Modeling COVID-19

Models that predict the course of the COVID-19 epidemic have been crucial in developing public health policies and continue to be used to plan effective control strategies. This feed surfaces papers reporting new models and modeling methods applied to COVID-19 data.

July 31, 2020

Impact of lockdown on COVID-19 epidemic in Île-de-France and possible exit strategies

BMC Medicine
Laura Di DomenicoVittoria Colizza
July 31, 2020

Isolation Considered Epidemiological Model for the Prediction of COVID-19 Trend in Tokyo, Japan

MedRxiv : the Preprint Server for Health Sciences
Motoaki UtamuraS. Kirikami
August 1, 2020

Whether the Weather Will Help Us Weather the COVID-19 Pandemic: Using Machine Learning to Measure Twitter Users' Perceptions

MedRxiv : the Preprint Server for Health Sciences
M. GuptaMohammad S. Jalali
August 2, 2020

Covid-19 mortality rates in Northamptonshire UK: initial sub-regional comparisons and provisional SEIR model of disease spread

MedRxiv : the Preprint Server for Health Sciences
Nick Petford, J. Campbell
August 2, 2020

Projecting hospital resource utilization during a surge using parametric bootstrapping

MedRxiv : the Preprint Server for Health Sciences
Jeffrey N ChiangE. Halperin
July 30, 2020

Stochastic modelling of the effects of human-mobility restriction and viral infection characteristics on the spread of COVID-19

MedRxiv : the Preprint Server for Health Sciences
S. AndoYutaka Kuroda
July 31, 2020

When is SARS-CoV-2 in your shopping list?

Mathematical Biosciences
Gustavo Hernandez-Mejia, Esteban A Hernandez-Vargas
July 30, 2020

Prediction of cumulative rate of COVID-19 deaths in Brazil: a modeling study

Revista brasileira de epidemiologia = Brazilian journal of epidemiology
Géssyca Cavalcante de MeloRenato Américo de Araújo Neto
July 31, 2020
Open Access

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

IEEE Transactions on Medical Imaging
Guotai WangShaoting Zhang
July 31, 2020
Open Access

A Systems Approach to Assess Transport and Diffusion of Hazardous Airborne Particles in a Large Surgical Suite: Potential Impacts on Viral Airborne Transmission

International Journal of Environmental Research and Public Health
Marc GarbeyShannon Furr

Sign up to follow this feed and discover related papers.

Related Feeds

AI-driven COVID-19 Management

Artificial intelligence (AI) offers a powerful new tool that could potentially be instrumental in controling and managing the SARS-CoV-2 virus. The papers in this feed report on the applications of AI to the current pandemic, which may be able to predict the location of the next outbreak, or facilitate new drug design.


Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

COVID-19 Clinical Diagnosis

COVID-19 patients typically present with high fever and a persistent cough. This feed focuses on clinical diagnosis, including RT-PCR testing for the presence of SARS-CoV-2 and radiographic assessment of lungs.

COVID-19 Clinical Management

While most COVID-19 infections cause only mild to moderate symptoms, severely affected patients, such as those presenting with pneumonia, ARDS or septic shock, require hospitalization. This feed focuses on clinical management of patients using oxygen therapy, ventilation, and other treatment strategies, and covers some medical case reports.

COVID-19 Comorbidities

COVID-19 represents a particular challenge to people with serious chronic medical conditions such as diabetes, hypertension, cardiovascular disease, and chronic lung disease. Research into the intersection between comorbidities and COVID-19 is focusing on risks and treatment outcomes for these patients.

COVID-19 Complications

A growing number of complications associated with COVID-19 has been identified. This feed focuses primarily on cardiovascular and respiratory manifestations in severely ill patients.

COVID-19 Covalescent Plasma Therapy

Convalescent plasma therapy, where passive polyclonal antibody obtained from recovered patients are used to provide immediate immunity, has been tested in respiratory infections such as the 2009-2010 H1N1 influenza virus pandemic and the 2003 SARS-CoV-1 epidemic. This feed follows ongoing research efforts and clinical trials exploring covalescent plasma therapy as a potential treatment strategy for COVID-19.

COVID-19 Epidemiology and Demography

Epidemiological studies play a crucial role in understanding and managing the progression of COVID-19. Research followed in this feed includes studies of transmission dynamics and the change of the basic reproductive number (R) as new pubic health measures take effect.

COVID-19 Immune Response

Understanding the innate and acquired immune response to SARS-CoV-2 is essential for development of COVID-19 therapeutic treatment and design of prophylactic vaccines. This feed surfaces immunological studies, including studies into the cytokine storm that has been observed in severely ill patients.

COVID-19 Immunopathology

The research highlighted in this feed investigates the immunopathology seen in severely ill COVID-19 patients, which often resembles the cytokine storm syndrome: uncontrolled immune activation generates excessive release of cytokines, resulting in hyperinflammation and multi-organ disease.

© 2020 Meta ULC. All rights reserved