The critical vocabulary of epidemiology, and now popular debate, thus includes R0, the basic reproduction number of the virus, ‘flattening the curve’, and epidemic ‘waves’. How did this happen? What are the consequences of framing and foreseeing the pandemic in these modes? Focusing on historical and contemporary disease responses, primarily in Britain, I explore the emergence of statistical modelling as a ‘crisis technology’, a reductive mechanism for making rapid decisions or judgments under uncertain biological constraint. I consider how Covid-19 might be configured or assembled otherwise, constituted as a more heterogeneous object of knowledge, a different and more encompassing moment of truth – not simply as a measured telos directing us to a new normal. Drawing on earlier critical engagements with the AIDS pandemic, inquiries into how to have ‘theory’ and ‘promiscuity’ in a crisis, I seek to open up a space for greater ecological, sociological, and cultural complexity in the biopolitics of modelling, thereby attempting to validate a role for critique in the Covid-19 crisis.
The Food and Agriculture Organization of the United Nations (FAO) and The Marie Bashir Institute for Infectious Diseases and Biosecurity (MBI) have joined hands to combat the threat of emerging and re-emerging infectious diseases by increasing capacity in outbreak investigation and disease surveillance.
With support of our Conference Partners, the University of Sydney are hosting the first international conference on global health security in Sydney, 18-20 June 2019 - registrations are now open
This methodology has enjoyed increasing popularity among researchers internationally and has been inspired by developments across a range of disciplines: ethnography, visual and applied anthropology, medical sociology, health services research, medical and nursing education, adult education, community development, and qualitative research ethics.