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10.1136/bmjgh-2020-002914 http://scihub22266oqcxt.onion/10.1136/bmjgh-2020-002914 32565430!7307539!32565430     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMJ+Glob+Health 2020 ; 5 (6): ä Nephropedia Template TP {{tp|p=32565430|t=2020. Modelling the pandemic: attuning models to their contexts |pdf=|usr=}}{{32565430}} gab.com Text Modelling the pandemic: attuning models to their contexts JO: BMJ Glob Health http://www.kidney.de/pget.php?&tw=1&pmid=32565430 #FOAvip The evidence produced in mathematical models plays a key role in shaping policy decisions in pandemics. A key question is therefore how well pandemic models relate to their implementation contexts. Drawing on the cases of Ebola and influenza, we map how sociological and anthropological research contributes in the modelling of pandemics to consider lessons for COVID-19. We show how models detach from their implementation contexts through their connections with global narratives of pandemic response, and how sociological and anthropological research can help to locate models differently. This potentiates multiple models of pandemic response attuned to their emerging situations in an iterative and adaptive science. We propose a more open approach to the modelling of pandemics which envisages the model as an intervention of deliberation in situations of evolving uncertainty. This challenges the 'business-as-usual' of evidence-based approaches in global health by accentuating all science, within and beyond pandemics, as 'emergent' and 'adaptive'. Twit Text FOAVip Modelling the pandemic: attuning models to their contexts ????BMJ Glob Health http://www.kidney.de/pget.php?&tw=1&pmid=32565430 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32565430 #FOAvip English Wikipedia <ref>{{Cite pmid|32565430}}</ref> Modelling the pandemic: attuning models to their contexts #MMPMID32565430 Rhodes T; Lancaster K; Lees S; Parker M BMJ Glob Health 2020[Jun]; 5 (6): ä PMID32565430show ga The evidence produced in mathematical models plays a key role in shaping policy decisions in pandemics. A key question is therefore how well pandemic models relate to their implementation contexts. Drawing on the cases of Ebola and influenza, we map how sociological and anthropological research contributes in the modelling of pandemics to consider lessons for COVID-19. We show how models detach from their implementation contexts through their connections with global narratives of pandemic response, and how sociological and anthropological research can help to locate models differently. This potentiates multiple models of pandemic response attuned to their emerging situations in an iterative and adaptive science. We propose a more open approach to the modelling of pandemics which envisages the model as an intervention of deliberation in situations of evolving uncertainty. This challenges the 'business-as-usual' of evidence-based approaches in global health by accentuating all science, within and beyond pandemics, as 'emergent' and 'adaptive'. |*Communicable Disease Control[MESH] |*Health Policy[MESH] |*Models, Biological[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/immunology[MESH] |Hemorrhagic Fever, Ebola/epidemiology/immunology[MESH] |Humans[MESH] |Immunity, Herd[MESH] |Influenza A Virus, H1N1 Subtype/physiology[MESH] |Influenza A Virus, H5N1 Subtype/physiology[MESH] |Influenza, Human/epidemiology/immunology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/immunology[MESH] |Uncertainty[MESH]Modelling the pandemic: attuning models to their contexts (epmc).pdf DeepDyve Pubget Overpricing