Abstract
As the COVID-19 pandemic continues, mathematical epidemiologists share their views on what models reveal about how the disease has spread, the current state of play and what work still needs to be done.
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CITATION STYLE
APA
Vespignani, A., Tian, H., Dye, C., Lloyd-Smith, J. O., Eggo, R. M., Shrestha, M., … Leung, G. M. (2020, June 1). Modelling COVID-19. Nature Reviews Physics. Springer Nature. https://doi.org/10.1038/s42254-020-0178-4
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