ISSN: 2639-2038
Authors: Gaidai O , Liu Z , Xing Y and Wang K
Novel coronavirus disease 2019 (COVID-19) is a contagious disease having high transmissibility to spread worldwide along with low morbidity and mortality, presenting certain burden on worldwide public health. Due to non-stationarity and complicated nature of epidemic waves, it is challenging to accurately model such phenomenon. Traditional statistical methods dealing with spatio-temporal observations of multi-observational processes do not have an advantage of dealing with extensive observational dimensionality and cross-correlation between different local observations. This study has chosen COVID-19 daily numbers of recorded new and dead patients in Israel.
Keywords: COVID-19; Epidemic Outbreak; Probability Forecast; Public Health; Mathematical Biology
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