” said Donato Tramuto, Healthways CEO and Health eVillages Founder and President. “During a life-changing visit to Kenya, I personally witnessed the impact Health eVillages has made in educating and arming community health workers with mobile technology filled with medical information they use daily to care for pregnant women, infants and children, and how access to this technology and information is saving lives.” Health eVillages launched a collaboration in July with Seed Global Health (Seed) to help overcome critical shortages of health providers and build strong, sustainable health systems by cultivating the next generation of local doctors and nurses. The Health eVillages and Seed collaboration focused on three nursing schools - Muni University and Lira University in Uganda and Phebe Hospital and School of Nursing in Liberia. Health eVillages donated and programed tablets with a unique array of resources to help Seed’s clinical team, the nurse educators, and faculty at the partner institutions address specific educational needs. In addition to serving as an education and training resource for the nurse educators and their colleagues during the next year, the Health eVillages tablets will remain as a resource for the partner academic institutions after the departure of the volunteers. “Health eVillages is an elegant solution to the chronic problem of difficulty getting access to textbooks and reference materials in Liberia. Students and faculty with the Anesthesia Program at the Phebe Paramedical Training Program and School of Nursing in Suakoko, Liberia, are delighted to not only have current texts, but also to be able to quickly and easily search for one topic through all texts at once with the tablet’s Omnio system. The portability of the such a vast array of books make it convenient for faculty to expand on impromptu teaching moments in the operating theater as an opportunity arises.  The apps allow students to watch procedure videos at the point of care for step by step guidance - like a personal tutorial session - and the additional memory capacity allows faculty to customize the tablets to this specific anesthesia program,” said Mary O’Sullivan, Seed volunteer in Liberia. In October, Health eVillages received an extremely generous donation of 200 iPads from PCS Wireless – the first shipment of a remarkable 1,000 iPad commitment. These iPads will help drastically cut the costs of the Health eVillages program and enable it to reach thousands of additional health care providers and the communities they serve around the world. Health eVillages has started deploying these devices, loaded with medical reference materials for training clinicians and educating patients to its partners in East Africa, Haiti and the United States. “After five years of responding to human rights and healthcare needs across the globe, we have learned it takes strong collaborative IQ and viable partnerships to truly make a difference,” said Tramuto. “I would like to thank PCS Wireless for their generous donation of 1,000 tablets. It’s awe-inspiring to know we will be able to save thousands of lives through this technology.” Five health care leaders who have made significant advances in improving access to care across the globe were honored at the Health eVillages Fifth Anniversary Celebration in February in New York City. The 2016 Heal-the-Villages Award winners each exhibited the spirit of Health eVillages through the leadership of significant healthcare initiatives. The 2016 honorees were Alex Gorsky, Patrick J. Kennedy, Wycliffe Omwanda, James Nardella and Jena Lee Nardella. In April, Tramuto and the core Health eVillages team traveled to Kenya to participate in the ribbon cutting for a new maternity wing at the Lwala Community Hospital. Funding for the wing came from dozens of individual donors to Health eVillages, including Tramuto’s own private foundation. The expansion offers increased access to high-quality healthcare throughout the year, including the peak malaria season. It also increases the hospital’s capacity to provide HIV-AIDS enrollment and care, family planning, maternal and child health services, adolescent sexual and reproductive health services, and other services that will contribute to an improved quality of life for the surrounding community. The new wing includes 12 patient beds, two exam rooms for outpatient visits, full separation of the well-child visit area from sick-patient areas, separate men’s and women’s in-patient wards, a pharmacy and new laboratory space with specialized rooms for blood drawing, sterilization and microbiology and a new space for HIV-AIDS counseling. Health eVillages began including the Safe Delivery app on mobile devices provided to clinical health workers who care for pregnant women. The app, developed by the Maternity Foundation, University of Southern Denmark and the University of Copenhagen, provides instructions for health workers attending to complicated deliveries and includes animated video guides on how to address problems such as prolonged labor, hypertension and maternal sepsis. The information is based on the World Health Organization’s clinical guidelines, and health workers using the app have access to a list of common drugs associated with childbirth, with information on recommended dosages and side effects. Healthways, Inc. (NASDAQ:HWAY) and Health eVillages launched an initiative to improve community health in underserved areas in February. The Health eVillages – Healthways Community Outreach Program focused on improving the quality of and access to care in the most challenging clinical environments, both in the U.S. and abroad. The first beneficiary of the Health eVillages – Healthways Community Outreach Program was Mercy Community Healthcare, a non-profit organization that provides quality healthcare to the underserved and uninsured in more than 30 counties in Middle Tennessee. The Foundation for Senior Living (FSL) in Phoenix, Arizona, is the second beneficiary of the Health eVillages – Healthways Community Outreach Program.  FSL exists to improve the quality of life for adults and their caregivers and operates an integrated system of care that allows adults to age in place through their continuum of home and community-based health services. FSL serves more than 10,000 clients throughout Arizona. “I would also like to recognize and thank our existing and new partners, including Seed, Mercy Community Healthcare and the Foundation for Senior Living. In addition, we have exciting programs planned in 2017, including supporting Partners in Compassionate Care in South Sudan. I’m looking forward to the New Year as we continue to ‘heal the villages’ across the globe,” said Tramuto. Health eVillages collaborates to advance healthcare access and improve quality of care by providing state-of-the-art mobile health technology including medical reference and clinical decision-support tools, as well as other resources, to medical professionals in the most challenging clinical environments around the world. Our partners include Robert F. Kennedy Human Rights, Seed Global Health, Global Impact, WelVU, Aptus Health, Healthways, Sharecare and more. You can find more information at and follow us on Twitter, Instagram, and Facebook.

