A research team led by Professor Jianping Huang from Lanzhou University explored the periodicity and mutability in the evolutionary history of the COVID-19 pandemic and investigated the principle mechanisms behind them. The evolution of the COVID-19 pandemic features the alternation of the abrupt rise and periodic oscillations. The oscillations are attributable to seasonal modulations and reporting bias, while mass gatherings are the main cause of the abrupt rise.
Scientists use the knowledge from climate system models to help fight COVID-19 pandemic
At the time of writing, coronavirus disease 2019 (COVID-19) is seriously threatening human lives and health throughout the world. Before effective vaccines and specific drugs are developed, non-pharmacological interventions and numerical model predictions are essential. To this end, a group led by Professor Jianping Huang from Lanzhou University, China, developed the Global Prediction System of the COVID-19 Pandemic (GPCP).
Jianping Huang is a Professor in the College of Atmospheric Sciences and a Director of the Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, China. He has for a long time been dedicated to studying long-term climate prediction, dust-cloud interaction, and semi-arid climate change by combining field observations and theoretical research.
A team of researchers led by Professor Jianping Huang from Lanzhou University, China, developed the Global Prediction System of the Covid-19 Pandemic (GPCP).Jianping Huang, who has dedicated a long ti