Harnessing multiple models for outbreak management-Reference-Cited by-同舟云学术

Harnessing multiple models for outbreak management

Published:2020-05-08 Issue:6491 Volume:368 Page:577-579
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Shea Katriona¹,Runge Michael C.²,Pannell David³,Probert William J. M.⁴,Li Shou-Li⁵,Tildesley Michael⁶,Ferrari Matthew¹

Affiliation:

1. Department of Biology, The Pennsylvania State University, University Park, PA, USA.

2. U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA.

3. University of Western Australia, Perth WA 6009, Australia.

4. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

5. State Key Laboratory of Grassland Agroecosystems, Center for Grassland Microbiome, and College of Pastoral, Agriculture Science and Technology, Lanzhou University, Lanzhou, People's Republic of China.

6. Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, Mathematics Institute and School of Life Sciences, University of Warwick, Coventry CV47AL, UK.

Abstract

Expert elicitation methods and a structured decision-making framework will help account for risk and uncertainty

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference15 articles.

1. Essential information: Uncertainty and optimal control of Ebola outbreaks

2. Consensus and conflict among ecological forecasts of Zika virus outbreaks in the United States

3. Guidelines for multi-model comparisons of the impact of infectious disease interventions

4. P. E. Tetlock, D. Gardner, Superforecasting: The Art and Science of Prediction (Random House, 2016).

5. M. A. Burgman, Trusting Judgements: How to Get the Best out of Experts (Cambridge Univ. Press, 2015).

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