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巴西流感样疾病哨点监测系统设计评估。

Evaluation of the design of the influenza-like illness sentinel surveillance system in Brazil.

机构信息

Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.

Escola de Matemática Aplicada, Fundação Getulio Vargas, Rio de Janeiro, Brasil.

出版信息

Cad Saude Publica. 2024 Jul 29;40(6):e00028823. doi: 10.1590/0102-311XEN028823. eCollection 2024.

DOI:10.1590/0102-311XEN028823
PMID:39082558
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11321611/
Abstract

The influenza-like illness (ILI) sentinel surveillance operates in Brazil to identify respiratory viruses of public health relevance circulating in the country and was first implemented in 2000. Recently, the COVID-19 pandemic reinforced the importance of early detection of the circulation of new viruses in Brazil. Therefore, an analysis of the design of the ILI sentinel surveillance is timely. To this end, we simulated a sentinel surveillance network, identifying the municipalities that would be part of the network according to the criteria defined in the design of the ILI sentinel surveillance and, based on data from tested cases of severe acute respiratory illness (SARI) from 2014 to 2019, we drew samples for each sentinel municipality per epidemiological week. The draw was performed 1,000 times, obtaining the median and 95% quantile interval (95%QI) of virus positivity by Federative Unit and epidemiological week. According to the ILI sentinel surveillance design criteria, sentinel units would be in 64 municipalities, distributed mainly in capitals and their metropolitan areas, recommending 690 weekly samples. The design showed good sensitivity (91.65% considering the 95%QI) for qualitatively detecting respiratory viruses, even those with low circulation. However, there was important uncertainty in the quantitative estimate of positivity, reaching at least 20% in 11.34% of estimates. The results presented here aim to assist in evaluating and updating the ILI sentinel surveillance design. Strategies to reduce uncertainty in positivity estimates need to be evaluated, as does the need for greater spatial coverage.

摘要

流感样疾病(ILI)哨点监测在巴西运行,以识别在该国流行的具有公共卫生相关性的呼吸道病毒,该监测于 2000 年首次实施。最近,COVID-19 大流行增强了早期检测巴西新病毒传播的重要性。因此,对 ILI 哨点监测设计进行分析是及时的。为此,我们模拟了一个哨点监测网络,根据 ILI 哨点监测设计中定义的标准确定将成为网络一部分的城市,并根据 2014 年至 2019 年严重急性呼吸道疾病(SARI)检测病例的数据,为每个哨点城市绘制了每个流行病学周的样本。进行了 1000 次抽取,按联邦单位和流行病学周计算病毒阳性的中位数和 95%分位数区间(95%QI)。根据 ILI 哨点监测设计标准,哨点单位将分布在 64 个城市,主要分布在首府及其大都市区,建议每周抽取 690 个样本。该设计显示出良好的敏感性(考虑到 95%QI,为 91.65%),可定性检测呼吸道病毒,即使是那些循环量较低的病毒。然而,阳性率的定量估计存在重要的不确定性,在至少 11.34%的估计中达到至少 20%。这里呈现的结果旨在协助评估和更新 ILI 哨点监测设计。需要评估降低阳性率估计不确定性的策略,以及需要更大的空间覆盖范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/6fda161669dc/1678-4464-csp-40-06-EN028823-gf8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/697209bb60a0/1678-4464-csp-40-06-EN028823-gf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/27a697f146be/1678-4464-csp-40-06-EN028823-gf2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/176e79f3ce3c/1678-4464-csp-40-06-EN028823-gf3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/2e8cd181413b/1678-4464-csp-40-06-EN028823-gf4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/2012655d45c3/1678-4464-csp-40-06-EN028823-gf5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/b6674bd69ef2/1678-4464-csp-40-06-EN028823-gf6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/375b215b7d3a/1678-4464-csp-40-06-EN028823-gf7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/6fda161669dc/1678-4464-csp-40-06-EN028823-gf8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/697209bb60a0/1678-4464-csp-40-06-EN028823-gf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/27a697f146be/1678-4464-csp-40-06-EN028823-gf2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/176e79f3ce3c/1678-4464-csp-40-06-EN028823-gf3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/2e8cd181413b/1678-4464-csp-40-06-EN028823-gf4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/2012655d45c3/1678-4464-csp-40-06-EN028823-gf5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/b6674bd69ef2/1678-4464-csp-40-06-EN028823-gf6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/375b215b7d3a/1678-4464-csp-40-06-EN028823-gf7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0bf/11321611/6fda161669dc/1678-4464-csp-40-06-EN028823-gf8.jpg

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