Abstract:Background: Evidence of the aggregation of COVID-19 symptoms was still limited. Exploration of likely cluster patterns of symptoms may be helpful.Methods: This study enrolled a total of 1067 COVID-19 cases. Symptom cluster patterns were explored by text clustering method. A multinomial logistic regression was applied to revealed its population characteristics. And time intervals between symptoms onset and the first visit was analyzed to take into account the symptoms progression over time. Results: Based on te… Show more
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