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In response to the COVID-19 spread, the way of thinking about the SIR model used in Infectious Disease-Mathematical Epidemiology was compared with that on the linear 1-compartment model with an absorption process used in Pharmacokinetics (PK) The number of infected persons (or drug amount in the body) in different infection (or absorption) rates and recovery (elimination) rates were mathematically simulated using differential equations in the SIR model (or PK model) Although the drug amount in the body (or drug concentration in blood) can be calculated from the dose, the extent of bioavailability and the absorption-and elimination-rate constants, the number of infected persons was related to the number of acceptable persons and infection-and recovery-rate constants In addition to these values, the number of infected persons was related also to the number of infected persons themselves at that time Interestingly, no infected persons were counted when the infection rate fell below a certain value and the recovering rate exceeded a certain value (those values were not obviously extreme) Although the analytical method using the SIR model is not the same as that using the 1-compartment PK model with an absorption process, the analytical techniques resemble each other This study suggests that most pharmacists and pharmaceutical scientists can use PK approach to prevent the present spreading of infectious disease
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[Similarities and Differences between Infectious Disease-Mathematics Epidemiology, Expressing the Infection-to-Healing Process, and Pharmacokinetics, Expressing the Absorption-to-Elimination Process] 感染から治癒過程を表現する「感染症数理疫学」と吸収から消失過程を表現する「薬物動態学」の類似点と相違点
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