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Data science approaches to infectious disease surveillance
2021
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Novel data science approaches are needed to confront large-scale infectious disease epidemics such as COVID-19, human immunodeficiency viruses, African swine flu and Ebola. Human beings are now equipped with richer data and more advanced data analytics methodologies, many of which have become available only in the last decade. The theme issue Data Science Approaches to Infectious Diseases Surveillance reports the latest interdisciplinary research on developing novel data science methodologies
doi:10.1098/rsta.2021.0115
pmid:34802266
pmcid:PMC8607141
fatcat:fcwoydx25reerjgvdidqngibrm