Abstract: To examine basic COVID-19 knowledge, coping style and exercise behavior among the public including government-provided medical cloud system treatment app based on the internet during the outbreak. Besides, to provide references for developing targeted strategies and measures on prevention and control of COVID-19. We conducted an online survey from 11th to 15th March 2020 via WeChat App using a designed questionnaire. As well as aim to diagnose COVID-19 earlier and to improve its treatment by applying medical technology, the “COVID-19 Intelligent Diagnosis and Treatment Assistant Program (nCapp)” based on the Internet of Things. Valid information was collected from 1893 responders (47.07% males and 52.93% females aged 18–80 years, with a mean age of 31.05 ± 9.86) in 20 provincial-level regions across China. From the responders, 92.90% and 34.81% were scaled pass and good and above scores for the knowledge about the novel coronavirus epidemic. 38.44% were scaled poor scores and only 5.40% were scaled good and above scores for appropriate behavior coping with the pandemic. Among the responders, 52.14% reported having active physical exercise in various places during the previous 1 week. For all the responders, appropriate behavior coping correlated positively with physical exercise (p < 0.05); the daily consumed time for getting the epidemic-related information correlated positively with the score for cognition on the epidemic’s prevention measures (r = 0.111, p < 0.01) and on general knowledge about the epidemic (r = 0.087, p < 0.01). Targeted and multiple measures for guidance on the control of COVID-19 among the public should be promoted to improve the cognition on basic knowledge, behaviors and treatment.