Understanding dynamics of pandemic models to support predictions of COVID-19 transmission: parameter sensitivity analysis of SIR-type models
Despite efforts made to model and predict COVID-19 transmission, large predictive
uncertainty remains. Failure to understand the dynamics of the nonlinear pandemic …
uncertainty remains. Failure to understand the dynamics of the nonlinear pandemic …
Evaluating the impact of intervention strategies on the first wave and predicting the second wave of COVID-19 in Thailand: a mathematical modeling study
Simple Summary The world is currently experiencing the COVID-19 pandemic,
consequently, we developed a compartmental model to describe the transmission dynamic …
consequently, we developed a compartmental model to describe the transmission dynamic …
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 …
[HTML][HTML] Modeling the transmission dynamics of COVID-19 epidemic: a systematic review
The outbreak and rapid spread of COVID-19 has become a public health emergency of
international concern. A number of studies have used modeling techniques and developed …
international concern. A number of studies have used modeling techniques and developed …
COVID-19 and SARS-CoV-2. Modeling the present, looking at the future
E Estrada - Physics reports, 2020 - Elsevier
Abstract Since December 2019 the Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-CoV-2) has produced an outbreak of pulmonary disease which has soon become a …
(SARS-CoV-2) has produced an outbreak of pulmonary disease which has soon become a …
Accuracy of US CDC COVID-19 forecasting models
Accurate predictive modeling of pandemics is essential for optimally distributing biomedical
resources and setting policy. Dozens of case prediction models have been proposed but …
resources and setting policy. Dozens of case prediction models have been proposed but …
Forecasting the long-term trend of COVID-19 epidemic using a dynamic model
The current outbreak of coronavirus disease 2019 (COVID-19) has recently been declared
as a pandemic and spread over 200 countries and territories. Forecasting the long-term …
as a pandemic and spread over 200 countries and territories. Forecasting the long-term …
COVID-19: Short term prediction model using daily incidence data
Background Prediction of the dynamics of new SARS-CoV-2 infections during the current
COVID-19 pandemic is critical for public health planning of efficient health care allocation …
COVID-19 pandemic is critical for public health planning of efficient health care allocation …
Unraveling the dynamic importance of county-level features in trajectory of COVID-19
The objective of this study was to investigate the importance of multiple county-level features
in the trajectory of COVID-19. We examined feature importance across 2787 counties in the …
in the trajectory of COVID-19. We examined feature importance across 2787 counties in the …
[HTML][HTML] Real-time epidemiology and acute care need monitoring and forecasting for covid-19 via Bayesian sequential Monte Carlo-leveraged transmission models
COVID-19 transmission models have conferred great value in informing public health
understanding, planning, and response. However, the pandemic also demonstrated the …
understanding, planning, and response. However, the pandemic also demonstrated the …