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We also discover that, without staariables.We use a dynamic panel data design to create thickness forecasts for day-to-day active Covid-19 infections for a panel of countries/regions. Our specification that assumes the growth rate of energetic infections could be represented by autoregressive changes around a downward sloping deterministic trend function with a rest. Our completely Bayesian approach permits us to flexibly estimation the cross-se
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