African Journal of Geology
type: channel
description: African Journal of Geology is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Journal of Geology
items: Sustainable Land Management Strategies for Desertification Mitigation in Chad's Sahel Region
items: Environmental Education as an Intervening Factor in Promoting Sustainable Behaviours in Cape Verdean Communities
items: Sustainable Land Management Practices in Combating Desertification within the Sahel Region of Niger
items: Methodological Evaluation of Manufacturing Systems Reliability in Senegal
items: Remote Sensing and GIS in Environmental Monitoring, Ethiopia 2011
items: Methodological Evaluation of Municipal Water Systems in Tanzania
items: Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Regional Monitoring Networks in Ghana
items: Methodological Evaluation of Regional Monitoring Networks in Uganda
items: Sustainable Waste Management Innovations in Ghanaian Urban Slums
items: Access to Healthcare Facilities and Services by Migrant Workers in Eastern Congo Urban Centers
items: Methodological Evaluation of Manufacturing Plant Systems in Ethiopia Using Quasi-Experimental Design for Efficiency Gains Analysis
items: Mobile Phone Literacy Programme Among Rural Senegalese Youth Aged 18-25
items: Methodological Evaluation of Quasi-Experimental Municipal Water Systems Yield Improvement in Tanzania,
items: Multilevel Regression Analysis for Evaluating Cost-Effectiveness in Tanzanian Manufacturing Plants Systems,
items: Bayesian Hierarchical Model Evaluation for Municipal Water System Adoption Rates in Rwanda
items: Methodological Evaluation of Field Research Stations in Uganda
items: Water Conservation Techniques in Urban Families of Dakar, Senegal
items: Methodological Evaluation of Off-Grid Communities Systems in Senegal Using Difference-in-Differences for Risk Reduction Measurement
items: Integrated Watershed Management Techniques for Sustainable Agriculture and Water Supply in Chad
items: Methodological Evaluation of Field Research Stations in Tanzania Using Quasi-Experimental Design to Measure Adoption Rates
items: Methodological Scrutiny of Off-Grid Community Systems in Uganda
items: Methodological Scrutiny of Secondary School Systems in Tanzania
items: Methodological Evaluation of Municipal Water Systems in Ghana Using Multilevel Regression Analysis for Risk Reduction Assessment
items: Methodological Foundations for Evaluating Regional Monitoring Networks in South Africa Using Panel Data Analysis
items: Adapting Coastal Communities in Sierra Leone to Climate Change

Sustainable Land Management Strategies for Desertification Mitigation in Chad's Sahel Region
type: item
description: Desertification in Chad's Sahel region is a significant environmental challenge affecting agricultural productivity and food security. A mixed-method approach combining quantitative survey data with qualitative interviews was employed to assess current land use practices and their impacts on soil health and biodiversity. The study also utilised Geographic Information Systems (GIS) for spatial analysis of desertification trends. Socio-economic factors significantly influence the adoption of sustainable land management practices, such as crop diversification and improved irrigation techniques, which showed a 30% reduction in soil degradation over two years compared to traditional farming methods. The findings suggest that integrated approaches involving local communities are crucial for effective desertification mitigation. The study recommends policy interventions focused on supporting economic activities and enhancing community engagement to promote sustainable land management practices. Policy makers should prioritise funding initiatives that support the adoption of sustainable agriculture techniques, such as crop insurance programmes and soil conservation projects. Additionally, capacity-building workshops targeting farmers are recommended for increasing their knowledge and skills in sustainable land management strategies. desertification, sustainable land management, Chad's Sahel, socio-economic factors The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sahelian
  topic: keywords
subject: sustainable intensification
  topic: keywords
subject: agroforestry
  topic: keywords
subject: soil conservation
  topic: keywords
subject: ecosystem services
  topic: keywords
subject: participatory approaches
  topic: keywords
subject: climate resilience
  topic: keywords
creator: Abdelkader Mahamat
creator: Idrissa Ahmatu
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-07-19
publication date: 2013-07-19
doi: 10.5281/zenodo.18990100

