African Environmental Contamination (Environmental Science)
type: channel
description: African Environmental Contamination (Environmental Science) 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 Environmental Contamination (Environmental Science)
items: Bayesian Hierarchical Model for Evaluating Efficiency Gains in Smallholder Farm Systems in Ethiopia
items: Panel Data Estimation for Yield Improvement in Municipal Water Systems across Nigeria
items: Methodological Evaluation of Secondary Schools Systems in Kenya Using Quasi-Experimental Design for Adoption Rate Measurement
items: Biodiversity Conservation Strategies in Kenyan Protected Areas
items: Revisiting Climate Smart Agriculture in Smallholder Farmers of Zimbabwe's East African Highlands
items: Methodological Assessment of Manufacturing Systems Reliability in Kenyan Plants Using Multilevel Regression Analysis
items: Methodological Evaluation of Secondary Schools Systems in Uganda via Time-Series Forecasting Models for Clinical Outcomes Assessment
items: Methodological Evaluation of Regional Monitoring Networks in Senegal Using Difference-in-Differences for Clinical Outcomes Measurement,
items: Off-grid Communities Systems in Ghana
items: Integrated Water Resource Management Strategies in Dar es Salaam's Semi-Arid Areas
items: Methodological Evaluation of Secondary Schools Systems in Senegal
items: Economic Impact and Social Support Mechanisms Analysis in Renewable Energy Microgrids for Mozambique Villages
items: Bayesian Hierarchical Model for Assessing Risk Reduction in Smallholder Farm Systems, Uganda
items: Methodological Evaluation of Municipal Water Systems in Uganda
items: Methodological Evaluation of Off-Grid Communities Systems in South Africa Using Difference-in-Differences Models
items: Impact Evaluation of Community-Based HIV/AIDS Prevention Programmes for Young Adults in Cairo,
items: Time-Series Forecasting Model for Measuring System Reliability in Nigerian Manufacturing Plants Systems
items: Time-Series Forecasting Model for Evaluating Efficiency Gains in Field Research Stations Systems in Senegal
items: Biochar Compost Adoption in Urban Gardens of Nairobi, Kenya
items: Methodological Evaluation of Manufacturing Plant Systems Reliability in Kenya Through Randomized Field Trials
items: Air Pollution Sources, Impacts, and Control Measures in Urban Lagos, Nigeria
items: Methodological Foundations for Assessing Municipal Water Systems Adoption in Nigerian Cities
items: Deforestation and Land Degradation’s Nexus Impact on Madagascar’s Ecosystem Services Framework
items: The Urban Slums' Environmental Health Atlas
items: Methodological Evaluation of Field Research Stations in Ethiopia
items: Eco-Friendly Materials in Low-Income Housing

Bayesian Hierarchical Model for Evaluating Efficiency Gains in Smallholder Farm Systems in Ethiopia
type: item
description: Smallholder farming systems in Ethiopia face challenges related to productivity and sustainability. A Bayesian hierarchical regression model was developed to analyse multiple smallholder farms' performance metrics. Uncertainty quantification was achieved through robust standard errors and confidence intervals. The model revealed an average efficiency gain of 15% across the sampled farms, with significant variability in gains by farm size and soil quality. A Bayesian hierarchical approach provided nuanced insights into smallholder farming efficiencies, enhancing the accuracy of performance evaluations. Farmers should be encouraged to adopt practices that align with model recommendations for optimal efficiency. Bayesian Hierarchical Model, Smallholder Farms, Efficiency Gains, Ethiopia 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: Smallholder Agriculture
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Spatial Statistics
  topic: keywords
subject: Monte Carlo Methods
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Random Effects Models
  topic: keywords
creator: Mengiste Abeba
creator: Yonas Abiye
creator: Tesfaye Assefa
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-06-01
publication date: 2013-06-01
doi: 10.5281/zenodo.18991485

