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10.1098/rstb.2021.0001 http://scihub22266oqcxt.onion/10.1098/rstb.2021.0001 34053252!8165593!34053252     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Philos+Trans+R+Soc+Lond+B+Biol+Sci 2021 ; 376 (1829): 20210001 Nephropedia Template TP {{tp|p=34053252|t=2021. Modelling that shaped the early COVID-19 pandemic response in the UK |pdf=|usr=}}{{34053252}} gab.com Text Modelling that shaped the early COVID-19 pandemic response in the UK JO: Philos Trans R Soc Lond B Biol Sci http://www.kidney.de/pget.php?&tw=1&pmid=34053252 #FOAvip 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'. Twit Text FOAVip Modelling that shaped the early COVID-19 pandemic response in the UK ????Philos Trans R Soc Lond B Biol Sci http://www.kidney.de/pget.php?&tw=1&pmid=34053252 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34053252 #FOAvip English Wikipedia <ref>{{Cite pmid|34053252}}</ref> Modelling that shaped the early COVID-19 pandemic response in the UK #MMPMID34053252 Brooks-Pollock E; Danon L; Jombart T; Pellis L Philos Trans R Soc Lond B Biol Sci 2021[Jul]; 376 (1829): 20210001 PMID34053252show ga 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'. |*Pandemics[MESH] |COVID-19/*epidemiology/virology[MESH] |Humans[MESH] |SARS-CoV-2/*pathogenicity[MESH]Modelling that shaped the early COVID-19 pandemic response in the UK (epmc).pdf DeepDyve Pubget Overpricing