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Challenges in evaluating risks and policy options around endemic establishment or elimination of novel pathogens.
Metcalf, C Jessica E; Andriamandimby, Soa Fy; Baker, Rachel E; Glennon, Emma E; Hampson, Katie; Hollingsworth, T Deirdre; Klepac, Petra; Wesolowski, Amy.
Afiliación
  • Metcalf CJE; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Princeton School of Public and International Affairs, Princeton University, Princeton, USA. Electronic address: cmetcalf@princeton.edu.
  • Andriamandimby SF; Institut Pasteur de Madagascar, Antananarivo, Madagascar.
  • Baker RE; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Princeton High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA.
  • Glennon EE; Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK.
  • Hampson K; Institute of Biodiversity, Animal Health & Comparative Medicine, University of Glasgow, Glasgow, UK.
  • Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK.
  • Klepac P; London School of Hygiene and Tropical Medicine, London, UK.
  • Wesolowski A; Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Epidemics ; 37: 100507, 2021 12.
Article en En | MEDLINE | ID: mdl-34823222
When a novel pathogen emerges there may be opportunities to eliminate transmission - locally or globally - whilst case numbers are low. However, the effort required to push a disease to elimination may come at a vast cost at a time when uncertainty is high. Models currently inform policy discussions on this question, but there are a number of open challenges, particularly given unknown aspects of the pathogen biology, the effectiveness and feasibility of interventions, and the intersecting political, economic, sociological and behavioural complexities for a novel pathogen. In this overview, we detail how models might identify directions for better leveraging or expanding the scope of data available on the pathogen trajectory, for bounding the theoretical context of emergence relative to prospects for elimination, and for framing the larger economic, behavioural and social context that will influence policy decisions and the pathogen's outcome.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Políticas Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Epidemics Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Políticas Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Epidemics Año: 2021 Tipo del documento: Article