A study projects the expected endemic seasonality of COVID-19 infections based on long-term data on the incidence of circulating HCoV coronaviruses. The projections indicate asynchronous surges of SARS-CoV-2 across different locations in the northern hemisphere.
Successive waves of infection by SARS-CoV-2 have left little doubt that this virus will transition to an endemic disease . Foreknowledge of when to expect seasonal surges is crucial for healthcare and public health decision-making. However, the future seasonality of COVID-19 remains uncertain. Evaluating its seasonality is complicated due to the limited years of SARS-CoV-2 circulation, pandemic dynamics, and varied interventions.
In this study, we project the expected endemic seasonality by employing a phylogenetic ancestral and descendant state approach that leverages long-term data on the incidence of circulating HCoV coronaviruses. Our projections indicate asynchronous surges of SARS-CoV-2 across different locations in the northern hemisphere, occurring between October and January in New York and between January and March in Yamagata, Japan. This knowledge of spatiotemporal surges leads to medical preparedness and enables the implementation of targeted public health interventions to mitigate COVID-19 transmissio
COVID-19 Seasonality Endemic Disease Surges SARS-Cov-2 Healthcare Public Health Interventions Transmission
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