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Cited by 877

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Identifying Reservoirs of Infection: A Conceptual and Practical Challenge

Open access
·2002·Emerging Infectious Diseases

Abstract

Many infectious agents, especially those that cause emerging diseases, infect more than one host species. Managing reservoirs of multihost pathogens often plays a crucial role in effective disease control. However, reservoirs remain variously and loosely defined. We propose that reservoirs can only be understood with reference to defined target populations. Therefore, we define a reservoir as one or more epidemiologically connected populations or environments in which the pathogen can be permanently maintained and from which infection is transmitted to the defined target population. Existence of a reservoir is confirmed when infection within the target population cannot be sustained after all transmission between target and nontarget populations has been eliminated. When disease can be controlled solely by interventions within target populations, little knowledge of potentially complex reservoir infection dynamics is necessary for effective control. We discuss the practical value of different approaches that may be used to identify reservoirs in the field.

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Metadata

Venue
Emerging Infectious Diseases
Published
2002-12
Volume
8
Issue
12
Pages
1468-1473
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
OpenAlex
W2117647297
Cited by
877
References
1
FWCI
12.33
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Identifying Reservoirs of Infection: A Conceptual and Practical Challenge. https://app.cochat.ai/papers/10.3201/eid0812.010317
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Identifying Reservoirs of Infection: A Conceptual and Practical Challenge. (2002). Emerging Infectious Diseases. https://doi.org/10.3201/eid0812.010317

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.