Na minha lista:
| Main Authors: | , , |
|---|---|
| Formato: | Recurso digital |
| Idioma: | inglês |
| Publicado em: |
Zenodo
2014
|
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.5281/zenodo.19040236 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Sumário:
- <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>