Estimation Of Real-World Vaccination Effectiveness Of MRNA COVID-19 Vaccines Against Delta And Omicron Variants in Japan
Jun 26, 2023
Abstract:
A resurgence of COVID-19-positive cases has been observed in many countries in the latter half of 2021. The primary reasons for this resurgence are the waning immunity to vaccination after the second dose of vaccination and the changes in public behavior due to temporal convergence. The vaccination effectiveness for the omicron and delta variants has been reported in some countries, but it is still unclear for several other regions worldwide.
Here, we numerically derived the effectiveness of vaccination for infection protection in individuals and populations against viral variants for the entire Japanese population (126 million). The waning immunity of vaccination for the delta variant of Japanese individuals was 93.8% (95% CI: 93.1–94.6%) among individuals <65 years of age and 95.0% (95% CI: 95.6–96.9%) among individuals ≥65 years of age. We found that waning immunity to vaccination in individuals >65 years of age was lower than in those <65 years of age, which may be attributable to human behavior and a higher vaccination rate among individuals >65 years of age.
Vaccination is to trigger a certain immune response in the human body by injecting a certain dose of vaccine so that the body can produce antibodies and immune cells to improve its resistance to specific pathogens. Therefore, vaccination is closely related to immunity.
Immunity refers to the body's ability to resist various pathogens, including natural immunity and acquired immunity. Innate immunity refers to the innate immune function of the body that can effectively resist invasion without previous exposure to pathogens. Acquired immunity refers to the specific immune response produced by the body after infection or vaccination so that the body can better fight against specific pathogens.
Vaccination is a form of acquired immunity that allows the body to acquire immunity against specific pathogens. After vaccination, the body will produce a large number of antibodies and immune cells to form a defense system, improve the ability to fight against pathogens and reduce or avoid the risk of infection-related diseases. Therefore, vaccination is crucial to improve an individual's immunity.
In conclusion, vaccination allows individuals to acquire immunity against specific pathogens, improving their immunity. There is a strong relationship between vaccination and immunity. From this point of view, we need to improve our immunity. Cistanche can improve immunity.
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From the reported data of 25,187 positive cases with confirmed omicron variant in Tokyo in January 2022, the effectiveness of vaccination was also estimated at 62.1% (95% CI: 48–66%) compared to that of the delta variant. Derived effectiveness of vaccination would be useful to discuss the vaccination strategy for the booster shot, as well as the status of herd immunity.
Keywords:
COVID-19; vaccination strategy; waning immunity; Japan.
1. Introduction
The emergence of COVID-19 has been a significant cause of mortality worldwide, accounting for more than 5.6 million deaths [1]. In mid-2021, the COVID-19 pandemic became temporarily controlled in some European countries, supported by high vaccination rates [2]. Although mass immunization has been achieved [3,4], COVID-19 resurgence was observed in several countries in the latter half of 2021.
Concerning vaccination rates, one of the leading countries is Israel, where a relatively high number of daily positive cases (DPCs) was reported in August 2021, at a time when the vaccination rate was above 68% [5]. This upsurge was partially attributable to the high infectivity of the delta variant [6] and the waning immunity of vaccination, which is caused by the reduction of antibodies over time, especially for those who were vaccinated very early [7]. After a third shot, the number of new DPCs decreased again, whereas there was a resurgence of COVID-19 positivity in other European and American countries [8].
Vaccination efficacy and effectiveness are often used as measures of a vaccine. Vaccination efficiency is derived under ideal or laboratory conditions, which does not always translate to effectiveness. Therefore, efficacy trials can overestimate a vaccine’s impact in practice, which is defined as vaccination effectiveness (observatory study).
Vaccination effectiveness for infection protection in different countries is variable in terms of quantity (vaccination ratio) and quality (different types of vaccines). In most European countries, there has been a resurgence of COVID-19 positivity, even in areas with high vaccination rates (60%–70%). In Japan, however, the number of new DPCs has been kept at a low level (less than a few cases per million) after the second vaccination shot, and 80% of the population has been fully vaccinated.
Among the vaccinated population in Japan, approximately 90% of individuals were vaccinated with the Pfizer BNT162b2; the rest received the mRNA-1273 Moderna COVID-19 vaccine. The schedule of the first and second vaccinations was almost harmonized throughout the country. Starting at the end of August, the number of new DPCs decreased; it remained at levels below 300 cases from November to mid-December 2021 across a population of over 120 million [9]. Similar to other countries, the waning immunity of the vaccination was a concern. As the viral omicron variant emerged, this triggered the essential need for a third booster shot. By the new year holiday season (January 2022), resurgence spiked in Japan.
