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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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The Royal Society RAMP modelling initiative.

G J Ackland1, J Panovska-Griffiths2,3, W Waites4

  • 1Institute of Condensed Matter and Complex Systems, School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|August 15, 2022
PubMed
Summary
This summary is machine-generated.

In emergencies, scientific communication shifts priorities. This study details how the Royal Society rapidly coordinated scientists to model the coronavirus epidemic for policymakers.

Keywords:
COVID-19epidemicsmathematical modelling

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Area of Science:

  • Epidemiology
  • Scientific Communication
  • Public Policy

Background:

  • Traditional scientific publication is slow, emphasizing rigor and peer review.
  • Emergency situations necessitate rapid research dissemination to policymakers.
  • Balancing scientific accuracy with media scrutiny and non-specialist audiences is challenging.

Purpose of the Study:

  • To describe the Royal Society's coordination of scientists during the coronavirus epidemic.
  • To highlight the challenges of rapid scientific communication in public health emergencies.
  • To provide insights into modeling real-life epidemics.

Main Methods:

  • Coordinated efforts of diverse scientific experts.
  • Rapid development and dissemination of epidemic models.
  • Communication strategies tailored for policymakers and the public.

Main Results:

  • Successful modeling of the coronavirus epidemic.
  • Effective coordination of a multidisciplinary scientific response.
  • Navigated challenges of rapid peer assessment and media scrutiny.

Conclusions:

  • The Royal Society successfully coordinated a rapid scientific response to the coronavirus epidemic.
  • Effective communication and coordination are crucial for managing public health crises.
  • Adapting scientific processes for emergencies can bridge the gap between science and policy.