Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Difference-in-Differences Models
Fuente:
Zenodo
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2003
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866901493199667200 |
|---|---|
| author | Adomaa, Yaw Aggrey, Kwegyir |
| author_facet | Adomaa, Yaw Aggrey, Kwegyir |
| contents | <p>Public health surveillance systems are crucial for monitoring and controlling diseases in Ghana. A difference-in-differences model will be applied to measure efficiency gains by comparing pre- and post-intervention periods with control groups. The DID analysis revealed a statistically significant increase in the number of notifiable diseases reported, suggesting improved surveillance effectiveness. DID models effectively highlight improvements in public health surveillance systems over time. Continued monitoring and potential system enhancements are recommended based on findings. Public Health Surveillance, Difference-in-Differences, Efficiency Gains, Ghana 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_18761310 |
| institution | Zenodo |
| language | eng |
| publishDate | 2003 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Difference-in-Differences Models Adomaa, Yaw Aggrey, Kwegyir Sub-Saharan Ghanaian Public Health Surveillance Evaluation Efficiency Econometric <p>Public health surveillance systems are crucial for monitoring and controlling diseases in Ghana. A difference-in-differences model will be applied to measure efficiency gains by comparing pre- and post-intervention periods with control groups. The DID analysis revealed a statistically significant increase in the number of notifiable diseases reported, suggesting improved surveillance effectiveness. DID models effectively highlight improvements in public health surveillance systems over time. Continued monitoring and potential system enhancements are recommended based on findings. Public Health Surveillance, Difference-in-Differences, Efficiency Gains, Ghana 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 Ghana Using Difference-in-Differences Models |
| topic | Sub-Saharan Ghanaian Public Health Surveillance Evaluation Efficiency Econometric |
| url | https://doi.org/10.5281/zenodo.18761310 |