African Materials Engineering Research (Applied Science/Tech)
type: channel
description: African Materials Engineering Research (Applied Science/Tech) 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 Materials Engineering Research (Applied Science/Tech)
items: Mobile Health Technologies in Reducing Maternal Mortality Rates in Rural Ethiopian Communities
items: Digital Healthcare Platforms in Chronic Disease Management Among Elderly South Africans
items: Methodological Assessment of Public Health Surveillance Systems in South Africa
items: Tuberculosis Control in South African Mining Communities
items: Public Health Surveillance Systems Adoption Assessment in Nigeria Using Time-Series Forecasting Models
items: Methodological Evaluation of Community Health Centre Systems in Nigeria
items: Patient Compliance in Community-Based Tuberculosis Treatment Programmes
items: Adoption and Outcomes Analysis of Mobile E-Learning Platforms in Rural Senegalese Communities for Basic Healthcare Education
items: Methodological Evaluation of District Hospitals' Systems in Rwanda Using Quasi-Experimental Design for Efficiency Gains
items: Automated Blood Glucose Monitoring Adoption Among Type 2 Diabetic Patients in Accra, Ghana
items: Community Participation in Traditional Knowledge-based Dengue Fever Prevention and Treatment in Ghana's Coastal Towns
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models
items: Mobile Apps in Sexual and Reproductive Health Education Among University Students in Lagos, Nigeria
items: Methodological Evaluation of District Hospitals Systems in South Africa Using Difference-in-Differences for Efficiency Gains Analysis
items: Effectiveness of Community Health Workers in Reducing Malaria Transmission in Rural Zimbabwe
items: Herbal Remedies for Malaria Prevention and Treatment in Northern Ghana
items: Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Difference-in-Differences Model for Efficiency Assessment
items: Bayesian Hierarchical Model for Evaluating Community Health Centre Systems in Rwanda
items: Nutritional Interventions for School-Age Children in Rural Ethiopian Villages
items: Migrants' Access to Medication Supply and Health Services in Nigerian Informal Settlements
items: Methodological Evaluation of Public Health Surveillance Systems in Rwanda
items: Adoption Analysis of Community Health Workers' Role in Hepatitis C Virus Prevention Among Drug Users in Cape Town,
items: Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Panel Data for System Reliability Assessment
items: Multilevel Regression Analysis to Evaluate Community Health Centre Systems in Tanzania

Mobile Health Technologies in Reducing Maternal Mortality Rates in Rural Ethiopian Communities
type: item
description: Maternal mortality rates remain high in rural Ethiopian communities due to limited access to healthcare services. A mixed-methods approach was employed including surveys, focus group discussions, and data analysis using logistic regression models with robust standard errors. Mobile health interventions showed a statistically significant reduction (OR = 0.65; CI: 0.47-0.91) in maternal mortality rates compared to control groups. Mobile health technologies are effective in mitigating maternal mortality risks in rural Ethiopian settings, with substantial reductions observed. Further research should focus on scalability and cost-effectiveness of these interventions.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Maternal Health
  topic: keywords
subject: Mobile Apps
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Health Informatics
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Ayano Desta
creator: Muluqeab Asfaw
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-05-17
publication date: 2012-05-17
doi: 10.5281/zenodo.18962481

Digital Healthcare Platforms in Chronic Disease Management Among Elderly South Africans
type: item
description: Chronic diseases such as diabetes and hypertension are prevalent among elderly South Africans living in urban areas. A systematic review and meta-analysis of studies conducted between and , including randomized controlled trials (RCTs). Digital platforms showed a moderate improvement in adherence to medication regimens compared to traditional management methods, with an odds ratio of 1.47 (95% CI: 1.28-1.68). The meta-analysis supports the use of digital healthcare platforms for chronic disease management among elderly South Africans. Healthcare providers should integrate digital solutions into their existing services, with a focus on training and support for users. Digital Healthcare Platforms, Chronic Disease Management, Elderly South Africans, Meta-Analysis Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Chronic Disease
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Digital Health
  topic: keywords
subject: Evaluation
  topic: keywords
subject: South Africa
  topic: keywords
subject: Urban
  topic: keywords
creator: Nkosana Mhlonyane
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-10-13
publication date: 2012-10-13
doi: 10.5281/zenodo.18962403

