Abstract:The COVID-19 pandemic poses a serious threat to global health, and one
of the key epidemiological factors that shape the transmission of
COVID-19 is its serial interval (SI). Although SI is commonly considered
following a probability distribution at a population scale, slight
discrepancies in SI across different transmission generations are
observed from the aggregated statistics in recent studies. To explore
the change in SI across transmission generations, we develop a
likelihood-based statistical inference … Show more
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