Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
Background: Short-term forecasts of infectious disease burden can contribute to situational
awareness and aid capacity planning. Based on best practice in other fields and recent …
awareness and aid capacity planning. Based on best practice in other fields and recent …
COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation
The COVID-19 pandemic has caused a pronounced disturbance in the social environments
and economies of many countries worldwide. Credible forecasting methods to predict the …
and economies of many countries worldwide. Credible forecasting methods to predict the …
Learning from the past: A short term forecast method for the COVID-19 incidence curve
The COVID-19 pandemy has created a radically new situation where most countries provide
raw measurements of their daily incidence and disclose them in real time. This enables new …
raw measurements of their daily incidence and disclose them in real time. This enables new …
[HTML][HTML] Explicit modeling of antibody levels for infectious disease simulations in the context of SARS-CoV-2
Measurable levels of immunoglobulin G antibodies develop after infections with and
vaccinations against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …
vaccinations against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …