Methodological Evaluation of Public Health Surveillance Systems in Uganda: Quasi-Experimental Design for Cost-Effectiveness Assessment

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Auteurs principaux: Kiwanuka, Muhamed, Okello, Nakato
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2006
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author Kiwanuka, Muhamed
Okello, Nakato
author_facet Kiwanuka, Muhamed
Okello, Nakato
contents <p>Public health surveillance systems in Uganda are critical for monitoring diseases and managing outbreaks effectively. A quasi-experimental design was employed to assess the cost-effectiveness of surveillance systems. The study utilised statistical models to estimate costs and benefits, including uncertainty intervals for robust inference. The analysis revealed that the current system underperformed in terms of detection accuracy, with a proportion of missed cases estimated at around 15%. This quasi-experimental design provided insights into the strengths and weaknesses of existing surveillance systems, facilitating improvements in public health management. Enhancements to training programmes for surveillance personnel are recommended to improve detection accuracy. Additionally, investment is advised in infrastructure that supports timely data collection. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p>
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id zenodo_https___doi_org_10_5281_zenodo_18825316
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language eng
publishDate 2006
publisher Zenodo
record_format zenodo
spellingShingle Methodological Evaluation of Public Health Surveillance Systems in Uganda: Quasi-Experimental Design for Cost-Effectiveness Assessment
Kiwanuka, Muhamed
Okello, Nakato
Sub-Saharan
African
epidemiology
methodology
quasi-experimental
evaluation
publichealth
<p>Public health surveillance systems in Uganda are critical for monitoring diseases and managing outbreaks effectively. A quasi-experimental design was employed to assess the cost-effectiveness of surveillance systems. The study utilised statistical models to estimate costs and benefits, including uncertainty intervals for robust inference. The analysis revealed that the current system underperformed in terms of detection accuracy, with a proportion of missed cases estimated at around 15%. This quasi-experimental design provided insights into the strengths and weaknesses of existing surveillance systems, facilitating improvements in public health management. Enhancements to training programmes for surveillance personnel are recommended to improve detection accuracy. Additionally, investment is advised in infrastructure that supports timely data collection. 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 Uganda: Quasi-Experimental Design for Cost-Effectiveness Assessment
topic Sub-Saharan
African
epidemiology
methodology
quasi-experimental
evaluation
publichealth
url https://doi.org/10.5281/zenodo.18825316