How did UK policymaking in the COVID-19 response use science? Evidence from scientific advisers

Author(s):  
Paul Atkinson ◽  
Hayley Mableson Sally Sheard ◽  
Anne-Marie Martindale ◽  
Tom Solomon ◽  
Aleksandra Borek ◽  
...  

Background: Responses to COVID-19 have invested heavily in science. How this science was used is therefore important. Our work extends existing knowledge on the use of science in the pandemic by capturing scientific advisers’ experiences in real time.Aims and objectives: Our aim was to present generalisable messages on key qualifications or difficulties involved in speaking of ‘following the science’.Methods: Ninety-three interviews with UK scientific advisors and government officials captured their activities and perceptions during the pandemic in real time. We also examined Parliamentary Select Committee transcripts and government documents. This material was analysed for thematic content.Findings and discussion: (1) Many scientists sought guidance from policymakers about their goals, yet the COVID-19 response demonstrated the absence of a clear steer, and a tendency to change course quickly; (2) many scientists did not want to offer policy advice, but rather to provide evidence; and (3) a range of knowledge informed the UK’s pandemic response: we examine which kinds were privileged, and demonstrate the absence of clarity on how government synthesised the different forms of evidence being used.Conclusions: Understanding the reasons for a lack of clarity about policy goals would help us better understand the use of science in policy. Realisation that policy goals sometimes alter rapidly would help us better understand the logistics of scientific advice. Many scientists want their evidence to inform policy rather than determine the options selected. Since the process by which evidence leads to decisions is obscure, policy cannot be said to be evidence-based.<br />Key messages<br /><ul><li>Scientific advisors need to know policy goals, but these can be obscure and changeable.</li><br /><li>Many scientists want their evidence to inform policy rather than determine the policy selected.</li><br /><li>Evidence feeds into decisions in obscure ways, so policy cannot be said to be evidence-based.</li><br /><li>‘Evidence-informed’ policy is a more feasible aim than ‘evidence-based’ policy.</li></ul>

Author(s):  
Simon Thompson ◽  
Mary Kathryn Bohn ◽  
Nicasio Mancini ◽  
Tze Ping Loh ◽  
Cheng-Bin Wang ◽  
...  

AbstractRoutine biochemical and hematological tests have been reported to be useful in the stratification and prognostication of pediatric and adult patients with diagnosed coronavirus disease (COVID-19), correlating with poor outcomes such as the need for mechanical ventilation or intensive care, progression to multisystem organ failure, and/or death. While these tests are already well established in most clinical laboratories, there is still debate regarding their clinical value in the management of COVID-19, particularly in pediatrics, as well as the value of composite clinical risk scores in COVID-19 prognostication. This document by the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Task Force on COVID-19 provides interim guidance on: (A) clinical indications for testing, (B) recommendations for test selection and interpretation, (C) considerations in test interpretation, and (D) current limitations of biochemical/hematological monitoring of COVID-19 patients. These evidence-based recommendations will provide practical guidance to clinical laboratories worldwide, underscoring the contribution of biochemical and hematological testing to our collective pandemic response.


2021 ◽  
Vol 52 (1) ◽  
pp. 6-14
Author(s):  
Amit Tak ◽  
Sunita Dia ◽  
Mahendra Dia ◽  
Todd Wehner

