Bayesian Hierarchical Model Evaluation of Public Health Surveillance Systems in Uganda
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| Auteurs principaux: | , , , |
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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2014
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| _version_ | 1866901064037433344 |
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| author | Campbell, Mohamed Thompson, Jeffrey Smith, Mr Darren O'Sullivan, Lee |
| author_facet | Campbell, Mohamed Thompson, Jeffrey Smith, Mr Darren O'Sullivan, Lee |
| contents | <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Uganda: Bayesian hierarchical model for measuring yield improvement in Uganda. 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 public health surveillance systems systems in Uganda: Bayesian hierarchical model for measuring yield improvement, Uganda, Africa, Medicine, original research 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_19040735 |
| institution | Zenodo |
| language | eng |
| publishDate | 2014 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Bayesian Hierarchical Model Evaluation of Public Health Surveillance Systems in Uganda Campbell, Mohamed Thompson, Jeffrey Smith, Mr Darren O'Sullivan, Lee Uganda Bayesian Hierarchical Model Evaluation Surveillance Public Health <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Uganda: Bayesian hierarchical model for measuring yield improvement in Uganda. 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 public health surveillance systems systems in Uganda: Bayesian hierarchical model for measuring yield improvement, Uganda, Africa, Medicine, original research 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 | Bayesian Hierarchical Model Evaluation of Public Health Surveillance Systems in Uganda |
| topic | Uganda Bayesian Hierarchical Model Evaluation Surveillance Public Health |
| url | https://doi.org/10.5281/zenodo.19040735 |