Literature DB >> 35800642

Does the sixth wave of COVID-19 break in Okinawa?

Masaki Tomochi1, Mitsuo Kono2.   

Abstract

Background: We aimed to forecast possible situations of the COVID-19 spreading for Okinawa Prefecture in Japan.
Methods: The VSIIR model is proposed to extend the SIIR model to include vaccine effects where the parameter v denotes the vaccination rate and is treated as a control parameter on which possible situations for Okinawa would depend.
Results: It is shown that the infection ends without spreading if v > d 1 + d 2 is satisfied where 1 / d i refers to the antibody duration, i = 1 for infection and i = 2 for vaccination, respectively.
Conclusion: It is important to set a vaccination policy that can save lives and maintain daily life at the same time.
© 2022 The Authors. Journal of General and Family Medicine published by John Wiley & Sons Australia, Ltd on behalf of Japan Primary Care Association.

Entities:  

Keywords:  COVID‐19; VSIIR model; forecast; infectious diseases; vaccination policy

Year:  2022        PMID: 35800642      PMCID: PMC9249941          DOI: 10.1002/jgf2.550

Source DB:  PubMed          Journal:  J Gen Fam Med        ISSN: 2189-7948


VSIIR MODEL

The SIIR model for COVID‐19 spreading has shown to reproduce the observed data of those being positive to the PCR test and clarify that one of the basic features of COVID‐19 is asymptomatic individuals who are mostly left unchecked and responsible for the spread of infection. , In this paper, the VSIIR model is proposed to extend the SIIR model to include vaccine effects, aiming to forecast possible situations for Okinawa Prefecture in Japan at the end of its fifth wave of infection. Here, variables in VSIIR model at time are as susceptible population, as presymptomatic population (infectious), as asymptomatic population (infectious), as symptomatic population (not infectious due to quarantine), as recovered population (with antibody and not infectious), as fatalities by COVID‐19 (not infectious), and as vaccinated population (with antibody and not infectious). Then, the interrelationship among the above variables is described by the following coupled differential equations from (1) to (7): In the VSIIR model, the vaccination rate is given as . Usually, vaccines are supposed to be given to those who are uninfected (non‐antibody) and ex‐infected (antibody‐deficient); however, since it would be realistic to inoculate individuals randomly except those who are symptomatic and quarantined, not only the susceptible population but also presymptomatic population , asymptomatic population , and recovered population are treated as subjects in need of vaccination in the model. For this reason, there will be cases where antibody acquisition is duplicated. In fact, the cost of distinguishing uninfected individuals from asymptomatic individuals would be enormous and random vaccination is thought to be more economical and practical in procedure. Here, the antibody duration of the infected and recovered individuals () and that of those who are vaccinated () are set as finite. Note that a conservation law exists as well in the VSIIR model and is given as

PARAMETERS AND INITIAL VALUES

The parameters of the VSIIR model are determined so that the data of the number of new positives of COVID‐19 in Okinawa up to the fifth wave match the value of in the SIIR model: where and denote the incubation period and the period of the onset, respectively. , , For simplicity, regardless of the antibody acquisition route, the duration of the antibody is assumed to be the same for both the recovery from infection and the vaccine, and is set since there are several findings that the duration of the antibody is about 6 months. In the following section, the parameter is treated as a control parameter on which the sixth wave of infection in Okinawa would depend. The initial value of the VSIIR model after the fifth wave is given as with the values shown in Table 1 which are obtained from officially reported data of COVID‐19 in Okinawa and the asymptomatic individuals based on the SIIR model. Note that the following constraint conditionimplies cannot be freely chosen.
TABLE 1

COVID‐19 status after the fifth wave (October 25, 2021) in Okinawa

Population of Okinawa (N=1,485,195)AntibodyCumulative number of individuals (rate)Vaccination rateNonvaccination rate
Recovered symptomatic individualsYes a1=36,794 (2.48%) q1 1q1
No a2=13,373 (0.90%) q2 1q2
Recovered asymptomatic individualsYes a3=577,666 (38.89%) q3 1q3
No a4=209,956 (14.14%) q4 1q4
Individuals not infected yet a5=641,881 (43.22%) q5 1q5
Infectious individuals I10+I20=52670.35% Presymptomatic I10=290 (0.02%)01
Asymptomatic I20=4,977 (0.33%)01
Symptomatic individuals R10=258 (0.02%)01
Total N=1,485,195 (100%) w1=911,464 (61.37%) w0=573,731 (38.63%)
COVID‐19 status after the fifth wave (October 25, 2021) in Okinawa

SIMULATION RESULTS

In the following simulation, is set as uniformly equal probability, namely , so as to satisfy Equation (8). This is because random vaccination is thought to be more economical and practical. At this point, uninfected individuals and recovered asymptomatic individuals who lost antibodies will account for the major targets for vaccination, so the initial susceptible population is small, 22% of the total (), and the effective reproduction number is calculated as 0.939 (). In case 1 ( which is equivalent to the actual case in Okinawa so far in which inoculation of 5064 individuals per day is conducted. ), as shown in Figure 1A, the infection remains unchanged for some time. However, during that time, antibody carriers lose antibodies and its number decreases, and as they are transferred to the susceptible population, increases. As increases, the number of effective reproductions also increases and exceeds unity, the infection spreads, and the sixth wave arrives. After that, the infected population begins to decrease and the infection changes from spreading to shrinking. However, since , gradually loses their antibody and is transferred to , and then the infection spreads again until it finally converges.
FIGURE 1

(A) Case 1 () and (B) case 2 (). in blue, in red, in green, in yellow, in cyan, in black, and in brown

(A) Case 1 () and (B) case 2 (). in blue, in red, in green, in yellow, in cyan, in black, and in brown In case 2 ( which is equivalent to the case in which inoculation of 29,704 individuals per day is conducted.) which is about 6 times of the number of inoculations in case 1 and satisfies , as shown in Figure 1B, increases rapidly from the beginning, and quickly settles down. The effective reproduction number remains less than unity and the infection ends without spreading. It can be said that this is a concrete plan of the vaccination policy currently required in Okinawa.

CONCLUDING REMARKS

It is clear from the above evaluation that vaccination is a key factor in saving lives. In pandemics, it is important to set a vaccination policy that can save lives and maintain daily life at the same time. However, it has reached a difficult stage to deal with infectious diseases by vaccination alone. In the first place, the causes of infectious diseases are environmental problems such as overuse of wild animals, global warming, and deforestation. In order to prevent the outbreak and spread of infectious diseases, it is required to build a sustainable social system based on harmony with the natural environment.

CONFLICT OF INTEREST

The authors have stated explicitly that there are no conflicts of interest in connection with this article.

AUTHOR CONTRIBUTIONS

All authors had access to the data and a role in writing the manuscript.
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