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全球 2020 年 1 月至 2022 年 4 月 SARS-CoV-2 血清流行率:基于人群的标准化研究的系统评价和荟萃分析。

Global SARS-CoV-2 seroprevalence from January 2020 to April 2022: A systematic review and meta-analysis of standardized population-based studies.

机构信息

World Health Organization, Geneva, Switzerland.

Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

出版信息

PLoS Med. 2022 Nov 10;19(11):e1004107. doi: 10.1371/journal.pmed.1004107. eCollection 2022 Nov.

Abstract

BACKGROUND

Our understanding of the global scale of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection remains incomplete: Routine surveillance data underestimate infection and cannot infer on population immunity; there is a predominance of asymptomatic infections, and uneven access to diagnostics. We meta-analyzed SARS-CoV-2 seroprevalence studies, standardized to those described in the World Health Organization's Unity protocol (WHO Unity) for general population seroepidemiological studies, to estimate the extent of population infection and seropositivity to the virus 2 years into the pandemic.

METHODS AND FINDINGS

We conducted a systematic review and meta-analysis, searching MEDLINE, Embase, Web of Science, preprints, and grey literature for SARS-CoV-2 seroprevalence published between January 1, 2020 and May 20, 2022. The review protocol is registered with PROSPERO (CRD42020183634). We included general population cross-sectional and cohort studies meeting an assay quality threshold (90% sensitivity, 97% specificity; exceptions for humanitarian settings). We excluded studies with an unclear or closed population sample frame. Eligible studies-those aligned with the WHO Unity protocol-were extracted and critically appraised in duplicate, with risk of bias evaluated using a modified Joanna Briggs Institute checklist. We meta-analyzed seroprevalence by country and month, pooling to estimate regional and global seroprevalence over time; compared seroprevalence from infection to confirmed cases to estimate underascertainment; meta-analyzed differences in seroprevalence between demographic subgroups such as age and sex; and identified national factors associated with seroprevalence using meta-regression. We identified 513 full texts reporting 965 distinct seroprevalence studies (41% low- and middle-income countries [LMICs]) sampling 5,346,069 participants between January 2020 and April 2022, including 459 low/moderate risk of bias studies with national/subnational scope in further analysis. By September 2021, global SARS-CoV-2 seroprevalence from infection or vaccination was 59.2%, 95% CI [56.1% to 62.2%]. Overall seroprevalence rose steeply in 2021 due to infection in some regions (e.g., 26.6% [24.6 to 28.8] to 86.7% [84.6% to 88.5%] in Africa in December 2021) and vaccination and infection in others (e.g., 9.6% [8.3% to 11.0%] in June 2020 to 95.9% [92.6% to 97.8%] in December 2021, in European high-income countries [HICs]). After the emergence of Omicron in March 2022, infection-induced seroprevalence rose to 47.9% [41.0% to 54.9%] in Europe HIC and 33.7% [31.6% to 36.0%] in Americas HIC. In 2021 Quarter Three (July to September), median seroprevalence to cumulative incidence ratios ranged from around 2:1 in the Americas and Europe HICs to over 100:1 in Africa (LMICs). Children 0 to 9 years and adults 60+ were at lower risk of seropositivity than adults 20 to 29 (p < 0.001 and p = 0.005, respectively). In a multivariable model using prevaccination data, stringent public health and social measures were associated with lower seroprevalence (p = 0.02). The main limitations of our methodology include that some estimates were driven by certain countries or populations being overrepresented.

CONCLUSIONS

In this study, we observed that global seroprevalence has risen considerably over time and with regional variation; however, over one-third of the global population are seronegative to the SARS-CoV-2 virus. Our estimates of infections based on seroprevalence far exceed reported Coronavirus Disease 2019 (COVID-19) cases. Quality and standardized seroprevalence studies are essential to inform COVID-19 response, particularly in resource-limited regions.

摘要

背景

我们对严重急性呼吸系统综合症冠状病毒 2 (SARS-CoV-2)全球感染程度的了解仍不完整:常规监测数据低估了感染情况,且无法推断人群免疫力;无症状感染占主导地位,诊断也存在获取途径不均等的问题。我们对 SARS-CoV-2 血清流行率研究进行了荟萃分析,并将其标准化为世界卫生组织(WHO)通用人群血清流行病学研究协议(WHO Unity)中描述的内容,以估计大流行 2 年后人群感染和对该病毒的血清阳性率。

方法和发现

我们进行了系统评价和荟萃分析,检索了 MEDLINE、Embase、Web of Science、预印本和灰色文献,以查找 2020 年 1 月 1 日至 2022 年 5 月 20 日期间发表的 SARS-CoV-2 血清流行率研究。审查方案在 PROSPERO(CRD42020183634)中进行了注册。我们纳入了符合以下标准的一般人群横断面和队列研究:符合检测质量阈值(90%的敏感性,97%的特异性;人道主义环境中的例外情况);研究人群样本框不清楚或封闭。符合 WHO Unity 协议的合格研究被提取并进行了重复评估,使用改良的 Joanna Briggs 研究所检查表评估偏倚风险。我们按国家和月份进行了血清流行率的荟萃分析,通过汇总数据来估计随时间推移的区域和全球血清流行率;通过比较感染病例和确诊病例的血清流行率来估计漏检情况;通过荟萃分析年龄和性别等人口统计学亚组之间的血清流行率差异;并使用元回归分析确定与血清流行率相关的国家因素。我们确定了 513 篇全文,报告了 965 项不同的血清流行率研究(41%为中低收入国家[LMICs]),共纳入了 5346095 名参与者,时间跨度为 2020 年 1 月至 2022 年 4 月,其中 459 项研究具有国家/次国家范围的低/中度偏倚风险,在进一步分析中进行了分析。到 2021 年 9 月,全球 SARS-CoV-2 感染或疫苗接种引起的血清流行率为 59.2%,95%CI[56.1%至 62.2%]。由于某些地区(例如,2021 年 12 月非洲的 26.6%[24.6 至 28.8]至 86.7%[84.6%至 88.5%])和其他地区(例如,2020 年 6 月的 9.6%[8.3%至 11.0%]至 2021 年 12 月的 95.9%[92.6%至 97.8%])的感染和疫苗接种,2021 年整体血清流行率急剧上升。在 2022 年 3 月 Omicron 出现后,感染引起的血清流行率在欧洲高收入国家(HICs)中上升至 47.9%[41.0%至 54.9%],在美洲 HICs 中上升至 33.7%[31.6%至 36.0%]。在 2021 年第三季度(7 月至 9 月),累积发病率与血清流行率比值中位数在美洲和欧洲 HICs 中约为 2:1,在非洲(LMICs)中则超过 100:1。0 至 9 岁的儿童和 60 岁以上的成年人的血清阳性率风险低于 20 至 29 岁的成年人(p<0.001 和 p=0.005)。在使用疫苗接种前数据的多变量模型中,严格的公共卫生和社会措施与较低的血清流行率相关(p=0.02)。我们方法的主要局限性包括某些估计结果受到某些国家或人群过度代表的影响。

结论

在这项研究中,我们观察到全球血清流行率随时间推移和区域差异而显著上升;然而,全球仍有超过三分之一的人口对 SARS-CoV-2 病毒呈血清阴性。我们根据血清流行率估计的感染人数远远超过了报告的 2019 年冠状病毒病(COVID-19)病例。高质量和标准化的血清流行率研究对于了解 COVID-19 应对措施至关重要,尤其是在资源有限的地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b53/9648705/1e434fee50ee/pmed.1004107.g001.jpg

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