Predicting spillover risk: A framework linking drivers and mechanistic processes to the risk of disease emergence

Golchin, Maryam, Hoskins, Andrew J., Di Marco, Moreno, Horwood, Paul F., Paini, Dean, and Hickson, Roslyn I. (2021) Predicting spillover risk: A framework linking drivers and mechanistic processes to the risk of disease emergence. In: [Presented at the 8th International Conference on Infectious Disease Dynamics]. From: EPIDEMICS 8: 8th International Conference on Infectious Disease Dynamics, 30 November - 3 December 2021, Online.

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Abstract

[Extract]

• More than 70% of the +400 infectious diseases that emerged in the past five decades have a zoonotic origin Daszak et al. [1].

• This needs a One Health approach, as spillover is driven by interactions between ecological, agricultural, and (other) anthropogenic systems.

• Our goal: link known drivers and processes to produce a global spillover risk map

Item ID: 76981
Item Type: Conference Item (Poster)
Date Deposited: 15 Dec 2022 05:22
FoR Codes: 42 HEALTH SCIENCES > 4202 Epidemiology > 420299 Epidemiology not elsewhere classified @ 100%
SEO Codes: 20 HEALTH > 2004 Public health (excl. specific population health) > 200499 Public health (excl. specific population health) not elsewhere classified @ 100%
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