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Cited by 840

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Global Epidemiology of Influenza: Past and Present

Cox, N. J., Subbarao, K.·2000·Annual Review of Medicine

Abstract

▪ Abstract Pandemics are the most dramatic presentation of influenza. Three have occurred in the twentieth century: the 1918 H1N1 pandemic, the 1957 H2N2 pandemic, and the 1968 H3N2 pandemic. The tools of molecular epidemiology have been applied in an attempt to determine the origin of pandemic viruses and to understand what made them such successful pathogens. An excellent example of this avenue of research is the recent phylogenetic analysis of genes of the virus that caused the devastating 1918 pandemic. This analysis has been used to identify evolutionarily related influenza virus genes as a clue to the source of the pandemic of 1918. Molecular methods have been used to investigate the avian H5N1 and H9N2 influenza viruses that recently infected humans in Hong Kong. Antigenic, genetic, and epidemiologic analyses have also furthered our understanding of interpandemic influenza. Although many questions remain, advances of the past two decades have demonstrated that several widely held concepts concerning the global epidemiology of influenza were false.

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Crossref · 10.1146/annurev.med.51.1.407

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Metadata

Authors
Cox, N. J., & Subbarao, K.
Venue
Annual Review of Medicine
Published
2000-02
Volume
51
Issue
1
Pages
407-421
ISSN
  • 0066-4219 (ISSN-L)
  • 1545-326X
OpenAlex
W2146982119
Cited by
840
References
2
FWCI
2.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Global Epidemiology of Influenza: Past and Present. https://app.cochat.ai/papers/10.1146/annurev.med.51.1.407
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Cox, N. J., & Subbarao, K. (2000). Global Epidemiology of Influenza: Past and Present. Annual Review of Medicine. https://doi.org/10.1146/annurev.med.51.1.407

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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.