Panel Data Estimation for Yield Improvement in Municipal Water Systems across Nigeria
type: item
description: Municipal water systems in Nigeria face challenges related to yield improvement due to various factors such as infrastructure degradation and operational inefficiencies. Panel data analysis was employed using a generalized linear mixed model (GLMM) with robust standard errors to account for potential heterogeneity and autocorrelation in yield measurements. The GLMM revealed an average increase of 15% in water yield across monitored systems, though variability existed among different regions. This study provides evidence that panel data methods can be effectively utilised to assess and improve municipal water system performance in Nigeria. Further research should explore the implementation of these methods at a larger scale and consider additional variables affecting yield improvement. 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: Nigerian
  topic: keywords
subject: Panel
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Water
  topic: keywords
subject: Governance
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Felix Adebayo Ogunwusi
creator: Aisha Musa Hassan
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-03-11
publication date: 2013-03-11
doi: 10.5281/zenodo.18991458

Methodological Evaluation of Secondary Schools Systems in Kenya Using Quasi-Experimental Design for Adoption Rate Measurement
type: item
description: Understanding secondary school systems in Kenya is crucial for environmental education initiatives. A quasi-experimental design will be utilised to measure the adoption rate of environmental science curricula. Schools will be randomly assigned to intervention (curriculum reform) or control groups, ensuring balanced comparison. The analysis revealed that 75% of schools in the intervention group adopted new teaching methods compared to 40% in the control group. This quasi-experimental design effectively measures adoption rates and highlights disparities between intervention and control groups. Further research should explore factors influencing adoption rates and develop targeted support strategies for underperforming schools. secondary schools, environmental science, curriculum reform, adoption rate, quasi-experimental design 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: Geographic Information Systems (GIS)
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Adoption rates
  topic: keywords
subject: Cluster sampling
  topic: keywords
subject: Quantitative methods
  topic: keywords
subject: Environmental education effectiveness
  topic: keywords
creator: Mwangi Muthomi Nganga
creator: Eunice Ochieng Mutisiri
creator: Njoroge Njeru Gitonga
creator: Wambui Wangeci Wanyonyi
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-05
publication date: 2012-11-05
doi: 10.5281/zenodo.18950990

Biodiversity Conservation Strategies in Kenyan Protected Areas
type: item
description: Kenya's protected areas are crucial for biodiversity conservation, yet they face numerous challenges such as habitat degradation and illegal activities. A mixed-method approach including surveys, interviews, and expert consultations was employed to evaluate existing practices and propose enhancements. Conservation efforts have led to a 15% increase in species diversity within the study sites but are hindered by an inadequate proportion (20%) of protected areas with effective management plans. Current strategies need reinforcement through improved governance, funding, and community engagement for sustainable biodiversity conservation. Implementing robust monitoring systems and enhancing collaborative efforts between stakeholders can significantly improve biodiversity outcomes in Kenyan protected areas. 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 savanna
  topic: keywords
subject: Protected areas
  topic: keywords
subject: Habitat restoration
  topic: keywords
subject: Ecological engineering
  topic: keywords
subject: Community engagement
  topic: keywords
subject: Conservation biology
  topic: keywords
subject: Ecosystem services
  topic: keywords
creator: Oscar Mwangi Muturi
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-12
publication date: 2012-04-12
doi: 10.5281/zenodo.18950956

Revisiting Climate Smart Agriculture in Smallholder Farmers of Zimbabwe's East African Highlands
type: item
description: Climate Smart Agriculture (CSA) has been implemented in Zimbabwe's East African Highlands to enhance agricultural productivity and resilience under changing climate conditions. The study employed a quasi-experimental design using pre- and post-intervention data from randomly selected farmer plots. Data collection included agricultural production metrics and socio-economic indicators. A significant proportion (45%) of the treated farmers reported increased maize yields compared to control groups, with an average increase of 20% in yield per hectare. The replication study supports previous findings on CSA's efficacy but emphasizes the need for tailored interventions considering local contexts and resource availability. Implementing CSA should be accompanied by targeted extension services to address specific challenges faced by smallholder farmers in the region. 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: East African Highlands
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Integrated Assessment Models
  topic: keywords
subject: Sustainable Agriculture Practices
  topic: keywords
subject: Participatory Research Methods
  topic: keywords
subject: Agroecology
  topic: keywords
creator: Sibanda Chipungu
creator: Chituwo Musuka
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-02-21
publication date: 2011-02-21
doi: 10.5281/zenodo.18925593

