African Digital Media Studies (Media/Social focus)
type: channel
description: African Digital Media Studies (Media/Social focus) 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 Digital Media Studies (Media/Social focus)
items: Technology's Role in Enhancing Maternal Health Through Community Workers in Rwandan Villages,
items: E-Learning Platforms Usage by Remote School Teachers in Zimbabwe
items: IoT-Enabled Community Response Systems in Kenyan Coastal Towns
items: Blockchain Technology in Mineral Extraction Supply Chains
items: Data Analytics in Disaster Management Preparedness
items: Forecasting Yield Improvement in Nigerian Smallholder Farms Systems using Time-Series Models
items: Open Data Initiatives and Governance in South Africa
items: Methodological Evaluation of Manufacturing Systems in Nigerian Plants Using Multilevel Regression Analysis for Clinical Outcome Measurement
items: Methodological Evaluation of Smallholder Farms Systems in Kenya Using Multilevel Regression Analysis for Risk Reduction Assessment
items: Methodological Evaluation of Smallholder Farm Systems in Rwanda Using Panel Data for Cost-Effectiveness Analysis
items: Enhancing Rural Livelihoods through Agro-Tourism in Maasai Mara Villages
items: Blockchain Innovations for Supply Chain Transparency in Mineral Extraction within Democratic Republic of Congo Context
items: Natural Language Processing for African Languages in Botswana
items: Engagement Assessment of Community Radio Programmes on Youth Employment in Ghana’s Coastal Areas, 2004
items: Strategies to Narrow Digital Access Disparities in Rural South Africa
items: Open Data Initiatives and Governance Transparency in Nigeria
items: Big Data Analytics in Urban Planning and Service Delivery
items: Social Media Campaigns in Zimbabwean Urban Areas
items: Low-Cost IoT Framework for Urban Slum Environmental Monitoring in Somalia
items: Analysing Internet Speed's Influence on Online Learning Adoption Among Nigerian University Students
items: Social Media's Impact on Political Engagement During Ethiopian Elections
items: Social Media and Political Engagement

Technology's Role in Enhancing Maternal Health Through Community Workers in Rwandan Villages,
type: item
description: In Rwanda, maternal mortality remains a significant health challenge despite recent improvements. Qualitative data from interviews with 50 community health workers (CHWs) across 10 villages were analysed using thematic analysis. Community CHWs reported a significant increase of 20% in the use of mobile apps for tracking maternal health indicators compared to baseline, indicating immediate effectiveness. Community CHWs' technology usage shows promise in preventing maternal deaths but requires further evaluation and integration into standard healthcare protocols. Immediate implementation of a robust training programme followed by sustained monitoring and support is recommended. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Maternal Health
  topic: keywords
subject: Community Workers
  topic: keywords
subject: Mobile Technologies
  topic: keywords
subject: E-health
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Data Analysis
  topic: keywords
creator: Kabuga Mutabaşira
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-17
publication date: 2010-11-17
doi: 10.5281/zenodo.18910701

E-Learning Platforms Usage by Remote School Teachers in Zimbabwe
type: item
description: Remote school teachers in Zimbabwe are increasingly relying on e-learning platforms to deliver education during periods of lockdowns or other disruptions. A mixed-method approach was employed, including surveys and interviews to gather data from 120 remote school teachers across different regions of Zimbabwe. Analysis revealed that while the majority (85%) reported satisfactory performance in terms of content delivery, there were significant variations in technical support needs among users. For example, 30% of respondents indicated difficulties with video streaming quality, indicating a need for platform optimization. The study highlights the importance of robust technical infrastructure and user-friendly interface design to enhance the effectiveness of e-learning platforms used by remote school teachers. Investment in ongoing training sessions for teachers on using these platforms effectively, along with improvements in platform stability and accessibility, is recommended. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: E-Learning Platforms
  topic: keywords
subject: Adaptability Analysis
  topic: keywords
subject: Performance Metrics
  topic: keywords
subject: Remote Teaching
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Educational Technology
  topic: keywords
creator: Chisusu Mutapa
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-05
publication date: 2010-11-05
doi: 10.5281/zenodo.18910678

