Feasibility of evaluating COVID-19 vaccine effectiveness and variant severity through a routine health information exchange.

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES
A. Boulle, A. Heekes, H. Hussey, Reshna Kassanjee, M. Davies
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Abstract

ObjectivesTo date South Africa has experienced four distinct COVID-19 waves due to ancestral, Beta, Delta and Omnicron SARS-CoV-2 variants. We sought to answer pertinent public health questions in a timely manner as new COVID-19 variants emerge(d) using routine health service data linked through a service-facing health information exchange (HIE). ApproachA population cohort was defined amongst regular health service users in the Western Cape Province of South Africa based on recent utilisation of public sector services as reflected in the Provincial Health Data Centre (PHDC) which functions as a HIE.  Infection, hospitalisation and mortality data were derived from routinely linked laboratory, service and national vital registration data sources.  Serology done on residual specimens of patients monitored for HIV and diabetes treatment progress were linked to the PHDC, as were vaccination data from the national vaccination information system.  A single linked and de-identified dataset was exported for analysis purposes. ResultsBased on accessing services in the preceding 3 years, a cohort of 3.5 million adult patients could be enumerated and linked to co-morbidity and SARS-CoV-2 outcome data. Serology from 16,000 specimens spread across the three inter-wave periods, and vaccine data from amongst the 5 million vaccine doses given in the Province, could also be linked.  Variants could be identified by wave or by PCR assay target anomalies during cross-over periods. Publishable variant severity analyses were feasible from the sub-cohort of patients with diagnosed COVID-19, and variant-specific vaccine effectiveness was assessible amongst cases, in the population cohort, and in patients with HIV.  The impact of prior infection and marginal value of vaccination in those with prior infection was assessible within the serology sub-cohort. ConclusionA single linked de-identified dataset derived from an operational HIE was able to quickly address critical public health questions related to COVID-19 variants in a privacy-preserving manner.
通过常规健康信息交流评估新冠肺炎疫苗有效性和变异严重性的可行性。
目的迄今为止,由于祖先、贝塔、德尔塔和奥密克戎SARS-CoV-2变种,南非经历了四次不同的新冠肺炎疫情。随着新冠肺炎新变种的出现,我们寻求及时回答相关的公共卫生问题(d)使用通过面向服务的健康信息交换(HIE)链接的常规健康服务数据。方法根据作为HIE的省卫生数据中心(PHDC)最近对公共部门服务的使用情况,在南非西开普省的常规卫生服务用户中定义了人口群体。感染、住院和死亡率数据来自常规关联的实验室、服务和国家生命登记数据来源。对监测艾滋病毒和糖尿病治疗进展的患者残余样本进行的血清学检查与PHDC有关,国家疫苗接种信息系统的疫苗接种数据也是如此。为了进行分析,导出了一个单独的链接和取消标识的数据集。结果根据前3年获得的服务,可以列举350万成年患者的队列,并将其与合并发病率和严重急性呼吸系统综合征冠状病毒2型的结果数据联系起来。来自16000个样本的血清学分布在三个波间期,以及来自该省500万剂疫苗的疫苗数据也可能存在关联。变异可以通过波或通过交叉期内的PCR检测目标异常来识别。从诊断为新冠肺炎的患者的亚队列中进行可发表的变异严重性分析是可行的,并且可在病例、人群队列和艾滋病毒患者中评估变异特异性疫苗的有效性。既往感染的影响和疫苗接种对既往感染者的边际价值可在血清学亚队列中评估。结论来自操作性HIE的单一链接去识别数据集能够以保密的方式快速解决与新冠肺炎变异相关的关键公共卫生问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
386
审稿时长
20 weeks
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