This paper summarizes the basic principles and models of early warning for infectious
disease outbreaks, introduces the early warning systems for infectious disease based on …

Throughout the past public health early warning work, there is still a lack of early warning.
Therefore, starting from the reform of the public health early warning mechanism, this paper …

Global public emergencies represented by COVID-19 have posed new requirements and
challenges to the current governance systems and capacities of governments. Mining …

Big data technology plays an important role in the prevention and control of public health
emergencies such as the COVID-19 pandemic. Current studies on model construction, such …

COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),
spread rapidly and affected most of the world since its outbreak in Wuhan, China, which …

COVID-19 plague outbreak is accelerated due to the large amount of population movement
just as at the time of Chinese traditional Spring Festival. As the heaviest plague region …

In order to accurately grasp the timing for the prevention and control of diseases, we
established an artificial neural network model to issue early warning signals. The real-time …

Objective: To provide a system for warning, preventing and controlling emerging infectious
diseases from a macroscopic perspective, using the COVID-19 epidemic data and effective …

Human beings have experienced a serious public health event as the new pneumonia
(COVID-19), caused by the severe acute respiratory syndrome coronavirus has killed more …

The Omicron variant has become the dominant COVID‐19 variant worldwide due to its rapid
and cryptic spread. Therefore, successful early warning is of great importance to be able to …