The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Pathogen–host–environment interplay and disease emergence
Open accessAbstract
Gaining insight in likely disease emergence scenarios is critical to preventing such events from happening. Recent focus has been on emerging zoonoses and on identifying common patterns and drivers of emerging diseases. However, no overarching framework exists to integrate knowledge on all emerging infectious disease events. Here, we propose such a conceptual framework based on changes in the interplay of pathogens, hosts and environment that lead to the formation of novel disease patterns and pathogen genetic adjustment. We categorize infectious disease emergence events into three groups: (i) pathogens showing up in a novel host, ranging from spill-over, including zoonoses, to complete species jumps; (ii) mutant pathogens displaying novel traits in the same host, including an increase in virulence, antimicrobial resistance and host immune escape; and (iii) disease complexes emerging in a new geographic area, either through range expansion or through long distance jumps. Each of these categories is characterized by a typical set of drivers of emergence, matching pathogen trait profiles, disease ecology and transmission dynamics. Our framework may assist in disentangling and structuring the rapidly growing amount of available information on infectious diseases. Moreover, it may contribute to a better understanding of how human action changes disease landscapes globally.
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Cites
Global trends in emerging infectious diseases
Jones, K. E., Patel, N. G., Levy, M. A., Storeygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008) · Nature · doi:10.1038/nature06536 · Cited by 8,338
Risk factors for human disease emergence
Taylor, L. H., Latham, S. M., & woolhouse, M. E. J. (2001) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2001.0888 · Cited by 2,835
Antibiotic resistance is ancient
D’Costa, V. M., King, C. E., Kalan, L., Morar, M., Sung, W. W. L., Schwarz, C., Froese, D., Zazula, G., Calmels, F., Debruyne, R., et al. (2011) · Nature · doi:10.1038/nature10388 · Cited by 2,720
Origins of major human infectious diseases
Wolfe, N. D., Dunavan, C. P., & Diamond, J. (2007) · Nature · doi:10.1038/nature05775 · Cited by 1,867
Host Range and Emerging and Reemerging Pathogens
Woolhouse, M. E. J., & Gowtage-Sequeria, S. (2005) · Emerging Infectious Diseases · doi:10.3201/eid1112.050997 · Cited by 1,586 · cited 4×
“2, 4, 11, 13 Drivers shaping emergence in domestic animals and wildlife are analogous to the drivers for EIDs in humans.”
BackgroundInfluentialVignuzzi, M., Stone, J. K., Arnold, J. J., Cameron, C. E., & Andino, R. (2006) · Nature · doi:10.1038/nature04388 · Cited by 1,116
Agosta, S. J., Janz, N., & Brooks, D. R. (2010) · Zoologia (Curitiba) · doi:10.1590/s1984-46702010000200001 · Cited by 316
Cited by
Fusarium: Molecular Diversity and Intrinsic Drug Resistance
Al-Hatmi, A. M. S., Meis, J. F., & de Hoog, G. S. (2016) · PLOS Pathogens · doi:10.1371/journal.ppat.1005464 · Cited by 432
Therapeutic potentials of bioactive compounds from mango fruit wastes
Asif, A., Farooq, U., Akram, K., Hayat, Z., Shafi, A., Sarfraz, F., Sidhu, M. A. I., Rehman, H.-U., & Aftab, S. (2016) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2016.05.004 · Cited by 113
Metadata
- Authors
- Engering, A., Hogerwerf, L., & Slingenbergh, J.
- Venue
- Emerging Microbes & Infections
- Publisher
- Informa UK Limited
- Published
- 2013-01
- Volume
- 2
- Issue
- 1
- Pages
- 1-7
- ISSN
- 2222-1751 (ISSN-L)
- OpenAlex
- W2080878230
- Cited by
- 308
- References
- 7
- FWCI
- 16.70
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.