The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

Background The COVID-19 pandemic has driven demand for forecasts to guide policy and
planning. Previous research has suggested that combining forecasts from multiple models …

Cholera remains a significant public health burden in many countries and regions of the
world, highlighting the need for a deeper understanding of the mechanisms associated with …

Disease modelling has had considerable policy impact during the ongoing COVID-19
pandemic, and it is increasingly acknowledged that combining multiple models can improve …

The novel coronavirus disease, also known as COVID-19, is a disease outbreak that was
first identified in Wuhan, a Central Chinese city. In this report, a short analysis focusing on …

With the continuous attempts to develop effective machine learning methods, information
fusion approaches play an important role in integrating data from multiple sources and …

We developed DELPHI, a novel epidemiological model for predicting detected cases and
deaths in the prevaccination era of the COVID-19 pandemic. The model allows for …

With COVID-19 affecting every country globally and changing everyday life, the ability to
forecast the spread of the disease is more important than any previous epidemic. The …

A model of a COVID-19 epidemic is used to predict the effectiveness of vaccination in the
US. The model incorporates key features of COVID-19 epidemics: asymptomatic and …

During the COVID-19 pandemic, predicting case spikes at the local level is important for a
precise, targeted public health response and is generally done with compartmental models …