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Cited by 1,163

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Containing Pandemic Influenza at the Source

Longini, Ira M., Nizam, Azhar, Xu, Shufu, Ungchusak, Kumnuan, Hanshaoworakul, Wanna, Cummings, Derek A. T., Halloran, M. Elizabeth·2005·Science

Abstract

Highly pathogenic avian influenza A (subtype H5N1) is threatening to cause a human pandemic of potentially devastating proportions. We used a stochastic influenza simulation model for rural Southeast Asia to investigate the effectiveness of targeted antiviral prophylaxis, quarantine, and pre-vaccination in containing an emerging influenza strain at the source. If the basic reproductive number ( R 0 ) was below 1.60, our simulations showed that a prepared response with targeted antivirals would have a high probability of containing the disease. In that case, an antiviral agent stockpile on the order of 100,000 to 1 million courses for treatment and prophylaxis would be sufficient. If pre-vaccination occurred, then targeted antiviral prophylaxis could be effective for containing strains with an R 0 as high as 2.1. Combinations of targeted antiviral prophylaxis, pre-vaccination, and quarantine could contain strains with an R 0 as high as 2.4.

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Metadata

Authors
Longini, I. M., Nizam, A., Xu, S., Ungchusak, K., Hanshaoworakul, W., Cummings, D. A. T., & Halloran, M. E.
Venue
Science
Published
2005-08-12
Volume
309
Issue
5737
Pages
1083-1087
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2162707016
Cited by
1,163
References
25
FWCI
60.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Containing Pandemic Influenza at the Source. https://app.cochat.ai/papers/10.1126/science.1115717
The paper
Longini, I. M., Nizam, A., Xu, S., Ungchusak, K., Hanshaoworakul, W., Cummings, D. A. T., & Halloran, M. E. (2005). Containing Pandemic Influenza at the Source. Science. https://doi.org/10.1126/science.1115717

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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.