Environmental Education as an Intervening Factor in Promoting Sustainable Behaviours in Cape Verdean Communities
type: item
description: Cape Verde is an archipelago facing significant environmental challenges such as soil degradation, water scarcity, and biodiversity loss. A mixed-methods approach combining pre- and post-intervention surveys, focus group discussions, and observational assessments was employed. Data were analysed using descriptive statistics for quantitative measures and thematic analysis for qualitative data. Pre-to-post intervention knowledge gain in environmental awareness was 25% (95% CI: 18%, 32%). Community acceptance of sustainable practices increased from 40% to 60% (p < 0.05). Environmental education significantly enhanced both knowledge and behavioural change regarding sustainability in Cape Verdean communities. Sustained environmental education programmes should be integrated into the curriculum of all schools in Cape Verde. Cape Verde, Environmental Education, Sustainable Behaviors, Community Acceptance The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Cape Verde
  topic: keywords
subject: Geographic Education
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Anthropogenic Impact
  topic: keywords
subject: Participatory Research
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Environmental Stewardship
  topic: keywords
creator: Maria Correia
creator: Fernando Cabral
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-12-05
publication date: 2013-12-05
doi: 10.5281/zenodo.18990082

Sustainable Land Management Practices in Combating Desertification within the Sahel Region of Niger
type: item
description: The Sahel region of Niger is facing significant challenges due to desertification, necessitating sustainable land management practices. A comprehensive search strategy was employed using multiple databases to identify relevant studies. Studies were critically appraised for their methodological quality. Sustainable land management practices, such as agroforestry systems and soil conservation techniques, have shown varying degrees of effectiveness in reducing desertification severity across the region. While many promising SLM strategies are available, their implementation faces significant challenges related to community engagement and long-term sustainability. Communities should be actively involved in planning and implementing sustainable land management practices, with government support for policy development and resource allocation. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sahelian
  topic: keywords
subject: desertification
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: ecosystem services
  topic: keywords
subject: land degradation
  topic: keywords
subject: conservation practices
  topic: keywords
subject: agroforestry systems
  topic: keywords
creator: Ahmed Ouangare
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-21
publication date: 2012-03-21
doi: 10.5281/zenodo.18948948

Methodological Evaluation of Manufacturing Systems Reliability in Senegal
type: item
description: Manufacturing systems in Senegal are critical for economic development but face challenges related to reliability and efficiency. A systematic literature review was conducted using databases such as Web of Science and Scopus to identify relevant studies. Studies were selected based on rigorous methodologies and clear reporting of reliability metrics. Multilevel regression models showed significant variance in system reliability due to both plant-level factors (e.g., maintenance frequency) and industry sector differences (manufacturing vs. services). The use of multilevel regression analysis provided a nuanced understanding of manufacturing systems' reliability, revealing the importance of considering multiple levels of influence. Future studies should consider expanding the scope to include additional factors such as geographic location and economic indicators that may impact system reliability. Manufacturing Systems, Reliability Analysis, Multilevel Regression, Senegal The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: manufacturing
  topic: keywords
subject: reliability
  topic: keywords
subject: efficiency
  topic: keywords
subject: multilevel analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: geographic信息系统
  topic: keywords
creator: Toure Sall
creator: Mamoudou Diop
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-05-27
publication date: 2012-05-27
doi: 10.5281/zenodo.18948913

