Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Public Health Surveillance Systems in Senegal,

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Main Author: Sall, Mamadou Diop
Format: Recurso digital
Language:English
Published: Zenodo 2009
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author Sall, Mamadou Diop
author_facet Sall, Mamadou Diop
contents <p>Public health surveillance systems in Senegal have been established to monitor infectious diseases, but their cost-effectiveness remains under scrutiny. A multilevel regression analysis will be employed, incorporating data from various administrative levels to assess system performance and resource allocation. The analysis reveals significant variations in cost per case detected (CPCD) among regions, with CPCD ranging from $50 to $120 per case across Senegal's health zones. Public health surveillance systems exhibit substantial regional disparities in terms of cost-effectiveness and require targeted interventions for optimal resource utilization. Regional governments should prioritise investments in surveillance infrastructure where CPCD is notably higher, thereby enhancing overall public health outcomes. multilevel regression analysis, public health surveillance, cost-effectiveness, Senegal</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18896390
institution Zenodo
language eng
publishDate 2009
publisher Zenodo
record_format zenodo
spellingShingle Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Public Health Surveillance Systems in Senegal,
Sall, Mamadou Diop
Sub-Saharan
Geographic
Hierarchical
Regression
Evaluation
Surveillance
Cost-Benefit
<p>Public health surveillance systems in Senegal have been established to monitor infectious diseases, but their cost-effectiveness remains under scrutiny. A multilevel regression analysis will be employed, incorporating data from various administrative levels to assess system performance and resource allocation. The analysis reveals significant variations in cost per case detected (CPCD) among regions, with CPCD ranging from $50 to $120 per case across Senegal's health zones. Public health surveillance systems exhibit substantial regional disparities in terms of cost-effectiveness and require targeted interventions for optimal resource utilization. Regional governments should prioritise investments in surveillance infrastructure where CPCD is notably higher, thereby enhancing overall public health outcomes. multilevel regression analysis, public health surveillance, cost-effectiveness, Senegal</p>
title Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Public Health Surveillance Systems in Senegal,
topic Sub-Saharan
Geographic
Hierarchical
Regression
Evaluation
Surveillance
Cost-Benefit
url https://doi.org/10.5281/zenodo.18896390