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Delayed outbreak detection: a wake-up call to evaluate a surveillance system

During May, 83 of the 120 districts in Uganda had reported malaria cases above the upper limit of the normal channel. Across all districts, cases had exceeded malaria normal channel upper limits for an average of six months. Yet no alarms had been raised! Starting in 2000, Uganda adopted the World H...

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Autores principales: Bulage, Lilian, Kadobera, Daniel, Kwesiga, Benon, Kabwama, Steven Ndugugwa, Ario, Alex Riolexus, Harris, Julie Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474847/
https://www.ncbi.nlm.nih.gov/pubmed/36158746
http://dx.doi.org/10.11604/pamj.supp.2022.41.1.31161
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author Bulage, Lilian
Kadobera, Daniel
Kwesiga, Benon
Kabwama, Steven Ndugugwa
Ario, Alex Riolexus
Harris, Julie Rebecca
author_facet Bulage, Lilian
Kadobera, Daniel
Kwesiga, Benon
Kabwama, Steven Ndugugwa
Ario, Alex Riolexus
Harris, Julie Rebecca
author_sort Bulage, Lilian
collection PubMed
description During May, 83 of the 120 districts in Uganda had reported malaria cases above the upper limit of the normal channel. Across all districts, cases had exceeded malaria normal channel upper limits for an average of six months. Yet no alarms had been raised! Starting in 2000, Uganda adopted the World Health Organization (WHO) Integrated Disease Surveillance and Response (IDSR) strategy for disease reporting, including for malaria. Even early on, however, it was unclear how effectively IDSR and DHIS2 were being used in Uganda. Outbreaks were consistently detected late, but the underlying cause of the late detection was unclear. Suspecting there might be gaps in the surveillance system that were not immediately obvious, the Uganda FETP was asked to evaluate the malaria surveillance system in Uganda. This case study teaches trainees in Field Epidemiology and Laboratory Training Programs, public health students, public health workers who may participate in evaluation of public health surveillance systems, and others who are interested in this topic on reasons, steps, and attributes and uses the surveillance evaluation approach to identify gaps and facilitates discussion of practical solutions for improving a public health surveillance system.
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spelling pubmed-94748472022-09-23 Delayed outbreak detection: a wake-up call to evaluate a surveillance system Bulage, Lilian Kadobera, Daniel Kwesiga, Benon Kabwama, Steven Ndugugwa Ario, Alex Riolexus Harris, Julie Rebecca Pan Afr Med J Case Study During May, 83 of the 120 districts in Uganda had reported malaria cases above the upper limit of the normal channel. Across all districts, cases had exceeded malaria normal channel upper limits for an average of six months. Yet no alarms had been raised! Starting in 2000, Uganda adopted the World Health Organization (WHO) Integrated Disease Surveillance and Response (IDSR) strategy for disease reporting, including for malaria. Even early on, however, it was unclear how effectively IDSR and DHIS2 were being used in Uganda. Outbreaks were consistently detected late, but the underlying cause of the late detection was unclear. Suspecting there might be gaps in the surveillance system that were not immediately obvious, the Uganda FETP was asked to evaluate the malaria surveillance system in Uganda. This case study teaches trainees in Field Epidemiology and Laboratory Training Programs, public health students, public health workers who may participate in evaluation of public health surveillance systems, and others who are interested in this topic on reasons, steps, and attributes and uses the surveillance evaluation approach to identify gaps and facilitates discussion of practical solutions for improving a public health surveillance system. The African Field Epidemiology Network 2022-02-09 /pmc/articles/PMC9474847/ /pubmed/36158746 http://dx.doi.org/10.11604/pamj.supp.2022.41.1.31161 Text en Copyright: Lilian Bulage et al. https://creativecommons.org/licenses/by/4.0/The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Case Study
Bulage, Lilian
Kadobera, Daniel
Kwesiga, Benon
Kabwama, Steven Ndugugwa
Ario, Alex Riolexus
Harris, Julie Rebecca
Delayed outbreak detection: a wake-up call to evaluate a surveillance system
title Delayed outbreak detection: a wake-up call to evaluate a surveillance system
title_full Delayed outbreak detection: a wake-up call to evaluate a surveillance system
title_fullStr Delayed outbreak detection: a wake-up call to evaluate a surveillance system
title_full_unstemmed Delayed outbreak detection: a wake-up call to evaluate a surveillance system
title_short Delayed outbreak detection: a wake-up call to evaluate a surveillance system
title_sort delayed outbreak detection: a wake-up call to evaluate a surveillance system
topic Case Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474847/
https://www.ncbi.nlm.nih.gov/pubmed/36158746
http://dx.doi.org/10.11604/pamj.supp.2022.41.1.31161
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