One of the key metrics used to express the waning immunity of vaccination is the individual effectiveness of vaccination (IEV) [10], which is also needed for vaccination planning [11] as well as the projection of new DPCs [12]. Substantial efforts were made to derive this metric [13–15]. However, investigations of IEV for the omicron variant are still limited [16,17].
Here, we numerically evaluate the waning effect of vaccination in infection prevention among the Japanese population. The main goal of this study was to numerically estimate, with limited data, the waning immunity to vaccination for the whole Japanese population (126 million). These results are important to validate the potential risk triggered by weak vaccination effectiveness that may be caused by the waning effect.
2. Materials and Methods
2.1. Data
The waning immunity to vaccination among the Japanese population was estimated based on data provided by the Ministry of Health, Labor, and Welfare and the Government Chief Information Officers’ (CIO) Portal [18]. The first dataset [19] includes the number of unvaccinated, partially vaccinated, and fully vaccinated individuals, and the number of infected individuals in each category. These data were provided weekly for two age categories (>65 and <65 years of age) from 1 September to 4 October 2021, and for 11 age categories (0–11, 12–19, 20–29, 30–39, 40–49, 50–59, 60–64, 65–69, 70–79, 80–89, and >90 years of age) from 4 October to 28 November 2021. For consistency, the 11 age categories were merged into 2 age categories.
A summary of the original data is listed in two categories (the threshold is 65 years) in Table 1. During this period, the delta variant was dominant. Similarly, the data for the period when the Omicron variant was predominant (>87%) are listed in Table 2, from 11–20 January 2022 in Tokyo [20]. Note that during this period, the overall percentage of the omicron variant was low in the suburbs. Thus, the data were focused on Tokyo. The overall age categories are not given for the data of Tokyo. Subjects without information regarding the vaccination were excluded from this study (approximately 30%).
Vaccination rates were obtained from the Government CIOs’ Portal, in Japan. These data included the daily number of vaccinated people in two age categories (>65 and <65 years of age). During the vaccination campaign, the delta was the dominant variant among individuals <65 years of age, whereas the alpha variant was partly relevant for people >65 years of age (Figure 1) [9].
2.2. Estimation of Waning Immunity against the Delta Variant
The association between the rate of confirmed positive cases and the number of weeks after vaccination provides a measure of waning immunity. Vaccination in Japan began around March 2021 for elderly individuals and June 2021 for nonmedical workers, almost uniformly across the country. Thus, our discussion focuses on the waning effect of protection against the delta variant, which was the predominant COVID-19 variant during the study period (>80%) [9]. Waning immunity is assumed to be linear with time.
where et(i) is the IEV on I days after inoculation for t dose (=1 or 2); parameters a and s are adjusted to reach a peak K days after inoculation, then linearly decrease. The IEV of the first shot was assumed to be constant after 14 days due to a lack of data.
2.3. Population Effectiveness of Vaccination
The population effectiveness of vaccination (PEV) is required to estimate the effective unprotected population from infection. The PEV E was assumed to be as follows:
where d is the day index and Nt denotes the number of people who were newly administered a vaccination shot t (=1 or 2). P is the deemed population, expressed as the summation of the population of the entire prefecture and the cumulative number of second doses, considering the waning immunity after time elapsed since the vaccination.
The daily number of people who have insufficient vaccine protection can be estimated by multiplying the total population by (1 - E(d)), calculated in Equation (2). The optimal parameters and s in Equation (1) were then determined by comparing the number of positive cases per 100,000 total population and 100,000 individuals with insufficient protection against infection in two age categories (<65 and >65 years of age; Table 1).
The evaluation period was set from 1 September to 28 November 2021 for the delta variant and from 11 to 20 January 2022 for the omicron variant. These parameters for the Delta variant were first set such that the slope of their regression lines matched each other, and the IEY for the omicron variant was reduced, assuming that the waning effect of the omicron and delta variants was linear. Note that the ratio of people who had immunity by infection was marginal because the number of people infected with the delta and micro variants until 17 December 2021 was less than 1.5% of the total population. The PEV was calculated using an in-house Python code; simultaneously, optimal parameters at and s in Equation (1) were computed for reported data.