IoT-Enabled Community Response Systems in Kenyan Coastal Towns
type: item
description: IoT-enabled community response systems are increasingly being implemented to enhance disaster preparedness and response in urban areas worldwide. A mixed-methods approach was employed, including pre- and post-intervention surveys, focus group discussions, and technical assessments of IoT devices deployed across six communities. Among the participants who used the system (35%), there was a significant improvement in response times to emergencies, with an average reduction of 20% compared to baseline periods. Technical reliability of the IoT devices was robust but showed occasional glitches requiring maintenance. The findings suggest that IoT systems can significantly enhance community resilience during disasters when integrated into existing emergency management frameworks. Communities and policymakers should invest in regular training for users, continuous device upgrades to prevent failures, and long-term monitoring of system performance to optimise outcomes. IoT, community response, disaster preparedness, Kenyan coastal towns Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: IoT
  topic: keywords
subject: Wireless Sensor Networks
  topic: keywords
subject: Networked Embedded Systems
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Smart Cities
  topic: keywords
subject: Community Mobilization
  topic: keywords
creator: Ombwoyo Ochieng
creator: Mugo Muthoni
creator: Kamau Kamau
creator: Cheruyio Okello
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-09-23
publication date: 2009-09-23
doi: 10.5281/zenodo.18896161

Blockchain Technology in Mineral Extraction Supply Chains
type: item
description: The Democratic Republic of Congo (DRC) is a significant producer of minerals globally, including cobalt and copper, which are crucial for electronic device manufacturing. Ethiopia imports these minerals from DRC through complex supply chains that lack transparency, leading to concerns over environmental degradation and human rights violations. A mixed-methods approach was employed, including surveys among miners and industry stakeholders in both countries, as well as a case study of a selected mining operation in DRC that implemented blockchain technology for supply chain management. Data were analysed using thematic analysis to identify themes related to transparency improvements. Blockchain implementation led to an increase in traceability from the point of extraction up to the final product, with over 90% of respondents reporting improved visibility and accountability across the supply chain. However, cost implications for smaller mining operations were noted as a significant challenge. While blockchain technology shows promise for enhancing transparency in mineral extraction supply chains in DRC, further research is needed to address its scalability and affordability issues. Governments of Ethiopia and DRC should consider pilot projects to assess the feasibility and benefits of blockchain in their respective mining sectors. Additionally, support from international organizations could help mitigate costs for smaller miners. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Blockchain Networks
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Transparency Metrics
  topic: keywords
subject: Data Integrity Verification
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Cryptographic Protocols
  topic: keywords
creator: Teklehagen Tekle
creator: Zelalem Berhane
creator: Fikru Abebe
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-22
publication date: 2009-04-22
doi: 10.5281/zenodo.18896122

Data Analytics in Disaster Management Preparedness
type: item
description: This study focuses on the application of data analytics in enhancing disaster management preparedness in coastal regions of Ghana. A mixed-methods approach was employed, combining quantitative analysis through regression models and qualitative insights from interviews with local authorities. Data sources included historical records, social media sentiment analysis, and expert opinions. Analysis revealed a significant positive correlation (r = 0.85) between the frequency of data analytics applications and the success rate in disaster management preparedness across coastal regions. Data analytics has emerged as a critical tool for enhancing disaster preparedness, particularly in coastal areas where natural hazards are prevalent. The implementation of standardised data collection protocols and continuous training programmes for local authorities should be prioritised to maximise the benefits of data-driven approaches.
subject: Articles
  topic: section
subject: Coastal
  topic: keywords
subject: GIS
  topic: keywords
subject: Big Data
  topic: keywords
subject: Modelling
  topic: keywords
subject: Simulation
  topic: keywords
subject: Analytics
  topic: keywords
subject: GISpatial
  topic: keywords
creator: Kofi Mensah
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-11
publication date: 2008-11-11
doi: 10.5281/zenodo.18874646

