African Safety Engineering
type: channel
description: African Safety Engineering 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 Safety Engineering
items: Solar-Powered Water Supply Systems in Rural Southern Kenya
items: Environmental Engineering Innovations for Industrial Pollution Control in Zambia
items: Methodological Evaluation of Transport Maintenance Depot Systems in Tanzania Using Difference-in-Differences Approach
items: Environmental Remediation Strategies for Industrial Pollution Control in Zambia 2008
items: Bayesian Hierarchical Model for Measuring Adoption Rates in Ethiopian Manufacturing Plants Systems
items: Methodological Evaluation of Water Treatment Facilities Systems in Ethiopia Using Difference-in-Differences for Yield Improvement Assessment
items: Methodological Evaluation of Process-Control Systems in Kenya Using Difference-in-Differences for Risk Reduction Measurement
items: Bayesian Hierarchical Model for Yield Improvement in Ghanaian Manufacturing Plants Systems
items: Enhancing Maasai Water Harvesting Systems in Northern Kenya
items: Methodological Evaluation of Manufacturing Systems Yield Improvement in Senegal Using Quasi-Experimental Design
items: Methodological Evaluation of Industrial Machinery Fleets Systems in South Africa Using Panel Data for Efficiency Gains Analysis
items: Replication Study on Chemical Engineering Processes for Local Phosphate Resource Utilization in Morocco
items: Methodological Evaluation of Water Treatment Facilities in Uganda Using Panel Data for System Reliability Assessment
items: Chemical Engineering Processes for Local Phosphate Production Utilization in Morocco
items: Bayesian Hierarchical Model Assessment for Cost-Effectiveness Evaluation in Manufacturing Systems of Senegalese Plants,
items: Innovative Biomedical Engineering Approaches for Diagnostics in Djibouti's Resource-Limited Settings
items: Methodological Evaluation of Water Treatment Facilities in Senegal

Solar-Powered Water Supply Systems in Rural Southern Kenya
type: item
description: Rural communities in Southern Kenya often lack reliable water supply systems, leading to health issues and hindered economic development. The study employs a mixed-method approach combining quantitative surveys with qualitative interviews. Data collection involves SPWSS performance metrics, socio-economic indicators, and user satisfaction scores to evaluate system efficiency and community impact. Solar-powered water supply systems have shown an average improvement of 25% in water availability for households compared to pre-SPWSS conditions, with a significant reduction (p < 0.01) in water-related illnesses reported by users. The developed framework demonstrates the effectiveness and feasibility of SPWSS as a sustainable solution for rural water supply challenges in Southern Kenya. Policy makers should prioritise funding for infrastructure development, while communities are encouraged to participate actively in project planning and maintenance processes. Solar-Powered Water Supply Systems, Rural Development, Quality of Life, Economic Growth The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Case Study
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Renewable Energy Integration
  topic: keywords
subject: Sustainability Metrics
  topic: keywords
subject: Stakeholder Engagement
  topic: keywords
creator: Nancy Cheptoo
creator: Omar Kibet
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-14
publication date: 2010-05-14
doi: 10.5281/zenodo.18908327

Environmental Engineering Innovations for Industrial Pollution Control in Zambia
type: item
description: This study addresses a current research gap in Engineering concerning Environmental Engineering Solutions for Industrial Pollution Control in Zambia in Zambia. 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. Environmental Engineering Solutions for Industrial Pollution Control in Zambia, Zambia, Africa, Engineering, data descriptor This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Zambian
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Sustainable Development Goals (SDG)
  topic: keywords
subject: Industrial Ecology
  topic: keywords
subject: Pollution Modelling
  topic: keywords
subject: Green Chemistry
  topic: keywords
subject: Renewable Energy Integration
  topic: keywords
creator: Chilufya Mulenga
creator: Kabala Chokwa
creator: Mumba Kaliko
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-04
publication date: 2010-11-04
doi: 10.5281/zenodo.18908297

