Designing optimal allocations for cancer screening using queuing network models

• Justin Dean,

  Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliations Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America, Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, United States of America

  https://orcid.org/0000-0003-4365-4912

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• Evan Goldberg,

  Roles Data curation, Visualization

  Affiliations Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America

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• Franziska Michor

  Roles Conceptualization, Funding acquisition, Resources, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: michor@jimmy.harvard.edu

  Affiliations Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America, Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, United States of America, Center for Cancer Evolution, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America, The Ludwig Center at Harvard, Boston, Massachusetts, United States of America

  https://orcid.org/0000-0003-4869-8842

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