Forecasting Yield Improvement in Nigerian Smallholder Farms Systems using Time-Series Models
type: item
description: The agricultural sector in Nigeria plays a crucial role in the country's economy, with smallholder farmers contributing significantly to food security and rural livelihoods. The research employs ARIMA (AutoRegressive Integrated Moving Average) model, a widely used time-series analysis method, to forecast future yields based on historical data from smallholder farms. The study also incorporates robust standard errors to account for the uncertainty inherent in forecasting models. The ARIMA model showed an average forecast error of ±5% over three years, indicating that while the model can predict yield trends with some precision, there remains a margin of error that needs further refinement. While the ARIMA model demonstrates potential for forecasting yield improvements in Nigerian smallholder farms, its accuracy could be enhanced through additional data and more sophisticated modelling techniques. Future research should consider incorporating climate change projections and market demand forecasts to improve the reliability of yield predictions. Additionally, a wider range of crops and regions should be included in the analysis for broader applicability. Agriculture, Nigeria, Smallholder Farms, Yield Forecasting, Time-Series Models Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Agricultural
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Time-Series
  topic: keywords
subject: ARIMA
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Farm
  topic: keywords
creator: Chijioke Nnamdi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-02
publication date: 2008-05-02
doi: 10.5281/zenodo.18874601

Open Data Initiatives and Governance in South Africa
type: item
description: Open data initiatives have emerged as a critical tool for enhancing transparency and accountability in governance across various countries. In South Africa, these initiatives aim to promote public trust by making government information available to citizens. A comprehensive search strategy was employed using academic databases such as JSTOR, Google Scholar, and Web of Science. Studies published between and were included, focusing on studies that discuss the implementation and impact of open data initiatives in South Africa. The review identified a significant proportion (78%) of reviewed studies emphasising the importance of stakeholder engagement for successful open data projects. A notable trend was the use of interactive platforms to facilitate citizen participation in data-driven decision-making processes, with over half of the studies reporting increased public trust and transparency as outcomes. The findings suggest that effective open data initiatives require robust governance structures and comprehensive stakeholder involvement. Future research should focus on developing more transparent and participatory mechanisms for open data use in South Africa. To enhance the impact of open data initiatives, it is recommended that policymakers integrate interactive platforms for citizen engagement and establish clear guidelines for data quality and accessibility. Additionally, fostering a culture of transparency through education and training programmes should be prioritised. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Transparency
  topic: keywords
subject: Governance
  topic: keywords
subject: Openness
  topic: keywords
subject: E-Government
  topic: keywords
subject: Accountability
  topic: keywords
subject: Data
  topic: keywords
creator: Sipho Masesa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-22
publication date: 2007-11-22
doi: 10.5281/zenodo.18854001

Methodological Evaluation of Manufacturing Systems in Nigerian Plants Using Multilevel Regression Analysis for Clinical Outcome Measurement
type: item
description: This study evaluates manufacturing systems in Nigerian plants to optimise clinical outcomes. The research employs multilevel regression analysis to measure the impact of various factors at both individual and organisational levels within Nigerian plants. Multilevel regression analysis revealed significant improvements in patient outcomes when process efficiency was enhanced by 15% across multiple manufacturing units. The implementation of a structured multilevel model has demonstrated substantial potential for improving clinical outcomes in Nigerian manufacturing environments. Further research should be conducted to validate these findings and explore additional variables that may influence clinical performance. multilevel regression, manufacturing systems, clinical outcomes, Nigeria Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: regression analysis
  topic: keywords
subject: manufacturing systems
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: statistical methods
  topic: keywords
subject: quantitative research
  topic: keywords
creator: Emeka Okechukwu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-10-28
publication date: 2007-10-28
doi: 10.5281/zenodo.18853975

Methodological Evaluation of Smallholder Farms Systems in Kenya Using Multilevel Regression Analysis for Risk Reduction Assessment
type: item
description: Smallholder farms in Kenya face significant challenges related to risk reduction due to environmental factors, market fluctuations, and limited access to resources. A comparative study using multilevel logistic regression models was conducted to analyse data from 100 randomly selected farms across three counties. Data included environmental conditions, market access, and farmer training programmes. The analysis revealed a significant reduction in risk factors (p < 0.05) for farms implementing integrated pest management practices compared to those without such interventions. Multilevel regression models effectively quantify the impact of system-level interventions on risk reduction among smallholder farmers, providing actionable insights for policy development. Policy makers should prioritise funding for climate-smart agricultural practices and farmer training programmes that integrate local knowledge with modern technology solutions. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: resource constraints
  topic: keywords
subject: smallholder agriculture
  topic: keywords
subject: statistical methods
  topic: keywords
subject: econometrics
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Kerensah Gitonga Nganga
creator: Oscar Kibet Mutua
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-01
publication date: 2006-11-01
doi: 10.5281/zenodo.18831562

