ABSTRACT
In this study, an agent-based infection model focusing on recovery process modeling was constructed, and the following results were obtained. The present model well reproduced the qualitative features of the chronological pattern in the numbers of newly infected, newly recovered, and total infected agents observed in the real world. The factors of the model that are indispensable for reproducing the actual pandemic are the roles of fever and antibodies, which increase the upper limit of the rate of virus replication for pandemic convergence. The role of fever is modeled as the effect of immunity increasing with an increasing number of viruses, and the role of antibodies is modeled as antibodies emerging when the immunity is insufficient to keep up with virus replication. The critical factor determining whether pandemic convergence occurs is whether the system includes severely infected agents whose immune response cannot keep up with the virus replication rate. Such severely infected agents are characterized by a high body temperature and a massive number of viruses. To control infection spread, it is essential to identify infected individuals, especially severely infected ones, and isolate them from the system. Measuring body temperature is effective in identifying severely infected individuals, rather than PCR tests, because fever is a sign of being infected and also provides information about the severity of infection, while PCR tests provide information only in a dichotomous positive/negative format. To overcome the pandemic while minimizing the economic impact, it is effective to identify and isolate infected individuals by monitoring body temperature and refusing entry of those infected at national borders, such as airports, and also in densely populated places. It is also effective for individuals to determine their own infection status by monitoring their own body temperature. Wearing masks and providing ventilation in densely populated spaces are also effective because they decrease the number of viruses at the time of infection. © 2023 Nova Science Publishers, Inc.
ABSTRACT
This paper constructed an agent-based infection model that focused on the recovering process modeling and obtained the following results. The mechanism of pandemic convergence is that the probability of a healthy person’s encountering an infected person decreases progressively as the number of recovered people increases and the total number of viruses in the system decreases due to immunity. The existence of antibodies promotes recovery but is not an essential factor for pandemic convergence. By assuming the effect of immunity being proportional to the number of viruses rather than assuming a constant value, the model well reproduced the actual trend of the number of infected and recovered persons. This result suggests that the medically well-known fact that fever associated with infection enhances immunity is an essential requirement for pandemic convergence. Identifying and isolating infected persons is critical to overcome the pandemic and minimize economic deterioration, especially at the border of the system, such as airports. Individual persons recognizing the state of infection by self-monitoring body temperature is also adequate for the pandemic convergence. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.