A5090933311- COVID-19 epidemiological studies
- SARS-CoV-2 and COVID-19 Research
- COVID-19 and Mental Health
- Viral Infections and Outbreaks Research
- COVID-19 diagnosis using AI
- Data-Driven Disease Surveillance
- COVID-19 Clinical Research Studies
- Anomaly Detection Techniques and Applications
- Viral Infections and Immunology Research
- Animal Disease Management and Epidemiology
- Animal Virus Infections Studies
- Misinformation and Its Impacts
Naval University of Engineering
2025
Second Military Medical University
2021-2023
Fudan University
2023
PLA Navy General Hospital
2021-2022
BackgroundIn early 2020, non-pharmaceutical interventions (NPIs) were implemented in China to reduce and contain the coronavirus disease 2019 (COVID-19) transmission. These NPIs might have also reduced incidence of hand, foot, mouth (HFMD).MethodsThe weekly numbers HFMD cases meteorological factors 31 provincial capital cities municipalities mainland obtained from Chinese Center for Disease Control Prevention (CCDC) National Meteorological Information 2016 2020. The NPI data collected local...
The reported new confirmed cases of Coronavirus Disease 2019 (COVID-19) nowadays have diminished in their usefulness for assessing the pandemic situation. This study aimed to discover correlation Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) variants recorded by Nextstrain clade and PANGO lineage number cases. Percent stacked area charts were utilized display development trends. 31 1452 named according lineage, respectively. branch step value maintained a stable increase linear regression...
Abstract Hand, foot, and mouth disease (HFMD) shows spatiotemporal heterogeneity in China. A filtering model was constructed applied to HFMD data explore the underlying structure of determine impact different weight matrices on results. cases covariate East China were collected between 2009 2015. The formed by Rook, K-nearest neighbour (KNN; K = 1), distance, second-order spatial ( SO-SWM ) with first-order temporal contemporaneous lagged forms decomposed, selecting eigenvectors according MC...
Abstract Background Mathematical models to forecast the risk trend of COVID-19 pandemic timely are great significance control pandemic, but requirement manual operation and many parameters hinders their efficiency value for application. This study aimed establish a convenient prompt one monitoring emerging infectious diseases online achieving assessment in real time. Methods The Optimized Moving Average Prediction Limit (Op-MAPL) algorithm model analysed real-time data was validated using...
We summarized the basic practices and characteristics of epidemic reporting during COVID-19 pandemic in United States. Based on analysis advantages disadvantages data reporting, we put forward some suggestions that should be used for reference thus improve reports infectious diseases.
Assessing the effects of non-pharmaceutical interventions (NPIs) and vaccines on controlling coronavirus disease 2019 (COVID-19) is key for each government to optimize anti-contagion policy according their situation.We proposed Braking Force Model Virus Transmission evaluate validity efficiency NPIs vaccines. This model classified administration at different effectiveness levels forecasted duration required control pandemic, providing an indication future trends pandemic wave.This was...
Background: Understanding the SARS-COV-2 reinfection rate and its potential influencing factors is essential for further improvement development of prevention control strategies measures to reduce SARS-CoV-2. This study aimed quantitatively summarize evidence current studies. Methods: We reviewed all English studies published up Dec 4, 2022. Information extracted from each selected articles quality assessment these was used evaluate risk bias in The meta-analysis performed examine SARS-CoV-2...