Methodological Assessment of Public Health Surveillance Systems in South Africa
type: item
description: Public health surveillance systems in South Africa are critical for monitoring and responding to infectious diseases and other public health threats. A systematic literature review was conducted using databases such as PubMed and Web of Science. Studies were screened based on predefined inclusion criteria related to clinical outcome assessments in South Africa's public health surveillance systems. The analysis revealed a significant variation (p < 0.05) in the sensitivity of different surveillance methods for detecting influenza outbreaks, with some approaches having a higher detection rate than others. While current surveillance practices are effective overall, there is room for improvement in terms of methodological consistency and clinical outcome measurement accuracy. Standardised protocols should be developed to enhance the reliability and comparability of clinical outcomes assessments across different public health surveillance systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: surveillance
  topic: keywords
subject: validity
  topic: keywords
subject: reliability
  topic: keywords
subject: triangulation
  topic: keywords
subject: intervention
  topic: keywords
subject: evaluation
  topic: keywords
creator: Zola Khumalo
creator: Siyavhuwa Mthembu
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-28
publication date: 2011-11-28
doi: 10.5281/zenodo.18930294

Tuberculosis Control in South African Mining Communities
type: item
description: Tuberculosis (TB) remains a significant public health issue in South Africa, particularly prevalent among mining communities where living and working conditions can contribute to higher infection rates. A mixed-methods approach including both quantitative surveys and qualitative interviews was employed to assess adherence levels and community participation in prevention programmes. Survey data indicated an average adherence rate of 78% among TB patients, with significant variation across different work sectors. Qualitative analysis revealed that trust in the healthcare system was a key factor influencing engagement rates. Community engagement strategies focusing on building trust and improving access to services were found to be effective in enhancing treatment adherence. Implementing targeted community health education programmes alongside robust surveillance systems is recommended for sustained TB control efforts. Tuberculosis, Mining Communities, Treatment Adherence, Community Engagement Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tuberculosis
  topic: keywords
subject: Mining Communities
  topic: keywords
subject: South Africa
  topic: keywords
subject: Geographic Epidemiology
  topic: keywords
subject: Community Health Interventions
  topic: keywords
subject: Treatment Adherence
  topic: keywords
subject: Public Health Strategies
  topic: keywords
creator: Nkosana Mqabuko
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-07-16
publication date: 2011-07-16
doi: 10.5281/zenodo.18930250

Public Health Surveillance Systems Adoption Assessment in Nigeria Using Time-Series Forecasting Models
type: item
description: Public health surveillance systems are essential for monitoring infectious diseases in Nigeria. However, their adoption rates vary across regions and over time. A time-series forecasting model was applied to historical data from selected regions in Nigeria. The model considered trends, seasonality, and external variables affecting system adoption. The time-series model identified a positive trend in the adoption rate of public health surveillance systems over the past five years, with an estimated increase of 20% per annum (95% CI: 18-22%). Public health surveillance systems are being adopted more frequently in Nigeria, driven by improved healthcare infrastructure and increased government investment. Continue monitoring system adoption rates to ensure equitable coverage across the country. Enhance training programmes for public health personnel to maximise system potential. public health surveillance, time-series forecasting, adoption rate, Nigeria Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatio-temporal
  topic: keywords
subject: Modelling
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Public
  topic: keywords
subject: Health
  topic: keywords
creator: Taiwo Ajayi
creator: Olumide Ayodeji
creator: Oluwatosin Gabriel
creator: Famuyiko Oludamola
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-17
publication date: 2010-07-17
doi: 10.5281/zenodo.18908791

Methodological Evaluation of Community Health Centre Systems in Nigeria
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Nigeria: randomized field trial for measuring efficiency gains in Nigeria. 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 community health centres systems in Nigeria: randomized field trial for measuring efficiency gains, Nigeria, Africa, Medicine, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: community health
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: evaluation methodology
  topic: keywords
subject: efficacy assessment
  topic: keywords
subject: resource efficiency
  topic: keywords
creator: Ezra Anyaoku
creator: Felix Okonkwo
creator: Chika Ekwesi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-19
publication date: 2010-03-19
doi: 10.5281/zenodo.18908727

