Methodological Evaluation of Public Health Surveillance Systems in Tanzania: Multilevel Regression Analysis for Efficiency Gains
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| Autores principales: | , , , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2007
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| _version_ | 1866901386395910144 |
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| author | Chuma, Kamasi Muhamed, Mwakabuki Ngowi, Rustemani Nsamba, Kimwe |
| author_facet | Chuma, Kamasi Muhamed, Mwakabuki Ngowi, Rustemani Nsamba, Kimwe |
| contents | <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Tanzania: multilevel regression analysis for measuring efficiency gains 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 public health surveillance systems systems in Tanzania: multilevel regression analysis for measuring efficiency gains, Tanzania, Africa, Medicine, short report 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.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18847418 |
| institution | Zenodo |
| language | eng |
| publishDate | 2007 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Public Health Surveillance Systems in Tanzania: Multilevel Regression Analysis for Efficiency Gains Chuma, Kamasi Muhamed, Mwakabuki Ngowi, Rustemani Nsamba, Kimwe Tanzania Geographic Information Systems (GIS) Spatial Analysis Cluster Randomization Multilevel Modelling Public Health Metrics Surveillance Enhancements <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Tanzania: multilevel regression analysis for measuring efficiency gains 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 public health surveillance systems systems in Tanzania: multilevel regression analysis for measuring efficiency gains, Tanzania, Africa, Medicine, short report 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.</p> |
| title | Methodological Evaluation of Public Health Surveillance Systems in Tanzania: Multilevel Regression Analysis for Efficiency Gains |
| topic | Tanzania Geographic Information Systems (GIS) Spatial Analysis Cluster Randomization Multilevel Modelling Public Health Metrics Surveillance Enhancements |
| url | https://doi.org/10.5281/zenodo.18847418 |