Use of multi-criteria decision analysis integrated with GIS and air pollution model inputs for schools site selection.

Masters Degrees (Civil Engineering). University of KwaZulu-Natal. Durban, 2019.Schools site selection is an essential process which needs knowledge of different fields. The process involves scientific justification, judgment and a finding of suitable land, which consider financial, social, ecological and political perspectives, that limit conflicts and supports agreement among the decision makers. Lack of scientific analysis may negatively impact on the economy, health, and safety of the public. However, reports revealed that finding of school location managed without utilization of scientific analysis thus prompted the development of schools in unsuitable areas and caused pupils to face several problems such as long walking distance, heavy traffic, presentation to sound and air pollution (Bukhari et al., 2010). Addis Ababa is the largest city in Ethiopia, and the city needs additional schools to meet the minimum pupil section ratio as per the national standard to improve education excellence (CGAAEB, 2018). Currently, most of the existing schools placed in the central part of the city; thus such scientific analysis is vital to give insight for the decision makers and planners to improve the site selection process for new schools, to provide a fair distribution of education access and utilizing a limited available resource. Nowadays, the application of GIS and Remote sensing datasets widely used to support the site selection process. In this study GIS integrated with MCDA and Remote Sensing, techniques have been used to select suitable school locations. MCDA is a tool that devoted to improving the decision-making process using various qualitative and quantitative criteria goals or objectives of a contradictory nature. This study attempts to use an air pollution model integrated with Remote Sensing, Geographical Information System (GIS) for Multi-Criteria Decision Analysis (MCDA) to identify optimal sites for new schools. The MCDA was done using Analytical hierarchy process (AHP), which classify criterions in hierarchical level and assigns a relative weight to each criteria using pairwise comparison. The selected criteria in this study decompose into three main groups, namely Economy, Accessibility, and Environmental Safety. Besides, Landsat 8 OLI/TRIS satellite image was used to quantify the annual mean concentration of Particulate matter with diameter 10 μm (PM10) for Environmental safety criteria. Subsequently, using Weight overlay tool, the criteria maps combined based on their relative influence, which is obtained from AHP to produce the final map, and the map reclassified as not suitable, less suitable, suitable and most suitable, using Arc GIS 10.4 reclassify tool. The resulting map of the annual mean concentration of PM10 shows that the concentration amounts on airports, factories, and road structures are high. The criteria weights obtained are 54%, 30% and 16% for Economy, Environmental Safety, and Accessibility respectively. The ultimate suitability map shows that 3.89% of the study area is most suitable, 57.47% is suitable, 38.48% is less suitable, and 0.08% is unsuitable, the most suitable areas laid on the city’s north-east and south-east part, which are away from existing schools. Therefore, this study successfully suitability model has been used to allocate an optimal place for new schools to be built in Addis Ababa capital using GIS integrated MCDA with Air pollution model input

Application of multi-criteria decision analysis integrated with GIS and air pollution model inputs for schools site selection.

Master’s Degree. University of KwaZulu-Natal, Durban.Schools site selection is an essential process which needs knowledge of different fields. The process involves scientific justification, judgment and a finding of suitable land, which consider financial, social, ecological and political perspectives, that limit conflicts and supports agreement among the decision makers. Lack of scientific analysis may negatively impact on the economy, health, and safety of the public. However, reports revealed that finding of school location managed without utilization of scientific analysis thus prompted the development of schools in unsuitable areas and caused pupils to face several problems such as long walking distance, heavy traffic, presentation to sound and air pollution (Bukhari et al., 2010). Addis Ababa is the largest city in Ethiopia, and the city needs additional schools to meet the minimum pupil section ratio as per the national standard to improve education excellence (CGAAEB, 2018). Currently, most of the existing schools placed in the central part of the city; thus such scientific analysis is vital to give insight for the decision makers and planners to improve the site selection process for new schools, to provide a fair distribution of education access and utilizing a limited available resource. Nowadays, the application of GIS and Remote sensing datasets widely used to support the site selection process. In this study GIS integrated with MCDA and Remote Sensing, techniques have been used to select suitable school locations. MCDA is a tool that devoted to improving the decision-making process using various qualitative and quantitative criteria goals or objectives of a contradictory nature. This study attempts to use an air pollution model integrated with Remote Sensing, Geographical Information System (GIS) for Multi-Criteria Decision Analysis (MCDA) to identify optimal sites for new schools. The MCDA was done using Analytical hierarchy process (AHP), which classify criterions in hierarchical level and assigns a relative weight to each criteria using pairwise comparison. The selected criteria in this study decompose into three main groups, namely Economy, Accessibility, and Environmental Safety. Besides, Landsat 8 OLI/TRIS satellite image was used to quantify the annual mean concentration of Particulate matter with diameter 10 μm (PM10) for Environmental safety criteria. Subsequently, using Weight overlay tool, the criteria maps combined based on their relative influence, which is obtained from AHP to produce the final map, and the map reclassified as not suitable, less suitable, suitable and most suitable, using Arc GIS 10.4 reclassify tool. The resulting map of the annual mean concentration of PM10 shows that the concentration amounts on airports, factories, and road structures are high. The criteria weights obtained are 54%, 30% and 16% for Economy, Environmental Safety, and Accessibility respectively. The ultimate suitability map shows that 3.89% of the study area is most suitable, 57.47% is suitable, 38.48% is less suitable, and 0.08% is unsuitable, the most suitable areas laid on the city’s north-east and south-east part, which are away from existing schools. Therefore, this study successfully suitability model has been used to allocate an optimal place for new schools to be built in Addis Ababa capital using GIS integrated MCDA with Air pollution model input