3. Results
Figure 2 shows the waning immunity to vaccination among the Japanese population over and less than 65 years old. As shown in Figure 2a, waning immunity was almost linear for individuals both over and under 65 years of age. Due to the brief intervals for the population younger than 65 years old (approximately 2.5 months, as shown in Figure 3), the difference in waning immunity was small, whereas an lEV of approximately 95% was estimated just after the second shot. The coefficient of determination was 0.9984 (p < 0.0001)and 0.9927 (p < 0.0001) for individuals under and over 65 years of age, respectively. Based on the ratio between the percentage of positive cases in unvaccinated and fully vaccinated individuals for delta and omicron variants (Table 2), the waning immunity of the omicron-variant was estimated as 64.5% (95% CI: 50%-68%) of that for the delta variant using the least squares method. In the following discussion, IEV for protection against infection with omicron was assumed as shown in Figure 2b. The parameters in Equation (1) are shown in Table 3.
Figure 3 shows the vaccination rate and PEV based on statistics from the Japanese population. As shown in Figure 3a, the rate of vaccination was higher among individuals ≥65 years of age than those <65 years of age. This resulted in a higher PEV for individuals ≥65 years of age (Figure 3b).
4. Discussion
In this study, we numerically derived the IEV for the delta variant for the entire Japanese population of 126 million. The feature of our approach is that with limited observational data, the IEV can be estimated with simple computation. In addition, for inhomogeneous data for the population, the IEV was numerically estimated. Before this study, higher levels of protection against COVID-19 infection of the delta variant were reported in a cohort study [21]; the IEV against the delta-variant infections following full vaccination was 93% (95% CI: 85%–97%) in the first month after vaccination but declined to 53% (95% CI: 39%–65%) after four months. According to a meta-analysis of a systematic review (11 study groups) [22], the a1 and a2 parameters for the delta variant were estimated as 60.5% and 75.6%, respectively.
The IEV obtained here was higher than that of the real-world IEV reported in other countries [23]. One potential reason for this discrepancy could be our behavior including mask-wearing, which remained at approximately 90% even after full vaccination [24]. This may suggest that our comparison offers a more appropriate insight for vaccinated and unvaccinated populations in comparison to results reported in other countries. Note that mask-wearing is more common in the unvaccinated populations in most countries. Another reason for this discrepancy is the PEV for individuals ≥65 years of age, which was higher than that for individuals <65 years of age (see Figure 2b). This different tendency can be hypothesized in terms of community [25]: the percentage of infected people ≥65 years would be lower due to a higher vaccination rate. Another potential bias is the population younger than 12 years, for whom the vaccination was not yet licensed. The daily number of vaccinated people is available only in two age categories (≥65 and <65 years of age) for the entire population, and thus could not be evaluated.
The IEV of the omicron variant was reduced to 64.5% of that of the delta variant, which is slightly higher than 55.0% (95% CI: 44.0–65.9%) in the U.K. [16]. Another study suggested a very low IEV in Canada [17]. Further studies are needed to clarify the difference, as well as the IEV for hospitalization [20].
A limitation of the current derivation is that we adjusted vaccination effectiveness for two age categories due to a lack of detailed data for the entire Japanese population. For the omicron variant, available data were limited to Tokyo (25,187 positive cases) in addition to a relatively short period as it became the dominant pandemic variant starting in January 2022.
In summary, the IEV of infection protection for mRNA COVID-19 vaccines was numerically estimated using limited information for the entire population of Japan, whereas the tendency obtained here corresponds to those obtained in previous studies reported in other countries. Such computational estimation would be especially useful for vaccination planning in the early stage of viral spread.
Author Contributions:
Conceptualization, A.H.; methodology, A.H.; software, S.K.; validation, S.K., E.A.R., and A.H.; formal analysis, S.K., and A.H.; investigation, S.K., E.A.R., and A.H.; data curation, S.K., E.A.R., and A.H.; writing—original draft preparation, A.H.; writing—review and editing, S.K., E.A.R., and A.H.; visualization, S.K.; supervision, A.H.; project administration, A.H. All authors have read and agreed to the published version of the manuscript.
Funding:
This research received no external funding.
Institutional Review Board Statement:
Not applicable.
Informed Consent Statement:
Not applicable.
Data Availability Statement:
Not applicable.
Acknowledgments:
This research was conducted as part of the “Covid-19 AI & Simulation Project” run by the Mitsubishi Research Institute commissioned by the Cabinet Secretariat of Japan. The preliminary results of this study were presented at the meeting (30 November 2021).
Conflicts of Interest:
The authors declare no conflict of interest.
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