Abstract: Objective: Based on the information transmission model, a new nursing information management plan for the prevention and control of the COVID-19 was established to improve information transmission. Methods: Four working groups were set up as the sources of information by the nursing department on the platform of corporate WeChat to meet the need of information releasing for better prevention and control management. As the first and secondary receivers of information, respectively, nursing units and nurses were supposed to effectively manage the key nodes of 'information sending, disseminating, receiving and feedback' and conduct closed-loop quality control. Results: From January 21 to February 8, 2020, the nursing department had released a total of 3076 messages with the reception rate being 100.0% and the time-effective work of nursing management had all been completed on time. The natural language processing system of Baidu AI open platform was used to carry out a sentiment analysis of messages released in the four working groups and the positive sentiment analysis result of the text information released by the 'Important Notification Group' and 'Nurse Staff Communication Group' was 83.3% and 100.0%, respectively. Conclusion: Establishing a scientific nursing management information transmission scheme for emergency based on the information transmission theory model can help to ensure better information transmission and build a correct direction of public opinion.

Key words: information transmission model; COVID-19; public health emergencies; nursing administration research