COVID-19

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.

Research and Development

Ventilator Resources

COVID-19 Research and Development with MATLAB and Simulink

Clinical decision support tool and rapid point-of-care platform for determining disease severity in patients with COVID-19

Michael P. McRae et al, Lab on a Chip, June 3 2020
paper

Applications in Response to COVID-19: Mask Detection

Wanbin Song, Deep Learning, June 11 2020
Blog post and MATLAB code

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
paper

Assessing the Risks of Spatial Spread of the New Coronavirus COVID-19

Jiang X et al, Journal of Bacteriology and Mycology, June 4 2020
paper

Insights into the dynamics and control of COVID-19 infection rates

Mark J. Willis et al, PubMed Central, May 28 2020
paper

IKONOS: An intelligent tool to support diagnosis of Covid-19 by texture analysis of x-ray images

Juliana Carneiro Gomes et al, medRxiv, May 9 2020
paper preprint and GitHub repo

Impact of population mask wearing on Covid-19 post lockdown

Babak and Balaban, Infectious Microbes & Diseases, June 5 2020
paper

COVID-19 SimBiology SEIR Model Examples

Fulden Buyukozturk, MATLAB File Exchange, May 29 2020

Individualized System for Augmenting Ventilator Efficacy (iSAVE): A Rapidly deployable system to expand ventilator capacity

Shriya Srinivasan et al, bioRxiv, March 29 2020
paper preprint

Modeling shield immunity to reduce COVID-19 epidemic spread

Joshua S. Weitz et al, Nature, May 7 2020
paper and MATLAB code

fitVirusCOVID19

Milan Batista, MATLAB File Exchange, March 2020
MATLAB function

Covid-19: Testing Inequality in New York City

Stephanie Schmitt-Grohé et al, National Bureau of Economic Research, April 2020
working paper

To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic

Steffen E. Eikenberry et al, medRxiv, April 6 2020
paper preprint

Short-range airborne route dominates exposure of respiratory infection during close contact

Wenzhao Chen et al, ScienceDirect - Building and Environment, June 2020
paper

Avoiding COVID-19: Aerosol Guidelines

Matthew Evans, medRxiv, June 5 2020
paper preprint

Differential Effects of Intervention Timing on COVID-19 Spread in the United States

Sen Pei et al, medRxiv, May 20 2020
paper preprint, NYTimes reference, GitHub repo

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

COVID-19 Predictions in Africa using the SIR-Model

smsinks, MATLAB File Exchange, May 31 2020
MATLAB code

Development and Validation of a Survival Calculator for Hospitalized Patients with COVID-19

Todd J Levy et al, medRxiv, June 2 2020
paper preprint and app

Confinement Time Required to Avoid a Quick Rebound of COVID-19: Predictions From a Monte Carlo Stochastic Model

Társilo Girona, Frontiers in Physics, May 8 2020
paper

Multiscale 3-dimensional pathology findings of COVID-19 diseased lung using high-resolution cleared tissue microscopy

Guang Li et al, bioRxiv, April 20, 2020
paper preprint

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
paper preprint

Antihypertensive drugs in COVID-19 infection

Pinto-Siestsma et al, European Heart Journal, June 5 2020
paper

Deep Learning for Medical Imaging: COVID-19 Detection

Barath Narayanan, University of Dayton Research Institute
Deep Learning blog, March 18, 2020
blog post with MATLAB code

Second Version of a COVID-19 Simulator

Cleve Moler, Cleve's Corner, March 29, 2020
blog post and MATLAB code and app

Modeling and prediction of COVID-19 in Mexico applying mathematical and computational models

Torrealba-Rodriguez O et al, Chaos, Solitons, and Fractals, May 30 2020
paper

Unravelling the Myths of R0 in Controlling the Dynamics of COVID-19 Outbreak: a Modelling Perspective

Mohd and Sulaymana, Chaos Solitons Fractals, May 31 2020
paper

Forecast Possible Risk for COVID-19 Epidemic Dissemination Under Current Control Strategies in Japan

Zhongxiang Chen et al, Internal Journal of Environmental Research and Public Health, May 29 2020
paper

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
paper preprint

Sequence analysis of SARS-CoV-2 genome reveals features important for vaccine design

Jacob Kames et al, bioRxiv, March 31 2020
paper preprint

2 COVID-19 Simulations

Eunok Yung’s Lab, Konkuk University, May 2020
MATLAB web apps

Battling COVID-19 with disinfecting robots

Behind the Headlines, April 23, 2020
blog post

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
paper

A COVID-19 Epidemiological Model for Community and Policy Maker Use

Alex De Visscher, Concordia University, arXiv, March 19, 2020
paper preprint with model code

View previous research posts

Ventilator Research and Development Resources

These MATLAB and Simulink examples and research papers may be useful for industry leaders and researchers who are working on a rapid design for ventilators. Some of these are foundational references.