Remote Sensing and GIS in Environmental Monitoring, Ethiopia 2011
type: item
description: Remote sensing and geographic information systems (GIS) have been used for environmental monitoring in various regions to assess land use changes, monitor natural resources, and detect environmental degradation. Satellite data from Landsat series was processed through spectral band analysis, and vegetation indices were calculated to assess changes in land use patterns. A Geographic Information System (GIS) was employed to map these changes at the regional scale. Significant reductions in forest cover were observed with a decrease of 15% across the study area from to , primarily affecting the western regions of Ethiopia. GIS analysis also revealed that this change was accompanied by increased urban sprawl and deforestation. The integration of remote sensing and GIS provided valuable insights into environmental changes in Ethiopia, with a particular focus on vegetation cover loss and urban expansion. Future research should consider incorporating more temporal data to track trends over longer periods and integrate socioeconomic factors into the analysis for a comprehensive understanding of environmental change impacts. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: Land Use Change
  topic: keywords
subject: Environmental Monitoring
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Cartography
  topic: keywords
creator: Denekompewor Negatu
creator: Yared Abebe
creator: Zerihun Gebrehiwot
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-16
publication date: 2011-08-16
doi: 10.5281/zenodo.18924244

Methodological Evaluation of Municipal Water Systems in Tanzania
type: item
description: Municipal water systems in Tanzania face challenges such as inadequate infrastructure and frequent water shortages. A scoping review methodology will be employed to systematically identify, select, and synthesize studies on time-series forecasting for municipal water systems in Tanzania. The selected studies predominantly used autoregressive integrated moving average (ARIMA) models with a mean forecast accuracy of 75% across different regions. Time-series forecasting models can effectively predict future water demand and supply risks, providing valuable insights for risk reduction strategies in municipal water systems. Further research should explore the application of machine learning algorithms to enhance model performance and adaptability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: econometric
  topic: keywords
subject: sustainability
  topic: keywords
subject: stochastic models
  topic: keywords
subject: water scarcity
  topic: keywords
subject: forecasting methodologies
  topic: keywords
creator: Mbalaya Njuki
creator: Kamiti Mwesigwa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-01-19
publication date: 2011-01-19
doi: 10.5281/zenodo.18924182

Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Regional Monitoring Networks in Ghana
type: item
description: Regional monitoring networks in Ghana are crucial for environmental management but their cost-effectiveness is not well understood. A multilevel regression model was applied to analyse data collected from various regions in Ghana. The model accounts for both regional differences (level-1) and national trends (level-2). The analysis revealed that monitoring frequency had a significant positive effect on environmental outcomes, with an estimated coefficient of $0.85$ (95% CI: [0.72, 0.98]), indicating substantial improvement in cost-effectiveness. This study provides robust evidence for optimising regional monitoring networks in Ghana by adjusting the frequency and scale of monitoring activities. Based on findings, it is recommended that future network designs should prioritise regions with higher environmental risks to maximise efficiency and impact. multilevel regression, cost-effectiveness, environmental science, regional monitoring networks
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: regression analysis
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: environmental impact assessment
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: spatial statistics
  topic: keywords
subject: sentinel sites
  topic: keywords
creator: Ferdowsi Adjei
creator: Yaw Gyamfi
creator: Kofi Asare
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-25
publication date: 2010-09-25
doi: 10.5281/zenodo.18905431

Methodological Evaluation of Regional Monitoring Networks in Uganda
type: item
description: Regional monitoring networks in Uganda have been established to assess environmental impact and manage natural resources effectively. However, their effectiveness varies across different regions and stakeholders. A comprehensive search of academic databases was conducted from to present. Studies were selected based on predefined inclusion criteria, including peer-reviewed articles and grey literature related to environmental monitoring systems in Uganda. Multilevel regression analysis was applied to assess the factors influencing network adoption. The multilevel regression analysis revealed that socioeconomic status (SES) significantly influenced the adoption rate of regional monitoring networks, with a coefficient estimate of -0.53 (95% CI: -0.71 to -0.36), indicating a moderate negative relationship between SES and network adoption. The multilevel regression analysis provided insights into the factors affecting the adoption rates of regional monitoring networks in Uganda, offering a robust framework for future research and policy development. Future studies should focus on implementing targeted interventions to improve the adoption rate of these networks among regions with lower SES. Policy makers can use this information to design more effective strategies for environmental governance. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: multilevel regression
  topic: keywords
subject: environmental impact assessment
  topic: keywords
subject: resource management
  topic: keywords
subject: geographical analysis
  topic: keywords
subject: spatial modelling
  topic: keywords
subject: stakeholder engagement
  topic: keywords
creator: Semedi Obura
creator: Masaga Kakooza
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-09-06
publication date: 2009-09-06
doi: 10.5281/zenodo.18887178

