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运用移动流行法确定伊拉克流感样疾病的未来流行阈值和强度。

Identify future epidemic threshold and intensity for influenza-like illness in Iraq by using the moving epidemic method.

作者信息

Khaleel Hanan Abdulghafoor, Alhilfi Riyadh Abdulameer, Rawaf Salman, Tabche Celine

机构信息

Communicable Diseases Control Centre, Directorate of Public Health, Ministry of Health, Baghdad, Iraq.

Directorate of Public Health, Ministry of Health, Baghdad, Iraq.

出版信息

IJID Reg. 2023 Dec 21;10:126-131. doi: 10.1016/j.ijregi.2023.12.005. eCollection 2024 Mar.

DOI:10.1016/j.ijregi.2023.12.005
PMID:38260712
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10801321/
Abstract

OBJECTIVES

Influenza-like illness (ILI) entered the Iraq surveillance system in 2021. The alert threshold was determined using the cumulative sum 2 method, which did not provide other characteristics. This study uses the moving epidemic method (MEM) to describe duration and estimate alert thresholds for ILI in Iraq for 2023-2024.

METHODS

MEM default package was used to estimate influenza 2023-2024 epidemic thresholds. Analysis was repeated using optimum parameter of epidemic timing for fixed criteria method, which is 3.3. Arithmetic means and 95% confidence interval upper limit were used to estimate threshold. Geometric mean and 40%, 90%, and 97.3% confidence interval upper limits were used to estimate intensity levels. Aggregated Centers for Disease Control and Prevention surveillance data were used to detect epidemic thresholds, length, sensitivity, and predictive values.

RESULTS

ILI activity starts at week 30 and lasts 7 weeks. Optimized epidemic threshold is 4513 cases, lower than default (4540 cases). Optimized medium-intensity level was higher than default, and high and very high-intensity levels were lower.

CONCLUSIONS

MEM is essential to determine an influenza epidemic's threshold and intensity levels. Despite requiring 3-5 years of data, using it on data for 2.5 years has resulted in an epidemic threshold slightly higher than the threshold calculated using the cumulative sum 2 method.

摘要

目的

流感样疾病(ILI)于2021年纳入伊拉克监测系统。采用累积和2方法确定警报阈值,但该方法未提供其他特征。本研究使用移动流行法(MEM)描述2023 - 2024年伊拉克ILI的持续时间并估计警报阈值。

方法

使用MEM默认软件包估计2023 - 2024年流感流行阈值。使用固定标准方法的流行时间最佳参数(即3.3)重复进行分析。采用算术平均值和95%置信区间上限来估计阈值。使用几何平均值以及40%、90%和97.3%置信区间上限来估计强度水平。利用美国疾病控制与预防中心汇总的监测数据来检测流行阈值、持续时间、敏感性和预测值。

结果

ILI活动于第30周开始,持续7周。优化后的流行阈值为4513例,低于默认值(4540例)。优化后的中等强度水平高于默认值,而高强度和极高强度水平则低于默认值。

结论

MEM对于确定流感流行的阈值和强度水平至关重要。尽管需要3至5年的数据,但将其应用于2.5年的数据所得到的流行阈值略高于使用累积和2方法计算出的阈值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7066/10801321/bca092469e5f/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7066/10801321/702d43d6730b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7066/10801321/9f947f490461/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7066/10801321/17f25d3f7ac9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7066/10801321/bca092469e5f/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7066/10801321/702d43d6730b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7066/10801321/9f947f490461/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7066/10801321/17f25d3f7ac9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7066/10801321/bca092469e5f/gr4.jpg

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