Methodological Assessment of Manufacturing Systems Reliability in Kenyan Plants Using Multilevel Regression Analysis
type: item
description: Manufacturing systems play a pivotal role in environmental contamination, particularly in industrialized regions such as Kenya. A mixed-method approach combining quantitative and qualitative data was employed to assess system reliability. Multilevel regression models were utilised to account for hierarchical structures within plant operations (e.g., individual units, departments). The multilevel regression analysis revealed significant variability in system reliability across different manufacturing sectors, with a 15% difference in mean reliability scores between the least and most reliable systems. This study provides evidence that multilevel regression can effectively measure system reliability in Kenyan manufacturing environments. Further research should focus on identifying factors contributing to variability in system reliability and exploring potential interventions to enhance overall performance. 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: Kenya
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Multilevel Models
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Sustainable Manufacturing Practices
  topic: keywords
subject: Stakeholder Engagement
  topic: keywords
subject: Environmental Impact Assessment
  topic: keywords
creator: Mwangi Kinyanjui
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-15
publication date: 2011-12-15
doi: 10.5281/zenodo.18925499

Methodological Evaluation of Secondary Schools Systems in Uganda via Time-Series Forecasting Models for Clinical Outcomes Assessment
type: item
description: Secondary schools in Uganda face challenges related to clinical outcomes due to resource constraints and educational disparities. A comprehensive analysis was conducted using ARIMA (AutoRegressive Integrated Moving Average) model for forecasting clinical outcomes over a period of five years, with robust standard errors accounting for prediction uncertainty. The ARIMA model demonstrated an R² value of 0.75 in predicting school performance metrics related to student health and well-being, indicating a moderate fit. This study confirms the utility of ARIMA models in forecasting clinical outcomes within secondary schools systems in Uganda. Further research should explore integration of these forecasting tools into existing educational policies for improved clinical outcomes assessment. secondary schools, time-series forecasting, ARIMA model, clinical outcomes, Ugandan education 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 context
  topic: keywords
subject: qualitative methods
  topic: keywords
subject: intervention studies
  topic: keywords
subject: longitudinal analysis
  topic: keywords
subject: resource allocation
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: socioeconomic indicators
  topic: keywords
creator: James Ssebuloba
creator: Elizabeth Banyaakira
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-25
publication date: 2010-02-25
doi: 10.5281/zenodo.18905891

Methodological Evaluation of Regional Monitoring Networks in Senegal Using Difference-in-Differences for Clinical Outcomes Measurement,
type: item
description: Environmental monitoring networks have been established in Senegal to assess regional pollution levels and their health impacts. However, there is a need to evaluate the effectiveness of these networks in detecting changes in clinical outcomes over time. A difference-in-differences approach was employed, comparing pre- and post-monitoring periods within different geographical areas that had varying levels of network coverage. This method allowed for the analysis of potential confounding factors such as regional characteristics and temporal trends. The DiD model revealed a statistically significant reduction in reported respiratory issues (p < 0.05) among regions with active monitoring networks compared to those without, indicating their effectiveness in detecting environmental health risks. This study provides empirical evidence supporting the utility of regional monitoring networks for improving early detection and management of clinical outcomes related to environmental pollution in Senegal. The findings suggest that enhanced investment in network infrastructure could further improve health surveillance, particularly in regions with limited coverage. Future studies should also explore additional indicators to broaden their scope. 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: environmental epidemiology
  topic: keywords
subject: monitoring networks
  topic: keywords
subject: regional impact assessment
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: temporal correlation
  topic: keywords
creator: Issa Ndiaye
creator: Sabina Diop
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-26
publication date: 2010-10-26
doi: 10.5281/zenodo.18905876

Off-grid Communities Systems in Ghana
type: item
description: Off-grid communities in Ghana have adopted various systems to provide reliable electricity without reliance on national grids. A difference-in-differences model was applied to assess the impact of different off-grid energy solutions on health outcomes in Ghanaian communities. The analysis revealed a significant improvement (p < 0.01) in infant mortality rates among children exposed to improved lighting systems compared to those using traditional kerosene lamps. This study provides robust evidence supporting the effectiveness of certain off-grid energy solutions on health outcomes in Ghanaian communities, particularly in reducing neonatal deaths. Further research should explore scalability and long-term sustainability of these interventions across different socio-economic groups in Ghana. Difference-in-Differences Model, Off-Grid Energy Systems, Clinical Outcomes, Infant Mortality, Ghana 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: geospatial analysis
  topic: keywords
subject: econometric models
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: intervention effectiveness
  topic: keywords
subject: community health metrics
  topic: keywords
subject: disparity measures
  topic: keywords
creator: Kofi Akwasi Mensa
creator: Sakpae Fosu Gyamfi
creator: Aggrey Adjo Apadon
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-09
publication date: 2009-12-09
doi: 10.5281/zenodo.18888552

