The COVID-19 pandemic is making the world suffer, and the race between virus mutation and anti-epidemic measures including vaccine development is intensifying. This once-in-a-century health crisis will exert impact upon human society for decades. However, the epidemic prediction is still at a growing stage, which is increasingly relying on cross-disciplinary research. The epidemic prediction scientifically favors accessing the epidemic situation, making effective response policies and testing the effectiveness of existing pandemic response measures. Additionally, epidemic prediction will play a crucial role in the early warning of other possibly emerging epidemics in the future. However, the diversification of transmission routes, emerging new variants of concerns, and the unguaranteed effectiveness of vaccines available or under development have brought unprecedented challenges to the prevention and control of the COVID-19 pandemic. In the long run, multidisciplinary collaboration will not only advance areas such as public health, basic medicine and clinical medicine, but also help humans to be more fully prepared for major epidemic diseases in the future.
This research topic will focus on the frontiers in 1) the epidemic prediction of COVID-19 pandemic, 2) the establishment, parameterization and assessment of epidemic prediction model, 3) the impacts of human activities and natural factors on the development of COVID-19 pandemic, 4) the transmission of SARS-CoV-2 and its variants. The goal of this research topic is to 1) carry out in-depth cross-disciplinary researches on the establishment of epidemic prediction model, 2) and to discuss the optimal response policies towards the COVID-19 pandemic. We hope that this topic can promote innovation on the progress of epidemic prediction and the cutting-edge insights into the spread and control of COVID-19 pandemic, and finally find a new way to help realize the harmonious co-existence of nature and mankind.
In this research topic, we will focus on the frontiers in the global spread of SARS-CoV-2 and the prediction model of COVID-19 pandemic. Moreover, the epidemic prediction model and the significance of this study for future breakthroughs will be our major focus. We would like to accept the studies on the advanced epidemic prediction methods, epidemiology, public health, and leading research on the variants of SARS-CoV-2 and new insights into the transmission of SARS-CoV-2. Potential topics of this research topic should include, but not be limited to:
• Establishment and development of the COVID-19 prediction model
• Parameterization of the COVID-19 prediction model
• Assessment of the COVID-19 prediction model
• Simulation and prediction of COVID-19 pandemic using multisource data
• Impact of anthropogenic factors and natural factors on the spread of the COVID-19 pandemic
• Environmental transmission (aerosol, water etc.) of SARS-CoV-2
• Impact of environment factors on variants of SARS-CoV-2
• Spread of variants of SARS-CoV-2 and their impacts on the development of COVID-19 pandemic
• Surveillance of COVID-19 prevalence
• Global spread of SARS-CoV-2
The COVID-19 pandemic is making the world suffer, and the race between virus mutation and anti-epidemic measures including vaccine development is intensifying. This once-in-a-century health crisis will exert impact upon human society for decades. However, the epidemic prediction is still at a growing stage, which is increasingly relying on cross-disciplinary research. The epidemic prediction scientifically favors accessing the epidemic situation, making effective response policies and testing the effectiveness of existing pandemic response measures. Additionally, epidemic prediction will play a crucial role in the early warning of other possibly emerging epidemics in the future. However, the diversification of transmission routes, emerging new variants of concerns, and the unguaranteed effectiveness of vaccines available or under development have brought unprecedented challenges to the prevention and control of the COVID-19 pandemic. In the long run, multidisciplinary collaboration will not only advance areas such as public health, basic medicine and clinical medicine, but also help humans to be more fully prepared for major epidemic diseases in the future.
This research topic will focus on the frontiers in 1) the epidemic prediction of COVID-19 pandemic, 2) the establishment, parameterization and assessment of epidemic prediction model, 3) the impacts of human activities and natural factors on the development of COVID-19 pandemic, 4) the transmission of SARS-CoV-2 and its variants. The goal of this research topic is to 1) carry out in-depth cross-disciplinary researches on the establishment of epidemic prediction model, 2) and to discuss the optimal response policies towards the COVID-19 pandemic. We hope that this topic can promote innovation on the progress of epidemic prediction and the cutting-edge insights into the spread and control of COVID-19 pandemic, and finally find a new way to help realize the harmonious co-existence of nature and mankind.
In this research topic, we will focus on the frontiers in the global spread of SARS-CoV-2 and the prediction model of COVID-19 pandemic. Moreover, the epidemic prediction model and the significance of this study for future breakthroughs will be our major focus. We would like to accept the studies on the advanced epidemic prediction methods, epidemiology, public health, and leading research on the variants of SARS-CoV-2 and new insights into the transmission of SARS-CoV-2. Potential topics of this research topic should include, but not be limited to:
• Establishment and development of the COVID-19 prediction model
• Parameterization of the COVID-19 prediction model
• Assessment of the COVID-19 prediction model
• Simulation and prediction of COVID-19 pandemic using multisource data
• Impact of anthropogenic factors and natural factors on the spread of the COVID-19 pandemic
• Environmental transmission (aerosol, water etc.) of SARS-CoV-2
• Impact of environment factors on variants of SARS-CoV-2
• Spread of variants of SARS-CoV-2 and their impacts on the development of COVID-19 pandemic
• Surveillance of COVID-19 prevalence
• Global spread of SARS-CoV-2