期刊
EPIDEMICS
卷 10, 期 -, 页码 35-39出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.epidem.2014.09.002
关键词
Emerging infectious diseases; Zoonosis; Infectious disease dynamics; Host jump; Cross-species spillover transmission
资金
- Policy for Infectious Disease Dynamics (RAPIDD) programme of the Science and Technology Directory, Department of Homeland Security
- Fogarty International Center, National Institutes of Health
- National Science Foundation [EF-0928987, OCE-1335657]
- De Logi Chair in Biological Sciences
- UK Medical Research Council Career Development Award in Biostatistics
- Wellcome Trust Project Award [093488/Z/10/Z]
- Fogarty International Centre [R01 TW008246-01]
- Medical Research Council (UK) [MR/J008761/1]
- Alborada Trust
- European Union FP7 project ANTIGONE [278976]
- Direct For Biological Sciences [0928690] Funding Source: National Science Foundation
- Emerging Frontiers [0928690] Funding Source: National Science Foundation
- Medical Research Council [MR/K021680/1, MR/K010174/1, MR/J008761/1, MR/K010174/1B] Funding Source: researchfish
- National Institute for Health Research [HPRU-2012-10080] Funding Source: researchfish
- MRC [MR/K010174/1, MR/J008761/1, MR/K021680/1] Funding Source: UKRI
Studying the emergence of novel infectious agents involves many processes spanning host species, spatial scales, and scientific disciplines. Mathematical models play an essential role in combining insights from these investigations and drawing robust inferences from field and experimental data. We describe nine challenges in modelling the emergence of novel pathogens, emphasizing the interface between models and data. (C) 2014 The Authors. Published by Elsevier B.V.
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