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Corona Virus Disease 2019 (COVID-19) is a new virus that can be contagious and its worst effects can lead to death. COVID-19 first appeared in Wuhan, China until it finally spread throughout the country, one of which is Indonesia. The spread of COVID-19 cases in Indonesia itself is quite rapid until finally the World Health Organization (WHO) designates COVID-19 cases as pandemics. Based on current conditions, this paper discuss about predict positive case data of COVID-19 at five locations in East Java (Malang City, Batu City, Pasuruan Regency, Malang Regency, Pasuruan City) using a space-time model namely Generalized Space-Time Autoregressive (GSTAR). Considering that COVID-19 is very easy to spread not only depending on the time but also the proximity between locations, the GSTAR method is good enough to be used to predict the assumption of parameters between heterogeneous locations. The estimation used is OLS with the location weight of cross-correlation normalization. The results of this study obtained the GSTAR(21)-OLS model is the best model to predict the number of positive cases of COVID-19 in.five locations in East Java by weighting the normalization of cross-correlation based on the smallest RMSE value in data out sample. Forecast results for the next 10 days of positive cases of COVID-19 in.all five locations show not very significant changes. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has caused economic, social and political crises in the infected countries. These countries implemented a lockdown policy to anticipate the spread, resulting in decreased financial revenues, including tax revenues. It is not easy to achieve tax revenue during a pandemic because almost all sectors have declined. Spatial interactions influence tax revenue, so a spatial model must be applied in its analysis. One of the spatial models is Spatial Durbin Model (SDM) is the development of the spatial autoregressive model (SAR). In the SDM model, the dependent variable and the independent variable both contain spatial effects. Spillover is the tendency of a changes in one area are following changes in another areas. This study's main objective is to estimate spillover's effect on districts/cities tax revenue and its spread in East Java. Researchers found a positive spatial spillover of GRDP, inflation, number of industries, and total population on tax revenue in East Java. [ABSTRACT FROM AUTHOR]