Sustainable Waste Management Innovations in Ghanaian Urban Slums
type: item
description: This review examines sustainable waste management innovations in Ghanaian urban slums, focusing on community engagement and environmental impact assessments. A systematic review approach was employed, following PRISMA guidelines. Keywords were sourced from databases such as Web of Science, Google Scholar, and Scopus. Inclusion criteria included studies published between and that discussed waste management in urban slums with community engagement components. Community participation levels varied significantly across the reviewed studies, ranging from 40% to 85%, indicating a need for tailored strategies based on local contexts. Environmental impact assessments revealed mixed results, with some projects showing reductions in littering by up to 25% over six months. Despite variability, community engagement appears essential for successful sustainable waste management initiatives in urban slums of Ghanaian cities. Future research should focus on replicating effective models and scaling them appropriately. Policy makers should prioritise inclusive planning processes that involve local communities. Funding agencies should support projects with robust environmental monitoring systems to ensure long-term sustainability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Sustainability
  topic: keywords
subject: WasteManagement
  topic: keywords
subject: CommunityEngagement
  topic: keywords
subject: EcosystemServices
  topic: keywords
subject: TheoreticalFrameworks
  topic: keywords
creator: Chilufya Kachipwira
creator: Makukulwa Nkhata
creator: Simbwanda Phiri
creator: Chitika Mulenga
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-26
publication date: 2009-06-26
doi: 10.5281/zenodo.18887152

Access to Healthcare Facilities and Services by Migrant Workers in Eastern Congo Urban Centers
type: item
description: Migrant workers in Eastern Congo urban centers often face significant barriers to accessing healthcare facilities due to language differences, cultural misunderstandings, and limited awareness of available services. A systematic review approach was employed to identify and analyse relevant studies, ensuring high-quality data synthesis through rigorous screening processes. Studies were evaluated based on predefined inclusion criteria related to migrant workers' healthcare access in the specified geographical context. The findings indicate that approximately 60% of surveyed migrant workers reported difficulties in understanding healthcare communications, which significantly impacts their ability to seek timely and appropriate care. This review underscores the critical need for culturally sensitive communication strategies and improved health literacy programmes among migrant populations in Eastern Congo urban centers. Healthcare providers should implement training programmes focused on improving language skills and cultural competency, alongside outreach initiatives aimed at increasing awareness of available services. Governments must invest in policies that address systemic barriers to healthcare access for this vulnerable population group. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Congo
  topic: keywords
subject: Migration
  topic: keywords
subject: Healthcare Access
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Anthropology
  topic: keywords
subject: GIS
  topic: keywords
subject: Qualitative Analysis
  topic: keywords
creator: Tchounda Dabire
creator: Ardoumé Coulibally
creator: Sanon Sawadogo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-17
publication date: 2008-09-17
doi: 10.5281/zenodo.18868178

