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Cited by 219

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

Potential Impact of Antiviral Drug Use during Influenza Pandemic

Open access
Gani, Raymond, Hughes, Helen, Fleming, Douglas, Griffin, Thomas, Medlock, Jolyon, Leach, Steve·2005·Emerging Infectious Diseases

Abstract

The recent spread of highly pathogenic strains of avian influenza has highlighted the threat posed by pandemic influenza. In the early phases of a pandemic, the only treatment available would be neuraminidase inhibitors, which many countries are considering stockpiling for pandemic use. We estimate the effect on hospitalization rates of using different antiviral stockpile sizes to treat infection. We estimate that stockpiles that cover 20%-25% of the population would be sufficient to treat most of the clinical cases and could lead to 50% to 77% reductions in hospitalizations. Substantial reductions in hospitalization could be achieved with smaller antiviral stockpiles if drugs are reserved for persons at high risk.

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Registry

Crossref · 10.3201/eid1109.041344

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Metadata

Authors
Gani, R., Hughes, H., Fleming, D., Griffin, T., Medlock, J., & Leach, S.
Venue
Emerging Infectious Diseases
Published
2005-09
Volume
11
Issue
9
Pages
1355-1362
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
OpenAlex
W2086167141
Cited by
219
References
1
FWCI
19.85
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Potential Impact of Antiviral Drug Use during Influenza Pandemic. https://app.cochat.ai/papers/10.3201/eid1109.041344
The paper
Gani, R., Hughes, H., Fleming, D., Griffin, T., Medlock, J., & Leach, S. (2005). Potential Impact of Antiviral Drug Use during Influenza Pandemic. Emerging Infectious Diseases. https://doi.org/10.3201/eid1109.041344

Data sources

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.