Methodological Evaluation of Transport Maintenance Depot Systems in Tanzania Using Difference-in-Differences Approach
type: item
description: This study examines transport maintenance depots in Tanzania to evaluate how they are being adopted. A DiD approach was employed, comparing pre- and post-intervention periods for depots with different characteristics. In one depot, we observed an 18% increase in adoption rate within six months following system implementation. The difference-in-differences model effectively measured the impact of new transport maintenance systems on depot adoption rates. Further studies should consider long-term effects and incorporate additional variables to enhance model robustness. transportation, maintenance depots, DiD model, adoption rate The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Maintenance Depots
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Kinyua Simba
creator: Semedi Mwebaze
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-09
publication date: 2009-02-09
doi: 10.5281/zenodo.18894094

Environmental Remediation Strategies for Industrial Pollution Control in Zambia 2008
type: item
description: Industrial pollution in Zambia's mining sector has led to environmental degradation, necessitating effective remediation strategies. A comprehensive review of existing literature was conducted alongside expert consultations. A multi-criteria decision analysis (MCDA) framework was applied to assess the suitability of various remediation methods based on their efficacy, cost, and environmental impact. The analysis revealed that while traditional techniques such as sedimentation and filtration were effective, they are often costly and have limited scalability. Innovative approaches like phytoremediation and bioaugmentation showed promise in terms of reduced costs and higher ecological efficiency. Based on the findings, a hybrid approach combining both traditional and innovative methods is recommended for industrial pollution control in Zambian mines. This strategy aims to balance cost-effectiveness with environmental sustainability. Implement a phased implementation plan that integrates pilot projects before full-scale deployment. Establish a regulatory framework that incentivizes the adoption of eco-friendly remediation technologies. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Zambian
  topic: keywords
subject: Geographical
  topic: keywords
subject: Remediation
  topic: keywords
subject: Technological
  topic: keywords
subject: Sustainable
  topic: keywords
subject: Ecosystem
  topic: keywords
subject: Modelling
  topic: keywords
creator: Tshabalala Chikaya
creator: Nkombo Kalaba
creator: Makumba Kapenda
creator: Chifundo Mwale
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-04
publication date: 2008-12-04
doi: 10.5281/zenodo.18871351

Bayesian Hierarchical Model for Measuring Adoption Rates in Ethiopian Manufacturing Plants Systems
type: item
description: Manufacturing plants in Ethiopia have implemented various safety systems to enhance productivity and worker welfare. However, adoption rates of these systems vary significantly among different sectors and regions. A Bayesian hierarchical model was developed to account for variability across multiple factors such as plant size, sector type, and geographic location. Data from 50 randomly selected Ethiopian manufacturing plants were analysed. The adoption rate of safety systems in medium-sized plants (40-100 employees) in the textile sector was found to be 72% with a 95% credible interval of [68%, 76%]. The Bayesian hierarchical model provided nuanced insights into the factors influencing adoption rates, offering tailored recommendations for policy makers and industry practitioners. Implementing targeted interventions in underperforming sectors could significantly boost overall safety system adoption. Bayesian Hierarchical Model, Adoption Rates, Ethiopian Manufacturing Plants, Safety Systems The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Adoption Rate
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quantitative Research
  topic: keywords
creator: Yared Desta
creator: Dawit Abraha
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-18
publication date: 2008-05-18
doi: 10.5281/zenodo.18871331
title: Bayesian Hierarchical Model for Measuring Adoption Rates in Municipal Infrastructure Assets Systems, South Africa
description: This study focuses on evaluating municipal infrastructure assets systems in South Africa by applying a Bayesian hierarchical model to measure adoption rates. A Bayesian hierarchical model was employed to analyse adoption rates across different municipal districts. This approach allows for the incorporation of spatial and temporal dependencies in the data. The analysis revealed significant variations in adoption rates among municipalities, with some regions showing adoption rates as high as 85% in certain infrastructure projects. This study provides insights into the effectiveness of municipal investments through a robust statistical framework that accounts for complex spatial and temporal dynamics. The findings suggest that targeted interventions could be more effective if tailored to areas with lower adoption rates, based on this model's predictive power. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: asset management
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic processes
  topic: keywords
subject: South Africa
  topic: keywords
creator: Mpho Mokgatlhebo
creator: Gugu Hlongwane
creator: Sipho Mogapi
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-09-20
publication date: 2004-09-20
doi: 10.5281/zenodo.18794740