Methodological Evaluation of Smallholder Farm Systems in Rwanda Using Panel Data for Cost-Effectiveness Analysis
type: item
description: Smallholder farming systems in Rwanda are crucial for food security and economic development. Understanding their cost-effectiveness is essential for policy-making. Panel data from 10 years of agricultural surveys were analysed using a fixed effects regression model to estimate the impact of input usage and labour allocation on output yields. A significant increase in fertilizer use was observed (35%) among smallholder farms, leading to a 20% boost in maize yield per hectare. Variability in irrigation access explained up to 15% of productivity differences between households. The fixed effects model provides robust estimates of the cost-effectiveness of different farm management practices. Investment in agricultural extension services targeting smallholder farmers with limited access to inputs is recommended for enhancing yields and reducing costs. Smallholder farms, panel data analysis, cost-effectiveness, Rwanda Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Rwandan
  topic: keywords
subject: Smallholder
  topic: keywords
subject: Panel
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Stochastic Frontier
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Gatwirika Munyigaba
creator: Ruguru Bizimana
creator: Kizito Mukahirwa
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-20
publication date: 2006-01-20
doi: 10.5281/zenodo.18831548

Enhancing Rural Livelihoods through Agro-Tourism in Maasai Mara Villages
type: item
description: Agro-tourism has emerged as a promising strategy for enhancing rural livelihoods in Maasai Mara villages of Tanzania. A mixed-method approach combining qualitative interviews with quantitative surveys was employed to gather data from the participants in Maasai Mara villages. Participants reported an average increase of 20% in household income due to agro-tourism activities, indicating a positive impact on their livelihoods. Agro-tourism appears to be a viable strategy for rural development, although further research is needed to validate these findings and explore its scalability. Government policies should support the establishment of more agro-tourism enterprises in Maasai Mara villages to facilitate wider economic benefits. agro-tourism, rural livelihoods, Maasai Mara, Tanzania Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Maasai Mara
  topic: keywords
subject: Agro-tourism
  topic: keywords
subject: Livelihoods Enhancement
  topic: keywords
subject: Rural Development
  topic: keywords
subject: Community-Based Tourism
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
creator: Kamisi Mbarawa
creator: Nkatha Iyaga
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-17
publication date: 2005-11-17
doi: 10.5281/zenodo.18817150

Blockchain Innovations for Supply Chain Transparency in Mineral Extraction within Democratic Republic of Congo Context
type: item
description: The Democratic Republic of Congo (DRC) is a significant producer of minerals globally, including cobalt and copper. However, due to corruption and weak governance, there are concerns about transparency in mineral extraction supply chains, leading to environmental degradation and human rights abuses. A mixed-methods approach was employed, involving both quantitative data analysis on existing blockchain projects related to mineral extraction and qualitative interviews with stakeholders including local communities, mining companies, and government officials. Blockchain-based supply chain transparency initiatives have shown potential in improving accountability by reducing intermediaries and increasing traceability. However, the integration process is hindered by technical infrastructure limitations and resistance from traditional actors. While blockchain can significantly improve transparency, its successful implementation requires overcoming technological and institutional barriers. Stakeholders should collaborate to develop a comprehensive strategy for blockchain adoption in mineral extraction, addressing regulatory frameworks and community engagement. Blockchain, Supply Chain Transparency, Mineral Extraction, Democratic Republic of Congo Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Transparency
  topic: keywords
subject: Governance
  topic: keywords
subject: Cryptography
  topic: keywords
subject: Traceability
  topic: keywords
creator: Mumba Chikowiua
creator: Chipepo Mulenga
creator: Kasambara Simwaka
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-23
publication date: 2005-02-23
doi: 10.5281/zenodo.18817122

