Abstract

Diagnostic and treatment services for non‐communicable diseases (NCDs) face significant challenges in the context of the COVID‐19 pandemic. We used the Python programing language to extract and classify messages for help posted on the social networking platform microblog by NCD patients in the early stage of the COVID‐19 epidemic in Wuhan, China. We found of all NCD patients, the most frequently recorded conditions were basic chronic diseases (42.50%), acute critical diseases (35.53%), malignant tumours (15.10%), and patients requiring haemodialysis (6.79%). Regarding COVID‐19, 54.70% of patients reported suspected symptoms of infection, 32.01% were diagnosed with comorbidities, and 13.29% were non‐COVID‐19 patients. According to the analysis of the needs of the patients, 82.46% of the patients reported “No beds were available in the hospital”, 25.31% of patients needed nucleic acid tests. Our results confirmed it is difficult to meet the regular needs in the diagnosis and treatment of patients with NCDs. Effective prevention and management of NCDs in public health emergencies has become an urgent issue to be addressed. During the COVID‐19 epidemic, it is necessary to pay particular attention to the prevention and control of NCD patients, especially those with chronic disease. Governments and medical and health institutions at all levels should improve treatment mechanisms during major epidemics and ensure the uninterrupted treatment of patients with NCDs.

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