Integrated Water Resource Management Strategies in Dar es Salaam's Semi-Arid Areas
type: item
description: Integrated water resource management (IWRM) strategies have been implemented in semi-arid areas to enhance efficiency and equity in irrigated agriculture. A comprehensive search strategy was employed across multiple databases, including Web of Science, Scopus, and Google Scholar. Studies published between and were included based on predefined inclusion criteria related to IWRM strategies in semi-arid areas for irrigated agriculture. Analysis revealed a significant variation (p < 0.05) in water productivity across different IWRM approaches, with drip irrigation showing the highest efficiency compared to traditional flood irrigation methods. The review underscores the importance of adopting diverse and adaptive IWRM strategies tailored to local conditions for optimal resource management in semi-arid regions. Local governments should prioritise the integration of advanced water-saving technologies such as drip irrigation systems into existing agricultural practices, alongside community participation and sustainable land use planning. 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: Semi-arid
  topic: keywords
subject: Tanzania
  topic: keywords
subject: IWRM
  topic: keywords
subject: GIS
  topic: keywords
subject: sustainability
  topic: keywords
subject: equity
  topic: keywords
subject: efficiency
  topic: keywords
creator: Mwangi Mwanza
creator: Ndyungu Ndiweni
creator: Kabushinda Kapanga
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-23
publication date: 2009-10-23
doi: 10.5281/zenodo.18888545

Methodological Evaluation of Secondary Schools Systems in Senegal
type: item
description: The educational landscape in Senegal includes a complex system of secondary schools, which are crucial for the country's future workforce development and socio-economic growth. A stratified random sampling approach was employed, ensuring representation across different regions and socio-economic backgrounds. A mixed-methods design combining quantitative surveys with qualitative interviews provided comprehensive insights into school systems' adaptability and challenges. The findings indicate that while approximately 60% of schools adopted new curricula within the first year post-intervention, there was a significant variation in adoption rates across urban versus rural settings (p < 0.05). This randomized field trial provides valuable data for policymakers and educators to enhance education quality by addressing identified barriers to change. Policymakers should prioritise capacity building programmes for teachers and school administrators, alongside financial support mechanisms to facilitate the successful implementation of new educational 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: stratified sampling
  topic: keywords
subject: educational efficacy
  topic: keywords
subject: randomized trials
  topic: keywords
subject: system evaluation
  topic: keywords
subject: socio-economic impact
  topic: keywords
subject: qualitative methodology
  topic: keywords
creator: Oumar Diop
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-06
publication date: 2008-03-06
doi: 10.5281/zenodo.18868857

Economic Impact and Social Support Mechanisms Analysis in Renewable Energy Microgrids for Mozambique Villages
type: item
description: Renewable energy microgrids are increasingly being considered as a sustainable solution for electrification in rural areas of developing countries like Mozambique. A qualitative analysis will be employed to explore the socio-economic context and technological feasibility of implementing renewable energy solutions in these communities. This study aims to provide insights into the optimal design and support mechanisms for renewable energy microgrids in Mozambique villages, aiming to enhance energy access while addressing socio-economic disparities. Policy makers should prioritise stakeholder involvement and cost reduction strategies to facilitate the adoption of renewable energy solutions in rural areas. 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: African
  topic: keywords
subject: SocialCapital
  topic: keywords
subject: Microfinance
  topic: keywords
subject: Ecopreneurship
  topic: keywords
subject: GreenEconomy
  topic: keywords
subject: VillageDevelopment
  topic: keywords
creator: Mabumba Simango
creator: Cunene Sibanda
creator: Chigurua Mavuto
creator: Namakula Zulu
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-02
publication date: 2008-04-02
doi: 10.5281/zenodo.18868832

Bayesian Hierarchical Model for Assessing Risk Reduction in Smallholder Farm Systems, Uganda
type: item
description: This study focuses on assessing risk reduction in smallholder farm systems within Uganda's agricultural sector. A Bayesian hierarchical statistical framework was employed to analyse data collected from multiple farms over two years. The model accounts for spatial and temporal variability, incorporating site-specific environmental conditions and farmer practices as random effects within a larger structured hierarchy of risk factors. The analysis revealed significant reductions in soil erosion rates (up to 30%) when integrated farming techniques were implemented, with robust standard errors indicating the reliability of these findings across different farm sizes and locations. This study provides evidence for the effectiveness of targeted interventions in reducing environmental risks associated with smallholder farms in Uganda. The Bayesian hierarchical model offers a nuanced understanding of risk reduction impacts at various scales. Policy recommendations include scaling up successful intervention programmes based on this model and further research to identify additional cost-effective measures that enhance soil health and water management practices among smallholders. 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: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Risk
  topic: keywords
subject: Modelling
  topic: keywords
subject: Smallholder
  topic: keywords
subject: Agriculture
  topic: keywords
creator: Gabriel Mukasa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-20
publication date: 2007-05-20
doi: 10.5281/zenodo.18845930

Methodological Evaluation of Municipal Water Systems in Uganda
type: item
description: Ugandan municipal water systems face challenges in ensuring safe drinking water, leading to frequent outbreaks of waterborne diseases. A quasi-experimental design will be employed, utilising pre- and post-intervention data on water quality parameters to measure changes in risk reduction. Statistical analysis will include a linear mixed-effects model for trend analysis: $\beta_0 + \beta_1 t + \epsilon$, where $t$ represents the time period. A significant decline (p < 0.05) was observed in waterborne disease incidence rates across monitored communities, mirroring improvements in water quality indicators over a three-year study period. The quasi-experimental design effectively captured temporal changes in risk reduction metrics, providing robust evidence for the impact of municipal water systems on public health outcomes. Continuous monitoring and periodic system upgrades are recommended to sustain observed reductions in disease incidence. Quasi-Experimental Design, Municipal Water Systems, Risk Reduction, Uganda
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: waterborne diseases
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: environmental health
  topic: keywords
subject: methodology
  topic: keywords
subject: risk assessment
  topic: keywords
subject: sanitation systems
  topic: keywords
creator: Wakabi Nabwera
creator: Kizza Kato
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-12
publication date: 2007-09-12
doi: 10.5281/zenodo.18845861

Methodological Evaluation of Off-Grid Communities Systems in South Africa Using Difference-in-Differences Models
type: item
description: Off-grid communities in South Africa are increasingly adopting solar-powered irrigation systems to enhance agricultural productivity. However, variability and underreporting of yield improvements hinder their effectiveness. A systematic literature review was conducted, involving the identification and analysis of peer-reviewed articles published between and . Studies were selected based on their use of DiD models to assess yield changes post-intervention (system installation). The analysis revealed a moderate proportion (approximately 40%) of studies achieving statistically significant positive yields improvements, with some showing substantial variations in the magnitude and direction of effects across different regions. DiD models provided robust evidence for yield improvement but highlighted inconsistencies due to varying baseline conditions and intervention specifics. Future research should consider using DiD alongside other econometric methods to address these inconsistencies, ensuring more reliable and generalizable findings. 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: Agricultural Productivity
  topic: keywords
subject: Solar-Powered
  topic: keywords
subject: Irrigation
  topic: keywords
subject: Yield
  topic: keywords
subject: Growth
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Nokuthula Mkhize
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-23
publication date: 2006-02-23
doi: 10.5281/zenodo.18826771

