美国斯坦福大学的一项新研究挑战了此前对长新冠（Long COVID）普遍性和持续时间的认知 1。研究团队分析了超过2.44亿美国人的44亿份医疗保险记录，发现早期研究可能因样本偏差而高估了长新冠的患病率 1。采用新的分析方法后，在感染后4至12个月内，可归因于长新冠的健康结果比传统方法减少了98% 1。合著者Steven Goodman表示，长新冠可能与其他病毒后综合征更相似 1。
澳大利亚专家强调，尽管统计方法需改进，但缺乏可靠诊断测试导致部分病例可能被漏报或资源分配不足，仍需持续关注该疾病的管理和治疗 1。昆士兰大学Paul Griffin教授指出，目前不存在长新冠的临床检测手段 1。澳洲定义长新冠为确诊新冠后症状持续至少12周 1。澳大利亚政府预测，截至2023年底累计长新冠病例将超过130万例 1。
A recent study conducted by researchers at Stanford University in the United States challenges previous understandings regarding the prevalence and duration of long COVID. 1 By analyzing 4.4 billion medical insurance records covering more than 244 million Americans, the team discovered that earlier estimates may have been inflated due to sample bias. 1 Their revised methodology indicates that health outcomes attributable to long COVID within four to twelve months post-infection were reduced by 98% compared to traditional measurement approaches. 1
Despite these statistical adjustments, experts in Australia emphasize that the lack of a reliable clinical diagnostic test remains a significant hurdle, potentially leading to underreported cases and inadequate resource allocation. 1 Professor Paul Griffin from the University of Queensland notes that there is currently no standard clinical test for identifying long COVID. 1 The Australian government had projected that cumulative cases would exceed 1.3 million by the end of 2023, based on a definition requiring symptoms to persist for at least 12 weeks after a confirmed infection. 1 Steven Goodman, one of the study's co-authors, suggests that long COVID may be more similar to other post-viral syndromes than previously thought. 1
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