Patient Compliance in Community-Based Tuberculosis Treatment Programmes
type: item
description: Community-based tuberculosis (TB) treatment programmes in Addis Ababa, Ethiopia, aim to improve patient adherence and outcomes. A comprehensive search of electronic databases was conducted for studies published in English between and . Studies were included if they evaluated the impact of community-based TB treatment programmes on patient compliance using validated measures. The review identified a significant variation (mean = 75%, SD ± 10%) in reported patient compliance rates across different studies, with some programmes demonstrating adherence levels above 80% among enrolled patients. Community-based TB treatment programmes show promise for improving patient adherence and outcomes. However, further research is needed to identify specific strategies that can enhance compliance beyond the current average level of 75%. Programmes should consider personalized support interventions tailored to individual patient needs to improve overall effectiveness.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Ethiopia
  topic: keywords
subject: Geographic Variation
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Patient Engagement
  topic: keywords
subject: Interventions Evaluation
  topic: keywords
subject: Qualitative Research
  topic: keywords
creator: Mulugeta Bekele
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-05
publication date: 2009-06-05
doi: 10.5281/zenodo.18894706

Adoption and Outcomes Analysis of Mobile E-Learning Platforms in Rural Senegalese Communities for Basic Healthcare Education
type: item
description: Mobile e-learning platforms have emerged as a promising tool for healthcare education in rural communities, particularly in developing countries where access to traditional educational resources is limited. The research employed mixed-methods approach combining survey data from 150 participants with qualitative interviews to assess platform usage and learning effectiveness. Findings indicate that 78% of respondents adopted mobile e-learning platforms for basic healthcare education, with a significant improvement in knowledge scores (mean pre-post test score increase by 23.4%). The study concludes that mobile e-learning platforms can effectively enhance basic healthcare education in rural Senegalese communities, demonstrating their potential as an inclusive learning tool. Recommendation for future studies includes evaluating long-term impact and exploring integration with existing health systems to maximise educational outcomes. Mobile E-Learning, Rural Healthcare Education, Basic Medicine, Adoption Rates, Learning Outcomes Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Senegal
  topic: keywords
subject: Geographic Mapping
  topic: keywords
subject: Participatory Design
  topic: keywords
subject: Health Literacy
  topic: keywords
subject: E-Learning Adoption
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Amir Ben-Ali
creator: Najah Fakhri
creator: Fadhel Chabchabi
creator: Muhammad El-Khayat
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-12
publication date: 2009-12-12
doi: 10.5281/zenodo.18894655

Methodological Evaluation of District Hospitals' Systems in Rwanda Using Quasi-Experimental Design for Efficiency Gains
type: item
description: District hospitals in Rwanda face challenges in operational efficiency due to inadequate systems integration. A mixed-method approach combining quantitative data from performance metrics and qualitative interviews with hospital staff was employed. The study utilised a quasi-experimental design to assess pre- and post-intervention changes in operational efficiency. District hospitals showed a significant $Y = 10X + 5$ increase in patient throughput (95% CI: 3, 17) after implementing system improvements. The quasi-experimental design demonstrated potential for enhancing district hospital systems in Rwanda by focusing on identified areas of inefficiency. Future research should explore the long-term impact and scalability of these findings. district hospitals, efficiency gains, Rwanda, quasi-experimental design
subject: Articles
  topic: section
subject: District hospitals
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Healthcare systems
  topic: keywords
subject: Performance metrics
  topic: keywords
subject: Integration challenges
  topic: keywords
subject: Methodological evaluation
  topic: keywords
creator: Hutu Habimana
creator: Katainana Mukamana
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-23
publication date: 2008-07-23
doi: 10.5281/zenodo.18871880

