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Establishing seasonal and alert influenza thresholds in Morocco
BACKGROUND: Several statistical methods of variable complexity have been developed to establish thresholds for influenza activity that may be used to inform public health guidance. We compared the results of two methods and explored how they worked to characterize the 2018 influenza season performan...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323370/ https://www.ncbi.nlm.nih.gov/pubmed/32600376 http://dx.doi.org/10.1186/s12889-020-09145-y |
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author | Rguig, Ahmed Cherkaoui, Imad McCarron, Margaret Oumzil, Hicham Triki, Soumia Elmbarki, Houria Bimouhen, Abderrahman El Falaki, Fatima Regragui, Zakia Ihazmad, Hassan Nejjari, Chakib Youbi, Mohammed |
author_facet | Rguig, Ahmed Cherkaoui, Imad McCarron, Margaret Oumzil, Hicham Triki, Soumia Elmbarki, Houria Bimouhen, Abderrahman El Falaki, Fatima Regragui, Zakia Ihazmad, Hassan Nejjari, Chakib Youbi, Mohammed |
author_sort | Rguig, Ahmed |
collection | PubMed |
description | BACKGROUND: Several statistical methods of variable complexity have been developed to establish thresholds for influenza activity that may be used to inform public health guidance. We compared the results of two methods and explored how they worked to characterize the 2018 influenza season performance–2018 season. METHODS: Historical data from the 2005/2006 to 2016/2018 influenza season performance seasons were provided by a network of 412 primary health centers in charge of influenza like illness (ILI) sentinel surveillance. We used the WHO averages and the moving epidemic method (MEM) to evaluate the proportion of ILI visits among all outpatient consultations (ILI%) as a proxy for influenza activity. We also used the MEM method to evaluate three seasons of composite data (ILI% multiplied by percent of ILI with laboratory-confirmed influenza) as recommended by WHO. RESULTS: The WHO method estimated the seasonal ILI% threshold at 0.9%. The annual epidemic period began on average at week 46 and lasted an average of 18 weeks. The MEM model estimated the epidemic threshold (corresponding to the WHO seasonal threshold) at 1.5% of ILI visits among all outpatient consultations. The annual epidemic period began on week 49 and lasted on average 14 weeks. Intensity thresholds were similar using both methods. When using the composite measure, the MEM method showed a clearer estimate of the beginning of the influenza epidemic, which was coincident with a sharp increase in confirmed ILI cases. CONCLUSIONS: We found that the threshold methodology presented in the WHO manual is simple to implement and easy to adopt for use by the Moroccan influenza surveillance system. The MEM method is more statistically sophisticated and may allow a better detection of the start of seasonal epidemics. Incorporation of virologic data into the composite parameter as recommended by WHO has the potential to increase the accuracy of seasonal threshold estimation. |
format | Online Article Text |
id | pubmed-7323370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73233702020-06-29 Establishing seasonal and alert influenza thresholds in Morocco Rguig, Ahmed Cherkaoui, Imad McCarron, Margaret Oumzil, Hicham Triki, Soumia Elmbarki, Houria Bimouhen, Abderrahman El Falaki, Fatima Regragui, Zakia Ihazmad, Hassan Nejjari, Chakib Youbi, Mohammed BMC Public Health Research Article BACKGROUND: Several statistical methods of variable complexity have been developed to establish thresholds for influenza activity that may be used to inform public health guidance. We compared the results of two methods and explored how they worked to characterize the 2018 influenza season performance–2018 season. METHODS: Historical data from the 2005/2006 to 2016/2018 influenza season performance seasons were provided by a network of 412 primary health centers in charge of influenza like illness (ILI) sentinel surveillance. We used the WHO averages and the moving epidemic method (MEM) to evaluate the proportion of ILI visits among all outpatient consultations (ILI%) as a proxy for influenza activity. We also used the MEM method to evaluate three seasons of composite data (ILI% multiplied by percent of ILI with laboratory-confirmed influenza) as recommended by WHO. RESULTS: The WHO method estimated the seasonal ILI% threshold at 0.9%. The annual epidemic period began on average at week 46 and lasted an average of 18 weeks. The MEM model estimated the epidemic threshold (corresponding to the WHO seasonal threshold) at 1.5% of ILI visits among all outpatient consultations. The annual epidemic period began on week 49 and lasted on average 14 weeks. Intensity thresholds were similar using both methods. When using the composite measure, the MEM method showed a clearer estimate of the beginning of the influenza epidemic, which was coincident with a sharp increase in confirmed ILI cases. CONCLUSIONS: We found that the threshold methodology presented in the WHO manual is simple to implement and easy to adopt for use by the Moroccan influenza surveillance system. The MEM method is more statistically sophisticated and may allow a better detection of the start of seasonal epidemics. Incorporation of virologic data into the composite parameter as recommended by WHO has the potential to increase the accuracy of seasonal threshold estimation. BioMed Central 2020-06-29 /pmc/articles/PMC7323370/ /pubmed/32600376 http://dx.doi.org/10.1186/s12889-020-09145-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Rguig, Ahmed Cherkaoui, Imad McCarron, Margaret Oumzil, Hicham Triki, Soumia Elmbarki, Houria Bimouhen, Abderrahman El Falaki, Fatima Regragui, Zakia Ihazmad, Hassan Nejjari, Chakib Youbi, Mohammed Establishing seasonal and alert influenza thresholds in Morocco |
title | Establishing seasonal and alert influenza thresholds in Morocco |
title_full | Establishing seasonal and alert influenza thresholds in Morocco |
title_fullStr | Establishing seasonal and alert influenza thresholds in Morocco |
title_full_unstemmed | Establishing seasonal and alert influenza thresholds in Morocco |
title_short | Establishing seasonal and alert influenza thresholds in Morocco |
title_sort | establishing seasonal and alert influenza thresholds in morocco |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323370/ https://www.ncbi.nlm.nih.gov/pubmed/32600376 http://dx.doi.org/10.1186/s12889-020-09145-y |
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