2021
DOI: 10.1016/j.drugpo.2020.102694
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How to think with models and targets: Hepatitis C elimination as a numbering performance

Abstract: The field of public health is replete with mathematical models and numerical targets. In the case of disease eliminations, modelled projections and targets play a key role in evidencing elimination futures and in shaping actions in relation to these. Drawing on ideas within science and technology studies, we take hepatitis C elimination as a case for reflecting on how to think with mathematical models and numerical targets as 'performative actors' in evidence-making. We focus specifically on the emergence of '… Show more

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Cited by 22 publications
(22 citation statements)
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“…Since their inception, DAA therapies have been heralded and promoted as a ‘cure’ for hepatitis C. Whilst treatments are curative for the vast majority of people living with hepatitis C, the concept of cure has been entrenched in a biomedical discourse [ 29 , 39 ]. More broadly, the motif of cure has been critiqued for being predicated on returning an individual to their pre-illness state of health, which obscures the personal, social and emotional aspects of illness [ 40 ].…”
Section: Discussionmentioning
confidence: 99%
“…Since their inception, DAA therapies have been heralded and promoted as a ‘cure’ for hepatitis C. Whilst treatments are curative for the vast majority of people living with hepatitis C, the concept of cure has been entrenched in a biomedical discourse [ 29 , 39 ]. More broadly, the motif of cure has been critiqued for being predicated on returning an individual to their pre-illness state of health, which obscures the personal, social and emotional aspects of illness [ 40 ].…”
Section: Discussionmentioning
confidence: 99%
“…This 'race to elimination' is not unique to the NOhep campaign. It is rhetoric increasingly invoked within the hepatitis C field, as nation states are positioned against each other as assessments are made about who might be 'on track' and who is 'lagging behind' in meeting strategic elimination targets (Rhodes & Lancaster, 2020;WHO, 2019).…”
Section: Locating and Advancing Towards Disease Elimination Futuresmentioning
confidence: 99%
“…Within this suite of practices, global targets do particularly significant work to give a sense of accuracy and control over diffuse and imagined disease elimination futures, by making the problem of disease elimination manageable, recognisable, enumerated and therefore able to be acted upon (Lancaster et al, 2019;Merry, 2016;Rhodes & Lancaster, 2020;Shore & Wright, 2015). As technologies of governing, global elimination targets are integral to how "the end" (Gane, 2014) of hepatitis C is performed, delimiting how hepatitis C futures might be imagined (Lancaster et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Enumerated projections are thus an important mode of evidence‐making in an anticipatory regime which orientates governance of the present in relation to the future (Adams et al, 2009 ; Arkut et al, 2019 ). Such is the pervasive presence of enumerated projections and numerical targets in the field of global health, that it is difficult to see how a science of viral elimination might be made otherwise (Rhodes & Lancaster, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…Treatment‐as‐prevention then shifts again in its enactments to potentiate the elimination of hepatitis C at the population level. The transformation of treatment‐as‐prevention to treatment‐as‐elimination is enabled by assemblages of viral elimination promise which incorporate the models and their projections as actors alongside pharmaceuticals, clinical trials, implementation science, national policies, public health discourses, community advocacy and global strategies (Rhodes & Lancaster, 2021 ). Particularly significant are efforts to project the treatment scale‐up required to achieve global viral elimination targets (Fraser et al, 2018 ; Gountas et al, 2018 ; Hagan et al, 2013 ; Heffernan et al, 2019 ; Hellard et al, 2012 , 2014 ; Innes et al, 2015 ; Kwon et al, 2019 ; Martin et al, 2013b , 2016 , 2017 ; Razavi et al, 2017 ; Scott et al, 2017 , 2018 ; Ward et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%