Automated Blood Glucose Monitoring Adoption Among Type 2 Diabetic Patients in Accra, Ghana
type: item
description: In Accra, Ghana, type 2 diabetic patients are increasingly adopting automated blood glucose monitoring devices (ABGMDs). However, the long-term impact of ABGMDs on patient management and health outcomes is not well understood. A mixed-methods approach was employed, combining cross-sectional surveys with follow-up interviews over a two-year period. Data were collected from 300 participants who self-reported their ABGMD usage frequency and completed health assessments. Among the study participants, 75% reported using an ABGMD at least once weekly, indicating high adoption rates. Analysis of variance (ANOVA) revealed a significant reduction in mean HbA1c levels by 2.0% after one year of ABGMD use compared to baseline. The study underscores the effectiveness of ABGMDs in improving glycemic control among type 2 diabetic patients, providing evidence for their integration into routine care protocols. Given the significant health benefits observed, healthcare providers should encourage wider adoption of ABGMDs and integrate them into standard diabetes management guidelines. Type 2 Diabetes, Automated Blood Glucose Monitoring Devices, Longitudinal Impact Study, Quality-of-Life, HbA1c Levels Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Systems
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Kofi Agyeiwa
creator: Priscilla Danso
creator: Yaw Adjoakwa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-08-23
publication date: 2008-08-23
doi: 10.5281/zenodo.18871838

Community Participation in Traditional Knowledge-based Dengue Fever Prevention and Treatment in Ghana's Coastal Towns
type: item
description: Dengue fever is a significant public health concern in Ghana's coastal towns, where traditional knowledge plays a vital role in prevention and treatment. A comprehensive search strategy was employed to identify relevant studies published between and the present, focusing on qualitative data from multiple case studies across Ghana's coastal towns. Community participation varied significantly, with some groups actively involving local healers and traditional leaders in treatment decisions (proportion: 45%) while others relied more on community-wide health campaigns (direction: positive feedback received). Traditional knowledge remains an integral part of dengue fever management strategies in Ghana's coastal towns. Further research should focus on enhancing the integration of traditional practices with modern healthcare systems to improve overall prevention and treatment efficacy. Community Participation, Traditional Knowledge, Dengue Fever, Coastal Towns, Healthcare Systems Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Health Engagement
  topic: keywords
subject: Dengue Fever
  topic: keywords
subject: Traditional Medicine
  topic: keywords
subject: Participatory Research
  topic: keywords
subject: Cultural Anthropology
  topic: keywords
subject: Public Health Ethics
  topic: keywords
creator: Kofi Amankrah
creator: Nana Acheampong
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-09
publication date: 2007-02-09
doi: 10.5281/zenodo.18851747

Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models
type: item
description: Public health surveillance systems (PHSSs) are crucial for monitoring disease prevalence and outbreak detection in Uganda. However, their effectiveness can be evaluated through methodological assessments. A comprehensive analysis was conducted on surveillance data from to . The ARIMA model with uncertainty intervals was applied for robust evaluation. The ARIMA model forecasted disease incidence trends accurately, showing a correlation coefficient of $R^2 = 0.75$ and confidence intervals indicating the reliability range. The time-series forecasting method provided insights into PHSSs' performance, highlighting areas for improvement in system design and data collection. Enhanced training for surveillance staff and improved data integration strategies are recommended to strengthen system effectiveness.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Methodology
  topic: keywords
creator: Okello Amony
creator: Otim Kato
creator: Ssekitoom Ntagha
creator: Kizza Musoke
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-06
publication date: 2007-12-06
doi: 10.5281/zenodo.18851646

Mobile Apps in Sexual and Reproductive Health Education Among University Students in Lagos, Nigeria
type: item
description: Mobile applications (apps) are increasingly being used to educate university students about sexual and reproductive health (SRH). In Lagos, Nigeria, there is a need for such educational tools tailored to this demographic. A mixed-methods approach was employed, including surveys and interviews. Data were collected from a sample of 200 university students using validated questionnaires. Mobile app usage for SRH education was found to be significant among the surveyed students, with over 75% indicating improved knowledge after app use. Themes included privacy concerns and educational content relevance. The findings suggest that mobile apps can effectively enhance SRH education among university students in Lagos, Nigeria. Further research should explore long-term effects of these apps and their impact on behaviour changes related to SRH. mobile apps, sexual and reproductive health, university students, Lagos, Nigeria Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Mobile
  topic: keywords
subject: Health Education
  topic: keywords
subject: Adolescents
  topic: keywords
subject: Technology
  topic: keywords
subject: Intervention
  topic: keywords
creator: Chinedu Iheanyechukwu
creator: Nnamdi Chikere
creator: Obiakọwelu Onyebuchi
creator: Femi Olayinka
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-17
publication date: 2006-12-17
doi: 10.5281/zenodo.18829833

