Johannes Abeler
Professor of Economics
St Anne's College
01865 281440
Johannes is a Professor of Economics at the University of Oxford, and a Supernumerary Fellow of St Anne's College. After studying Electrical Engineering and Industrial Engineering, he completed a PhD in Economics at the University of Bonn and then moved to the University of Nottingham. He joined Oxford in 2011 and teaches mainly Behavioural Economics and Public Economics. His research has studied the economic effects of honesty, complexity, disappointment, fairness, and fungibility.
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COVID-19 incidence and R decreased on the Isle of Wight after the launch of the Test, Trace, Isolate programme
July 2020|Journal article<jats:title>Abstract</jats:title><jats:p>In May 2020 the UK introduced a Test, Trace, Isolate programme in response to the COVID-19 pandemic. The programme was first rolled out on the Isle of Wight and included Version 1 of the NHS contact tracing app. We used COVID-19 daily case data to infer incidence of new infections and estimate the reproduction number R for each of 150 Upper Tier Local Authorities in England, and at the National level, before and after the launch of the programme on the Isle of Wight. We used Bayesian and Maximum-Likelihood methods to estimate R, and compared the Isle of Wight to other areas using a synthetic control method. We observed significant decreases in incidence and R on the Isle of Wight immediately after the launch. These results are robust across each of our approaches. Our results show that the sub-epidemic on the Isle of Wight was controlled significantly more effectively than the sub-epidemics of most other Upper Tier Local Authorities, changing from having the third highest reproduction number R (of 150) before the intervention to the tenth lowest afterwards. The data is not yet available to establish a causal link. However, the findings highlight the need for further research to determine the causes of this reduction, as these might translate into local and national non-pharmaceutical intervention strategies in the period before a treatment or vaccination becomes available.</jats:p> -
COVID-19 Contact Tracing and Data Protection Can Go Together.
April 2020|Journal article|JMIR mHealth and uHealthWe discuss the implementation of app-based contact tracing to control the coronavirus disease (COVID-19) pandemic and discuss its data protection and user acceptability aspects.Contact Tracing, Smartphone, Privacy, Patient Rights, Betacoronavirus, Computer Security, Pneumonia, Viral, Coronavirus Infections, Disease Outbreaks, Humans, Mobile Applications, Pandemics, Geographic Information Systems -
High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation.
January 2020|Journal article|Nature immunologyBy developing a high-density murine immunophenotyping platform compatible with high-throughput genetic screening, we have established profound contributions of genetics and structure to immune variation (http://www.immunophenotype.org). Specifically, high-throughput phenotyping of 530 unique mouse gene knockouts identified 140 monogenic 'hits', of which most had no previous immunologic association. Furthermore, hits were collectively enriched in genes for which humans show poor tolerance to loss of function. The immunophenotyping platform also exposed dense correlation networks linking immune parameters with each other and with specific physiologic traits. Such linkages limit freedom of movement for individual immune parameters, thereby imposing genetically regulated 'immunologic structures', the integrity of which was associated with immunocompetence. Hence, we provide an expanded genetic resource and structural perspective for understanding and monitoring immune variation in health and disease.Mice, Knockout, Models, Animal, Citrobacter, Salmonella, Immunophenotyping, Animals, Mice, Humans, Mice, Inbred C57BL, Male, High-Throughput Screening Assays, Enterobacteriaceae Infections, Female, Genetic Variation, Salmonella Infections -
High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation
December 2019|Journal article|Nature ImmunologyBy developing a high-density murine immunophenotyping platform compatible with highthroughput genetic screening, we have established profound contributions of genetics and structure to immune variation (www.immunophenotype.org). Specifically, highthroughput phenotyping of 530 unique mouse gene knockouts identified 140 monogenic “hits”, of which most had no previous immunological association. Furthermore, hits were collectively enriched in genes for which humans show poor tolerance to loss-of-function. The immunophenotyping platform also exposed dense correlation networks linking immune parameters with one another and with specific physiologic traits. Such linkages limit freedom-of-movement for individual immune parameters, thereby imposing genetically regulated “immunological structures”, whose integrity was associated with immunocompetence. Hence, we provide an expanded genetic resource and structural perspective for understanding and monitoring immune variation in health and disease.FFR
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