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Applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in Tunisia
BACKGROUND: Defining the start and assessing the intensity of influenza seasons are essential to ensure timely preventive and control measures and to contribute to the pandemic preparedness. The present study aimed to determine the epidemic and intensity thresholds of influenza season in Tunisia usi...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431642/ https://www.ncbi.nlm.nih.gov/pubmed/32390333 http://dx.doi.org/10.1111/irv.12748 |
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author | Bouguerra, Hind Boutouria, Elyes Zorraga, Mokhtar Cherif, Amal Yazidi, Rihab Abdeddaiem, Naima Maazaoui, Latifa ElMoussi, Awatef Abid, Salma Amine, Slim Bouabid, Leila Bougatef, Souha Kouni Chahed, Mohamed Ben Salah, Afif Bettaieb, Jihene Bouafif Ben Alaya, Nissaf |
author_facet | Bouguerra, Hind Boutouria, Elyes Zorraga, Mokhtar Cherif, Amal Yazidi, Rihab Abdeddaiem, Naima Maazaoui, Latifa ElMoussi, Awatef Abid, Salma Amine, Slim Bouabid, Leila Bougatef, Souha Kouni Chahed, Mohamed Ben Salah, Afif Bettaieb, Jihene Bouafif Ben Alaya, Nissaf |
author_sort | Bouguerra, Hind |
collection | PubMed |
description | BACKGROUND: Defining the start and assessing the intensity of influenza seasons are essential to ensure timely preventive and control measures and to contribute to the pandemic preparedness. The present study aimed to determine the epidemic and intensity thresholds of influenza season in Tunisia using the moving epidemic method. METHODS: We applied the moving epidemic method (MEM) using the R Language implementation (package “mem”). We have calculated the epidemic and the different intensity thresholds from historical data of the past nine influenza seasons (2009‐2010 to 2017‐2018) and assessed the impact of the 2009‐2010 pandemic year. Data used were the weekly influenza‐like illness (ILI) proportions compared with all outpatient acute consultations. The goodness of the model was assessed using a cross validation procedure. RESULTS: The average duration of influenza epidemic during a typical season was 20 weeks and ranged from 11 weeks (2009‐2010 season) to 23 weeks (2015‐2016 season). The epidemic threshold with the exclusion of the pandemic season was 6.25%. It had a very high sensitivity of 85% and a high specificity of 69%. The different levels of intensity were established as follows: low, if ILI proportion is below 9.74%, medium below 12.05%; high below 13.27%; and very high above this last rate. CONCLUSIONS: This is the first mathematically based study of seasonal threshold of influenza in Tunisia. As in other studies in different countries, the model has shown both good specificity and sensitivity, which allows timely and accurate detection of the start of influenza seasons. The findings will contribute to the development of more efficient measures for influenza prevention and control. |
format | Online Article Text |
id | pubmed-7431642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74316422020-09-01 Applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in Tunisia Bouguerra, Hind Boutouria, Elyes Zorraga, Mokhtar Cherif, Amal Yazidi, Rihab Abdeddaiem, Naima Maazaoui, Latifa ElMoussi, Awatef Abid, Salma Amine, Slim Bouabid, Leila Bougatef, Souha Kouni Chahed, Mohamed Ben Salah, Afif Bettaieb, Jihene Bouafif Ben Alaya, Nissaf Influenza Other Respir Viruses Original Articles BACKGROUND: Defining the start and assessing the intensity of influenza seasons are essential to ensure timely preventive and control measures and to contribute to the pandemic preparedness. The present study aimed to determine the epidemic and intensity thresholds of influenza season in Tunisia using the moving epidemic method. METHODS: We applied the moving epidemic method (MEM) using the R Language implementation (package “mem”). We have calculated the epidemic and the different intensity thresholds from historical data of the past nine influenza seasons (2009‐2010 to 2017‐2018) and assessed the impact of the 2009‐2010 pandemic year. Data used were the weekly influenza‐like illness (ILI) proportions compared with all outpatient acute consultations. The goodness of the model was assessed using a cross validation procedure. RESULTS: The average duration of influenza epidemic during a typical season was 20 weeks and ranged from 11 weeks (2009‐2010 season) to 23 weeks (2015‐2016 season). The epidemic threshold with the exclusion of the pandemic season was 6.25%. It had a very high sensitivity of 85% and a high specificity of 69%. The different levels of intensity were established as follows: low, if ILI proportion is below 9.74%, medium below 12.05%; high below 13.27%; and very high above this last rate. CONCLUSIONS: This is the first mathematically based study of seasonal threshold of influenza in Tunisia. As in other studies in different countries, the model has shown both good specificity and sensitivity, which allows timely and accurate detection of the start of influenza seasons. The findings will contribute to the development of more efficient measures for influenza prevention and control. John Wiley and Sons Inc. 2020-05-10 2020-09 /pmc/articles/PMC7431642/ /pubmed/32390333 http://dx.doi.org/10.1111/irv.12748 Text en © 2020 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Bouguerra, Hind Boutouria, Elyes Zorraga, Mokhtar Cherif, Amal Yazidi, Rihab Abdeddaiem, Naima Maazaoui, Latifa ElMoussi, Awatef Abid, Salma Amine, Slim Bouabid, Leila Bougatef, Souha Kouni Chahed, Mohamed Ben Salah, Afif Bettaieb, Jihene Bouafif Ben Alaya, Nissaf Applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in Tunisia |
title | Applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in Tunisia |
title_full | Applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in Tunisia |
title_fullStr | Applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in Tunisia |
title_full_unstemmed | Applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in Tunisia |
title_short | Applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in Tunisia |
title_sort | applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in tunisia |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431642/ https://www.ncbi.nlm.nih.gov/pubmed/32390333 http://dx.doi.org/10.1111/irv.12748 |
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