The Meteorological Rocket Network-An analysis of the first year in operation: Joint Scientific Advisory Group to the Meteorological Rocket Network

1961 ◽  
Vol 66 (9) ◽  
pp. 2821-2842 ◽  
Author(s):  
Martin McKee ◽  
Danny Altmann ◽  
Anthony Costello ◽  
Karl Friston ◽  
Zubaida Haque ◽  
...  

2021 ◽  
Vol 51 (10) ◽  
pp. 1707-1712
Author(s):  
Katherine Creeper ◽  
Bradley Augustson ◽  
Kieran Kusel ◽  
Michael J. Fulham ◽  
Joy Ho ◽  
...  

2021 ◽  
Author(s):  
John Drury ◽  
M. Brooke Rogers ◽  
Theresa Marteau ◽  
Lucy Yardley ◽  
Steve Reicher ◽  
...  

This article reviews the behavioural risks and possible mitigations for re-opening large venues for sports and music events when Covid-19 infection rates and hospitalizations begin to decline. We describe the key variables that we suggest will affect public behaviour relevant to the spread of the virus, drawing upon four sources: (1) relevant evidence and recommendations from the Scientific Pandemic Influenza Group on Behaviours produced for the Scientific Advisory Group for Emergencies (SAGE); (2) research evidence from non-pandemic conditions; (3) research on behaviour during the pandemic; and (4) relevant theory. We first outline some basic risks and a framework for understanding collective behaviour at live events. We then survey some trends in UK public behaviour observed over 2020 and how these might interact with the opening of live events and venues. We present a range of mitigation strategies, based on the framework for collective behaviour and on what is known about non-pharmaceutical (i.e. behavioural) interventions in relation to Covid-19.


2021 ◽  
Vol 376 (1829) ◽  
pp. 20210001 ◽  
Author(s):  
Ellen Brooks-Pollock ◽  
Leon Danon ◽  
Thibaut Jombart ◽  
Lorenzo Pellis

Infectious disease modelling has played an integral part of the scientific evidence used to guide the response to the COVID-19 pandemic. In the UK, modelling evidence used for policy is reported to the Scientific Advisory Group for Emergencies (SAGE) modelling subgroup, SPI-M-O (Scientific Pandemic Influenza Group on Modelling-Operational). This Special Issue contains 20 articles detailing evidence that underpinned advice to the UK government during the SARS-CoV-2 pandemic in the UK between January 2020 and July 2020. Here, we introduce the UK scientific advisory system and how it operates in practice, and discuss how infectious disease modelling can be useful in policy making. We examine the drawbacks of current publishing practices and academic credit and highlight the importance of transparency and reproducibility during an epidemic emergency. This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.


2015 ◽  
Vol 45 (4) ◽  
pp. 371-382 ◽  
Author(s):  
N. Weber ◽  
P. Mollee ◽  
B. Augustson ◽  
R. Brown ◽  
L. Catley ◽  
...  

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