Edemacu K.,Muni University | Bulega T.,Makerere University
Proceedings of 2014 8th International Conference on Telecommunication Systems Services and Applications, TSSA 2014 | Year: 2015

Machine-to-Machine (M2M) communication is becoming a commonly used terminology due to the idea of Internet of Things (IoT). M2M communication has many areas of application, such as in; medical, transport, environmental monitoring, smart grids among others. As the field of its application expands, the number of M2M devices is expected to grow exponentially in the next few years. Long Term Evolution (LTE) has been identified as one of the suitable wireless communication technologies for M2M communication. Incorporating M2M communication on top of regular Human-to-Human (H2H) communication in LTE is a challenging task due to the expected increase in the number of M2M devices coupled with the unique characteristics of M2M traffic. Therefore, the current scheduling and resource allocation techniques among others being used in LTE need to be refined to efficiently accommodate M2M communication. A scheduling scheme called fixed Access Grant Time Interval (AGTI) time-controlled scheduling scheme was proposed for scheduling M2M traffic in LTE. Resource sharing and utilization under this scheme is inefficient due to fixed AGTI assignment which results into fixed nature of resource allocation. In this work, we propose a scheduling scheme called Dynamic AGTI Time-controlled Scheduling Scheme in which the AGTI is dynamically assigned basing on M2M and H2H traffic intensities. We model the proposed scheme using M/G/m/m queuing technique focusing on resource utilization and Quality of Service (QoS) of both M2M and H2H traffic. The analytical results show that, the Dynamic AGTI Time-controlled Scheduling Scheme achieves; better percentage resource utilization as compared to Fixed AGTI Time-controlled Scheduling Scheme while providing optimal blocking probability for both M2M and H2H traffic. However, the monitoring of resource usage and reassignments of AGTI in Dynamic AGTI Time-controlled Scheduling Scheme increases scheduler complexity. © 2014 IEEE.

Dranzoa C.,Muni University | Williams C.,1 Iona Walk | Pomeroy D.,Makerere University
Scopus | Year: 2011

This study concerns birds recorded from four small forests in Uganda, three of them being naturally isolated and the fourth being a fragment of the once extensive forests of southern Uganda. Whilst the forest interior birds in the natural forest islands might be considered subsets of those found in larger forests, the fact that the species composition in the three naturally isolated patches are almost completely different from each other, and in one case appear to have changed with time, suggests a major element of chance in which species occur where. There is also a strong indication of species turnover amongst the forest interior birds in these forests. The fact that, together and over time these small forests supported 37 forest interior species, suggests that, collectively, small forests (of which there are many in Uganda) do have conservation value. The evidence of species turnover with time, if confirmed, would increase the numbers of species involved and implies that even interior species do sometimes travel significant distances across other habitats.

Onyutha C.,Catholic University of Leuven | Onyutha C.,Muni University | Tabari H.,Catholic University of Leuven | Rutkowska A.,Agricultural University of Krakow | And 3 more authors.
Journal of Hydro-Environment Research | Year: 2016

