Advances in Artificial Intelligence for Infectious-Disease Surveillance.

Abstract

Authors

• John S Brownstein
  Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
• Benjamin Rader
  From the Computational Epidemiology Laboratory (J.S.B., B.R., C.M.A.) and the Division of Endocrinology (C.M.A.), Boston Children's Hospital, Harvard Medical School (J.S.B., C.M.A.), and Boston University School of Public Health (B.R.), Boston, and the Broad Institute of MIT and Harvard, Cambridge (C.M.A.) - all in Massachusetts; and the State Key Laboratory of Remote Sensing Science and Center for Global Change and Public Health, Beijing Normal University, Beijing (H.T.).
• Christina M Astley
  From the Computational Epidemiology Laboratory (J.S.B., B.R., C.M.A.) and the Division of Endocrinology (C.M.A.), Boston Children's Hospital, Harvard Medical School (J.S.B., C.M.A.), and Boston University School of Public Health (B.R.), Boston, and the Broad Institute of MIT and Harvard, Cambridge (C.M.A.) - all in Massachusetts; and the State Key Laboratory of Remote Sensing Science and Center for Global Change and Public Health, Beijing Normal University, Beijing (H.T.).
• Huaiyu Tian
  State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China. Electronic address: tianhuaiyu@gmail.com.

Keywords

External Resources