Methodological Evaluation of Public Health Surveillance Systems in Nigeria: Forecasting Cost-Effectiveness Using Time-Series Models

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Auteurs principaux: Elliott, Jeffrey, Palmer, Dr Pamela, Wright, Holly
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2014
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author Elliott, Jeffrey
Palmer, Dr Pamela
Wright, Holly
author_facet Elliott, Jeffrey
Palmer, Dr Pamela
Wright, Holly
contents <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Nigeria: time-series forecasting model for measuring cost-effectiveness in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 Nigeria: time-series forecasting model for measuring cost-effectiveness, Nigeria, Africa, Medicine, review article 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_19027307
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language eng
publishDate 2014
publisher Zenodo
record_format zenodo
spellingShingle Methodological Evaluation of Public Health Surveillance Systems in Nigeria: Forecasting Cost-Effectiveness Using Time-Series Models
Elliott, Jeffrey
Palmer, Dr Pamela
Wright, Holly
Sub-Saharan
African
Nigeria
Epidemiology
PublicHealth
SystemsAnalysis
QuantitativeMethods
Modelling
<p>This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Nigeria: time-series forecasting model for measuring cost-effectiveness in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 Nigeria: time-series forecasting model for measuring cost-effectiveness, Nigeria, Africa, Medicine, review article 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 Nigeria: Forecasting Cost-Effectiveness Using Time-Series Models
topic Sub-Saharan
African
Nigeria
Epidemiology
PublicHealth
SystemsAnalysis
QuantitativeMethods
Modelling
url https://doi.org/10.5281/zenodo.19027307