Background: The forecasting of Coronavirus Disease-19 (COVID-19) dynamics is a centrepiece in evidence-based disease management. Numerous approaches that use mathematical modelling have been used to predict the outcome of the pandemic, including data-driven models, empirical and hybrid models. This study was aimed at prediction of COVID-19 evolution in India using a model based on autoregressive integrated moving average (ARIMA). Material and Methods: Real-time Indian data of cumulative cases and deaths of COVID-19 was retrieved from the Johns Hopkins dashboard. The dataset from 11 March 2020 to 25 June 2020 (n = 107 time points) was used to fit the autoregressive integrated moving average model. The model with minimum Akaike Information Criteria was used for forecasting. The predicted root mean square error (PredRMSE) and base root mean square error (BaseRMSE) were used to validate the model. Results: The ARIMA (1,3,2) and ARIMA (3,3,1) model fit best for cumulative cases and deaths, respectively, with minimum Akaike Information Criteria. The prediction of cumulative cases and deaths for next 10 days from 26 June 2020 to 5 July 2020 showed a trend toward continuous increment. The PredRMSE and BaseRMSE of ARIMA (1,3,2) model were 21,137 and 166,330, respectively. Similarly, PredRMSE and BaseRMSE of ARIMA (3,3,1) model were 668.7 and 5,431, respectively. Conclusion: It is proposed that data on COVID-19 be collected continuously, and that forecasting continue in real time. The COVID-19 forecast assist government in resource optimisation and evidence-based decision making for a subsequent state of affairs.


2019 ◽  
Vol 11 (18) ◽  
pp. 4899 ◽  
Author(s):  
Corrine Nöel Knapp ◽  
Robin S. Reid ◽  
María E. Fernández-Giménez ◽  
Julia A. Klein ◽  
Kathleen A. Galvin

Complex sustainability problems (e.g., climate change) are challenging to understand and manage, leading to an increase in approaches that connect scholars to society and research to action (collaborative approaches). The transdisciplinary approach (TDA) represents one such approach. While TDA is new to many, there are several prior collaborative approaches including collaborative adaptive management, knowledge integration, participatory action research, and indigenous/local knowledge. Other contemporary and parallel approaches include citizen science, translational science, evidence-based practice, and knowledge with action. The varied disciplinary roots and problem areas contribute to a lack of interaction among these parallel but distinct approaches, and among the scholars and stakeholders who practice them. In this paper, we consider the connections, complementarities and contradictions among these distinct but related collaborative approaches. This review offers insights into the interaction between science and practice, including the importance of social processes and recognition of different ways of knowing, as well as how to conduct collaborative approaches on a variety of scales and think about how to generalize findings. The review suggests a need to rethink roles and relationships in the process of knowledge co-creation, both extending the roles of researchers and practitioners, creating new hybrid roles for “pracademics”, and placing greater awareness on issues of power.


2008 ◽  
Vol 23 (4) ◽  
pp. 832-839 ◽  
Author(s):  
N.P. Johnson ◽  
T. Selman ◽  
J. Zamora ◽  
K.S. Khan

2013 ◽  
Vol 32 (4) ◽  
pp. 412-423
Author(s):  
Jonathan D. Eldredge ◽  
Holly E. Phillips ◽  
Philip J. Kroth

2016 ◽  
Vol 22 (Suppl 2) ◽  
pp. A249.1-A249
Author(s):  
Mikiko Oono ◽  
Koji Kiamura ◽  
Yoshifumi Nishida ◽  
Tatsuhiro Yamanaka

2016 ◽  
Vol 53 (2) ◽  
pp. 169-186 ◽  
Author(s):  
Greg Ruiters

‘Municipal indigents’ are a category of poor citizens who qualify to receive certain municipal services for free in South Africa. Having registered as municipal indigents, the poor not only gain access to free basic services but also embark upon a voyage into a bureaucratic underworld where policies are changed and eligibility criteria and sanctions are unevenly applied. Various preconditions and limits on services, as well as social surveillance of indigent households, has turned indigency programmes into a ‘regime’. The policy has swung from hard cost recovery (mass disconnections) during the period 1994–2000 to ‘free’ basic services and, more recently, to social-shaming and criminalisation. This paper provides a thematic account of recent municipal indigent processes in order to explore the ‘moving boundary’ between benevolence and control regarding this crucial citizen–state interface. Based on recent interviews with government officials, a review of relevant government documents, and describing the administrative complexities, the paper reveals aspects of what the poor confront in day-to-day experiences of the state. It is argued that there are lessons for all municipalities seeking a more sustainable and democratic path to citizenship rather than an ongoing low-level war with poor citizens.


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