Applications of predictive modelling early in the COVID-19 epidemic
On Jan 30, 2020, WHO declared a Public Health Emergency of International Concern, a
month after COVID-19 was identified in Wuhan, China. By this point, several mathematical …
month after COVID-19 was identified in Wuhan, China. By this point, several mathematical …
Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation
The COVID-19 pandemic brought mathematical modelling into the spotlight, as scientists
rushed to use data to understand transmission patterns and disease severity, and to …
rushed to use data to understand transmission patterns and disease severity, and to …
Prediction models for COVID-19 clinical decision making
AM Leeuwenberg, E Schuit - The Lancet Digital Health, 2020 - thelancet.com
As of Sept 2, 2020, more than 25 million cases of COVID-19 have been reported, with more
than 850 000 associated deaths worldwide. Patients infected with severe acute respiratory …
than 850 000 associated deaths worldwide. Patients infected with severe acute respiratory …
Epidemiological predictive modeling of COVID-19 infection: development, testing, and implementation on the population of the Benelux union
T Šušteršič, A Blagojević, D Cvetković… - Frontiers in public …, 2021 - frontiersin.org
Since the outbreak of coronavirus disease-2019 (COVID-19), the whole world has taken
interest in the mechanisms of its spread and development. Mathematical models have been …
interest in the mechanisms of its spread and development. Mathematical models have been …
On the fallibility of simulation models in informing pandemic responses
D Gurdasani, H Ziauddeen - The Lancet Global Health, 2020 - thelancet.com
As of April 24, 2020, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
pandemic has led to over 2· 7 million confirmed cases, and 190 000 reported deaths …
pandemic has led to over 2· 7 million confirmed cases, and 190 000 reported deaths …
Evaluating short-term forecasting of COVID-19 cases among different epidemiological models under a Bayesian framework
Background Forecasting of COVID-19 cases daily and weekly has been one of the
challenges posed to governments and the health sector globally. To facilitate informed …
challenges posed to governments and the health sector globally. To facilitate informed …
COVID-19 prediction models and unexploited data
KC Santosh - Journal of medical systems, 2020 - Springer
Abstract For COVID-19, predictive modeling, in the literature, uses broadly SEIR/SIR, agent-
based, curve-fitting techniques/models. Besides, machine-learning models that are built on …
based, curve-fitting techniques/models. Besides, machine-learning models that are built on …
Modeling COVID-19 epidemics in an Excel spreadsheet: Democratizing the access to first-hand accurate predictions of epidemic outbreaks
MM Alvarez, E González-González… - medRxiv, 2020 - medrxiv.org
COVID-19, the first pandemic of this decade and the second in less than 15 years, has
harshly taught us that viral diseases do not recognize boundaries; however, they truly do …
harshly taught us that viral diseases do not recognize boundaries; however, they truly do …
[HTML][HTML] Modelization of Covid-19 pandemic spreading: A machine learning forecasting with relaxation scenarios of countermeasures
MA Lmater, M Eddabbah, T Elmoussaoui… - Journal of Infection and …, 2021 - Elsevier
Background & objective Mathematical modeling is the most scientific technique to
understand the evolution of natural phenomena, including the spread of infectious diseases …
understand the evolution of natural phenomena, including the spread of infectious diseases …
A data-driven model for predicting the course of COVID-19 epidemic with applications for China, Korea, Italy, Germany, Spain, UK and USA
For an emergent disease, such as Covid-19, with no past epidemiological data to guide
models, modelers struggle to make predictions of the course of the epidemic (Cyranoski …
models, modelers struggle to make predictions of the course of the epidemic (Cyranoski …