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- Oriangi, George, et al.
(författare)
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Household resilience to climate change hazards in Uganda
- 2020
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Ingår i: International Journal of Climate Change Strategies and Management. - : EMERALD GROUP PUBLISHING LTD. - 1756-8692 .- 1756-8706. ; 12:1, s. 59-73
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Tidskriftsartikel (refereegranskat)abstract
- Purpose As climate change shocks and stresses increasingly affect urban areas in developing countries, resilience is imperative for the purposes of preparation, recovery and adaptation. This study aims to investigate demographic characteristics and social networks that influence the household capacity to prepare, recover and adapt when faced with prolonged droughts or erratic rainfall events in Mbale municipality in Eastern Uganda. Design/methodology/approach A cross-sectional research design was used to elicit subjective opinions. Previous studies indicate the importance of subjective approaches for measuring social resilience but their use has not been well explored in the context of quantifying urban resilience to climate change shocks and stresses. This study uses 389 structured household interviews to capture demographic characteristics, social networks and resilience capacities. Descriptive and inferential statistics were used for analysis. Findings The ability of low-income households to meet their daily expenditure needs, household size, and networks with relatives and non government organizations (NGOs) were significant determinants of preparedness, recovery and adaptation to prolonged droughts or erratic rainfall events. Originality/value Even the low-income households are substantially more likely to prepare for and recover from prolonged droughts or erratic rainfall events if they can meet their daily expenditure needs. This finding is noteworthy because the poorest in society are generally the most vulnerable to hazards.
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| 2. |
- Oriangi, George, et al.
(författare)
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Perceptions of resilience to climate-induced disasters in Mbale municipality in Uganda
- 2021
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Ingår i: Environmental Hazards. - : Taylor & Francis. - 1747-7891 .- 1878-0059. ; 20:2, s. 116-131
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Tidskriftsartikel (refereegranskat)abstract
- Resilience has been raised as a core task within disaster risk reduction frameworks, yet it remains difficult to implement these global ideas in local communities. This study used Community Based Resilience Analysis Approach to investigate the components that are perceived as important in resilience and the extent to which these components have been achieved. It explored the trend of resilience and beneficial interventions for building resilience as perceived by interviewed participants in Mbale Municipality in Eastern Uganda. The study results indicate that access to education, healthcare, employment, peace and security were the most important components of resilience. Respondents perceived to have progressed in accessing credit, building productive farms and sustaining peace and security by July 2017. However, they assessed a lack of diverse income-generating activities, access to insurance, food security, employment and health care. Moreover, the study showed that respondents from marginalised parts of the municipality experienced decreasing resilience while respondents in other divisions had increased resilience. These results provide context-specific components of resilience by the local people. This can inform the formulation of resilience indices and bear relevance for policy-makers and practitioners to understand areas to invest more resources to achieve resilience.
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| 4. |
- Semakula, Henry Musoke, et al.
(författare)
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Prediction of future malaria hotspots under climate change in sub-Saharan Africa
- 2017
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Ingår i: Climatic Change. - : Springer Science and Business Media LLC. - 0165-0009 .- 1573-1480. ; 143:3-4, s. 415-428
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Tidskriftsartikel (refereegranskat)abstract
- Malaria is a climate sensitive disease that is causing rampant deaths in sub-Saharan Africa (SSA) and its impact is expected to worsen under climate change. Thus, pre-emptive policies for future malaria control require projections based on integrated models that can accommodate complex interactions of both climatic and non-climatic factors that define malaria landscape. In this paper, we combined Geographical Information System (GIS) and Bayesian belief networks (BBN) to generate GIS-BBN models that predicted malaria hotspots in 2030, 2050 and 2100 under representative concentration pathways (RCPs) 4.5 and 8.5. We used malaria data of children of SSA, gridded environmental and social-economic data together with projected climate data from the 21 Coupled Model Inter-comparison Project Phase 5 models to compile the GIS-BBN models. Our model on which projections were made has an accuracy of 80.65% to predict the high, medium, low and no malaria prevalence categories correctly. The non-spatial BBN model projection shows a moderate variation in malaria reduction for the high prevalence category among RCPs. Under the low prevalence category, an increase in malaria is seen but with little variation ranging between 4.6 and 5.6 percentage points. Spatially, under RCP 4.5, most parts of SSA will have medium malaria prevalence in 2030, while under RCP 8.5, most parts will have no malaria except in the highlands. Our BBN-GIS models show an overall shift of malaria hotspots from West Africa to the eastern and southern parts of Africa especially under RCP 8.5. RCP 8.5 will not expand the high and medium malaria prevalence categories in all the projection years. The generated probabilistic maps highlight future malaria hotspots under climate change on which pre-emptive policies can be based.
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