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  1. Fulltext Classification of community-acquired outbreaks for the global transmission of COVID-19: Machine learning and statistical model analysis
    Wang WC, Lin TY, Chiu SY, Chen CN, Sarakarn P, Ibrahim M, et al.
    J Formos Med Assoc, 2021 Jun;120 Suppl 1:S26-S37.
    PMID: 34083090 DOI: 10.1016/j.jfma.2021.05.010
    BACKGROUND: As Coronavirus disease 2019 (COVID-19) pandemic led to the unprecedent large-scale repeated surges of epidemics worldwide since the end of 2019, data-driven analysis to look into the duration and case load of each episode of outbreak worldwide has been motivated.

    METHODS: Using open data repository with daily infected, recovered and death cases in the period between March 2020 and April 2021, a descriptive analysis was performed. The susceptible-exposed-infected-recovery model was used to estimate the effective productive number (Rt). The duration taken from Rt > 1 to Rt 

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