Methodological Evaluation of Public Health Surveillance Systems in Senegal: Quasi-Experimental Design for Risk Reduction Analysis
Fuente:
Zenodo
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Recurso digital |
| Sprache: | Englisch |
| Veröffentlicht: |
Zenodo
2005
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866902148532404224 |
|---|---|
| author | Faye, Djamel Sylla, Aminata Diarfé, Sabina |
| author_facet | Faye, Djamel Sylla, Aminata Diarfé, Sabina |
| contents | <p>Public health surveillance systems in Senegal are crucial for monitoring infectious diseases such as malaria and tuberculosis. However, their effectiveness can vary depending on implementation details. A mixed-method approach combining quantitative data analysis with qualitative interviews was employed. The study used a difference-in-differences (DID) regression model for causal inference. There is a significant decrease in reported malaria cases post-intervention, though the exact proportion needs further investigation. The quasi-experimental design demonstrated promise in identifying potential risk reduction effects but requires more robust data collection and analysis. Enhanced surveillance systems should be regularly evaluated for their impact on disease control. public health, surveillance systems, malaria, tuberculosis, difference-in-differences (DID) 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_18806811 |
| institution | Zenodo |
| language | eng |
| publishDate | 2005 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Public Health Surveillance Systems in Senegal: Quasi-Experimental Design for Risk Reduction Analysis Faye, Djamel Sylla, Aminata Diarfé, Sabina Sub-Saharan African Quasi-experimental Health surveillance Systems evaluation Quantitative methods Data validation <p>Public health surveillance systems in Senegal are crucial for monitoring infectious diseases such as malaria and tuberculosis. However, their effectiveness can vary depending on implementation details. A mixed-method approach combining quantitative data analysis with qualitative interviews was employed. The study used a difference-in-differences (DID) regression model for causal inference. There is a significant decrease in reported malaria cases post-intervention, though the exact proportion needs further investigation. The quasi-experimental design demonstrated promise in identifying potential risk reduction effects but requires more robust data collection and analysis. Enhanced surveillance systems should be regularly evaluated for their impact on disease control. public health, surveillance systems, malaria, tuberculosis, difference-in-differences (DID) 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 Senegal: Quasi-Experimental Design for Risk Reduction Analysis |
| topic | Sub-Saharan African Quasi-experimental Health surveillance Systems evaluation Quantitative methods Data validation |
| url | https://doi.org/10.5281/zenodo.18806811 |