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利用监测数据评估定义流感基线和阈值的工具,埃及,2016/17 年季节。

Evaluating tools to define influenza baseline and threshold values using surveillance data, Egypt, season 2016/17.

机构信息

Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt.

Dirección General de Salud Pública, Consejería de Sanidad, Valladolid, Spain.

出版信息

J Infect Public Health. 2020 Mar;13(3):430-437. doi: 10.1016/j.jiph.2019.05.005. Epub 2019 May 26.

Abstract

BACKGROUND

Establishing influenza thresholds and transmission intensity can help evaluate seasonal changes in influenza severity and potential pandemics. We aimed to evaluate the moving epidemic method (MEM) for calculating influenza thresholds for season 2016/17 in Egypt using four parameters, to identify the most useful parameter. Also to measure the agreement between both the country-specific statistical empirical method and World Health Organization method to MEM for determining the length and intensity level of activity of the influenza season.

METHODS

Routinely epidemiological and laboratory data from sentinel surveillance sites for Severe Acute Respiratory Infection (SARI) and influenza-like illness (ILI) were used for calculating thresholds for seasons between 2010/11 and 2015/16 to test 2016/17 season. The parameters calculated were: screened ILI consultation rate × 1000, screened ILI composite parameter, influenza positivity percentage among sampled SARI cases, and influenza positivity percentage among sampled ILI and SARI cases. These parameters assess seasonality and intensity of influenza activity using the three proposed methods (mentioned above). Agreement between the three methods was done using several approaches.

RESULTS

The intensity of influenza activity by MEM was lower than the other two methods. Agreement between MEM and each of the other two techniques varied appreciably from good to very good for seasonal duration, and poor to fair for intensity level. In addition, parameters including laboratory data showed a pattern of bi-wave activity; the first wave occurred in winter mostly between epidemiological weeks 39 and 52 and the second occurred in spring mostly between weeks 12 and 17.

CONCLUSION

Parameters including laboratory data were more useful in defining seasonality of influenza. Further exploration of the MEM model in future seasons may help to provide a more comprehensive understanding of its use and application.

摘要

背景

确定流感阈值和传播强度有助于评估流感严重程度的季节性变化和潜在的大流行。我们旨在使用四个参数评估移动流行方法(MEM)计算埃及 2016/17 年季节的流感阈值,以确定最有用的参数。还评估了国家特定统计经验方法和世界卫生组织方法与 MEM 确定流感季节活动的长度和强度水平的一致性。

方法

使用严重急性呼吸道感染(SARI)和流感样疾病(ILI)监测点的常规流行病学和实验室数据来计算 2010/11 年至 2015/16 年期间的季节阈值,以检验 2016/17 年季节。计算的参数包括:筛选的 ILI 就诊率×1000、筛选的 ILI 综合参数、抽样 SARI 病例中流感阳性百分比以及抽样 ILI 和 SARI 病例中流感阳性百分比。这些参数使用三种方法(如上所述)评估流感活动的季节性和强度。使用几种方法评估三种方法之间的一致性。

结果

MEM 的流感活动强度低于其他两种方法。MEM 与其他两种技术之间的一致性,在季节持续时间方面差异很大,从良好到非常好,而在强度水平方面则从较差到中等。此外,包括实验室数据在内的参数显示出双峰活动模式;第一个波发生在冬季,主要在流行病学第 39 周至第 52 周之间,第二个波发生在春季,主要在第 12 周至第 17 周之间。

结论

包括实验室数据在内的参数在确定流感季节性方面更有用。在未来的季节中进一步探索 MEM 模型可能有助于更全面地了解其使用和应用。

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