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Cited by 389

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Harmful algal blooms and public health

Open access
Grattan, Lynn M., Holobaugh, Sailor, Morris, J. Glenn·2016·Harmful Algae

Abstract

The five most commonly recognized Harmful Algal Bloom related illnesses include Ciguatera poisoning, Paralytic Shellfish poisoning, Neurotoxin Shellfish poisoning, Diarrheic Shellfish Poisoning and Amnesic Shellfish poisoning. Although they are each the product of different toxins, toxin assemblages or HAB precursors these clinical syndromes have much in common. Exposure occurs through the consumption of fish or shellfish; routine clinical tests are not available for diagnosis; there is no known antidote for exposure; and the risk of these illnesses can negatively impact local fishing and tourism industries. Thus, illness prevention is of paramount importance to minimize human and public health risks. To accomplish this, close communication and collaboration is needed among HAB scientists, public health researchers and local, state and tribal health departments at academic, community outreach, and policy levels.

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Crossref · 10.1016/j.hal.2016.05.003

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Metadata

Authors
Grattan, L. M., Holobaugh, S., & Morris, J. G.
Venue
Harmful Algae
Publisher
Elsevier BV
Published
2016-07
Volume
57
Issue
B
Pages
2-8
ISSN
1568-9883 (ISSN-L)
OpenAlex
W2517064000
Cited by
389
References
56
FWCI
10.70
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Harmful algal blooms and public health. https://app.cochat.ai/papers/10.1016/j.hal.2016.05.003
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Grattan, L. M., Holobaugh, S., & Morris, J. G. (2016). Harmful algal blooms and public health. Harmful Algae. https://doi.org/10.1016/j.hal.2016.05.003

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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.