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Integrating human behavior and snake ecology with agent-based models to predict snakebite in high ri...

Integrating human behavior and snake ecology with agent-based models to predict snakebite in high ri...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f26ef41a2502430483e37931b7cbee15

Integrating human behavior and snake ecology with agent-based models to predict snakebite in high risk landscapes

About this item

Full title

Integrating human behavior and snake ecology with agent-based models to predict snakebite in high risk landscapes

Publisher

United States: Public Library of Science

Journal title

PLoS neglected tropical diseases, 2021-01, Vol.15 (1), p.e0009047

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Snakebite causes more than 1.8 million envenoming cases annually and is a major cause of death in the tropics especially for poor farmers. While both social and ecological factors influence the chance encounter between snakes and people, the spatio-temporal processes underlying snakebites remain poorly explored. Previous research has focused on sta...

Alternative Titles

Full title

Integrating human behavior and snake ecology with agent-based models to predict snakebite in high risk landscapes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f26ef41a2502430483e37931b7cbee15

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f26ef41a2502430483e37931b7cbee15

Other Identifiers

ISSN

1935-2735,1935-2727

E-ISSN

1935-2735

DOI

10.1371/journal.pntd.0009047

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