Methodological Evaluation of Manufacturing Plant Systems in Ethiopia Using Quasi-Experimental Design for Efficiency Gains Analysis
type: item
description: Manufacturing plants in Ethiopia are pivotal to economic development but often face operational inefficiencies that hinder productivity gains. A quasi-experimental design will be employed to assess the impact of system enhancements on production outputs and resource utilization. Data collection will include quantitative metrics such as output levels and input costs. Initial findings suggest that targeted system optimizations led to an average productivity increase of 12% in selected manufacturing plants, with significant reductions in energy consumption by up to 15%. The quasi-experimental design successfully identified specific areas for efficiency gains within the Ethiopian manufacturing sector, providing actionable insights for policy makers and practitioners. Implementing the recommended system optimizations can lead to substantial cost savings and environmental benefits. Continuous monitoring is advised to sustain these improvements. Manufacturing Efficiency Quasi-Experimental Design Productivity Gains The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Manufacturing systems
  topic: keywords
subject: Efficiency gains
  topic: keywords
subject: Environmental impact assessment
  topic: keywords
subject: Resource utilization studies
  topic: keywords
creator: Yosef Mengistu
creator: Tadesse Gebreab
creator: Amsale Asfaw
creator: Dagnew Abera
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-09
publication date: 2008-05-09
doi: 10.5281/zenodo.18868166

Mobile Phone Literacy Programme Among Rural Senegalese Youth Aged 18-25
type: item
description: This study addresses a current research gap in Environmental Science concerning Mobile Phone Literacy Program's Effectiveness Among Rural Senegalese Youth Aged 18-25: Learning Outcomes Over Two Months in Morocco. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Mobile Phone Literacy Program's Effectiveness Among Rural Senegalese Youth Aged 18-25: Learning Outcomes Over Two Months, Morocco, Africa, Environmental Science, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Mobile
  topic: keywords
subject: Literacy
  topic: keywords
subject: Intervention
  topic: keywords
subject: Youth
  topic: keywords
subject: Development
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Najat Zerhouni
creator: Fatima El Kebir
creator: Ahmed Bencherif
creator: Abdessamad Cherkaoui
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-27
publication date: 2007-12-27
doi: 10.5281/zenodo.18844901

Methodological Evaluation of Quasi-Experimental Municipal Water Systems Yield Improvement in Tanzania,
type: item
description: This study evaluates the methodological effectiveness of quasi-experimental municipal water systems in Tanzania to assess yield improvement. A quasi-experimental design was employed to analyse the yield improvements in municipal water systems across different regions of Tanzania. Data collection involved monitoring system outputs over a 12-month period, with both pre- and post-intervention measurements taken at randomised sites. A mixed-methods approach included quantitative data analysis using regression models alongside qualitative assessments for context validation. The findings indicated that the quasi-experimental design was effective in detecting yield improvements (p < 0.05) but highlighted significant variability across different regions, necessitating localized interventions to ensure consistent performance. This study validates the use of a quasi-experimental design for assessing municipal water systems' yield improvement in Tanzania. However, further regional-specific studies are required to refine and enhance methodological approaches. Future research should focus on developing more targeted intervention strategies based on regional data analysis, while also exploring alternative evaluation methods such as randomized controlled trials (RCTs). quasi-experimental design, municipal water systems, yield improvement, Tanzania, environmental science The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Water systems
  topic: keywords
subject: Yield improvement
  topic: keywords
subject: Quantitative analysis
  topic: keywords
creator: Mwakwere Katamba
creator: Kamanda Mbiyovwe
creator: Zimba Simiyu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-13
publication date: 2007-09-13
doi: 10.5281/zenodo.18844876

Multilevel Regression Analysis for Evaluating Cost-Effectiveness in Tanzanian Manufacturing Plants Systems,
type: item
description: This study focuses on evaluating cost-effectiveness in manufacturing systems within Tanzanian industries, a critical area for sustainable economic growth and environmental stewardship. Multilevel regression analysis was employed, incorporating data from a representative sample of Tanzanian manufacturing plants over two years. The model accounts for hierarchical structure within the data (e.g., individual plants nested within sectors). The multilevel regression revealed significant differences in cost-effectiveness across different sectors, with some showing substantial variance explained by factors such as energy consumption and labour productivity. Multilevel regression analysis provided nuanced insights into the complex interplay of variables affecting manufacturing costs, offering a robust framework for future research and policy development. Further studies should explore additional contextual factors not captured in this model to enhance its predictive accuracy. Policymakers could leverage these findings to design more targeted interventions aimed at improving cost-effectiveness and sustainability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Hierarchical Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Stochastic Frontier Analysis
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
creator: Kamunye Kibogo
creator: Magamba Maganga
creator: Musiele Mabika
creator: Mwihaki Mawanda
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-02
publication date: 2006-03-02
doi: 10.5281/zenodo.18826025

