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| Formato: | Recurso digital |
| Idioma: | inglês |
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Zenodo
2014
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| Acesso em linha: | https://doi.org/10.5281/zenodo.19036701 |
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| _version_ | 1866901400036835328 |
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| author | Kerr, Dr Kyle George, Heather Yates, Alison Harper, Jack |
| author_facet | Kerr, Dr Kyle George, Heather Yates, Alison Harper, Jack |
| contents | <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Tanzania: Bayesian hierarchical model for measuring system reliability in Tanzania. 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 Tanzania: Bayesian hierarchical model for measuring system reliability, Tanzania, 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_19036701 |
| institution | Zenodo |
| language | eng |
| publishDate | 2014 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Bayesian Hierarchical Model Evaluation of Public Health Surveillance Systems in Tanzania Kerr, Dr Kyle George, Heather Yates, Alison Harper, Jack Tanzania Bayesian hierarchical model Public health surveillance System reliability Methodology Epidemiology Quantitative analysis <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Tanzania: Bayesian hierarchical model for measuring system reliability in Tanzania. 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 Tanzania: Bayesian hierarchical model for measuring system reliability, Tanzania, 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 Tanzania |
| topic | Tanzania Bayesian hierarchical model Public health surveillance System reliability Methodology Epidemiology Quantitative analysis |
| url | https://doi.org/10.5281/zenodo.19036701 |