About: Recently SIQR model was proposed by Odagaki as the modification of conventional SIR model by adding the term for isolation of infected persons, Q(Quarantined). The exponent {lambda} of the exponential function expressing the number of newly tested positive persons was defined as an linear equation explicitly with three important parameters, transmission coefficient, social distancing ratio x and isolation rate q. In this study, applying this model to the number of positive persons in publicly available database, daily {lambda} values are regression analyzed, and social distancing ratio and isolation rate are derived. Analyses for 7 countries including Japan, Taiwan, South Korea, and western countries are performed and determine the dynamic locus of q-x relation on the q-x plane during epidemic propagation. Finally, the remaining parameter, the transmission coefficient is shown to closely relate to the maximum {lambda}, {lambda}max, and {lambda}max (transmission coefficient) is characterized as a specific value for each country. Then, the magnitude of {lambda}max is combined with the value of {lambda}min to influence the total number of new cases until the convergence stage.

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About: Recently SIQR model was proposed by Odagaki as the modification of conventional SIR model by adding the term for isolation of infected persons, Q(Quarantined). The exponent {lambda} of the exponential function expressing the number of newly tested positive persons was defined as an linear equation explicitly with three important parameters, transmission coefficient, social distancing ratio x and isolation rate q. In this study, applying this model to the number of positive persons in publicly available database, daily {lambda} values are regression analyzed, and social distancing ratio and isolation rate are derived. Analyses for 7 countries including Japan, Taiwan, South Korea, and western countries are performed and determine the dynamic locus of q-x relation on the q-x plane during epidemic propagation. Finally, the remaining parameter, the transmission coefficient is shown to closely relate to the maximum {lambda}, {lambda}max, and {lambda}max (transmission coefficient) is characterized as a specific value for each country. Then, the magnitude of {lambda}max is combined with the value of {lambda}min to influence the total number of new cases until the convergence stage. Goto Sponge NotDistinct Permalink

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type	abstract
value	Recently SIQR model was proposed by Odagaki as the modification of conventional SIR model by adding the term for isolation of infected persons, Q(Quarantined). The exponent {lambda} of the exponential function expressing the number of newly tested positive persons was defined as an linear equation explicitly with three important parameters, transmission coefficient, social distancing ratio x and isolation rate q. In this study, applying this model to the number of positive persons in publicly available database, daily {lambda} values are regression analyzed, and social distancing ratio and isolation rate are derived. Analyses for 7 countries including Japan, Taiwan, South Korea, and western countries are performed and determine the dynamic locus of q-x relation on the q-x plane during epidemic propagation. Finally, the remaining parameter, the transmission coefficient is shown to closely relate to the maximum {lambda}, {lambda}max, and {lambda}max (transmission coefficient) is characterized as a specific value for each country. Then, the magnitude of {lambda}max is combined with the value of {lambda}min to influence the total number of new cases until the convergence stage.
subject	Hygiene Exponentials Quantum mechanics
part of	Dynamic Analysis of Social Distancing Ratio, Isolation Rate and Transmission Coefficient in COVID-19 Epidemic for Many Countries by SIQR Model
is abstract of	Dynamic Analysis of Social Distancing Ratio, Isolation Rate and Transmission Coefficient in COVID-19 Epidemic for Many Countries by SIQR Model
is hasSource of	covid:ann/target/c78d3858471039c27cc99a9686d2dbfe9326f8c5 covid:ann/target/76e7b56956496f392428a0ea4131440c69555cba covid:ann/target/d9d0f862e1a5027d63d87ebdb5bf3c9c913ace5e covid:ann/target/6702acd885f755c3894398cbea910edeed56c160 covid:ann/target/98d5ca1ef998d3c29a58064f47e550f5b24a98dd »more»

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