Methodological Evaluation of Public Health Surveillance Systems in South Africa: Panel Data Estimation for Yield Improvement Analysis
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2014
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| _version_ | 1866901897774891008 |
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| author | Khumalo, Sipho Motlhaluwa, Mpho |
| author_facet | Khumalo, Sipho Motlhaluwa, Mpho |
| contents | <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in South Africa: panel-data estimation for measuring yield improvement in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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 South Africa: panel-data estimation for measuring yield improvement, South Africa, Africa, Medicine, case study 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_19028755 |
| institution | Zenodo |
| language | eng |
| publishDate | 2014 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Public Health Surveillance Systems in South Africa: Panel Data Estimation for Yield Improvement Analysis Khumalo, Sipho Motlhaluwa, Mpho African geography public health surveillance systems panel data econometrics yield improvement longitudinal analysis <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in South Africa: panel-data estimation for measuring yield improvement in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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 South Africa: panel-data estimation for measuring yield improvement, South Africa, Africa, Medicine, case study 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 | Methodological Evaluation of Public Health Surveillance Systems in South Africa: Panel Data Estimation for Yield Improvement Analysis |
| topic | African geography public health surveillance systems panel data econometrics yield improvement longitudinal analysis |
| url | https://doi.org/10.5281/zenodo.19028755 |