Author: Aronis, John M.; Ferraro, Jeffrey P.; Gesteland, Per H.; Tsui, Fuchiang; Ye, Ye; Wagner, Michael M.; Cooper, Gregory F.
Title: A Bayesian approach for detecting a disease that is not being modeled Document date: 2020_2_28
ID: 0xbozygd_2
Snippet: The ultimate goal should be the prediction of emergent diseases before they strike the human population [1]. This is a lofty goal that will require dramatic advances in pathology, genetics, and ecology, along with major advances in computational science and public health practice. A complementary and achievable near-term strategy is surveillance of human populations for early signs of infectious outbreaks [2]. While still a formidable task, we ca.....
Document: The ultimate goal should be the prediction of emergent diseases before they strike the human population [1]. This is a lofty goal that will require dramatic advances in pathology, genetics, and ecology, along with major advances in computational science and public health practice. A complementary and achievable near-term strategy is surveillance of human populations for early signs of infectious outbreaks [2]. While still a formidable task, we can build on comprehensive surveillance systems already in place in the United States and much of the world [3–7].
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