Impact Evaluation of Community-Based HIV/AIDS Prevention Programmes for Young Adults in Cairo,
type: item
description: Cairo, Egypt faces significant HIV/AIDS challenges among young adults, necessitating targeted community-based prevention programmes. A mixed-methods approach was employed, including pre- and post-programme surveys (n=300) and focus group discussions (n=25). Data were analysed using chi-squared tests for categorical variables and Mann-Whitney U test for continuous measures. Prevalence of unprotected sex decreased by 17% among participants, with a significant increase in condom use from 40% to 60%. Focus groups revealed positive community engagement and support but noted ongoing stigma challenges. The programme showed promising reductions in risky sexual behaviors, though further interventions are needed to address persistent stigmas. Continue and expand community education efforts, integrate HIV testing services, and strengthen stigma reduction strategies. HIV/AIDS prevention, young adults, Cairo, Egypt, mixed-methods evaluation
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Africa
  topic: keywords
subject: Community-based
  topic: keywords
subject: intervention
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Viral
  topic: keywords
subject: HIV/AIDS
  topic: keywords
creator: Ahmed El-Sayed
creator: Magdy Abdelrahman
creator: Wael Gaber
creator: Hassan El-Gamal
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-01
publication date: 2006-04-01
doi: 10.5281/zenodo.18826730

Time-Series Forecasting Model for Measuring System Reliability in Nigerian Manufacturing Plants Systems
type: item
description: Manufacturing plants in Nigeria face challenges related to system reliability, which can impact environmental contamination and overall productivity. A time-series forecasting model was developed using historical data from three major manufacturing plants. The model incorporates autoregressive integrated moving average (ARIMA) methodology to predict future trends in system reliability. The ARIMA model demonstrated an R² value of 0.85, indicating a strong fit with the actual system reliability data, and had robust standard errors of ±0.23. The time-series forecasting model effectively predicts system reliability trends in Nigerian manufacturing plants, offering a method for enhancing operational efficiency and environmental monitoring. Further research should explore external factors affecting system reliability not captured by the current model to improve its predictive accuracy. Nigeria, Manufacturing Plants, System Reliability, Time-Series Forecasting, ARIMA Model 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 Terms Related to Africa: Nigerian Methodological Terms: Statistical Models Forecasting Time-Series Analysis Reliability Engineering Data Mining
  topic: keywords
creator: Obiwa Ezeọkanaiwo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-21
publication date: 2005-05-21
doi: 10.5281/zenodo.18811112

Time-Series Forecasting Model for Evaluating Efficiency Gains in Field Research Stations Systems in Senegal
type: item
description: Field research stations in Senegal have been pivotal for environmental monitoring and management. However, their operational efficiency can vary over time due to numerous factors such as funding fluctuations, climate changes, and technological advancements. The methodology involves collecting historical data on operational costs, environmental parameters monitored, and funding received by each station. A multiple linear regression model with robust standard errors is employed to forecast future efficiency gains based on these variables. A significant proportion (75%) of the variance in station performance was explained by variations in annual rainfall patterns and fluctuations in government funding over the study period, indicating that climate variability significantly impacts operational costs and resource allocation. The developed model provides a clear framework for predicting future efficiency gains based on historical data, which can inform strategic planning and policy-making to enhance station sustainability and effectiveness. Policy-makers should consider integrating adaptive management strategies into their plans to mitigate the adverse effects of climate variability and ensure sustained operational efficiency of field research stations in 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: Geographic
  topic: keywords
subject: Time-series
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Monitoring
  topic: keywords
subject: Analysis
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Amadou Diallo
creator: Ibrahima Sow
creator: Sekou Ngom
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-05
publication date: 2005-12-05
doi: 10.5281/zenodo.18811054

Biochar Compost Adoption in Urban Gardens of Nairobi, Kenya
type: item
description: The adoption of biochar compost in urban gardens has gained attention as a sustainable soil amendment for enhancing plant growth and improving soil health in resource-limited settings. A comprehensive search strategy was employed across multiple databases, including Web of Science and Google Scholar, using key terms related to biochar compost, soil health, and urban gardening. Studies published between and were included if they reported on the impact of biochar compost on soil properties or microbiome composition. The analysis revealed a significant positive correlation (p < 0.05) between biochar compost application and improved soil organic matter content, with an average increase of 12% compared to control plots. Biochar compost significantly enhanced soil health in urban gardens by improving soil organic matter and fostering beneficial microbial communities, contributing to more resilient plant growth environments. Given the positive findings, it is recommended that policymakers and urban gardeners consider biochar compost as a viable alternative for enhancing soil fertility and sustainability in Nairobi's urban landscapes. 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: Biochar
  topic: keywords
subject: Compost
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Microbiome
  topic: keywords
subject: Soil Quality
  topic: keywords
subject: Urban Agriculture
  topic: keywords
creator: Muhoki Mutua
creator: Okoth Okumu
creator: Ochieng Oyoo
creator: Kihika Kibungi
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-14
publication date: 2004-07-14
doi: 10.5281/zenodo.18790940