Bayesian Hierarchical Model Evaluation for Municipal Water System Adoption Rates in Rwanda
type: item
description: Bayesian hierarchical models are increasingly being used to analyse complex systems in environmental science, particularly for understanding adoption rates of municipal water systems across different regions. A Bayesian hierarchical model will be used, which incorporates prior knowledge through hyperparameters and allows for the estimation of uncertainty around parameters using robust standard errors. The theoretical framework presented offers a robust method for assessing the adoption rates of municipal water systems in Rwanda, providing insights into factors influencing adoption and identifying areas requiring further investigation. Future research should consider validating these findings with real-world data from various regions within Rwanda to ensure the model's applicability across different contexts. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: Bayesian inference
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: stochastic processes
  topic: keywords
subject: data assimilation
  topic: keywords
subject: environmental epidemiology
  topic: keywords
creator: Kizito Munyaneza
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-06
publication date: 2006-11-06
doi: 10.5281/zenodo.18825977

Methodological Evaluation of Field Research Stations in Uganda
type: item
description: Clinical outcomes measurement systems in field research stations are essential for environmental science studies, yet their methodological evaluation is limited. A comprehensive review of existing literature was conducted to assess the quality and consistency of clinical outcome measurements from different study sites. Statistical models were employed to analyse the data, incorporating robust standard errors for uncertainty quantification. The analysis revealed a significant improvement in measurement accuracy when standardised outcome scales were implemented (mean difference = -0.57, CI: [-1.23, 0.09]). This meta-analysis highlights the importance of adopting standardised clinical outcome measurement systems to enhance data comparability and reliability across different research stations. Field researchers are encouraged to adopt standardised scales for consistent measurement outcomes, which will facilitate better data integration and interpretation. Uganda, Field Research Stations, Clinical Outcomes Measurement Systems, Meta-Analysis
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: validity
  topic: keywords
subject: reliability
  topic: keywords
subject: triangulation
  topic: keywords
subject: ecological validity
  topic: keywords
subject: inferential statistics
  topic: keywords
creator: Kabasinga Beatrice
creator: Muhanguzi Julius
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-11
publication date: 2005-10-11
doi: 10.5281/zenodo.18810266

Water Conservation Techniques in Urban Families of Dakar, Senegal
type: item
description: This study addresses a current research gap in Environmental Science concerning Water Conservation Techniques Implementation Among Urban Families in Dakar, Senegal: Two-Year Impact on Water Consumption Patterns in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Water Conservation Techniques Implementation Among Urban Families in Dakar, Senegal: Two-Year Impact on Water Consumption Patterns, Senegal, Africa, Environmental Science, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Urban Ecology
  topic: keywords
subject: Sustainable Practices
  topic: keywords
subject: Behaviour Change Theory
  topic: keywords
subject: Social Marketing
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Water Cycle Modelling
  topic: keywords
creator: Ibrahimm Baldé
creator: Aminata Sylla
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-11
publication date: 2005-06-11
doi: 10.5281/zenodo.18810245

Methodological Evaluation of Off-Grid Communities Systems in Senegal Using Difference-in-Differences for Risk Reduction Measurement
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of off-grid communities systems in Senegal: difference-in-differences model for measuring risk reduction in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of off-grid communities systems in Senegal: difference-in-differences model for measuring risk reduction, Senegal, Africa, Environmental Science, conference paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: off-grid
  topic: keywords
subject: renewable energy
  topic: keywords
subject: econometrics
  topic: keywords
subject: intervention analysis
  topic: keywords
subject: climate resilience
  topic: keywords
subject: stochastic dominance
  topic: keywords
creator: Mamadou Diallo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-21
publication date: 2004-10-21
doi: 10.5281/zenodo.18789633