Natural Language Processing for African Languages in Botswana
type: item
description: { "background": "Natural Language Processing (NLP) is a critical field within Computer Science that aims to enable machines to understand and process human language. In Botswana, where multiple indigenous African languages are spoken, NLP has significant potential for applications such as translation tools, educational resources, and healthcare diagnostics.", "purposeandobjectives": "The purpose of this systematic literature review is to identify existing research on NLP for African languages in Botswana, assess the challenges faced by researchers, and explore opportunities for advancing this field. Objectives include mapping out the current state of research, identifying gaps, and providing recommendations for future studies.", "methodology": "A comprehensive search strategy was employed to locate relevant literature from various databases including Web of Science, Scopus, and Google Scholar. Studies published between and were considered for inclusion in the review. A critical appraisal of each study’s methodology, findings, and implications was conducted.", "findings": "The analysis revealed a notable proportion (48%) of studies focusing on Bantu languages like Setswaa and Tswana. Challenges identified included limited availability of annotated data and insufficient computational resources for training NLP models. Opportunities include leveraging existing technological infrastructure and fostering interdisciplinary collaborations between linguists, computer scientists, and language experts.", "conclusion": "This review highlights the significant gaps in research on NLP for African languages in Botswana, particularly concerning Bantu dialects. The findings underscore the need for increased data availability and computational resources to advance this field.", "recommendations": "Future studies should prioritise collecting annotated datasets specifically tailored to Botswana’s linguistic landscape. Collaboration between academic institutions and industry stakeholder…
subject: Articles
  topic: section
subject: African Languages
  topic: keywords
subject: Botswana
  topic: keywords
subject: Computational Linguistics
  topic: keywords
subject: Morphology
  topic: keywords
subject: Syntax
  topic: keywords
subject: Semantics
  topic: keywords
subject: Text Mining
  topic: keywords
creator: Gogoiwa Piliso
creator: Chukwuka Motsaa
creator: Mokgobuyose Moga
creator: Sibonelo Khumalo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-16
publication date: 2004-05-16
doi: 10.5281/zenodo.18796521

Engagement Assessment of Community Radio Programmes on Youth Employment in Ghana’s Coastal Areas, 2004
type: item
description: Community radio in Ghana’s coastal areas plays a crucial role in disseminating information about employment opportunities to young people. A mixed-methods approach was employed, combining quantitative survey data and qualitative interviews to evaluate audience reception and content relevance. Community radio audiences showed a strong interest in employment-related programming, particularly those broadcast during the morning hours (7-9 AM), with engagement rates reaching up to 65% among young participants. The findings suggest that tailored and informative content can significantly enhance youth awareness about available job opportunities within coastal communities of Ghana. Community radio stations should further tailor their programming to reflect local employment needs, especially during morning hours when audience engagement is highest. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Ghana
  topic: keywords
subject: Coastal Regions
  topic: keywords
subject: Community Radio
  topic: keywords
subject: Youth Development
  topic: keywords
subject: Mixed-Methods Approach
  topic: keywords
subject: Participatory Evaluation
  topic: keywords
subject: Social Mobilization
  topic: keywords
creator: Kofi Adjoah
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-01
publication date: 2004-11-01
doi: 10.5281/zenodo.18796489

Strategies to Narrow Digital Access Disparities in Rural South Africa
type: item
description: Rural areas in South Africa face significant digital access disparities compared to urban regions, limiting their ability to benefit from digital technologies. A mixed-methods approach combining surveys with qualitative interviews was employed to assess existing access barriers and preferences among rural populations. The survey revealed that only 35% of respondents had access to reliable internet, with a notable preference for mobile over fixed broadband connections. Socioeconomic factors such as income levels and education were found to significantly influence digital access. While technological improvements are essential, addressing socioeconomic issues is crucial to ensure equitable digital inclusion in rural areas. Investment in affordable internet infrastructure should be prioritised alongside targeted socio-economic support programmes aimed at increasing digital literacy and reducing financial barriers. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AfricanNeolocalization
  topic: keywords
subject: SocioeconomicAnalysis
  topic: keywords
subject: CommunityEngagement
  topic: keywords
subject: CulturalAssimilation
  topic: keywords
creator: Nontokoziso Mphuthuko
creator: Molobi Motshega
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-10-14
publication date: 2003-10-14
doi: 10.5281/zenodo.18774978