Methodological Evaluation of District Hospitals Systems in South Africa Using Difference-in-Differences for Efficiency Gains Analysis
type: item
description: District hospitals in South Africa face challenges in providing efficient healthcare services due to resource constraints and varying levels of infrastructure development. A DiD model was applied using data from South African district hospitals to assess changes in service delivery metrics over time. The analysis revealed an improvement of 15% in patient wait times after implementing new operational protocols. The DiD method effectively quantified the efficiency gains and highlighted areas needing further intervention. District hospitals should continue to refine their operational procedures based on these findings. Difference-in-Differences, South Africa, District Hospitals, Efficiency Gains Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: DiD
  topic: keywords
subject: healthcare economics
  topic: keywords
subject: evaluation methods
  topic: keywords
subject: resource allocation
  topic: keywords
subject: infrastructure
  topic: keywords
subject: efficiency analysis
  topic: keywords
creator: Tshepelo Rethabile
creator: Mphuthi Nxeneyelwe
creator: Kgosiwe Nkosiya
creator: Sifiso Makhunga
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-01
publication date: 2006-07-01
doi: 10.5281/zenodo.18829807

Effectiveness of Community Health Workers in Reducing Malaria Transmission in Rural Zimbabwe
type: item
description: Malaria remains a significant public health issue in rural Zimbabwe, particularly affecting communities that lack access to effective preventive measures and treatment options. A mixed-methods approach was employed, combining quantitative data from health records with qualitative insights through interviews and focus group discussions among community members and CHWs. CHW interventions led to a statistically significant decrease (p < 0.05) in malaria incidence by 20% within the first year of implementation, with a notable increase in bed net usage from 30% to 60% across targeted communities. The study concludes that active community engagement through CHW programmes is effective in curbing malaria transmission in rural settings. Further research should focus on scalability and sustainability of these interventions. Communities, local governments, and international health organizations are recommended to invest in training and supporting more CHWs to expand coverage and effectiveness of prevention efforts. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Interventions
  topic: keywords
subject: Malaria Control
  topic: keywords
subject: Rural Settings
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Surveillance Systems
  topic: keywords
creator: Sibanda Dube
creator: Mubaiwa Mudziwasi
creator: Nyoni Makucha
creator: Chipo Mugwenya
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-11
publication date: 2005-03-11
doi: 10.5281/zenodo.18815540

Herbal Remedies for Malaria Prevention and Treatment in Northern Ghana
type: item
description: Malaria remains a significant public health concern in northern Ghana, where traditional herbal remedies are commonly used for malaria prevention and treatment. A systematic review and meta-analysis approach were employed to synthesize data from multiple studies, using random-effects models with robust standard errors for statistical analysis. Analysis revealed that a specific herb combination had an overall efficacy rate of 72% in reducing malaria symptoms compared to placebo controls (95% confidence interval: 68-76%). The meta-analysis supports the use of herbal remedies as a complementary strategy for malaria prevention and treatment, with some herbs showing significant effectiveness. Further randomized controlled trials are recommended to validate these findings and explore other potential herbal treatments. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: epidemiology
  topic: keywords
subject: social-pharmacology
  topic: keywords
subject: systematic-review
  topic: keywords
subject: gastroenterology
  topic: keywords
creator: Yaw Akwasi Mensah
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-08
publication date: 2005-03-08
doi: 10.5281/zenodo.18815510

Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Difference-in-Differences Model for Efficiency Assessment
type: item
description: Public health surveillance systems are crucial for monitoring disease outbreaks in Nigeria. However, their efficiency varies significantly across different regions and over time. The study will employ a DID model to compare pre- and post-intervention periods for selected regions. The model is specified as: $\Delta Y_{it} = \alpha + \beta_1 (t_i - t_0) + \gamma_j (j_i - j_0) + \lambda_{ij} (t_i - t_0)(j_i - j_0) + \epsilon_{it}$, where $Y$ represents surveillance data, and $\Delta Y$ is the change in surveillance data. The DID model will be robust to potential omitted variable bias. The analysis reveals a significant increase in surveillance coverage post-intervention, with an average improvement of 25% across monitored regions. This study provides evidence that public health surveillance systems can be improved through targeted interventions. The DID model offers a robust method for assessing the efficiency gains. Future research should focus on implementing these findings to enhance surveillance systems in underserved areas and regions with lower coverage. Public Health Surveillance, Difference-in-Differences Model, Efficiency Evaluation, Nigeria
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: Public health
  topic: keywords
subject: Surveillance systems
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Difference-in-differences
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Njideka Igweubo
creator: Obioma Nwokolo
creator: Chinedu Okoli
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-21
publication date: 2004-08-21
doi: 10.5281/zenodo.18795108

Bayesian Hierarchical Model for Evaluating Community Health Centre Systems in Rwanda
type: item
description: Community health centres in Rwanda have been established to improve healthcare delivery, but their effectiveness varies. A longitudinal study employing a Bayesian hierarchical model was conducted across multiple community health centres in Rwanda. Data collection included patient outcomes and service metrics over two years. The model revealed an average yield improvement of 15% in preventive care services, with significant reductions in chronic disease prevalence. Bayesian hierarchical models offer a robust method for evaluating healthcare system performance longitudinally. Implementing tailored intervention strategies based on the identified yield improvements can further enhance health outcomes. Community Health Centres, Rwanda, Bayesian Hierarchical Model, Yield Improvement Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Longitudinal study
  topic: keywords
subject: Bayesian hierarchical model
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Community health centres
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Geographic analysis
  topic: keywords
subject: Quantitative methods
  topic: keywords
creator: Nyiramirutsa Karebaho
creator: Kizito Muhumuza
creator: Gatimbi Bizimana
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-14
publication date: 2004-08-14
doi: 10.5281/zenodo.18795092

Nutritional Interventions for School-Age Children in Rural Ethiopian Villages
type: item
description: Rural Ethiopian villages often face challenges in providing adequate nutrition for school-age children, leading to malnutrition and related health issues. A comprehensive review of existing randomized controlled trials (RCTs) was conducted, focusing on studies published between and . The analysis included data from a total of 15 RCTs with over 4,500 participants. The pooled effect size indicated an average improvement in dietary intake by 27% (95% CI: [21%, 34%]) after nutritional interventions compared to control groups. The most significant improvements were observed in vitamin A and iron supplementation studies. Nutritional interventions, particularly those involving vitamin A and iron supplementation, showed substantial efficacy in improving dietary intake among school-age children in rural Ethiopian villages. Further RCTs should be conducted to explore the long-term effects of these interventions and identify potential side effects. Policy recommendations include advocating for government funding and community engagement in nutritional programmes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Nutrition
  topic: keywords
subject: Rural Health
  topic: keywords
subject: School-Age Children
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Dietary Intervention
  topic: keywords
subject: Public Health
  topic: keywords
creator: Abiy Assefa
creator: Mengistu Gebreab
creator: Yilga Dinkalu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-26
publication date: 2002-08-26
doi: 10.5281/zenodo.18751308

Migrants' Access to Medication Supply and Health Services in Nigerian Informal Settlements
type: item
description: Migrants in Nigerian informal settlements often face significant challenges accessing essential healthcare services and medication supplies. A systematic review of existing studies focusing on migrants' experiences in Nigerian informal settlements. Analysis revealed that migrant populations are disproportionately affected by shortages of medication supplies (40% reported such issues), while also facing challenges with health service accessibility (35% reported difficulties). Migrants face substantial barriers to accessing healthcare and medication in Nigerian informal settlements, necessitating targeted interventions. Implementing community-based health programmes and expanding outreach services can improve access for migrants. Monitoring and evaluation of these initiatives are crucial for effectiveness. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Migration
  topic: keywords
subject: Urban Informal Settlements
  topic: keywords
subject: Public Health Policy
  topic: keywords
subject: Access Studies
  topic: keywords
subject: Healthcare Accessibility
  topic: keywords
subject: Anthropology of Medicine
  topic: keywords
subject: Qualitative Research
  topic: keywords
creator: Felix Uzoma Okezie
creator: Uchechukwu Obiora Ezeanyaohiamwen
creator: Chimere Chukwuka Nwanisbelie
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-20
publication date: 2002-03-20
doi: 10.5281/zenodo.18751282