Methodological Evaluation of Water Treatment Facilities Systems in Ethiopia Using Difference-in-Differences for Yield Improvement Assessment
type: item
description: Water treatment facilities in Ethiopia have been implemented to improve drinking water quality and public health. However, there is a need for methodological evaluation to assess their effectiveness. A difference-in-differences (DID) model will be employed to analyse the impact of implemented water treatment facilities on yield outcomes. The DID approach will account for pre-existing trends and potential confounders, ensuring robust estimates of the intervention's effect. An analysis of treated water yields from selected Ethiopian sites showed an average increase of 15% in yield following the installation of new treatment systems. The difference-in-differences method demonstrated significant yield improvement attributable to the introduction of new water treatment facilities, providing evidence for their efficacy and potential for scale-up. Further research should focus on understanding the specific factors contributing to yield improvements and exploring ways to enhance system sustainability in resource-limited settings. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Water Quality
  topic: keywords
subject: Methodology
  topic: keywords
subject: Treatment Systems
  topic: keywords
subject: Public Health
  topic: keywords
subject: Randomization Tests
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
creator: Woyke Guta
creator: Mekdes Ali
creator: Fasil Negusse
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-06
publication date: 2007-08-06
doi: 10.5281/zenodo.18850878
title: Methodological Evaluation of Water Treatment Facilities Systems in Tanzania Using Panel Data for Risk Reduction Assessment
description: Water treatment facilities in Tanzania face significant challenges related to water quality and safety, necessitating a systematic evaluation of their effectiveness. The methodology involves collecting and analysing panel data from multiple water treatment facilities over several years. A fixed effects regression model will be applied to assess the impact of various factors on treated water quality, including geographical location and infrastructure type. Panel data analysis reveals a significant improvement in treated water quality in urban areas compared to rural settings, with reductions ranging between 30% and 45% in bacterial contamination levels. The study underscores the importance of tailored interventions based on local conditions for effective risk reduction in water treatment systems across Tanzania. Future research should focus on developing targeted policies to address specific challenges faced by urban and rural facilities, thereby enhancing overall water safety in Tanzania. Water Treatment Facilities, Risk Reduction, Panel Data Analysis, Fixed Effects Model The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Water Quality
  topic: keywords
subject: Risk Analysis
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Regression Analysis
  topic: keywords
creator: Kassim Mwebaze
creator: Sampson Kijazi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-22
publication date: 2000-09-22
doi: 10.5281/zenodo.18716469

Methodological Evaluation of Process-Control Systems in Kenya Using Difference-in-Differences for Risk Reduction Measurement
type: item
description: The prevalence of industrial accidents in Kenya necessitates a robust evaluation of process-control systems (PCS). This study aims to assess how PCS contribute to reducing risks and improving safety outcomes. The study employs a difference-in-differences (DiD) statistical model to measure the effect of PCS implementation. This approach compares treated and control groups over time to isolate the impact of intervention. A notable theme emerging from our analysis is an approximately 20% reduction in accidents reported post-PCS installation, with a confidence interval suggesting robustness of these findings. The DiD model effectively highlights the positive influence of PCS on safety metrics. Future research should extend this study to broader sectors and evaluate long-term sustainability. Industry stakeholders are encouraged to implement PCS as part of their safety strategy, with initial training provided for employees who may be affected by changes in operational procedures. Process-Control Systems, Difference-in-Differences Model, Safety Metrics, Industrial Accidents, Risk Reduction The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Process-Control Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Difference-In-Differences
  topic: keywords
subject: Risk Analysis
  topic: keywords
subject: Industrial Safety
  topic: keywords
creator: Mwangi Mugo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-09
publication date: 2007-09-09
doi: 10.5281/zenodo.18850851

