COVID-19 resource centre
已发布 09 五月, 2022
Here you will find the latest peer-reviewed research on COVID-19 from KeAi journals: Infectious Disease Modelling, Clinical eHealth, Global Health Journal, Synthetic and Systems Biotechnology, Journal of Interventional Medicine, Sports Medicine and Health Science and Atmospheric and Oceanic Science Letters.
All papers are freely available and will be made live online as soon they are published.
Infectious Disease Modelling
- IDM editorial statement on the 2019-nCoV
- An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov)
- Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020
- Transmission potential of the novel coronavirus (COVID-19) onboard the diamond Princess Cruises Ship, 2020
- Why is it difficult to accurately predict the COVID-19 epidemic?
- Propagation analysis and prediction of the COVID-19
- To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic
- A simple model for COVID-19
- Canada needs to rapidly escalate public health interventions for its COVID-19 mitigation strategies
- A COVID-19 epidemic model with latency period
- Early transmission dynamics of COVID-19 in a southern hemisphere setting: Lima-Peru: February 29th–March 30th, 2020
- A novel IDEA: The impact of serial interval on a modified-Incidence Decay and Exponential Adjustment (m-IDEA) model for projections of daily COVID-19 cases
- Targeted adaptive isolation strategy for COVID-19 pandemic
- Pushing past the tipping points in containment trajectories of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemics: A simple arithmetic rationale for crushing the curve instead of merely flattening it
- Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic
- Mathematical modelling on phase based transmissibility of Coronavirus
- Bidirectional impact of imperfect mask use on reproduction number of COVID-19: A next generation matrix approach
- Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example
- Why lockdown? Why national unity? Why global solidarity? Simplified arithmetic tools for decision-makers, health professionals, journalists and the general public to explore containment options for the 2019 novel coronavirus
- Predict new cases of the coronavirus 19; in Michigan, U.S.A. or other countries using Crow-AMSAA method
- An evaluation of COVID-19 in Italy: A data-driven modeling analysis
- Generalized logistic growth modeling of the COVID-19 pandemic in Asia
- Will an imperfect vaccine curtail the COVID-19 pandemic in the U.S.?
- Sensitivity of UK Covid-19 deaths to the timing of suppression measures and their relaxation
- Adequacy of Logistic models for describing the dynamics of COVID-19 pandemic
- Predictive modelling of COVID-19 confirmed cases in Nigeria
- Short-term forecasts and long-term mitigation evaluations for the COVID-19 epidemic in Hubei Province, China
- A simple approach to estimate the instantaneous case fatality ratio: Using the publicly available COVID-19 surveillance data in Canada as an example
- Evaluation of the effect of the state of emergency for the first wave of COVID-19 in Japan
- Mathematical modelling on diffusion and control of COVID–19
- Stochastic modelling for predicting COVID-19 prevalence in East Africa Countries
- Capacity-need gap in hospital resources for varying mitigation and containment strategies in India in the face of COVID-19 pandemic
- Prediction of the final size for COVID-19 epidemic using machine learning: A case study of Egypt
- Replicating and projecting the path of COVID-19 with a model-implied reproduction number
- The Covid-19 outbreak in Spain. A simple dynamics model, some lessons, and a theoretical framework for control response
- A multivariate analysis on spatiotemporal evolution of Covid-19 in Brazil
- Piecewise quadratic growth during the 2019 novel coronavirus epidemic
- Analysis of the outbreak of COVID-19 in Japan by SIQR model
- Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases
- Modelling the dynamics of exchanged novel coronavirus (2019-nCov) between regions in terms of time and space
- Estimative of real number of infections by COVID-19 in Brazil and possible scenarios
- Reaction order and neural network approaches for the simulation of COVID-19 spreading kinetic in India
- Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study
- The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model
- Real-time estimation and prediction of the mortality caused due to COVID-19 using particle swarm optimization and finding the most influential parameter
- Prospect and application of Internet of Things technology for prevention of SARIs
- Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
Global Health Journal
- Diagnosis and treatment plan of Corona Virus Disease 2019
- Interpretation of the diagnosis and treatment plan of Corona Virus Disease 2019
- Leveraging the Public Health Emergency Operation Center for Pandemic Response: Opportunities and Challenges
- Public health preparedness and responses to the COVID-19 pandemic in South Asia: A situation and policy analysis
Synthetic and Systems Biotechnology
Journal of Interventional Medicine
Expert consensus on the procedure of interventional diagnosis and treatment of cancer patients during the COVID-19 epidemic
Sports Medicine and Health Science
Atmospheric and Oceanic Science Letters
- Impacts of the meteorological condition versus emissions reduction on the PM2.5 concentration over Beijing–Tianjin–Hebei during the COVID-19 lockdown
- Global air quality change during the COVID-19 pandemic: Regionally different ozone pollution responses COVID-19
- Improvement of the global prediction system of the COVID-19 pandemic based on the ensemble empirical mode decomposition (EEMD) and autoregressive moving average (ARMA) model in a hybrid approach
- Optimal parameterization of COVID-19 epidemic models
- Changes in air pollutants during the COVID-19 lockdown in Beijing: Insights from a machine-learning technique and implications for future control policy
Access Elsevier's Novel Coronavirus Resource Center
Professor Shao Yiming Science Interview
Virologist Shao Yiming, Editor-in-Chief of Infectious Disease Modeling and chief expert on AIDS at China’s Center for Disease Control and Prevention (China CDC), sees the COVID-19 pandemic through the lens of HIV. That background has given Shao a broad perspective when it comes to seeing the similarities—and differences—in how nations, including China and the United States, have responded to the current pandemic.
Professor Powell CNN Interview
Prof. Charles Powell, Clinical eHealth board member, has been interviewed by CNN and introduced how to convert CPAP machines into the home ventilator, which allows patients with endotracheal intubation to receive remote treatment at home.
Dr. Chowell-Puente STAT Interview
Dr. Gerardo Chowell-Puente, mathematical epidemiologist and Editorial Board Member of Infectious Disease Modelling, was also recently interviewed by STAT for an article on Covid-19.
Once widely criticized, the Wuhan quarantine bought the world time to prepare for Covid-19
Could cause panic.” “Will not help end the crisis.” “Could backfire.”
When the Chinese government blocked most travel into and out of the city at the center of the Covid-19 outbreak in late January, many public health experts took to social media and op-ed pages to decry the measure as not only draconian and a violation of individual rights but also as ineffective: This largest quarantine in history — the city, Wuhan, has a population of 11 million, and the lockdown has been expanded — would have little effect on the course of the epidemic, they argued.
As the U.S. and other countries imposed travel restrictions, even the World Health Organization questioned whether they were a good idea. But early evidence is causing some disease fighters to reconsider.
Infectious Disease Modelling Authors Interview
Authors of a recently paper published in Infectious Disease Modelling answer questions on the effectiveness of wearing face masks to prevent against the spread of COVID-19 in this recent interview with Phoenix New Times.
'What If I Hate Masks?': 20 Questions on COVID Coverings, Answered by ASU Experts
Foundation Professor Abba Gumel and Post Doctoral Scholar Steffen Eikenberry recently led a team of six other experts to analyze the effectiveness of masks, producing a study published titled "To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic," the study concludes that mask-wearing by the general public has "high value" in curbing disease.
Science Article Coverage
Why scientists say wearing masks shouldn’t be controversial
Cloth face coverings help curb the spread of the coronavirus, studies suggest
Read the Science article covering research published in Infectious Disease Modeling.