Public Opinion Guidance and Communication Mechanism Innovation of Public Health Events Based on the Multitask Learning Network in the Internet Era

Abstract

In order to improve the public opinion guidance ability for public health events in the Internet era, and improve the the problems of the traditional public opinion guidance mechanism, we analyze the public opinion guidance and communication mechanism based on the Internet era, and analyze the guidance software and software system, and related technical requirements? subsequently, the efficiency analysis of the public opinion guidance and communication mechanism of the multitask learning network was conducted; the results show that the public opinion guidance and communication mechanism of public health events based on the multitask learning network can effectively improve the diagnostic and early warning ability and diagnostic accuracy of the public opinion fermentation in public health emergencies, reduce the difficulty of guiding the public opinion fermentation of public health emergencies, and effectively improve the success rate of guidance for such events. In the Internet era, the public opinion guidance and communication mechanism based on the multitask learning network has improved the public opinion guidance ability for public health events, and it provides a research direction for the development of the network public opinion guidance system for unconventional public health emergencies in the future.

Research on emergency management of global public health emergencies driven by digital technology: A bibliometric analysis

“…The novel coronavirus, first identified in late 2019, is a major public health emergency, and by the end of November 2022, the World Health Organization reported that the total number of new coronavirus pneumonia (COVID-19) cases had exceeded 625 million, with ~15 million direct and indirect deaths due to new coronaviruses ( 5 ), which are still spreading globally. In addition to COVID-19, the world has seen several other major public health emergencies in the last decade, including severe acute respiratory syndrome (SARS) in 2003, H1N1 influenza in 2009, Middle East respiratory syndrome (MERS) in 2012, and West Africa Ebola in 2014, all of which had a major impact on human society ( 6 ). These diseases seriously endangered the collective survival and harmonious coexistence of the human community of destiny and caused incalculable damage to the global economy.…”

“…The functional, algorithmic, learning, and textual properties of digital technologies have made them a hot topic in public health management ( 14 – 16 ). By combing through the existing literature, we can find that emergency management of public health events driven by digital technology is mainly studied from the following perspectives: first, the use of digital technology for early warning and prediction of public health events, for example, some scholars applied big data on social media to predict health-related behaviors to prepare for and respond to public health emergencies promptly and epidemics ( 17 – 19 ); with the development of digital technologies, intelligent algorithms ( 8 , 20 ), machine learning ( 21 , 22 ), deep learning ( 6 , 23 ) have also been used in early warning studies of public health emergencies to extract and analyze relevant news and other information data intelligently. The application of these methods advances the intelligent emergency management of public health emergencies, thus reducing the impact of public health emergencies on society.…”

Retracted: Public Opinion Guidance and Communication Mechanism Innovation of Public Health Events Based on the Multitask Learning Network in the Internet Era

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”