In particular, there is great volatility in the data, which makes it difficult to visually verify the stationarity of the data, in addition to the fact that, for the pandemic context, it is expected that there will be both peaks in cases and a decreasing trend over time, given by the containment and preventive measures adopted by managers.
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Deep learning framework for epidemiological forecasting: A study on COVID-19 cases and deaths in the Amazon state of Pará, Brazil.
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