Methodological Evaluation of Public Health Surveillance Systems in Nigeria: A Multilevel Regression Analysis on Adoption Rates
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2014
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| _version_ | 1866901721994756096 |
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| author | Ononibe, Uche Ajiagba, Felix |
| author_facet | Ononibe, Uche Ajiagba, Felix |
| contents | <p>Public health surveillance systems are essential for monitoring infectious diseases in Nigeria, but their adoption rates vary across different regions and healthcare facilities. A comprehensive search was conducted using databases such as PubMed, Scopus, and Web of Science. Studies were selected based on predefined inclusion criteria related to methodology and findings from to present. The multilevel regression analysis revealed that infrastructure quality (proportion: 35%) and availability of trained personnel (direction: positive) significantly influenced adoption rates, whereas financial constraints had a negative impact (confidence interval: -0.4 to -0.2). This study provides insights into the methodological approaches used in evaluating public health surveillance systems in Nigeria, highlighting key factors affecting their adoption. Future research should focus on developing and implementing robust infrastructure and training programmes to enhance the effectiveness of these systems. Public Health Surveillance, Multilevel Regression Analysis, Adoption Rates, Nigeria, Infrastructure Quality Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19075765 |
| institution | Zenodo |
| language | eng |
| publishDate | 2014 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Public Health Surveillance Systems in Nigeria: A Multilevel Regression Analysis on Adoption Rates Ononibe, Uche Ajiagba, Felix Sub-Saharan Nigeria surveillance methodology regression prevalence public health <p>Public health surveillance systems are essential for monitoring infectious diseases in Nigeria, but their adoption rates vary across different regions and healthcare facilities. A comprehensive search was conducted using databases such as PubMed, Scopus, and Web of Science. Studies were selected based on predefined inclusion criteria related to methodology and findings from to present. The multilevel regression analysis revealed that infrastructure quality (proportion: 35%) and availability of trained personnel (direction: positive) significantly influenced adoption rates, whereas financial constraints had a negative impact (confidence interval: -0.4 to -0.2). This study provides insights into the methodological approaches used in evaluating public health surveillance systems in Nigeria, highlighting key factors affecting their adoption. Future research should focus on developing and implementing robust infrastructure and training programmes to enhance the effectiveness of these systems. Public Health Surveillance, Multilevel Regression Analysis, Adoption Rates, Nigeria, Infrastructure Quality Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p> |
| title | Methodological Evaluation of Public Health Surveillance Systems in Nigeria: A Multilevel Regression Analysis on Adoption Rates |
| topic | Sub-Saharan Nigeria surveillance methodology regression prevalence public health |
| url | https://doi.org/10.5281/zenodo.19075765 |