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2020年3月西班牙博里亚纳大规模聚集活动期间新冠疫情病例报告不足情况:一项横断面研究

Underreporting of Cases in the COVID-19 Outbreak of Borriana (Spain) during Mass Gathering Events in March 2020: A Cross-Sectional Study.

作者信息

Domènech-Montoliu Salvador, Pac-Sa Maria Rosario, Sala-Trull Diego, Del Rio-González Alba, Sanchéz-Urbano Manuel, Satorres-Martinez Paloma, Blasco-Gari Roser, Casanova-Suarez Juan, Gil-Fortuño Maria, López-Diago Laura, Notari-Rodríguez Cristina, Pérez-Olaso Óscar, Romeu-Garcia Maria Angeles, Ruiz-Puig Raquel, Aleixandre-Gorriz Isabel, Domènech-León Carmen, Arnedo-Pena Alberto

机构信息

Medical Direction University Hospital de la Plana, 12540 Vila-Real, Spain.

Public Health Center, 12003 Castelló de la Plana, Spain.

出版信息

Epidemiologia (Basel). 2024 Aug 9;5(3):499-510. doi: 10.3390/epidemiologia5030034.

Abstract

Determining the number of cases of an epidemic is the first function of epidemiological surveillance. An important underreporting of cases was observed in many locations during the first wave of the COVID-19 pandemic. To estimate this underreporting in the COVID-19 outbreak of Borriana (Valencia Community, Spain) in March 2020, a cross-sectional study was performed in June 2020 querying the public health register. Logistic regression models were used. Of a total of 468 symptomatic COVID-19 cases diagnosed in the outbreak through anti-SARS-CoV-2 serology, 36 cases were reported (7.7%), resulting in an underreporting proportion of 92.3% (95% confidence interval [CI], 89.5-94.6%), with 13 unreported cases for every reported case. Only positive SARS-CoV-2 polymerase chain reaction cases were predominantly reported due to a limited testing capacity and following a national protocol. Significant factors associated with underreporting included no medical assistance for COVID-19 disease, with an adjusted odds ratio [aOR] of 10.83 (95% CI 2.49-47.11); no chronic illness, aOR = 2.81 (95% CI 1.28-6.17); middle and lower social classes, aOR = 3.12 (95% CI 1.42-6.85); younger age, aOR = 0.97 (95% CI 0.94-0.99); and a shorter duration of illness, aOR = 0.98 (95% CI 0.97-0.99). To improve the surveillance of future epidemics, new approaches are recommended.

摘要

确定流行病的病例数是流行病学监测的首要功能。在新冠疫情第一波期间,许多地方都发现了病例报告严重不足的情况。为了估算2020年3月西班牙巴伦西亚自治区博里亚纳新冠疫情中的病例漏报情况,2020年6月开展了一项横断面研究,查询公共卫生登记册。使用了逻辑回归模型。在此次疫情中通过抗SARS-CoV-2血清学诊断出的468例有症状新冠病例中,仅报告了36例(7.7%),漏报比例为92.3%(95%置信区间[CI],89.5 - 94.6%),即每报告1例就有13例未报告。由于检测能力有限且遵循国家方案,主要报告的只是SARS-CoV-2聚合酶链反应检测呈阳性的病例。与漏报相关的显著因素包括未因新冠疾病接受医疗救助,调整后的优势比[aOR]为10.83(95% CI 2.49 - 47.11);无慢性病,aOR = 2.81(95% CI 1.28 - 6.17);社会中下层,aOR = 3.12(95% CI 1.42 - 6.85);年龄较小,aOR = 0.97(95% CI 0.94 - 0.99);以及病程较短,aOR = 0.98(95% CI 0.97 - 0.99)。为改进未来疫情的监测,建议采用新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73cd/11348374/e14d40d961e9/epidemiologia-05-00034-g001.jpg

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