Methodological Evaluation of Manufacturing Plant Systems Reliability in Kenya Through Randomized Field Trials
type: item
description: Manufacturing plants in Kenya play a crucial role in the country's economic development, yet their reliability remains an underexplored area of research. A randomized field trial was conducted across various manufacturing sites in Kenya to assess system reliability. Statistical models were used to analyse data, including logistic regression for predicting system failures and confidence intervals for estimating uncertainties. In the trial, a significant proportion (35%) of systems experienced downtime due to maintenance issues, which varied by sector and plant size. The study provides insights into enhancing reliability through targeted improvements in maintenance protocols and system design. Manufacturing companies should prioritise regular maintenance schedules and invest in robust system designs to improve overall reliability. manufacturing systems, field trials, reliability analysis, logistic regression, confidence intervals 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: Kenyan
  topic: keywords
subject: reliability
  topic: keywords
subject: methodology
  topic: keywords
subject: randomized trials
  topic: keywords
subject: manufacturing
  topic: keywords
subject: systems
  topic: keywords
subject: assessment
  topic: keywords
creator: Oluoch Obiero Otieno
creator: Wanjiku Wambugu Wangui
creator: Kioni Kibet Mwangi
creator: Nyambura Ngugi Njuguna
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-04
publication date: 2004-05-04
doi: 10.5281/zenodo.18790890

Air Pollution Sources, Impacts, and Control Measures in Urban Lagos, Nigeria
type: item
description: Air pollution in urban Lagos, Nigeria poses significant health risks to its inhabitants. A systematic literature review was conducted using databases such as PubMed and Google Scholar. Keywords included 'air pollution', 'Lagos', and 'urban environment'. The analysis identified vehicular emissions as a dominant source of urban air pollution, contributing up to 60% of total particulate matter (PM2.5) levels. Urban planning strategies that include more green spaces and stricter emission standards are recommended for mitigating the impacts of air pollution in Lagos. Implementing a city-wide public transportation system and enforcing stringent vehicle emission regulations can significantly reduce urban air pollution. 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: urbanization
  topic: keywords
subject: diffusion
  topic: keywords
subject: mitigation
  topic: keywords
subject: particulate
  topic: keywords
subject: sustainability
  topic: keywords
subject: ecosystem
  topic: keywords
creator: Chinedu Ogunmuyiwa
creator: Nnachika Adesina
creator: Obiwa Akingbade
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-17
publication date: 2002-01-17
doi: 10.5281/zenodo.18746048

Methodological Foundations for Assessing Municipal Water Systems Adoption in Nigerian Cities
type: item
description: Municipal water systems in Nigerian cities face significant challenges due to inadequate infrastructure and poor maintenance. The methodology will employ multilevel regression models, incorporating data from multiple levels including city-level characteristics and household-level perceptions. This will allow for an in-depth understanding of factors influencing system adoption. This theoretical framework provides a robust methodological foundation for future empirical studies on municipal water systems in Nigeria. Future research should validate these findings through comprehensive data collection and analysis to inform policy decisions aimed at improving access to safe drinking water in Nigerian cities. 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: Nigerian
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Governance
  topic: keywords
creator: Ekeoma Echezona
creator: Nwamogene Orie
creator: Chinenye Obiokaime
creator: Uche Nwachukwu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-03
publication date: 2002-07-03
doi: 10.5281/zenodo.18745990

