Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Difference-in-Differences Model to Measure System Reliability

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Main Authors: Nwoyeakachukwu, Chukwuebuka, Ifidonkpa, Chidera, Obinnaoha, Uzomichi
Format: Recurso digital
Language:English
Published: Zenodo 2002
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_version_ 1866902167871291392
author Nwoyeakachukwu, Chukwuebuka
Ifidonkpa, Chidera
Obinnaoha, Uzomichi
author_facet Nwoyeakachukwu, Chukwuebuka
Ifidonkpa, Chidera
Obinnaoha, Uzomichi
contents <p>Public health surveillance systems are essential for monitoring diseases and managing public health emergencies in Nigeria. A DID model was employed to assess system performance across different regions, accounting for potential confounders such as economic and demographic factors. The analysis revealed significant variations in system reliability between urban and rural areas, with an estimated difference-in-differences score of -15% (95% CI: -20% to -10%). The DID model effectively highlighted disparities in the surveillance systems' performance. Policy makers should prioritise system improvements in less reliable regions, particularly focusing on rural areas. Public health surveillance, Difference-in-Differences (DID), Nigeria, System Reliability 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_18739619
institution Zenodo
language eng
publishDate 2002
publisher Zenodo
record_format zenodo
spellingShingle Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Difference-in-Differences Model to Measure System Reliability
Nwoyeakachukwu, Chukwuebuka
Ifidonkpa, Chidera
Obinnaoha, Uzomichi
Nigerian
Geographic
Public Health
Surveillance
Evaluation
Impact
Analysis
<p>Public health surveillance systems are essential for monitoring diseases and managing public health emergencies in Nigeria. A DID model was employed to assess system performance across different regions, accounting for potential confounders such as economic and demographic factors. The analysis revealed significant variations in system reliability between urban and rural areas, with an estimated difference-in-differences score of -15% (95% CI: -20% to -10%). The DID model effectively highlighted disparities in the surveillance systems' performance. Policy makers should prioritise system improvements in less reliable regions, particularly focusing on rural areas. Public health surveillance, Difference-in-Differences (DID), Nigeria, System Reliability 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 Using Difference-in-Differences Model to Measure System Reliability
topic Nigerian
Geographic
Public Health
Surveillance
Evaluation
Impact
Analysis
url https://doi.org/10.5281/zenodo.18739619