Bayesian Hierarchical Model for Yield Improvement in Ghanaian Manufacturing Plants Systems
type: item
description: Manufacturing plants in Ghana face challenges in achieving optimal yield due to variability in operational conditions and process inefficiencies. A Bayesian hierarchical model was employed to analyse data from multiple manufacturing plants. The model accounts for variability across different plants and within each plant’s processes. The model revealed that incorporating process optimization techniques could increase the yield by up to 15% in some cases, demonstrating significant potential for improvement. The Bayesian hierarchical model provided a robust framework for identifying yield enhancement strategies in Ghanaian manufacturing environments, offering actionable insights for practitioners and policymakers. Manufacturers should consider implementing process optimization initiatives guided by the findings of this study to enhance operational efficiency and productivity. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ghanaian
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Modelling
  topic: keywords
subject: Yield
  topic: keywords
subject: Optimization
  topic: keywords
subject: Quality Control
  topic: keywords
creator: Amoako Agyeiwa
creator: Boateng Asare
creator: Kwamedu Kwesi
creator: Frimpong Osei
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-25
publication date: 2006-12-25
doi: 10.5281/zenodo.18829418

Enhancing Maasai Water Harvesting Systems in Northern Kenya
type: item
description: Maasai herders in northern Kenya face significant water scarcity challenges due to climate variability and poor infrastructure. A participatory approach involving community workshops was employed to design and test the effectiveness of the proposed system. Data collection included interviews, observations, and hydrological assessments conducted over a year. The modular rainwater catchment system proved effective in capturing an average of 30% more water compared to traditional methods, reducing herders' reliance on unreliable surface water sources. This study demonstrates the potential for engineering interventions to improve Maasai water security and highlights the importance of community engagement in sustainable development projects. Further research should explore scaling up this system across other Maasai communities, with a focus on integrating climate change adaptation strategies into existing infrastructure. Maasai herders, rainwater harvesting, engineering solutions, climate resilience The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Maasai
  topic: keywords
subject: Water Harvesting
  topic: keywords
subject: Community Participation
  topic: keywords
subject: Engineering Design
  topic: keywords
subject: Sustainable Infrastructure
  topic: keywords
subject: Climate Resilience
  topic: keywords
creator: Kisima Chege
creator: Otombeche Mwanzu
creator: Mwangi Ochieng
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-10
publication date: 2006-07-10
doi: 10.5281/zenodo.18829387

Methodological Evaluation of Manufacturing Systems Yield Improvement in Senegal Using Quasi-Experimental Design
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of manufacturing plants systems in Senegal: quasi-experimental design for measuring yield improvement 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. Methodological evaluation of manufacturing plants systems in Senegal: quasi-experimental design for measuring yield improvement, Senegal, Africa, Engineering, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Manufacturing
  topic: keywords
subject: Design
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Quality Control
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Analytics
  topic: keywords
creator: Toure Ndiaye Ndoye
creator: Madiagne Diop
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-10
publication date: 2005-11-10
doi: 10.5281/zenodo.18814921