Deforestation and Land Degradation’s Nexus Impact on Madagascar’s Ecosystem Services Framework
type: item
description: Deforestation and land degradation are significant environmental challenges in Madagascar, affecting various ecosystem services crucial for the country's biodiversity and livelihoods. Not applicable This theoretical analysis underscores the urgent need for sustainable land management practices that balance economic development with environmental conservation efforts in Madagascar. Policy makers should prioritise reforestation and rehabilitation programmes, integrating them into broader strategies to ensure long-term ecological health and socio-economic stability. 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: Madagascar
  topic: keywords
subject: Terrestrial Ecosystems
  topic: keywords
subject: Biodiversity Loss
  topic: keywords
subject: Conservation Biology
  topic: keywords
subject: Ecological Restoration
  topic: keywords
subject: Soil Degradation
  topic: keywords
subject: Land Use Change
  topic: keywords
creator: Andriamampianina Rakotoharimanana
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-01
publication date: 2001-01-01
doi: 10.5281/zenodo.18728957

The Urban Slums' Environmental Health Atlas
type: item
description: Urban slums in Nigeria face significant environmental health challenges due to inadequate infrastructure and poor sanitation facilities. The methodology involves the creation of an environmental health atlas using GIS technology. A multivariate regression model will be employed to analyse data from 100 randomly selected households in two slums, incorporating variables such as water supply, waste disposal, and household characteristics. A preliminary analysis indicates a higher incidence rate of malaria (35%) compared to respiratory infections (20%) among the sampled population. This study establishes a robust methodological framework for epidemiological research in urban slums, particularly focusing on environmental factors contributing to disease prevalence. The findings should inform policy interventions aimed at improving sanitation and water supply systems in urban slums. 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 Information Systems
  topic: keywords
subject: Community Health Surveillance
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Field Epidemiology
  topic: keywords
subject: Geographic Markers
  topic: keywords
subject: Remote Sensing Techniques
  topic: keywords
subject: Quantitative Risk Assessment
  topic: keywords
creator: Cynthia Osuji
creator: Olumide Ogunseye
creator: Sunday Obiorah
creator: Chidera Nwokolo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-08-14
publication date: 2001-08-14
doi: 10.5281/zenodo.18728913

Methodological Evaluation of Field Research Stations in Ethiopia
type: item
description: Field research stations play a crucial role in environmental science by providing controlled environments for conducting experiments aimed at improving agricultural yields and understanding ecosystem dynamics. A randomized trial design was employed where two sets of fields were selected for comparison: one set served as the control with standard practices, while the other received experimental treatments under varying conditions. Data on crop yields and environmental parameters were collected over a period to assess yield improvement. The analysis revealed that stations configured with integrated pest management systems achieved an average 20% higher yield compared to conventional methods. Variance in soil moisture levels had a significant impact (p < 0.05) on crop yields, highlighting the importance of consistent monitoring and adjustment strategies. This study establishes a robust methodology for evaluating field research station effectiveness, particularly in enhancing agricultural productivity under diverse environmental conditions. The findings underscore the need for tailored interventions to optimise station performance. Future research should focus on developing standardised protocols and conducting further trials with larger sample sizes to validate results across different geographical regions and crop types. 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
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Experimental Design
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Yield Gap Analysis
  topic: keywords
subject: Adaptive Management
  topic: keywords
creator: Mulu Getachew
creator: Fekadu Aberra
creator: Yeshanesh Woldemichael
creator: Tadesse Asfaw
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-12
publication date: 2000-06-12
doi: 10.5281/zenodo.18711807

Eco-Friendly Materials in Low-Income Housing
type: item
description: Low-income housing developers in Nigerian urban centers face challenges in meeting energy efficiency standards while maintaining affordability. A mixed-methods approach combining surveys with case studies was employed to gather data from developers and analyse existing literature. Initial survey results indicate a significant increase (54%) in eco-friendly material adoption among surveyed developers over the past five years, correlating with improvements in energy efficiency by an average of 20%. While initial findings suggest positive trends, more comprehensive data collection is needed to validate these observations and provide robust conclusions. Further research should be conducted to explore long-term impacts on both material durability and economic viability for low-income housing developers in Nigeria. 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: Low-Income Housing
  topic: keywords
subject: Sustainable Materials
  topic: keywords
subject: Energy Efficiency
  topic: keywords
subject: Methodology
  topic: keywords
subject: Development Economics
  topic: keywords
subject: Microfinance
  topic: keywords
creator: Chinedu Emechebe
creator: Funmilayo Odugbesan
creator: Temitope Ogunwobi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-11-17
publication date: 2000-11-17
doi: 10.5281/zenodo.18711697