Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts.

ABSTRACT:

Background

In December 2019, pneumonia cases of unknown origin were reported in Wuhan City, Hubei Province, China. Identified as the coronavirus disease (COVID-19), the number of cases grew rapidly by human-to-human transmission in Wuhan. Social media, especially Sina Weibo (a major Chinese microblogging social media site), has become an important platform for the public to obtain information and seek help.

Objective

This study aims to analyze the characteristics of suspected or laboratory-confirmed COVID-19 patients who asked for help on Sina Weibo.

Methods

We conducted data mining on Sina Weibo and extracted the data of 485 patients who presented with clinical symptoms and imaging descriptions of suspected or laboratory-confirmed cases of COVID-19. In total, 9878 po

SUBMITTER: Huang C 

PROVIDER: S-EPMC7236610 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature