… in epidemic forecasting tasks, with a particular emphasis on machine learning and deep
learning … Previous studies have incorporated GNNs but often in limited contexts [30, 13], mostly …

… Several lessons have been learnt from the SARS-CoV-2 epidemic, which is the third lethal
human zoonotic coronavirus with epidemic potential to emerge past 2 decades, the first being …

… the rise, as it is crucial in contagious epidemics that travel and transfer of the patients be …
previous successful experiences in the management of acute infectious respiratory epidemics …

… Therefore, my sole focus in this book is on epidemic diseases. The reason for this is … we
learned as a people from the experience of the past four centuries of recurring deadly epidemics…

… Red lines show mean predictions of the previous month. … predictions are a consequence of
learning the true value of the … with EnKF are able to learn the behavior parameter, and hence …

… epidemic progression. We also corroborated our model prediction using a machine-learning …
Guangdong and Zhejiang have reported less than 6 new cases daily in the previous week …

… We know from previous epidemics, including Ebola and H1N1 influenza, that indirect health
… During the 2014–2016 Ebola epidemic in West Africa, reduced access to treatment for …

… Based on previous studies of targeting … previous efforts into drugging these targets and
hope to help in the development of broad-spectrum anti-coronaviral agents for future epidemics…

… Chatbots can anonymously engage with users through voice or text messaging, using
machine learning to prepare an appropriate prompt or response based on previous interactions. …

… 2013–16 Ebola epidemic, which vastly exceeded the burden of all previous outbreaks with
almost … can be improved and lessons be learned to maximise their utility in future epidemics. …