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 risk landscapes
About this item
Full title
Author / Creator
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
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
Authors, Artists and Contributors
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