In this study, outputs of three statistical downscaling (SD) methods including the change factor (Delta), simplified (simQP) and advanced (wetQP) quantile-perturbation-based approaches were compared based on daily rainfall series at 9 meteorological stations in the Lake Victoria basin (LVB) in Eastern Africa. The comparison was made considering phase 5 and phase 3 of the Coupled Model Inter-comparison Project, i.e. CMIP5 and CMIP3 respectively. For the CMIP5 (CMIP3) at each station, there were a total of 7 (14) GCMs, 18 (20) daily historical (control) simulations over the period 1961-2000, and 35 (49) daily future projection series of the periods 2050s and 2090s. The ensemble mean of the GCMs' Bias in reproducing rainfall extremes for return periods in the range of 1 to 40 years for the CMIP5 (CMIP3) varied from -19.05% to 3.11% (-65.85% to -4.86%). For the high greenhouse gas scenario rcp8.5 (A2) of the CMIP5 (CMIP3), the ensemble mean of the projected changes over the LVB in the 10-year rainfall intensity quantile obtained from the Delta, simQP, wetQP SD goes up to 5.8, 10 and 22.4% (11.7, 15.9 and 43.6%) in the 2050s and 8, 11.4, and 25.4% (14.2, 23.3 and 40.6%) in the 2090s. Rainfall totals of the main wet (dry) season are generally projected to increase (decrease) in both the 2050s and 2090s. Because the outputs from the three SD methods captured well the pattern of monthly rainfall totals, the difference between the projected changes of seasonal or annual rainfall totals from the Delta, simQP and wetQP was shown to be insignificant. However, the differences in the results from the Delta, simQP and wetQP methods with respect to the projections of rainfall quantiles indicate that the choice of the SD method can be made on a case by case basis in line with the objectives of the climate change impact study, e.g. the Delta does not capture well the changes in rainfall extremes, whereas the wetQP is suitable for both rainfall extremes and rainfall totals at both seasonal and annual time scales. The findings of this study also show the need to consider evaluations of the inter-GCM differences in the LVB as a data scarce region in assessing the discernible impact of climate change on rainfall extremes and/totals for decision making related to water resources management and engineering. © 2016 International Association for Hydro-environment Engineering and Research, Asia Pacific Division.

Five hydrological models were applied based on data from the Blue Nile Basin. Optimal parameters of each model were obtained by automatic calibration. Model performance was tested under both moderate and extreme flow conditions. Extreme events for the model performance evaluation were extracted based on seven criteria. Apart from graphical techniques, there were nine statistical "goodness-of-fit" metrics used to judge the model performance. It was found that whereas the influence of model selection may be minimal in the simulation of normal flow events, it can lead to large under- and/or overestimations of extreme events. Besides, the selection of the best model for extreme events may be influenced by the choice of the statistical "goodness-of-fit" measures as well as the criteria for extraction of high and low flows. It was noted that the use of overall water-balance-based objective function not only is suitable for moderate flow conditions but also influences the models to perform better for high flows than low flows. Thus, the choice of a particular model is recommended to be made on a case by case basis with respect to the objectives of the modeling as well as the results from evaluation of the intermodel differences. © 2016 Charles Onyutha.

Variability analyses for the rainfall over the Nile Basin have been confined mostly to sub-basins and the annual mean of the hydroclimatic variable based on observed short-Term data from a few meteorological stations. In this paper, long-Term country-wide rainfall over the period 1901-2011 was used to assess variability in the seasonal and annual rainfall volumes in all the River Nile countries in Africa. Temporal variability was determined through temporal aggregation of series rescaled nonparametrically in terms of the difference between the exceedance and non-exceedance counts of data points such that the long-Term average (taken as the reference) was zero. The co-occurrence of the variability of rainfall with those of the large-scale ocean-atmosphere interactions was analyzed. Between 2000 and 2012, while the rainfall in the equatorial region was increasing, that for the countries in the northern part of the River Nile was below the reference. Generally, the variability in the rainfall of the countries in the equatorial (northern) part of the River Nile was found to be significantly linked to occurrences in the Indian and Atlantic (Pacific and Atlantic) Oceans. Significant linkages to Niño 4 regarding the variability of both the seasonal and annual rainfall of some countries were also evident. © IWA Publishing 2016.

Onyutha C.,Muni University
Stochastic Environmental Research and Risk Assessment | Year: 2016

In hydro-meteorological trend analysis, an alteration in the given variable is detected by considering the long-term series as a whole. Whereas the long-term trend may be absent, the significance of hidden (short-durational) sub-trends in the series may be important for environmental management practices. In this paper, a graphical approach of identifying trend or sub-trends using nonparametric cumulative rank difference (CRD) was proposed. To confirm the significance of the visualized trend, the CRD was translated from the graphical to a statistical metric. To assess its capability, the performance of the CRD method was compared with that of the well-known Mann–Kendall (MK) test. The graphical and statistical CRD techniques were applied to detect trends and sub-trends in the annual rainfall of 10 River Nile riparian countries (RNRCs). The co-occurrence of the trend evolutions in the rainfall with those of the large-scale ocean–atmosphere interactions was analyzed. The power of the CRD method was shown to closely agree with that of the MK test under the various circumstances of sample sizes, variations, linear trend slopes, and serial correlations. At the level of significance α = 5 %, the long-term trends were found present in 30 % of the RNRCs. However at α = 5 %, the main downward (upward) sub-trends were found significant in 30 (60 %) of the RNRCs. Generally at α = 1 %, linkages of the trend evolutions in the rainfall of the RNRCs were found to those of the influences from the Atlantic and Indian Oceans. At α = 5 %, influences from the Pacific Ocean on the rainfall trends of some countries were also evident. © 2015, Springer-Verlag Berlin Heidelberg.

Onyutha C.,Catholic University of Leuven | Onyutha C.,Muni University | Willems P.,Catholic University of Leuven | Willems P.,Vrije Universiteit Brussel
Hydrology and Earth System Sciences | Year: 2015

Spatiotemporal variability in annual and seasonal rainfall totals were assessed at 37 locations of the Nile Basin in Africa using quantile perturbation method (QPM). To get insight into the spatial difference in rainfall statistics, the stations were grouped based on the pattern of the long-term mean (LTM) of monthly rainfall and that of temporal variability. To find the origin of the driving forces for the temporal variability in rainfall, correlation analyses were carried out using global monthly sea level pressure (SLP) and sea surface temperature (SST). Further investigations to support the obtained correlations were made using a total of 10 climate indices. It was possible to obtain three groups of stations; those within the equatorial region (A), Sudan and Ethiopia (B), and Egypt (C). For group A, annual rainfall was found to be below (above) the reference during the late 1940s to 1950s (1960s to mid-1980s). Conversely for groups B and C, the period from 1930s to late 1950s (1960s to 1980s) was characterized by anomalies being above (below) the reference. For group A, significant linkages were found to Niño 3, Niño 3.4, and the North Atlantic Ocean and Indian Ocean drivers. Correlations of annual rainfall of group A with Pacific Ocean-related climate indices were inconclusive. With respect to the main wet seasons, the June-September rainfall of group B has strong connection to the influence from the Indian Ocean. For the March-May (October-February) rainfall of group A (C), possible links to the Atlantic and Indian oceans were found. © Author(s) 2015.

Onyutha C.,Catholic University of Leuven | Onyutha C.,Muni University | Tabari H.,Catholic University of Leuven | Taye M.T.,University of Wisconsin - Madison | And 2 more authors.
Journal of Hydro-Environment Research | Year: 2015

Trends in rainfall at 39 locations of the Nile River Basin (NRB) in Africa were analyzed. Comparison was made between rainfall trend results from the long-term data and those of short-term series selected over different time periods. The bias on trend results from series of short-term records was quantified. Homogeneity test was conducted to assess the coherence of the trend directions on a regional basis. Based on an assumed population (for simplicity) of rainfall data time periods in the range 75-100 years, bias in the short-term trend analysis was noted to reduce by about 10% for every 10% increase in record length. Under some conditions if respected, it was possible to derive trends at stations with short rainfall records based on those at nearby stations with longer term records but in the same region. Using the same data record length and uniform time period at all the selected stations, an improved regional coherence of rainfall trend results was obtained. In the equatorial region, trend in annual rainfall was found mainly positive and significant at level α = 5% in 4 of the 7 stations. Collectively for Sudan, Ethiopia and Egypt, trends in the annual rainfall were mostly negative and significant at α = 5% in 69% of the 32 stations. Heterogeneity in the trend directions for the entire NRB was confirmed at α = 1% in 13% of the 39 stations. These findings are vital for water and agricultural management practices. © 2015 International Association for Hydro-environment Engineering and Research, Asia Pacific Division.

Changes in potential evapotranspiration (PET) in the Nile Basin tend to be analyzed mostly based on short-term remotely sensed annual data. In this study, long-term country-wide series from 1930 to 2012 were used to assess changes in annual and seasonal PET in all the Nile River Riparian Countries (NRRCs). Variability was investigated using the nonparametric anomaly indicator method. Trend was assessed both graphically and statistically using the cumulative rank difference method. The PET totals from 1930s to 1970s (from around 1980 to early 2000s) were generally below (above) the mean of the long-term data. Moreover, for this period from around 1980 to early 2000s, both annual and seasonal PET totals in most of the NRRCs were characterized by an increase significant at 5% level. This increase in the PET influenced the long-term trend based on the full time series from 1930 to 2012 towards positive direction. For instance, the long-term annual PET exhibited increasing trend significant at 5% level in 2 of the 6 countries in the equatorial region. However, the positive trends in the PET of Sudan, Ethiopia, Eritrea and Egypt were insignificant at 5% level. It was found that the temporal changes in PET especially during rainy seasons can be explained at the significance level of 5% by the rainfall variation. Sampling uncertainties on the PET trend magnitudes are quantified and provided. The findings in this study are important for determining the crop water requirements especially in arid conditions where rainfall is unreliable and low in volume. © 2016 Elsevier B.V.

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