Managing uncertainty in the covid-19 era
- 1 September 2020
- Vol. 370, m3349
- https://doi.org/10.1136/bmj.m3349
Abstract
Uncertainty is inevitable in pandemics, but some simple rules help decision makingThis publication has 8 references indexed in Scilit:
- Making evidence and policy in public health emergencies: lessons from COVID-19 for adaptive evidence-making and interventionEvidence & Policy, 2020
- Studying complexity in health services research: desperately seeking an overdue paradigm shiftBMC Medicine, 2018
- Using flawed, uncertain, proximate and sparse (FUPS) data in the context of complexity: learning from the case of child mental healthBMC Medicine, 2018
- Models of ObesityPublished by Cambridge University Press (CUP) ,2017
- Don't Simplify, Complexify: From Disjunctive to Conjunctive Theorizing in Organization and Management StudiesJournal of Management Studies, 2016
- How complexity science can inform scale-up and spread in health care: Understanding the role of self-organization in variation across local contextsSocial Science & Medicine, 2013
- The appraisal of public health interventions: an overviewJournal of Public Health, 2013
- Theorising Interventions as Events in SystemsAmerican Journal of Community Psychology, 2009