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Towards a theoretically informed policy against a rakghoul plague outbreak.
Kontopoulos, Dimitrios-Georgios; Kontopoulou, Theano; Ho, Hsi-Cheng; García-Carreras, Bernardo.
Afiliación
  • Kontopoulos DG; Imperial College London, Silwood Park Campus, Ascot, Berkshire, United Kingdom d.kontopoulos13@imperial.ac.uk.
  • Kontopoulou T; Evangelismos Hospital, Athens, Greece.
  • Ho HC; Imperial College London, Silwood Park Campus, Ascot, Berkshire, United Kingdom.
  • García-Carreras B; Imperial College London, Silwood Park Campus, Ascot, Berkshire, United Kingdom.
Med J Aust ; 207(11): 490-494, 2017 Dec 11.
Article en En | MEDLINE | ID: mdl-29227777
ABSTRACT
A long time ago in a galaxy far, far away, the Sith Lord Karness Muur engineered the rakghoul plague, a disease that transformed infected humans into near-mindless predatory rakghouls. At its peak, the disease infected millions of individuals, giving rise to armies of rakghouls on a number of planets. Whether rakghoul populations have persisted until this day is not known, making a rakghoul invasion on Earth not completely improbable. Further, a strategy for defence against an outbreak of the disease on Earth has not yet been proposed. To fill this glaring gap, we developed the first mathematical model of the population dynamics of humans and rakghouls during a rakghoul plague outbreak. Using New South Wales as a model site, we then obtained ensembles of model predictions for the outcome of the rakghoul plague in two different disease control strategy scenarios (population evacuation and military intervention), and in the absence thereof. Finally, based on these predictions, we propose a set of policy guidelines for successfully controlling and eliminating outbreaks of the rakghoul plague in Australian states.
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Bases de datos: MEDLINE Asunto principal: Dinámica Poblacional / Brotes de Enfermedades / Planificación en Desastres / Modelos Teóricos Tipo de estudio: Prognostic_studies Límite: Animals / Humans País/Región como asunto: Oceania Idioma: En Revista: Med J Aust Año: 2017 Tipo del documento: Article País de afiliación: Reino Unido
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Bases de datos: MEDLINE Asunto principal: Dinámica Poblacional / Brotes de Enfermedades / Planificación en Desastres / Modelos Teóricos Tipo de estudio: Prognostic_studies Límite: Animals / Humans País/Región como asunto: Oceania Idioma: En Revista: Med J Aust Año: 2017 Tipo del documento: Article País de afiliación: Reino Unido