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意大利疫情中心(伦巴第大区)流感样疾病与实验室确诊 COVID-19 病例的发病率和流行病学特征的比较研究。

A comparative study between the incidence and epidemiological features of Influenza-Like Illness and laboratory-confirmed COVID-19 cases in the Italian epicenter (Lombardy).

机构信息

Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.

DG Welfare, Regione Lombardia, Milan, Italy.

出版信息

J Infect Public Health. 2021 May;14(5):674-680. doi: 10.1016/j.jiph.2021.02.003. Epub 2021 Feb 23.

Abstract

INTRODUCTION

In Lombardy, the influenza surveillance system relies on sentinel physicians that weekly report data on the number of Influenza-Like Illness (ILI) and a part of them also collect nasopharyngeal samples for virologic analyses. This study aims at comparing the ILI incidence of 2019-2020 influenza season with the incidence of COVID-19 cases in order to better understand the current epidemic and to evaluate whether the implementation of ILI surveillance system could succeed in early detection and monitoring of COVID-19 diffusion.

METHODS

The distribution of ILI cases in the seasons 2017-2018, 2018-2019 and 2019-2020 was taken in consideration and the curve trends were compared and analyzed according to geographical areas, age groups and time differences.

RESULTS

The curve trends presented a similar pattern up to the 9th week; in fact, a reduction in the ILI incidence rate was observed in the 2017-2018 and 2018-2019 season but in the 2019-2020 an increase in the reported ILI emerged. The relation between the numbers reported by 2019-2020 ILI surveillance and those reported for COVID-19 is supported by the curve trends, the correspondence between age groups, the correspondence by geographical location, and also by the results of the nasopharyngeal swab tests performed.

DISCUSSION

The influenza surveillance system is an effective tool for early detection of COVID-19. It may provide timely and high-quality data evaluating the SARS-CoV-2 burden among population with ILI. Implementation of the system has to be prioritized in order to identify any future novel respiratory pathogen with pandemic potential.

摘要

简介

在伦巴第大区,流感监测系统依赖于每周报告流感样疾病(ILI)数量的哨点医生,其中一部分医生还采集鼻咽拭子进行病毒学分析。本研究旨在比较 2019-2020 年流感季节的 ILI 发病率与 COVID-19 病例的发病率,以便更好地了解当前的疫情,并评估 ILI 监测系统的实施是否能够成功地早期发现和监测 COVID-19 的传播。

方法

考虑了 2017-2018、2018-2019 和 2019-2020 赛季的 ILI 病例分布,并根据地理区域、年龄组和时间差异对曲线趋势进行了比较和分析。

结果

曲线趋势在第 9 周之前呈现出相似的模式;事实上,2017-2018 和 2018-2019 赛季的 ILI 发病率有所下降,但在 2019-2020 赛季报告的 ILI 发病率有所上升。2019-2020 年 ILI 监测报告的数字与 COVID-19 报告的数字之间的关系得到了曲线趋势、年龄组对应关系、地理位置对应关系以及进行的鼻咽拭子检测结果的支持。

讨论

流感监测系统是早期发现 COVID-19 的有效工具。它可以提供有关具有 ILI 的人群中 SARS-CoV-2 负担的及时和高质量数据。为了识别任何具有大流行潜力的未来新型呼吸道病原体,必须优先实施该系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492b/7901382/df4c3937aebc/gr1_lrg.jpg

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