Time-Series Forecasting Models in Public Health Surveillance Systems in Senegal: A Methodological Assessment
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2014
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| _version_ | 1866901386774446080 |
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| author | Baker, Ronald Roberts, Mr Brian Morgan, Ms Charlotte |
| author_facet | Baker, Ronald Roberts, Mr Brian Morgan, Ms Charlotte |
| contents | <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Senegal: time-series forecasting model for measuring system reliability in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 Senegal: time-series forecasting model for measuring system reliability, Senegal, Africa, Medicine, systematic review 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_19040236 |
| institution | Zenodo |
| language | eng |
| publishDate | 2014 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Time-Series Forecasting Models in Public Health Surveillance Systems in Senegal: A Methodological Assessment Baker, Ronald Roberts, Mr Brian Morgan, Ms Charlotte Sub-Saharan public health surveillance systems time-series analysis forecasting models econometrics reliability assessment <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Senegal: time-series forecasting model for measuring system reliability in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 Senegal: time-series forecasting model for measuring system reliability, Senegal, Africa, Medicine, systematic review 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 | Time-Series Forecasting Models in Public Health Surveillance Systems in Senegal: A Methodological Assessment |
| topic | Sub-Saharan public health surveillance systems time-series analysis forecasting models econometrics reliability assessment |
| url | https://doi.org/10.5281/zenodo.19040236 |