Sociodemographic Factors Predicting Exclusive Breastfeeding in Ethiopia:Evidence from a Meta-analysis of Studies Conducted in the Past 10 Years

OBJECTIVES: To investigate the association between EBF and educational status, household income, marital status, media exposure, and parity in Ethiopia.METHODS: PubMed, EMBASE, Web of Science, SCOPUS, CINAHL and WHO Global health library databases were searched using key terms for all studies published in English between September 2009 and March 2019. The methodological quality of studies was examined using the Newcastle-Ottawa Scale (NOS) for cross-sectional studies. To obtain the pooled odds ratio (OR), extracted data were fitted in a random-effects meta-analysis model. Statistical heterogeneity was quantified using Cochran's Q test, τ2, and I2 statistics. In addition, Jackknife sensitivity analysis, cumulative meta-analysis, and meta-regression analysis were conducted.RESULTS: Out of 553 studies retrieved, 31 studies fulfilled our inclusion criteria. Almost all included studies were conducted among mothers with newborn less than 23 months old. Maternal primary school education (OR 1.39; 95% CI 1.03-1.89; I2 = 86.11%), medium household income (OR 1.27; 95% CI 1.05-1.55; I2 = 60.9%) and being married (OR 1.39; 95% CI 1.05-1.83; I2 = 76.96%) were found to be significantly associated with EBF. We also observed an inverse dose-response relationship of EBF with educational status and income. However, EBF was not significantly associated with parity, media exposure, and paternal educational status.CONCLUSIONS: In this meta-analysis, we showed the relevant effect of maternal education, income, and marital status on EBF. Therefore, multifaceted, effective, and evidence-based efforts are needed to increase the national level of exclusive breastfeeding in Ethiopia.</p

Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-Adjusted life-years for 29 cancer groups, 1990 to 2017 : A systematic analysis for the global burden of disease study

Importance: Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective: To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review: We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-Adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings: In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572000 deaths and 15.2 million DALYs), and stomach cancer (542000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601000 deaths and 17.4 million DALYs), TBL cancer (596000 deaths and 12.6 million DALYs), and colorectal cancer (414000 deaths and 8.3 million DALYs). Conclusions and Relevance: The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care. © 2019 American Medical Association. All rights reserved.Peer reviewe

“Where does it go?”: Perceptions and problems of riverine and marine litter amongst South Africa and Malawi’s urban poor

With the world’s oceans in crisis, citizen knowledge and awareness around riverine and marine waste has become an increasingly crucial topic of study. For most investigations, spatial analysis has centered on the coastline, or most specifically the beach, i.e., the space where most respondents (urban, Northern, middle class), encounter marine litter. Yet, by focusing on the beach as the primary space of analysis, most studies have severely limited the scope of citizens they can engage, because in many African cities it is a space of exclusion. Moreover, for individuals further upstream, in spaces distant from the coast, what are their understandings of riverine and marine litter? What is their knowledge of the hydrological systems standing between them and the sea, and how do they see their ability to influence them? Drawing on extensive qualitative fieldwork in low-income, riverine adjacent communities in Durban, South Africa, and Blantyre, Malawi, the purpose of this article is to understand how Africa’s urban poor experience and understand riverine and marine litter. The study utilises Foucault’s notion of problematisations, and more recent adaptations of Foucault’s work toward waste as a lens to conceptualise processes of problem formation: how individual respondents view riverine and marine litter as a problem. Findings suggest that problematisations around waste, in the community and in the hydrological system, are formed through daily experience and personal hardship; in the case of Blantyre, through the perceived impact waste can have on hydroelectricity generation, and in Johanna Road, by its contribution to flooding within the community. However, understandings of the marine environment and respondents’ impact on the hydrological system, remain limited. Recommendations include rooting education and messaging around riverine and marine litter within low-income individuals’ lived realities. However, any interventions targeted towards the poor must be accompanied by broader systemic change: improving access to solid waste management services and creating cleaner and more equitable communities.ISSN:2767-321