Military metaphors shape the limits and possibilities for conceptualising and responding to complex challenges of contagion. Although they are effective at communicating risk and urgency and at mobilising resources, military metaphors collapse diverse interests and communities into ‘fronts’, obscure alternative responses, and promote human exceptionalism. In this article, I draw from criticisms of the use of military metaphor in scientific and policy descriptions of antimicrobial resistance (AMR) over the past sixty years on order to compare with and explore the use of military metaphors in descriptions of the COVID-19 pandemic. As AMR research has recognised the importance of symbiotic human–microbe relationships and new areas of interdisciplinary collaboration in recent years, a corresponding decline in the use of military metaphor in scientific discourse has begun to emerge. I ask how the legacy of the military metaphor in AMR research can offer lessons regarding or alternatives to the martial language currently saturating responses to the COVID-19 pandemic in the UK.
The design of models that govern diseases in population is commonly built on information and data gathered from past outbreaks. However, epidemic outbreaks are never captured in statistical data alone but are communicated by narratives, supported by empirical observations. Outbreak reports discuss correlations between populations, locations and the disease to infer insights into causes, vectors and potential interventions. The problem with these narratives is usually the lack of consistent structure or strong conventions, which prohibit their formal analysis in larger corpora. Our interdisciplinary research investigates more than 100 reports from the third plague pandemic (1894-1952) evaluating ways of building a corpus to extract and structure this narrative information through text mining and manual annotation. In this paper we discuss the progress of our ongoing exploratory project, how we enhance optical character recognition (OCR) methods to improve text capture, our approach to structure the narratives and identify relevant entities in the reports. The structured corpus is made available via Solr enabling search and analysis across the whole collection for future research dedicated, for example, to the identification of concepts. We show preliminary visualisations of the characteristics of causation and differences with respect to gender as a result of syntactic-category-dependent corpus statistics. Our goal is to develop structured accounts of some of the most significant concepts that were used to understand the epidemiology of the third plague pandemic around the globe. The corpus enables researchers to analyse the reports collectively allowing for deep insights into the global epidemiological consideration of plague in the early twentieth century.
The current audit reviews the use of a pilot neuropsychological assessment protocol with 69 patients between June 2015 and June 2017 in a specialist Motor Neuron Disease service. The proportion of patients diagnosed with cognitive impairment, Fronto-TemporalDementia, anxiety and depression is reported in relation to existing research. Implications for diagnostic methods and suggestions for improvements to services are discussed.
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