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Cited by 313

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Emerging infections: a perpetual challenge

Open access
Morens, David M, Folkers, Gregory K, Fauci, Anthony S·2008·The Lancet Infectious Diseases

Abstract

Emerging and re-emerging infectious diseases, and their determinants, have recently attracted substantial scientific and popular attention. HIV/AIDS, severe acute respiratory syndrome, H5N1 avian influenza, and many other emerging diseases have either proved fatal or caused international alarm. Common and interactive co-determinants of disease emergence, including population growth, travel, and environmental disruption, have been increasingly documented and studied. Are emerging infections a new phenomenon related to modern life, or do more basic determinants, transcending time, place, and human progress, govern disease generation? By examining a number of historically notable epidemics, we suggest that emerging diseases, similar in their novelty, impact, and elicitation of control responses, have occurred throughout recorded history. Fundamental determinants, typically acting in concert, seem to underlie their emergence, and infections such as these are likely to continue to remain challenges to human survival.

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Crossref · 10.1016/s1473-3099(08)70256-1

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Metadata

Authors
Morens, D. M., Folkers, G. K., & Fauci, A. S.
Venue
The Lancet Infectious Diseases
Publisher
Elsevier BV
Published
2008-11
Volume
8
Issue
11
Pages
710-719
ISSN
1473-3099 (ISSN-L)
OpenAlex
W2128150724
Cited by
313
References
38
FWCI
13.95
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Emerging infections: a perpetual challenge. https://app.cochat.ai/papers/10.1016/s1473-3099(08)70256-1
The paper
Morens, D. M., Folkers, G. K., & Fauci, A. S. (2008). Emerging infections: a perpetual challenge. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(08)70256-1

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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.