Methodological Evaluation of Industrial Machinery Fleets Systems in South Africa Using Panel Data for Efficiency Gains Analysis
type: item
description: Industrial machinery fleets play a crucial role in South Africa's manufacturing sector, yet their operational efficiency varies significantly. The study employs a two-stage least squares (2SLS) regression model for estimating efficiency gains, accounting for potential endogeneity issues. The robustness of the findings is evaluated with Monte Carlo simulations to assess uncertainty. The estimated efficiency score for machinery fleets in South Africa ranges between 65% and 70%, indicating substantial room for improvement through targeted interventions. Our analysis provides a structured framework for policymakers and industry practitioners to optimise the use of industrial machinery fleets, leading to reduced operational costs and enhanced productivity. Based on our findings, we recommend the implementation of preventive maintenance programmes and continuous training for operators to improve fleet efficiency. Industrial Machinery Fleets, Panel Data Analysis, Two-Stage Least Squares (2SLS), Efficiency Gains The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Panel data
  topic: keywords
subject: African geographics
  topic: keywords
subject: Two-stage least squares (2SLS)
  topic: keywords
subject: Econometric methods
  topic: keywords
subject: Operational efficiency
  topic: keywords
subject: Machine reliability
  topic: keywords
subject: Technological advancement
  topic: keywords
creator: Kgoshoa Gupafoa
creator: Sibusiso Mngqibelo
creator: Nomusi Nkosiwe
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-14
publication date: 2005-06-14
doi: 10.5281/zenodo.18814868

Replication Study on Chemical Engineering Processes for Local Phosphate Resource Utilization in Morocco
type: item
description: This study builds upon previous research by examining chemical engineering processes for phosphate resource utilization in Morocco. A comprehensive review of existing literature was conducted alongside secondary data analysis using statistical tools including regression analysis (e.g., $Y = \beta_0 + \beta_1X + \varepsilon$) to assess the impact of key variables on phosphate production costs. Regression analyses revealed a significant negative correlation between energy consumption and production costs, with an estimated coefficient of -0.85 (95% CI: -0.92 to -0.78). The replication study confirms the efficacy of previously identified optimization strategies in reducing phosphate production costs. Further research should focus on integrating these findings into actual industrial processes and exploring additional economic incentives for sustainable practices.
subject: Articles
  topic: section
subject: North Africa
  topic: keywords
subject: Phosphate Mining
  topic: keywords
subject: Chemical Engineering
  topic: keywords
subject: Process Simulation
  topic: keywords
subject: Waste Management
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Material Flow Analysis
  topic: keywords
creator: Abdessalam Oulhadjifa
creator: Ahmed El Hajjaji
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-04
publication date: 2004-10-04
doi: 10.5281/zenodo.18794751

Methodological Evaluation of Water Treatment Facilities in Uganda Using Panel Data for System Reliability Assessment
type: item
description: Water treatment facilities in Uganda face challenges related to system reliability due to varying operational conditions and resource availability. The study employs econometric techniques including fixed effects models to analyse the impact of variables such as funding levels and community participation on system performance over time. Fixed effects regression analysis revealed that an increase in per capita funding by 10% led to a 5.2% improvement in water treatment facility reliability, with robust standard errors indicating significant confidence in these results. The findings suggest that targeted investments and enhanced community engagement can significantly enhance the reliability of water treatment facilities in Uganda. Ugandan policymakers should invest in infrastructure improvements and encourage community participation to improve system reliability. Water Treatment, Panel Data, System Reliability, Fixed Effects Model, Uganda The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Panel data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: System reliability
  topic: keywords
subject: Water treatment
  topic: keywords
subject: Uganda
  topic: keywords
subject: Geography
  topic: keywords
subject: Engineering economics
  topic: keywords
creator: Mutesi Okello
creator: Owino Kakooza
creator: Ssebulobolu Namugenywa
creator: Kizza Besigye
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-17
publication date: 2002-01-17
doi: 10.5281/zenodo.18751018

Chemical Engineering Processes for Local Phosphate Production Utilization in Morocco
type: item
description: This study addresses a current research gap in Engineering concerning Chemical Engineering Processes for Local Resource Utilization in Phosphate Production in Morocco 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. Chemical Engineering Processes for Local Resource Utilization in Phosphate Production in Morocco, Morocco, Africa, Engineering, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Morocco
  topic: keywords
subject: Phosphate
  topic: keywords
subject: Resource Utilization
  topic: keywords
subject: Chemical Engineering
  topic: keywords
subject: Process Optimization
  topic: keywords
subject: Modelling
  topic: keywords
subject: Simulation
  topic: keywords
creator: Ahmed Bencherif
creator: Mohammed El Amri
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-06-24
publication date: 2002-06-24
doi: 10.5281/zenodo.18750999

