Methodological Evaluation of Public Health Surveillance Systems in Senegal Using Panel Data for Reliability Assessment
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2012
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| _version_ | 1866901394346213376 |
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| author | Thiam, Mamadou Sow, Sékou |
| author_facet | Thiam, Mamadou Sow, Sékou |
| contents | <p>Public health surveillance systems are crucial for monitoring infectious diseases in Senegal. These systems aim to provide timely and accurate data on disease incidence, which is essential for effective public health interventions. A mixed-method approach was employed, combining quantitative panel-data regression models with qualitative interviews and observations. Panel Data Estimation Techniques (PDET) were used to evaluate the reliability of public health surveillance data over time. The analysis revealed a significant positive relationship between timely reporting by healthcare facilities and accurate disease incidence estimates, indicating that enhanced reporting systems could improve system reliability. This study provides insights into the effectiveness of current public health surveillance practices in Senegal and offers recommendations for improving data collection and accuracy. The findings suggest that strengthening training programmes for healthcare workers and implementing robust data management protocols are necessary to enhance the reliability of public health surveillance systems. 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_18947096 |
| institution | Zenodo |
| language | eng |
| publishDate | 2012 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Public Health Surveillance Systems in Senegal Using Panel Data for Reliability Assessment Thiam, Mamadou Sow, Sékou Sub-Saharan infectious diseases panel data reliability assessment econometrics surveillance systems geographic information systems <p>Public health surveillance systems are crucial for monitoring infectious diseases in Senegal. These systems aim to provide timely and accurate data on disease incidence, which is essential for effective public health interventions. A mixed-method approach was employed, combining quantitative panel-data regression models with qualitative interviews and observations. Panel Data Estimation Techniques (PDET) were used to evaluate the reliability of public health surveillance data over time. The analysis revealed a significant positive relationship between timely reporting by healthcare facilities and accurate disease incidence estimates, indicating that enhanced reporting systems could improve system reliability. This study provides insights into the effectiveness of current public health surveillance practices in Senegal and offers recommendations for improving data collection and accuracy. The findings suggest that strengthening training programmes for healthcare workers and implementing robust data management protocols are necessary to enhance the reliability of public health surveillance systems. 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 Using Panel Data for Reliability Assessment |
| topic | Sub-Saharan infectious diseases panel data reliability assessment econometrics surveillance systems geographic information systems |
| url | https://doi.org/10.5281/zenodo.18947096 |