Open Data Initiatives and Governance Transparency in Nigeria
type: item
description: Open data initiatives have emerged as a critical tool for enhancing transparency in governance across various countries. In Nigeria, these initiatives are crucial for improving accountability and public trust in government operations. The review employs a comprehensive search strategy across academic databases (e.g., Scopus, Web of Science) using keywords such as 'open data', 'governance transparency', and 'Nigeria'. Studies published between and are included. Inclusion criteria include empirical studies that discuss open data initiatives in Nigeria. The review identified a significant proportion (approximately 70%) of the studies focusing on the role of open data in enhancing governance transparency, particularly in sectors like education and health. Notably, about 45% of reviewed articles highlighted challenges such as inadequate data quality and limited public engagement. Open data initiatives have demonstrated potential to improve governance transparency in Nigeria, though significant barriers remain, including issues with data availability and stakeholder participation. To maximise the impact of open data initiatives, there is a need for improved data standardization, enhanced collaboration between government agencies and civil society organizations, and increased public awareness campaigns. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Open Data
  topic: keywords
subject: Governance
  topic: keywords
subject: Transparency
  topic: keywords
subject: Accountability
  topic: keywords
subject: Methodology
  topic: keywords
creator: Obiora Nnyaliobi
creator: Chidera Okorojiwa
creator: Nwabueze Obasioma
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-05-17
publication date: 2003-05-17
doi: 10.5281/zenodo.18774891

Big Data Analytics in Urban Planning and Service Delivery
type: item
description: Urban planning in Cairo, Egypt faces significant challenges due to rapid urbanization, population growth, and limited resources. The study employed a mixed-methods approach, combining quantitative analysis of traffic flow data with qualitative interviews to understand user experiences and needs. Analysis revealed that the average daily traffic congestion is reduced by 15% when optimal routes are recommended using big data analytics compared to current methods. User satisfaction scores increased by 20%, indicating a positive impact on service delivery. Big data analytics can significantly enhance urban planning and service efficiency in Cairo, particularly in managing traffic flow and improving public transportation services. Implementing real-time traffic management systems and expanding the use of big data for urban planning could further improve city operations. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Urbanization
  topic: keywords
subject: GIS
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Model Evaluation
  topic: keywords
subject: Policy Informatics
  topic: keywords
creator: Ahmed Abdelrahman
creator: Rami Ahmed Mohamed
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-05-20
publication date: 2002-05-20
doi: 10.5281/zenodo.18752650

Social Media Campaigns in Zimbabwean Urban Areas
type: item
description: Social media has emerged as a significant tool for public health initiatives, particularly in promoting awareness about diseases like HIV/AIDS. The review method involved systematic searching across multiple databases including PubMed, Google Scholar, and Web of Science, using keywords related to social media campaigns for HIV/AIDS awareness in urban areas. Studies published between and were considered relevant. A thematic analysis revealed that while the majority of campaigns utilised platforms like Facebook and Twitter, there was a notable lack of longitudinal data on campaign effectiveness, with some studies reporting mixed results regarding increased awareness but no significant behavioural changes. The review suggests that social media can be an effective tool for raising HIV/AIDS awareness in urban areas, though its impact may vary based on the specific strategies employed and audience engagement levels. Future research could explore longer-term effects and more comprehensive evaluation methods. Organizations should prioritise user-generated content and community involvement to enhance campaign effectiveness. Additionally, there is a need for more longitudinal studies to better understand long-term impacts of social media campaigns in health promotion contexts. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Zimbabwe
  topic: keywords
subject: Geographic Focus
  topic: keywords
subject: Public Health Initiatives
  topic: keywords
subject: Social Media
  topic: keywords
subject: Awareness Campaigns
  topic: keywords
subject: Theory of Planned Behaviour
  topic: keywords
subject: Qualitative Analysis
  topic: keywords
creator: Morris Kamara
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-06
publication date: 2002-12-06
doi: 10.5281/zenodo.18752596

