Saint Petersburg Pasteur Institute, 197101 St. Petersburg, Russia.
Federal Service for Supervision of Consumer Rights Protection and Human Welfare, 127994 Moscow, Russia.
Viruses. 2023 Oct 30;15(11):2181. doi: 10.3390/v15112181.
The COVID-19 pandemic has become a serious challenge for humanity almost everywhere globally. Despite active vaccination around the world, the incidence proportion in different countries varies significantly as of May 2022. The reason may be a combination of demographic, immunological, and epidemiological factors. The purpose of this study was to analyze possible relationships between COVID-19 incidence proportion in the population and the types of SARS-CoV-2 vaccines used in different countries globally, taking into account demographic and epidemiological factors. An initial database was created of demographic and immunoepidemiological information about the COVID-19 situation in 104 countries collected from published official sources and repository data. The baseline included, for each country, population size and density; SARS-CoV-2 testing coverage; vaccination coverage; incidence proportion; and a list of vaccines that were used, including their relative share among all vaccinations. Subsequently, the initial data set was stratified by population and vaccination coverage. The final data set was subjected to statistical processing both in general and taking into account population testing coverage. After formation of the final data set (including 53 countries), it turned out that reported COVID-19 case numbers correlated most strongly with testing coverage and the proportions of vaccine types used, specifically, mRNA (V1); vector (V2); peptide/protein (V3); and whole-virion/inactivated (V4). Due to the fact that an inverse correlation was found between 'reported COVID-19 case numbers' with V2, V3, and V4, these three vaccine types were also combined into one analytic group, 'non-mRNA group' vaccines (Vnmg). When the relationship between vaccine type and incidence proportion was examined, minimum incidence proportion was noted at V1:Vnmg ratios (%:%) from 0:100 to 30:70. Maximum incidence proportion was seen with V1:Vnmg from 80:20 to 100:0. On the other hand, we have shown that the number of reported COVID-19 cases in different countries largely depends on testing coverage. To offset this factor, countries with low and extremely high levels of testing were excluded from the data set; it was then confirmed that the largest number of reported COVID-19 cases occurred in countries with a dominance of V1 vaccines. The fewest reported cases were seen in countries with a dominance of Vnmg vaccines. Conclusion: In this paper, we have shown for the first time that the level of reported COVID-19 incidence proportion depends not only on SARS-CoV-2 testing and vaccination coverage, which is quite logical, but probably also on the vaccine types used. With the same vaccination level and testing coverage, those countries that predominantly use vector and whole-virion vaccines feature incidence proportion that is significantly lower than countries that predominantly use mRNA vaccines.
新冠疫情已成为全球范围内人类面临的严重挑战。尽管全球各地都在积极接种疫苗,但截至 2022 年 5 月,不同国家的发病率比例差异显著。原因可能是人口统计学、免疫学和流行病学因素的综合作用。本研究旨在分析全球不同国家 COVID-19 发病率比例与所使用的 SARS-CoV-2 疫苗类型之间可能存在的关系,同时考虑人口统计学和流行病学因素。
从已发表的官方来源和存储库数据中收集了 104 个国家的 COVID-19 人口统计学和免疫流行病学信息,创建了一个初始数据库。对于每个国家,基线包括人口规模和密度;SARS-CoV-2 检测覆盖率;疫苗接种覆盖率;发病率比例;以及使用的疫苗清单,包括它们在所有疫苗接种中的相对份额。随后,根据人口和疫苗接种覆盖率对初始数据集进行分层。最终数据集在一般情况下和考虑人口检测覆盖率的情况下进行了统计处理。
在形成最终数据集(包括 53 个国家)后,结果表明报告的 COVID-19 病例数与检测覆盖率和使用的疫苗类型比例密切相关,特别是 mRNA(V1);载体(V2);肽/蛋白(V3);和全病毒/灭活(V4)。由于发现“报告的 COVID-19 病例数”与 V2、V3 和 V4 呈负相关,因此将这三种疫苗类型合并为一个分析组,即“非 mRNA 组”疫苗(Vnmg)。当检查疫苗类型与发病率比例之间的关系时,发现 V1:Vnmg 比值(%:%)在 0:100 至 30:70 时,发病率比例最低。在 V1:Vnmg 从 80:20 到 100:0 时,发病率比例最高。另一方面,我们已经表明,不同国家报告的 COVID-19 病例数量在很大程度上取决于检测覆盖率。为了抵消这一因素,从数据集排除了检测水平低和极高的国家;然后确认,报告的 COVID-19 病例数量最多的国家是使用 V1 疫苗的国家。报告的病例最少的国家是使用 Vnmg 疫苗为主的国家。结论:本文首次表明,报告的 COVID-19 发病率比例不仅取决于 SARS-CoV-2 检测和疫苗接种覆盖率,这是相当合理的,而且可能还取决于所使用的疫苗类型。在相同的疫苗接种水平和检测覆盖率下,主要使用载体和全病毒疫苗的国家的发病率比例明显低于主要使用 mRNA 疫苗的国家。