Establishing seasonal and alert influenza thresholds in Morocco.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
29 Jun 2020
Historique:
received: 07 04 2020
accepted: 18 06 2020
entrez: 1 7 2020
pubmed: 1 7 2020
medline: 18 11 2020
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 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.

Identifiants

pubmed: 32600376
doi: 10.1186/s12889-020-09145-y
pii: 10.1186/s12889-020-09145-y
pmc: PMC7323370
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1029

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Auteurs

Ahmed Rguig (A)

Direction of Epidemiology and Disease Control, MoH, Rabat, Morocco.

Imad Cherkaoui (I)

Direction of Epidemiology and Disease Control, MoH, Rabat, Morocco. cherkaoui_imad@yahoo.fr.

Margaret McCarron (M)

Centers for Disease Control and Prevention, Atlanta, USA.

Hicham Oumzil (H)

National Institute of Hygiène, NIC, MoH, Rabat, Morocco.

Soumia Triki (S)

WHO Office of Morocco, Rabat, Morocco.

Houria Elmbarki (H)

Direction of Epidemiology and Disease Control, MoH, Rabat, Morocco.

Abderrahman Bimouhen (A)

National Institute of Hygiène, NIC, MoH, Rabat, Morocco.

Fatima El Falaki (F)

National Institute of Hygiène, NIC, MoH, Rabat, Morocco.

Zakia Regragui (Z)

National Institute of Hygiène, NIC, MoH, Rabat, Morocco.

Hassan Ihazmad (H)

National Institute of Hygiène, NIC, MoH, Rabat, Morocco.

Chakib Nejjari (C)

University Mohammed VI of Health Sciences, Casablanca, Morocco.

Mohammed Youbi (M)

Direction of Epidemiology and Disease Control, MoH, Rabat, Morocco.

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