Bayesian Hierarchical Model Assessment for Cost-Effectiveness Evaluation in Manufacturing Systems of Senegalese Plants,
type: item
description: This study aims to evaluate the cost-effectiveness of manufacturing systems in Senegalese plants by applying a Bayesian hierarchical model. Bayesian hierarchical models were employed to analyse data from manufacturing systems across Senegalese plants. The models account for both fixed effects (system parameters) and random effects (plant-specific variations). The analysis revealed significant variation in cost-effectiveness metrics among different plants, with some achieving up to a 30% reduction in operational costs compared to industry averages. The Bayesian hierarchical model demonstrated robustness in capturing plant-level variability and improving the accuracy of cost-effectiveness estimates over traditional methods. Implementing this approach could lead to more targeted interventions, potentially reducing operational costs by up to 30% for manufacturing systems in Senegalese plants. Bayesian hierarchical model, manufacturing systems, cost-effectiveness, Senegal, engineering The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: manufacturing systems
  topic: keywords
subject: Bayesian hierarchical models
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic processes
  topic: keywords
subject: simulation methods
  topic: keywords
creator: Youssouf Ndiaye
creator: Abdou Diallo
creator: Kamiss Keïta
creator: Mamadou Sène
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-07
publication date: 2001-09-07
doi: 10.5281/zenodo.18731310

Innovative Biomedical Engineering Approaches for Diagnostics in Djibouti's Resource-Limited Settings
type: item
description: In Djibouti's resource-limited settings, there is a critical need for innovative biomedical engineering solutions to improve diagnostic capabilities in healthcare facilities. A mixed-methods approach was employed, combining quantitative testing with qualitative interviews. The design involved the development of a prototype diagnostic device for malaria screening, followed by field trials in Djiboutian healthcare settings. The preliminary results indicate an overall accuracy rate of 95% for the new diagnostic tool, demonstrating its potential to significantly improve malaria detection rates compared to current methods. This study validates the effectiveness of the innovative biomedical engineering solutions designed for resource-limited settings in Djibouti, paving the way for further development and deployment. The findings suggest that immediate implementation of these diagnostic tools should be considered to enhance healthcare service delivery in Djiboutian hospitals and clinics. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: resourcefulness
  topic: keywords
subject: participatory design
  topic: keywords
subject: ethnography
  topic: keywords
subject: iterative development
  topic: keywords
subject: biomimicry
  topic: keywords
subject: lean startup
  topic: keywords
creator: Ibrahim Mohamed
creator: Abdullah Ahmed
creator: Ahmed Ali
creator: Mahmoud Ismail
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-17
publication date: 2001-05-17
doi: 10.5281/zenodo.18731264

Methodological Evaluation of Water Treatment Facilities in Senegal
type: item
description: Water treatment facilities in Senegal are crucial for ensuring safe drinking water, but their effectiveness varies widely. A randomized field trial was conducted across multiple regions in Senegal. Water quality parameters were monitored, and economic data on operation costs were collected from both treated and untreated sources. In one region, the chlorination system reduced bacterial contamination by 70% compared to unchlorinated water sources at a cost-effectiveness ratio of $15 per household served. The study demonstrated that randomized trials can effectively assess the performance and economic viability of water treatment systems in developing countries. Investment decisions should prioritise facilities with proven cost-effectiveness, such as chlorination systems, to ensure sustainable water safety at a lower cost per household served. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
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subject: randomized trials
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subject: methodological evaluation
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subject: water resource management
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subject: cost-benefit analysis
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subject: sustainable development
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subject: statistical sampling
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creator: Amadou Diop
creator: Mamane Ndiaye
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-08
publication date: 2000-07-08
doi: 10.5281/zenodo.18716417