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 usin...

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Published in:Influenza and other respiratory viruses Vol. 14; no. 5; pp. 507 - 514
Main Authors: 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
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Language:English
Published: England John Wiley & Sons, Inc 01-09-2020
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Abstract 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.
AbstractList BACKGROUNDDefining 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. METHODSWe 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. RESULTSThe 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. CONCLUSIONSThis 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.
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.
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.
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. 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. 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. 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.
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. 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. 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. 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.
Audience Academic
Author Abid, Salma
Bettaieb, Jihene
Abdeddaiem, Naima
Bouabid, Leila
Bouguerra, Hind
Yazidi, Rihab
Bouafif Ben Alaya, Nissaf
Cherif, Amal
Kouni Chahed, Mohamed
Maazaoui, Latifa
Zorraga, Mokhtar
Bougatef, Souha
Amine, Slim
Ben Salah, Afif
Boutouria, Elyes
ElMoussi, Awatef
AuthorAffiliation 5 Faculté de Médecine de Tunis Université de Tunis El Manar Tunis Tunisia
4 Microbiology Laboratory Virology Unit Charles Nicolle Hospital Tunis Tunisia
6 Faculté de Médecine de Tunis LR01ES04 Epidémiologie et Prévention des Maladies Cardiovasculaires en Tunisie Université de Tunis El Manar Tunis Tunisia
2 Direction of Primary Health Care Tunis Tunisia
3 Pasteur Institute of Tunis Tunis Tunisia
1 National Observatory of New and Emerging Diseases Ministry of Health Tunis Tunisia
AuthorAffiliation_xml – name: 5 Faculté de Médecine de Tunis Université de Tunis El Manar Tunis Tunisia
– name: 1 National Observatory of New and Emerging Diseases Ministry of Health Tunis Tunisia
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– name: 2 Direction of Primary Health Care Tunis Tunisia
– name: 6 Faculté de Médecine de Tunis LR01ES04 Epidémiologie et Prévention des Maladies Cardiovasculaires en Tunisie Université de Tunis El Manar Tunis Tunisia
– name: 4 Microbiology Laboratory Virology Unit Charles Nicolle Hospital Tunis Tunisia
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  email: nissafba@yahoo.fr
  organization: Université de Tunis El Manar
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32390333$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_1097_DBP_0000000000001231
crossref_primary_10_3390_ijerph19031677
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Issue 5
Keywords influenza
moving epidemic method
epidemic threshold
ILI surveillance
Language English
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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.
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Hind Bouguerra and Elyes Boutouria equally contributed to this work.
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Snippet Background Defining the start and assessing the intensity of influenza seasons are essential to ensure timely preventive and control measures and to contribute...
Defining the start and assessing the intensity of influenza seasons are essential to ensure timely preventive and control measures and to contribute to the...
Background: Defining the start and assessing the intensity of influenza seasons are essential to ensure timely preventive and control measures and to...
BackgroundDefining the start and assessing the intensity of influenza seasons are essential to ensure timely preventive and control measures and to contribute...
BACKGROUNDDefining the start and assessing the intensity of influenza seasons are essential to ensure timely preventive and control measures and to contribute...
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StartPage 507
SubjectTerms Analysis
Confidence intervals
epidemic threshold
Epidemics
Historical account
ILI surveillance
Illnesses
Influenza
Methods
moving epidemic method
Original
Pandemics
Prevention
Primary care
Respiratory diseases
Seasons
Sensitivity
Thresholds
Viruses
Title Applying the moving epidemic method to determine influenza epidemic and intensity thresholds using influenza‐like illness surveillance data 2009‐2018 in Tunisia
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Firv.12748
https://www.ncbi.nlm.nih.gov/pubmed/32390333
https://www.proquest.com/docview/2434630406
https://www.proquest.com/docview/2464990664
https://search.proquest.com/docview/2401121182
https://pubmed.ncbi.nlm.nih.gov/PMC7431642
Volume 14
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