Article

Towards course of disease based epidemiological modelling: motivation and computational optimization

2023-05-28

Abstract excerpt

The ongoing COVID-19 pandemic has demonstrated the shortcoming of epidemiological modelling for guiding policy decisions. Due to the lack of public data on infection spread in contact networks and individual courses of disease, current forecasting models rely heavily on unreliable population statistics and ad hoc parameters, resulting in forecasts with high uncertainty. To tackle the problem of insufficient public...

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Literature Corpus work: 27ea623b-1d8b-5041-95df-5825333035b9
DOI: 10.1101/2023.05.24.23290318

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