Nuclear Energy & Energy Transitions: Prospects, Challenges and Safeguards in Sub-Saharan Africa

Author(s):  
Susan Nakanwagi
Author(s):  
Douglas Logedi Luhangala ◽  
Amollo Ambole ◽  
Josephine Kaviti Musango ◽  
Fabrizio Ceschin ◽  
Simeon Otieno Dulo

Abstract The energy market in Sub-Saharan Africa (SSA) is not meeting the demands of the region’s growing population. Energy access remains a significant challenge, with most people on the continent still reliant on biomass and other traditional forms of energy. Paradoxically, research has found that the African continent has the highest potential for renewable energy generation. For this energy to be commercialized effectively, there is a need to understand energy price modelling in the SSA context. Our initial review of Literature showed that energy price modelling has received little attention in SSA. This paper, therefore, fills this gap by using a systematic literature review to consolidate knowledge on how energy price modelling has been applied in the SSA context. The systematic literature review results reveal four commonly used models: time series, Artificial Neural Network, Hybrid Iterative Reactive Adaptive (HIRA), and Hybrid models. Across the 46 SSA countries, governments have applied these models to price electricity and petroleum at the national level. However, these models have not been applied to renewable energy markets. Neither have they been applied at the household level. In the discussion, we hypothesize that price modelling can be used at the household level to improve energy decision-making. For this to work, price modelling should be simplified, user-friendly, and accessible to households. In conclusion, we recommend that SSA governments develop a more holistic view of energy price modelling to better harness the potential of renewables. They can do this through effective stakeholder engagement that includes the needs of small businesses and households. The main lessons drawn from this review include the possibility of using energy price modelling technology as a pathway to encouraging energy transitions to renewable energy in informal settlements in Africa. Using technology to bring the price modelling closer to the people is also an important element in facilitating effective transition to renewable energy. Finally, including the members of the community in pricing through creation of awareness on the models used and popularizing technology that can help in predictive pricing will help in creating better and faster energy transitions.


2017 ◽  
Vol 1 (6) ◽  
pp. 533-537
Author(s):  
Lorenz von Seidlein ◽  
Borimas Hanboonkunupakarn ◽  
Podjanee Jittmala ◽  
Sasithon Pukrittayakamee

RTS,S/AS01 is the most advanced vaccine to prevent malaria. It is safe and moderately effective. A large pivotal phase III trial in over 15 000 young children in sub-Saharan Africa completed in 2014 showed that the vaccine could protect around one-third of children (aged 5–17 months) and one-fourth of infants (aged 6–12 weeks) from uncomplicated falciparum malaria. The European Medicines Agency approved licensing and programmatic roll-out of the RTSS vaccine in malaria endemic countries in sub-Saharan Africa. WHO is planning further studies in a large Malaria Vaccine Implementation Programme, in more than 400 000 young African children. With the changing malaria epidemiology in Africa resulting in older children at risk, alternative modes of employment are under evaluation, for example the use of RTS,S/AS01 in older children as part of seasonal malaria prophylaxis. Another strategy is combining mass drug administrations with mass vaccine campaigns for all age groups in regional malaria elimination campaigns. A phase II trial is ongoing to evaluate the safety and immunogenicity of the RTSS in combination with antimalarial drugs in Thailand. Such novel approaches aim to extract the maximum benefit from the well-documented, short-lasting protective efficacy of RTS,S/AS01.


1993 ◽  
Vol 47 (3) ◽  
pp. 555-556
Author(s):  
Lado Ruzicka

1987 ◽  
Vol 87 (1) ◽  
pp. 118-142

Crisis ◽  
2011 ◽  
Vol 32 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Eugene Kinyanda ◽  
Ruth Kizza ◽  
Jonathan Levin ◽  
Sheila Ndyanabangi ◽  
Catherine Abbo

Background: Suicidal behavior in adolescence is a public health concern and has serious consequences for adolescents and their families. There is, however, a paucity of data on this subject from sub-Saharan Africa, hence the need for this study. Aims: A cross-sectional multistage survey to investigate adolescent suicidality among other things was undertaken in rural northeastern Uganda. Methods: A structured protocol administered by trained psychiatric nurses collected information on sociodemographics, mental disorders (DSM-IV criteria), and psychological and psychosocial risk factors for children aged 3–19 years (N = 1492). For the purposes of this paper, an analysis of a subsample of adolescents (aged 10–19 years; n = 897) was undertaken. Results: Lifetime suicidality in this study was 6.1% (95% CI, 4.6%–7.9%). Conclusions: Factors significantly associated with suicidality included mental disorder, the ecological factor district of residence, factors suggestive of low socioeconomic status, and disadvantaged childhood experiences.


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