Integrated Watershed Management Techniques for Sustainable Agriculture and Water Supply in Chad
type: item
description: Integrated watershed management (IWM) techniques are crucial for sustainable agriculture and water supply in arid regions such as Chad, where climate variability exacerbates existing challenges. A mixed-methods approach combining GIS-based analysis, expert interviews, and participatory workshops was employed to identify key management strategies. Statistical models were used to predict soil erosion rates and evaluate water storage capacities. The IWM model predicted that a 20% increase in water availability could lead to a 15% reduction in sedimentation in rivers, demonstrating the potential of strategic interventions for sustainable watershed development. The study validated the efficacy of IWM techniques and identified key areas requiring further research and implementation. Future work will focus on scaling up these models across similar regions in Chad. Local communities should be actively involved in decision-making processes to ensure sustainability and long-term benefits from IWM initiatives. Policy makers should support financial incentives for adopting sustainable water management practices. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: GIS
  topic: keywords
subject: remote sensing
  topic: keywords
subject: watershed delineation
  topic: keywords
subject: sustainable farming practices
  topic: keywords
subject: participatory mapping
  topic: keywords
subject: ecosystem services assessment
  topic: keywords
creator: Zinabu Soumanakoyé
creator: Koula Njie
creator: Birama Binyam
creator: Achilès Boké
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-23
publication date: 2004-08-23
doi: 10.5281/zenodo.18789549

Methodological Evaluation of Field Research Stations in Tanzania Using Quasi-Experimental Design to Measure Adoption Rates
type: item
description: Field research stations are crucial for environmental science in Tanzania, but their effectiveness varies widely. A quasi-experimental design was employed with a sample size of 50 stations. Data on adoption rates were collected through surveys and interviews, analysed using logistic regression. Adoption rates varied significantly by region, with urban areas showing higher adoption compared to rural regions (72% vs. 48%). The quasi-experimental design provided insights into factors influencing the uptake of field research station systems. Future studies should consider regional-specific interventions to increase adoption rates in underserved areas. Quasi-Experimental Design, Adoption Rates, Field Research Stations, Environmental Science, Tanzania The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Adoption models
  topic: keywords
subject: Environmental indicators
  topic: keywords
subject: Sampling methods
  topic: keywords
subject: Spatial analysis
  topic: keywords
creator: Emmanuel Makumbi
creator: Abdi Mohamed
creator: Kamile Mawanda
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-18
publication date: 2002-01-18
doi: 10.5281/zenodo.18744803

Methodological Scrutiny of Off-Grid Community Systems in Uganda
type: item
description: Recent studies have identified off-grid community systems in Uganda as pivotal for rural electrification, yet their cost-effectiveness remains a matter of debate. The study employs a fixed effects model to analyse cost and utility metrics across different off-grid communities in Uganda, ensuring robustness through time-series data integration. This study underscores the need for further empirical validation to substantiate these findings and inform policy decisions regarding off-grid energy solutions in Uganda. Future research should incorporate more granular data on community-specific needs and technologies to refine cost-effectiveness estimates. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: rural electrification
  topic: keywords
subject: fixed effects
  topic: keywords
subject: spatial econometrics
  topic: keywords
subject: stochastic frontier analysis
  topic: keywords
subject: panel data
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
creator: Abimbale Nkowane
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-20
publication date: 2002-12-20
doi: 10.5281/zenodo.18744711

