Scientists and engineers worldwide are rising to battle the COVID-19 crisis. Here are some examples of their work, including epidemiological analysis, diagnostics, and ventilator models.
Influence of wind and relative humidity on the social distancing effectiveness to prevent COVID-19 airborne transmission: A numerical study
Yu Feng et al, Journal of Aerosol Science, September 2020
Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve
Simsek and Kantarci, International Journal of Environmental Research and Public Health, May 14 2020
paper and Cleve's MATLAB simulator link
Exercising caution in correlating COVID-19 incidence and mortality rates with BCG vaccination policies due to variable rates of SARS CoV-2 testing
Janine Hensel et al, medRxiv, April 11 2020
Significant Relaxation of SARS-CoV-2-Targeted Non-Pharmaceutical Interventions Will Result in Profound Mortality: A New York State Modelling Study
Benjamin U. Hoffman, medRxiv, May 14 2020
paper preprint and GitHub repo
TWIRLS, an automated topic-wise inference method based on massive literature, suggests a possible mechanism via ACE2 for the pathological changes in the human host after coronavirus infection
Xiaoyang Ji et al, bioRxiv, March 2 2020
First-wave COVID-19 transmissability and severity in China outside Hubei after control measures, and second-wave scenario planning: a modelling impact assessment
Kathy Leung et al, The Lancet, April 8, 2020
Positive-pressure medical ventilator system that models the lung using Translational Mechanical Converter (MA), which converts moist air pressure into translational motion.