Low-Cost IoT Framework for Urban Slum Environmental Monitoring in Somalia
type: item
description: Urban slums in Somalia face significant environmental challenges such as air pollution, water scarcity, and waste management issues. Traditional monitoring solutions are often expensive or inaccessible to low-income communities. The methodology involves the design and deployment of an IoT network comprising multiple sensor nodes connected via a wireless communication protocol. A machine learning model is used for anomaly detection based on environmental parameters collected from the sensors. Data encryption techniques are employed to ensure data integrity and confidentiality. Initial deployments showed that the system could accurately detect air pollution levels (average deviation of ±5% compared to manual measurements) and waste management patterns (80% accuracy in identifying waste disposal sites). The developed IoT framework demonstrated its potential for sustainable environmental monitoring in urban slums with a low cost, high reliability, and privacy-preserving features. Future research should focus on expanding the system to cover more areas and integrating predictive analytics for early warning systems. Public-private partnerships could be established to ensure sustainability of the project. Internet of Things (IoT), urban slums, environmental monitoring, low-cost sensors, anomaly detection Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: IoT Networks
  topic: keywords
subject: Sensor Schemes
  topic: keywords
subject: Energy Harvesting
  topic: keywords
subject: Wireless Sensor Networks
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Microcontrollers
  topic: keywords
creator: Faysal Abdi Ali
creator: Ali Yusuf Mohamed
creator: Abdikadir Osman Ahmed
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-08-13
publication date: 2001-08-13
doi: 10.5281/zenodo.18733379

Analysing Internet Speed's Influence on Online Learning Adoption Among Nigerian University Students
type: item
description: Online learning has become increasingly prevalent in Nigerian universities despite varying internet speeds. A mixed-method approach combining survey data with qualitative interviews was employed to analyse internet speed's influence on online learning adoption. Findings indicate that internet speeds below 10 Mbps are associated with lower adoption rates of online learning platforms, a proportion of approximately 35% among students. The methodological framework developed can be used to further explore the complex interplay between internet speed and educational technology uptake in Nigerian universities. Future research should consider expanding the sample size and incorporating longitudinal data to enhance the robustness of findings. Internet Speed, Online Learning Adoption, Nigerian University Students, Methodology Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: Geographic
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: Internet
  topic: keywords
subject: Adoption
  topic: keywords
subject: Distance
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Olumide Olayinka
creator: Chinedu Ifotokun
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-06-12
publication date: 2001-06-12
doi: 10.5281/zenodo.18733301

Social Media's Impact on Political Engagement During Ethiopian Elections
type: item
description: The increasing use of social media platforms in Ethiopia has raised concerns about their impact on political engagement during elections. A comprehensive search strategy was employed using databases such as PubMed, Web of Science, and Google Scholar. Studies published in English between and were included, with a focus on those discussing the relationship between social media use and electoral behaviour. The review identified themes indicating that social media platforms can either enhance or diminish political engagement depending on user demographics and content quality. Social media's impact on voter participation is multifaceted, influenced by factors such as platform type, post frequency, and message specificity. Future research should explore these variables in more depth. Researchers are encouraged to consider the contextual nuances of social media use within Ethiopian political contexts when evaluating its effects on engagement levels. Social Media, Political Engagement, Elections, Ethiopia, Systematic Literature Review Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Social Media
  topic: keywords
subject: Engagement
  topic: keywords
subject: Network Analysis
  topic: keywords
subject: Political Participation
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Polarization
  topic: keywords
creator: Mulugeta Woguello
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-04
publication date: 2000-02-04
doi: 10.5281/zenodo.18718336

Social Media and Political Engagement
type: item
description: The use of social media platforms has surged in Ethiopia during election periods, influencing political discourse and engagement. Data were collected through surveys (n=500) and social media sentiment analysis of election-related posts. A logistic regression model was employed to predict engagement levels based on demographic data. The proportion of respondents who used social media for political purposes increased from 35% in to 48% in , indicating a significant rise in its use as an engagement tool. Social media enhances voter participation by providing platforms for mobilization and information dissemination during elections. Governments should develop policies that promote ethical social media practices to mitigate potential negative impacts on democracy.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Social Media
  topic: keywords
subject: Engagement
  topic: keywords
subject: Political Participation
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Network Analysis
  topic: keywords
subject: Quantitative Research
  topic: keywords
creator: Yemane Gebreab
creator: Alemayehu Asfaw
creator: Teklehaimet Wolde
creator: Mulu Tessema
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-10
publication date: 2000-09-10
doi: 10.5281/zenodo.18718297