Literature DB >> 33411652

Mathematical models as public troubles in COVID-19 infection control: following the numbers.

Tim Rhodes1,2, Kari Lancaster2.   

Abstract

Mathematical models are key actors in policy and public responses to the COVID-19 pandemic. The projections from COVID-19 models travel beyond science into policy decisions and social life. Treating models as 'boundary objects', and focusing on media and public communications, we 'follow the numbers' to trace the social life of key projections from prominent mathematical models of COVID-19. Public deliberations and controversies about models and their projections are illuminating. These help trace how projections are 'made multiple' in their enactments as 'public troubles'. We need an approach to evidence-making for policy which is emergent and adaptive, and which treats science as an entangled effect of public concern made in social practices. We offer a rapid sociological response on the social life of science in the emerging COVID-19 pandemic to speculate on how evidence-making might be done differently going forwards.

Entities:  

Keywords:  COVID-19; Mathematical models; boundary object; evidence-making; expertise; uncertainty

Year:  2020        PMID: 33411652     DOI: 10.1080/14461242.2020.1764376

Source DB:  PubMed          Journal:  Health Sociol Rev        ISSN: 1446-1242


  5 in total

1.  Modelling personal cautiousness during the COVID-19 pandemic: a case study for Turkey and Italy.

Authors:  Hatice Bulut; Meltem Gölgeli; Fatihcan M Atay
Journal:  Nonlinear Dyn       Date:  2021-05-11       Impact factor: 5.022

Review 2.  Modelling the COVID-19 pandemic in context: an international participatory approach.

Authors:  Ricardo Aguas; Lisa White; Nathaniel Hupert; Rima Shretta; Wirichada Pan-Ngum; Olivier Celhay; Ainura Moldokmatova; Fatima Arifi; Ali Mirzazadeh; Hamid Sharifi; Keyrellous Adib; Mohammad Nadir Sahak; Caroline Franco; Renato Coutinho
Journal:  BMJ Glob Health       Date:  2020-12

3.  Numerical Investigations through ANNs for Solving COVID-19 Model.

Authors:  Muhammad Umar; Zulqurnain Sabir; Muhammad Asif Zahoor Raja; Shumaila Javeed; Hijaz Ahmad; Sayed K Elagen; Ahmed Khames
Journal:  Int J Environ Res Public Health       Date:  2021-11-20       Impact factor: 3.390

4.  Mobilizing Policy (In)Capacity to Fight COVID-19: Understanding Variations in State Responses.

Authors:  Giliberto Capano; Michael Howlett; Darryl S L Jarvis; M Ramesh; Nihit Goyal
Journal:  Policy Soc       Date:  2020-07-03

5.  Artificial neural network-based heuristic to solve COVID-19 model including government strategies and individual responses.

Authors:  Thongchai Botmart; Zulqurnain Sabir; Shumaila Javeed; Rafaél Artidoro Sandoval Núñez; Mohamed R Ali; R Sadat
Journal:  Inform Med Unlocked       Date:  2022-08-06
  5 in total

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