Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Multilevel Regression Analysis for System Reliability Assessment
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| Main Authors: | , , , |
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2013
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| _version_ | 1866901602956214272 |
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| author | Gyamfi, Yaw Opare, Amma Afriyee, Esi Dankwa, Kofi |
| author_facet | Gyamfi, Yaw Opare, Amma Afriyee, Esi Dankwa, Kofi |
| contents | <p>Public health surveillance systems in Ghana are crucial for monitoring diseases and ensuring effective public health interventions. However, their reliability and efficiency need methodological evaluation. A multilevel regression model will be employed to assess system reliability by analysing data collected from multiple levels (national, regional, local) within Ghana's public health surveillance network. The multilevel regression analysis revealed a significant positive impact of funding on the accuracy and timeliness of disease reporting at the national level (β = 0.45, p < 0.01). This study provides insights into improving the reliability of public health surveillance systems in Ghana. Enhanced funding allocation and standardised training programmes are recommended to improve system performance. 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_18983318 |
| institution | Zenodo |
| language | eng |
| publishDate | 2013 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Multilevel Regression Analysis for System Reliability Assessment Gyamfi, Yaw Opare, Amma Afriyee, Esi Dankwa, Kofi Sub-Saharan Geographic Information Systems Hierarchical Linear Modelling Systematic Review Quality Assessment Spatial Analysis Validation Studies <p>Public health surveillance systems in Ghana are crucial for monitoring diseases and ensuring effective public health interventions. However, their reliability and efficiency need methodological evaluation. A multilevel regression model will be employed to assess system reliability by analysing data collected from multiple levels (national, regional, local) within Ghana's public health surveillance network. The multilevel regression analysis revealed a significant positive impact of funding on the accuracy and timeliness of disease reporting at the national level (β = 0.45, p < 0.01). This study provides insights into improving the reliability of public health surveillance systems in Ghana. Enhanced funding allocation and standardised training programmes are recommended to improve system performance. 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 Ghana Using Multilevel Regression Analysis for System Reliability Assessment |
| topic | Sub-Saharan Geographic Information Systems Hierarchical Linear Modelling Systematic Review Quality Assessment Spatial Analysis Validation Studies |
| url | https://doi.org/10.5281/zenodo.18983318 |