An analogy of Molecule Rate Distribution in Statistical Thermodynamics Concept as a Deployment Approach Function of Covid-19

Aminuddin, J.

Coronavirus infection which was first discovered in Wuhan City, China was transmitted very quickly to almost all countries in just a few months. This makes some countries implement policies to impose lockdowns to prevent the spread of the Coronavirus. A mathematic model for Covid-19 though stochastic transmission model has been proposed to estimate how transmission had varied over time during 2020. The previous mathematic modeling about Covid-19 almost exhibits exponential-shaped trends. Therefore, this study aims to formulate a deployment approach function of Covid-19 using the statistical thermodynamics concept. The spread function is developed from the distribution of velocity and rate of molecules by applying several molecular hypotheses. The formulation is done by making several analogies related to the social intervention, medical aspect, and weather conditions. Relating to relative humidity, it is not the main parameter, but it is used as a correction factor to temperature. The results in the exponential curves show that social intervention and medical aspects are more significant in preventing the Covid-19 transmission rather than the weather condition. The approximation which has been developed is expected to support the study about the cause, spread, and impact of the Covid-19 for both current status and future perspectives.