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Digital Surveillance: A Novel Approach to Monitoring the Illegal Wildlife Trade

A dearth of information obscures the true scale of the global illegal trade in wildlife. Herein, we introduce an automated web crawling surveillance system developed to monitor reports on illegally traded wildlife. A resource for enforcement officials as well as the general public, the freely availa...

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Autores principales: Sonricker Hansen, Amy L., Li, Annie, Joly, Damien, Mekaru, Sumiko, Brownstein, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517447/
https://www.ncbi.nlm.nih.gov/pubmed/23236444
http://dx.doi.org/10.1371/journal.pone.0051156
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author Sonricker Hansen, Amy L.
Li, Annie
Joly, Damien
Mekaru, Sumiko
Brownstein, John S.
author_facet Sonricker Hansen, Amy L.
Li, Annie
Joly, Damien
Mekaru, Sumiko
Brownstein, John S.
author_sort Sonricker Hansen, Amy L.
collection PubMed
description A dearth of information obscures the true scale of the global illegal trade in wildlife. Herein, we introduce an automated web crawling surveillance system developed to monitor reports on illegally traded wildlife. A resource for enforcement officials as well as the general public, the freely available website, http://www.healthmap.org/wildlifetrade, provides a customizable visualization of worldwide reports on interceptions of illegally traded wildlife and wildlife products. From August 1, 2010 to July 31, 2011, publicly available English language illegal wildlife trade reports from official and unofficial sources were collected and categorized by location and species involved. During this interval, 858 illegal wildlife trade reports were collected from 89 countries. Countries with the highest number of reports included India (n = 146, 15.6%), the United States (n = 143, 15.3%), South Africa (n = 75, 8.0%), China (n = 41, 4.4%), and Vietnam (n = 37, 4.0%). Species reported as traded or poached included elephants (n = 107, 12.5%), rhinoceros (n = 103, 12.0%), tigers (n = 68, 7.9%), leopards (n = 54, 6.3%), and pangolins (n = 45, 5.2%). The use of unofficial data sources, such as online news sites and social networks, to collect information on international wildlife trade augments traditional approaches drawing on official reporting and presents a novel source of intelligence with which to monitor and collect news in support of enforcement against this threat to wildlife conservation worldwide.
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spelling pubmed-35174472012-12-12 Digital Surveillance: A Novel Approach to Monitoring the Illegal Wildlife Trade Sonricker Hansen, Amy L. Li, Annie Joly, Damien Mekaru, Sumiko Brownstein, John S. PLoS One Research Article A dearth of information obscures the true scale of the global illegal trade in wildlife. Herein, we introduce an automated web crawling surveillance system developed to monitor reports on illegally traded wildlife. A resource for enforcement officials as well as the general public, the freely available website, http://www.healthmap.org/wildlifetrade, provides a customizable visualization of worldwide reports on interceptions of illegally traded wildlife and wildlife products. From August 1, 2010 to July 31, 2011, publicly available English language illegal wildlife trade reports from official and unofficial sources were collected and categorized by location and species involved. During this interval, 858 illegal wildlife trade reports were collected from 89 countries. Countries with the highest number of reports included India (n = 146, 15.6%), the United States (n = 143, 15.3%), South Africa (n = 75, 8.0%), China (n = 41, 4.4%), and Vietnam (n = 37, 4.0%). Species reported as traded or poached included elephants (n = 107, 12.5%), rhinoceros (n = 103, 12.0%), tigers (n = 68, 7.9%), leopards (n = 54, 6.3%), and pangolins (n = 45, 5.2%). The use of unofficial data sources, such as online news sites and social networks, to collect information on international wildlife trade augments traditional approaches drawing on official reporting and presents a novel source of intelligence with which to monitor and collect news in support of enforcement against this threat to wildlife conservation worldwide. Public Library of Science 2012-12-07 /pmc/articles/PMC3517447/ /pubmed/23236444 http://dx.doi.org/10.1371/journal.pone.0051156 Text en © 2012 Hansen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Sonricker Hansen, Amy L.
Li, Annie
Joly, Damien
Mekaru, Sumiko
Brownstein, John S.
Digital Surveillance: A Novel Approach to Monitoring the Illegal Wildlife Trade
title Digital Surveillance: A Novel Approach to Monitoring the Illegal Wildlife Trade
title_full Digital Surveillance: A Novel Approach to Monitoring the Illegal Wildlife Trade
title_fullStr Digital Surveillance: A Novel Approach to Monitoring the Illegal Wildlife Trade
title_full_unstemmed Digital Surveillance: A Novel Approach to Monitoring the Illegal Wildlife Trade
title_short Digital Surveillance: A Novel Approach to Monitoring the Illegal Wildlife Trade
title_sort digital surveillance: a novel approach to monitoring the illegal wildlife trade
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517447/
https://www.ncbi.nlm.nih.gov/pubmed/23236444
http://dx.doi.org/10.1371/journal.pone.0051156
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