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2 results on '"Dobson, Andrew"'

1. A solution scan of societal options to reduce SARS-CoV-2 transmission and spread

Author

Sutherland, William, Taylor, Nigel, Aldridge, David, Martin, Phil, Rhodes, Catherine, Shackelford, Gorm, Beard, Simon, Belfield, Haydn, Bladon, Andrew, Brick, Cameron, Burgman, Mark, Christie, Alec, Dicks, Lynn, Dobson, Andrew, Downey, Harriet, Hood, Amelia, Hua, Fangyuan, Hughes, Alice, MacFarlane, Douglas, Morgan, William, Mupepele, Anne-Christine, Marciniak, Stefan, Nelson, Cassidy, hEigeartaigh, Sean, Rojas, Clarissa, Savolainen, Riikka, Sainsbury, Katherine, Smith, Rebecca, Sundaram, Lalitha, Tankard, Hannah, Thornton, Ann, Watkins, John, White, Thomas, Willott, Kate, and Petrovan, Silviu

Subjects
coronavirus, cleaning, contact free, virus, public space, lockdown, decontaminate, hygiene, contamination, solution scan, resilience, solutions, risk, contactless, disease, response, exercise, SARS-CoV-2, pandemic, public health, government, social distancing, transmission, infection, policing, behaviour, covid-19, epidemiology, isolation, policy
Abstract

This work is a collaboration between BioRISC (the Biosecurity Research Initiative at St Catharine’s College, Cambridge), Conservation Evidence based in the Department of Zoology, University of Cambridge and the Centre for the Study of Existential Risk. It was created by documenting our experience of options, consulting guidance, contacting people working in different countries to explore the range of options and crowd-sourcing ideas through social media. We welcome suggestions for options missed (especially those implemented outside of the UK), innovations for novel options or means of improving existing options. Please contact biorisc@caths.cam.ac.uk. You can also view the list of options on the BioRISC website (https://covid-19.biorisc.com/) or customise the list yourself using this app we developed (https://alecchristie888.shinyapps.io/Covid_19_options/).

Published
2022
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2. Eight challenges in modelling disease ecology in multi-host, multi-agent systems

Author

Buhnerkempe, Michael G, Roberts, Mick G, Dobson, Andrew P, Heesterbeek, Hans, Hudson, Peter J, Lloyd-Smith, James O, Dep Gezondheidszorg Landbouwhuisdieren, LS Theoretische Epidemiologie, FAH SIB, Strategic Infection Biology, Dep Gezondheidszorg Landbouwhuisdieren, LS Theoretische Epidemiologie, FAH SIB, and Strategic Infection Biology

Subjects
0106 biological sciences, Food Chain, Epidemiology, Maintenance, Population Dynamics, Clinical Sciences, Biology, Communicable Diseases, 010603 evolutionary biology, 01 natural sciences, Microbiology, Multiple hosts, Article, lcsh:Infectious and parasitic diseases, 03 medical and health sciences, Models, Multiple pathogens, Virology, 2.1 Biological and endogenous factors, Humans, lcsh:RC109-216, Community ecology, Aetiology, 030304 developmental biology, Life Cycle Stages, 0303 health sciences, Empirical work, Models, Statistical, Ecology, Multi-agent system, Public Health, Environmental and Occupational Health, Disease ecology, Food webs, Statistical, Data science, Good Health and Well Being, Infectious Diseases, 13. Climate action, Infectious disease (medical specialty), Host-Pathogen Interactions, Public Health and Health Services, Parasitology, Infection
Abstract

© 2014 The Authors. Many disease systems exhibit complexities not captured by current theoretical and empirical work. In particular, systems with multiple host species and multiple infectious agents (i.e., multi-host, multi-agent systems) require novel methods to extend the wealth of knowledge acquired studying primarily single-host, single-agent systems. We outline eight challenges in multi-host, multi-agent systems that could substantively increase our knowledge of the drivers and broader ecosystem effects of infectious disease dynamics.

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