McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, United States.
Department of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, United States.
JMIR Public Health Surveill. 2024 Jul 15;10:e51007. doi: 10.2196/51007.
The COVID-19 pandemic, caused by SARS-CoV-2, has had a profound impact worldwide, leading to widespread morbidity and mortality. Vaccination against COVID-19 is a critical tool in controlling the spread of the virus and reducing the severity of the disease. However, the rapid development and deployment of COVID-19 vaccines have raised concerns about potential adverse events following immunization (AEFIs). Understanding the temporal and spatial patterns of these AEFIs is crucial for an effective public health response and vaccine safety monitoring.
This study aimed to analyze the temporal and spatial characteristics of AEFIs associated with COVID-19 vaccines in the United States reported to the Vaccine Adverse Event Reporting System (VAERS), thereby providing insights into the patterns and distributions of the AEFIs, the safety profile of COVID-19 vaccines, and potential risk factors associated with the AEFIs.
We conducted a retrospective analysis of administration data from the Centers for Disease Control and Prevention (n=663,822,575) and reports from the surveillance system VAERS (n=900,522) between 2020 and 2022. To gain a broader understanding of postvaccination AEFIs reported, we categorized them into system organ classes (SOCs) according to the Medical Dictionary for Regulatory Activities. Additionally, we performed temporal analysis to examine the trends of AEFIs in all VAERS reports, those related to Pfizer-BioNTech and Moderna, and the top 10 AEFI trends in serious reports. We also compared the similarity of symptoms across various regions within the United States.
Our findings revealed that the most frequently reported symptoms following COVID-19 vaccination were headache (n=141,186, 15.68%), pyrexia (n=122,120, 13.56%), and fatigue (n=121,910, 13.54%). The most common symptom combination was chills and pyrexia (n=56,954, 6.32%). Initially, general disorders and administration site conditions (SOC 22) were the most prevalent class reported. Moderna exhibited a higher reporting rate of AEFIs compared to Pfizer-BioNTech. Over time, we observed a decreasing reporting rate of AEFIs associated with COVID-19 vaccines. In addition, the overall rates of AEFIs between the Pfizer-BioNTech and Moderna vaccines were comparable. In terms of spatial analysis, the middle and north regions of the United States displayed a higher reporting rate of AEFIs associated with COVID-19 vaccines, while the southeast and south-central regions showed notable similarity in symptoms reported.
This study provides valuable insights into the temporal and spatial patterns of AEFIs associated with COVID-19 vaccines in the United States. The findings underscore the critical need for increasing vaccination coverage, as well as ongoing surveillance and monitoring of AEFIs. Implementing targeted monitoring programs can facilitate the effective and efficient management of AEFIs, enhancing public confidence in future COVID-19 vaccine campaigns.
由 SARS-CoV-2 引起的 COVID-19 大流行对全球产生了深远影响,导致广泛的发病率和死亡率。接种 COVID-19 疫苗是控制病毒传播和降低疾病严重程度的重要工具。然而,COVID-19 疫苗的快速开发和部署引发了对疫苗接种后不良反应(AEFI)的潜在关注。了解这些 AEFI 的时间和空间模式对于有效的公共卫生应对和疫苗安全监测至关重要。
本研究旨在分析美国疫苗不良事件报告系统(VAERS)报告的与 COVID-19 疫苗相关的 AEFI 的时间和空间特征,从而深入了解 AEFI 的模式和分布、COVID-19 疫苗的安全性概况以及与 AEFI 相关的潜在风险因素。
我们对 2020 年至 2022 年期间疾病控制与预防中心(CDC)的接种数据(n=663,822,575)和监测系统 VAERS(n=900,522)的报告进行了回顾性分析。为了更全面地了解接种后报告的 AEFI,我们根据监管活动医学词典(Medical Dictionary for Regulatory Activities)将其分类为系统器官类别(SOC)。此外,我们进行了时间分析,以检查所有 VAERS 报告、与辉瑞-生物技术公司和 Moderna 相关的报告以及严重报告中前 10 个 AEFI 趋势的 AEFI 趋势。我们还比较了美国各地区之间症状的相似性。
我们的研究结果表明,接种 COVID-19 疫苗后最常报告的症状是头痛(n=141,186,15.68%)、发热(n=122,120,13.56%)和疲劳(n=121,910,13.54%)。最常见的症状组合是寒战和发热(n=56,954,6.32%)。最初,一般疾病和接种部位情况(SOC 22)是报告最多的类别。与辉瑞-生物技术公司相比,Moderna 报告的 AEFI 发生率更高。随着时间的推移,我们观察到与 COVID-19 疫苗相关的 AEFI 报告率呈下降趋势。此外,辉瑞-生物技术公司和 Moderna 疫苗的 AEFI 总发生率相当。在空间分析方面,美国中北部地区报告与 COVID-19 疫苗相关的 AEFI 发生率较高,而东南部和中南部地区报告的症状则具有显著的相似性。
本研究提供了有关美国 COVID-19 疫苗相关 AEFI 的时间和空间模式的有价值的见解。研究结果强调了增加疫苗接种覆盖率以及持续监测和监测 AEFI 的迫切需要。实施有针对性的监测计划可以促进 AEFI 的有效和高效管理,增强公众对未来 COVID-19 疫苗接种活动的信心。