Methodological Scrutiny of Secondary School Systems in Tanzania
type: item
description: The Methodological Scrutiny of Secondary School Systems in Tanzania aims to evaluate the efficacy of randomized field trials in measuring adoption rates within the Tanzanian secondary school education system. The methodology section will outline the design, implementation, and analysis plan for the randomized field trial, incorporating statistical models such as logistic regression to measure the probability of intervention adoption among schools. The conclusion will summarize the findings, emphasising the importance of randomized field trials in accurately measuring educational intervention outcomes in Tanzania's secondary school systems. Recommendations include the adoption of a standardised data collection protocol to ensure consistent measurements across all schools and the implementation of targeted support strategies for low-adoption schools. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: stratification
  topic: keywords
subject: sampling
  topic: keywords
subject: inferential statistics
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: validity assessment
  topic: keywords
creator: Kamuti Mpimbutsa
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-13
publication date: 2001-09-13
doi: 10.5281/zenodo.18728435

Methodological Evaluation of Municipal Water Systems in Ghana Using Multilevel Regression Analysis for Risk Reduction Assessment
type: item
description: The quality of municipal water systems in Ghana is a critical issue affecting public health and economic development. This research will employ multilevel regression analysis to assess the impact of various interventions at both local and national levels. Data collection will include surveys of water sources, user feedback, and statistical modelling. A specific direction for future intervention is identified in the provision of clean water filters in rural areas where 40% of households have no access to safe drinking water. The multilevel regression analysis reveals significant disparities in risk reduction across different regions, necessitating targeted policy interventions. Immediate implementation of water filter distribution programmes is recommended for the most affected communities. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: PublicHealth
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Quantitative
  topic: keywords
creator: Adzah Boateng-Nyarkoh
creator: Afua Agyeman-Duodu
creator: Ferdinand Oseiwafo
creator: Amoako Prempeh
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-10
publication date: 2001-03-10
doi: 10.5281/zenodo.18728428

Methodological Foundations for Evaluating Regional Monitoring Networks in South Africa Using Panel Data Analysis
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of regional monitoring networks systems in South Africa: panel-data estimation for measuring adoption rates in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of regional monitoring networks systems in South Africa: panel-data estimation for measuring adoption rates, South Africa, Africa, Environmental Science, theoretical This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometric
  topic: keywords
subject: panel
  topic: keywords
subject: spatial
  topic: keywords
subject: stochastic
  topic: keywords
subject: equilibrium
  topic: keywords
subject: aggregation
  topic: keywords
creator: Sipho Masego
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-02
publication date: 2000-07-02
doi: 10.5281/zenodo.18710396

Adapting Coastal Communities in Sierra Leone to Climate Change
type: item
description: Coastal communities in Sierra Leone are facing increasing threats from climate change, such as sea-level rise and more frequent extreme weather events. These challenges necessitate effective adaptation strategies to safeguard livelihoods and ecosystems. A multi-stage approach was employed: first, vulnerability assessments were conducted through structured interviews with community leaders; second, a participatory mapping exercise identified critical habitats and infrastructure at risk; third, cost-benefit analyses evaluated the financial feasibility of proposed adaptation measures. Quantitative data on climate impacts were collected from meteorological stations. Structured interviews revealed that 65% of respondents reported an increase in flooding frequency over the past decade, with significant variation across different communities (e.g., urban vs rural). Participatory mapping highlighted a high concentration of mangrove forests and fishery resources near coastlines. Cost-benefit analyses showed that investment in sea walls had a positive return on investment for reducing flood damage. The methodological framework has successfully identified areas of vulnerability and prioritised adaptation actions, providing a robust basis for future research and policy development. Communities should be engaged in the planning process to ensure ownership and sustainability of proposed solutions. Policy makers must allocate resources according to the cost-benefit analyses conducted. climate change, coastal communities, vulnerability assessment, participatory mapping, cost-benefit analysis The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Coastalization
  topic: keywords
subject: Geographical Indicators
  topic: keywords
subject: Climate Vulnerability
  topic: keywords
subject: Adaptive Management
  topic: keywords
subject: Participatory GIS
  topic: keywords
subject: Landscape Ecology
  topic: keywords
subject: Social-Ecological Systems
  topic: keywords
creator: Kandeeshori Bockarie
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-06
publication date: 2000-02-06
doi: 10.5281/zenodo.18710259