Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Panel Data for Cost-Effectiveness Assessment
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| Autores principales: | , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2013
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| _version_ | 1866901428392427520 |
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| author | Mutua, Oscar Mwangi Nderitu, Wanjiku Nyaga |
| author_facet | Mutua, Oscar Mwangi Nderitu, Wanjiku Nyaga |
| contents | <p>Public health surveillance systems in Kenya are essential for monitoring infectious diseases and ensuring timely interventions. However, there is a need to evaluate their effectiveness and cost-effectiveness. The study employs a fixed effects regression model to analyse the impact of surveillance systems on disease prevalence, accounting for potential confounding variables. Uncertainty is addressed through robust standard errors. A significant positive relationship was observed between the presence of public health surveillance and reduced disease incidence by 20% (95% CI: -18% to -22%). The fixed effects regression model provides a reliable method for evaluating cost-effectiveness in public health surveillance systems. Further research should consider longitudinal data to validate these findings and explore other potential interventions. Public Health Surveillance, Fixed Effects Regression, Cost-Effectiveness Analysis, Kenya 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_18989648 |
| institution | Zenodo |
| language | eng |
| publishDate | 2013 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Panel Data for Cost-Effectiveness Assessment Mutua, Oscar Mwangi Nderitu, Wanjiku Nyaga African geography infectious diseases public health panel data cost-effectiveness econometrics surveillance systems <p>Public health surveillance systems in Kenya are essential for monitoring infectious diseases and ensuring timely interventions. However, there is a need to evaluate their effectiveness and cost-effectiveness. The study employs a fixed effects regression model to analyse the impact of surveillance systems on disease prevalence, accounting for potential confounding variables. Uncertainty is addressed through robust standard errors. A significant positive relationship was observed between the presence of public health surveillance and reduced disease incidence by 20% (95% CI: -18% to -22%). The fixed effects regression model provides a reliable method for evaluating cost-effectiveness in public health surveillance systems. Further research should consider longitudinal data to validate these findings and explore other potential interventions. Public Health Surveillance, Fixed Effects Regression, Cost-Effectiveness Analysis, Kenya 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 Kenya Using Panel Data for Cost-Effectiveness Assessment |
| topic | African geography infectious diseases public health panel data cost-effectiveness econometrics surveillance systems |
| url | https://doi.org/10.5281/zenodo.18989648 |