Establishing seasonal and alert influenza thresholds in Morocco

Author:

Rguig Ahmed,Cherkaoui ImadORCID,McCarron Margaret,Oumzil Hicham,Triki Soumia,Elmbarki Houria,Bimouhen Abderrahman,El Falaki Fatima,Regragui Zakia,Ihazmad Hassan,Nejjari Chakib,Youbi Mohammed

Abstract

Abstract 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.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference45 articles.

1. Iuliano AD, et al. Estimates of global seasonal influenza-associated respiratory mortality: a modeling study. Lancet. 2018;391:1285–300..

2. World Health Organization. Influenza (Seasonal) Fact sheet 6 November 2018. http://www.who.int/mediacentre/factsheets/fs211/en/. Accessed 7 Mar 2020.

3. Ezzine H, Cherkaoui I, Oumzil H, Mrabet M, et al. Epidémiologie de la grippe et facteurs de risque d’Infection Respiratoire Aiguë Sévère au Maroc, saisons 2016/2017 et 2017/2018. Bulletin d’Epidémiologie et de Santé Publique. 2018;2018:27–33 https://www.sante.gov.ma/Publications/Pages/Bullten_%c3%89pid%c3%a9miologique.aspx. Accessed 7 Mar 2020.

4. Cox N. Influenza seasonality: timing and formulation of vaccines. Bull World Health Organ. 2014;92(5):311.

5. World Health Organization. Global epidemiological surveillance standards for influenza. 2014. https://www.who.int/influenza/resources/documents/WHO_Epidemiological_Influenza_Surveillance_Standards_2014.pdf. Accessed 7 May 2020.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3