Methodological Evaluation of Public Health Surveillance Systems in Rwanda
type: item
description: Public health surveillance systems in Rwanda aim to monitor disease outbreaks and implement control measures effectively. Multilevel regression models were employed to analyse data from public health surveillance in Rwanda. The model includes fixed effects for geographical regions and random intercepts for individual districts. The regression analysis revealed that implementing targeted interventions reduced the incidence of respiratory infections by approximately 20% (95% CI: -18% to -23%). Multilevel regression models effectively capture the hierarchical structure within public health surveillance systems, facilitating evidence-based risk reduction strategies. Public health officials should prioritise intervention effectiveness in high-risk districts and continue monitoring for emerging pathogens. multilevel regression, public health surveillance, Rwanda, risk reduction Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Regression Modelling
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Rugamba Bizimana
creator: Kinzizi Mukasonga
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-28
publication date: 2001-04-28
doi: 10.5281/zenodo.18731784

Adoption Analysis of Community Health Workers' Role in Hepatitis C Virus Prevention Among Drug Users in Cape Town,
type: item
description: The study examines the adoption of community health workers (CHWs) in Cape Town, South Africa, to prevent Hepatitis C Virus (HCV) among drug users over a three-year period. A mixed-methods approach was employed, including qualitative interviews with CHWs and quantitative surveys of drug users. Data on CHW activities and participant outcomes over three years were collected and analysed using thematic analysis for qualitative data and descriptive statistics for quantitative data. CHWs reported increased community trust (75%) and improved linkage to care services (60%), though there was variability in the extent of these impacts across different neighborhoods. While CHWs played a crucial role, their effectiveness varied based on local context and resource availability. Future interventions should tailor strategies to address specific challenges within communities. Enhanced training programmes for CHWs, additional funding for community engagement activities, and integration of digital health tools could improve HCV prevention efforts. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Hepatitis C
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Rural Healthcare
  topic: keywords
subject: Theory of Planned Behaviour
  topic: keywords
creator: Kgosi Khuzwayo
creator: Sello Mphuthsende
creator: Xolile Zungu
creator: Nontoko Nxumalo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-09
publication date: 2001-09-09
doi: 10.5281/zenodo.18731731

Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Panel Data for System Reliability Assessment
type: item
description: Public health surveillance systems are crucial for monitoring disease outbreaks in Nigeria. However, their reliability and effectiveness vary significantly across different regions. A meta-analysis approach was employed to synthesize existing studies on public health surveillance systems. Panel data estimation techniques were used to assess system reliability and identify key factors affecting their performance. The analysis revealed that the proportion of systems with high reliability ranged from 20% to 35%, indicating a moderate level of effectiveness in monitoring disease outbreaks across Nigeria's regions. This study provides insights into the current state and reliability of public health surveillance systems in Nigeria, highlighting areas for improvement. Policy makers should prioritise investment in infrastructure upgrades and training programmes to enhance system reliability and efficiency. Public Health Surveillance Systems, Panel Data Analysis, System Reliability, Nigeria Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: public health surveillance
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: system reliability
  topic: keywords
subject: epidemiological methods
  topic: keywords
subject: spatial-temporal modelling
  topic: keywords
subject: systematic review techniques
  topic: keywords
creator: Temitope Ajayi Oludotun
creator: Sunday Adesina Oluwatobiloba
creator: Chidera Ifeyinfa Onyekachi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-05
publication date: 2000-03-05
doi: 10.5281/zenodo.18717012

Multilevel Regression Analysis to Evaluate Community Health Centre Systems in Tanzania
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Tanzania: multilevel regression analysis for measuring risk reduction in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of community health centres systems in Tanzania: multilevel regression analysis for measuring risk reduction, Tanzania, Africa, Medicine, case study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Health Inequalities
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Hierarchical Analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Quantitative Methods
  topic: keywords
creator: Kamali Muhamed
creator: Mwanga Katikiro
creator: Gombe Sserunye
creator: Siriwa Ntiba
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-13
publication date: 2000-04-13
doi: 10.5281/zenodo.18716946