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Coronavirus disease 2019 (COVID-19), as a contagious disease, has negative externality and public policies are essential to control it. To provide control solutions, identifying the factors affecting the spread of COVID-19 and its distribution dynamics are very important for policy-makers. Although there have been many studies examining various factors affecting the spread of COVID-19, there are research gaps on the distribution dynamics of COVID-19, its future trend prediction with the current policies, and the effects of neighbours on the distribution dynamics of COVID-19. Hence, this paper used the data published on the confirmed COVID-19 cases (C-COVID-19) from 9 February 2020, to 27 July 2020, to investigate the spatial distribution dynamics of COVID-19 and its prediction in 40 Asian countries. The Markov chain and the spatial Markov chain were used in this study. The results show that the COVID-19 in Asia did not tend to zero with the current policies, and the neighbours had effects on the spread of COVID-19. Therefore, policy-makers should use cooperative policies between countries instead of domestic monopoly policies.

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