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Cited by 630

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

Global Transport Networks and Infectious Disease Spread

Open access
Tatem, A.J., Rogers, D.J., Hay, S.I.·2006·Advances in Parasitology

Abstract

Air, sea and land transport networks continue to expand in reach, speed of travel and volume of passengers and goods carried. Pathogens and their vectors can now move further, faster and in greater numbers than ever before. Three important consequences of global transport network expansion are infectious disease pandemics, vector invasion events and vector-borne pathogen importation. This review briefly examines some of the important historical examples of these disease and vector movements, such as the global influenza pandemics, the devastating Anopheles gambiae invasion of Brazil and the recent increases in imported Plasmodium falciparum malaria cases. We then outline potential approaches for future studies of disease movement, focussing on vector invasion and vector-borne disease importation. Such approaches allow us to explore the potential implications of international air travel, shipping routes and other methods of transport on global pathogen and vector traffic.

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Metadata

Authors
Tatem, A. J., Rogers, D. J., & Hay, S. I.
Venue
Advances in Parasitology
Publisher
Elsevier
Published
2006
Volume
62
Pages
293-343
ISSN
0065-308X (ISSN-L)
OpenAlex
W1513151616
Cited by
630
References
122
FWCI
37.91
Type
book chapter
Language
en
Open access
green

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CoChat. (2026). Citation check: Global Transport Networks and Infectious Disease Spread. https://app.cochat.ai/papers/10.1016/s0065-308x(05)62009-x
The paper
Tatem, A. J., Rogers, D. J., & Hay, S. I. (2006). Global Transport Networks and Infectious Disease Spread. Advances in Parasitology. https://doi.org/10.1016/s0065-308x(05)62009-x

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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.