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Cited by 199

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

Antigenic Diversity and the Transmission Dynamics of Plasmodium falciparum

Gupta, Sunetra, Trenholme, Katharine, Anderson, Roy M., Day, Karen P.·1994·Science

Abstract

The average age of humans at their first infection with Plasmodium falciparum is typically less than 1 year in most endemic areas. This has been interpreted as evidence of the high transmissibility of the parasite, with the implication that control of malaria will require high levels of coverage with a potential vaccine. This interpretation is challenged by mathematical models that demonstrate that the long period required to develop immunity to malaria permits a high risk (or low average age) of infection even when parasite transmissibility is low. Patterns of seroconversion to five antigenically distinct isolates of P. falciparum in a highly malarious area of Papua New Guinea indicate that each is only mildly transmissible and that malaria, as a construct of several such independently transmitted strains, has a basic reproductive rate (or transmissibility) that is an order of magnitude lower than other estimates.

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Metadata

Authors
Gupta, S., Trenholme, K., Anderson, R. M., & Day, K. P.
Venue
Science
Published
1994-02-18
Volume
263
Issue
5149
Pages
961-963
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2013510734
Cited by
199
References
2
FWCI
20.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Antigenic Diversity and the Transmission Dynamics of Plasmodium falciparum. https://app.cochat.ai/papers/10.1126/science.8310293
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Gupta, S., Trenholme, K., Anderson, R. M., & Day, K. P. (1994). Antigenic Diversity and the Transmission Dynamics of Plasmodium falciparum. Science. https://doi.org/10.1126/science.8310293

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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.