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:	Amy L Sonricker Hansen, Annie Li, Damien Joly, Sumiko Mekaru, John S Brownstein
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/668f16993b6a46598182d293d3b1a7fb
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spelling	oai:doaj.org-article:668f16993b6a46598182d293d3b1a7fb2021-11-18T08:05:59ZDigital surveillance: a novel approach to monitoring the illegal wildlife trade.1932-620310.1371/journal.pone.0051156https://doaj.org/article/668f16993b6a46598182d293d3b1a7fb2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23236444/?tool=EBIhttps://doaj.org/toc/1932-6203A 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.Amy L Sonricker HansenAnnie LiDamien JolySumiko MekaruJohn S BrownsteinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 12, p e51156 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Amy L Sonricker Hansen Annie Li Damien Joly Sumiko Mekaru John S Brownstein Digital surveillance: a novel approach to monitoring the illegal wildlife trade.
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.
format	article
author	Amy L Sonricker Hansen Annie Li Damien Joly Sumiko Mekaru John S Brownstein
author_facet	Amy L Sonricker Hansen Annie Li Damien Joly Sumiko Mekaru John S Brownstein
author_sort	Amy L Sonricker Hansen
title	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_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_sort	digital surveillance: a novel approach to monitoring the illegal wildlife trade.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/668f16993b6a46598182d293d3b1a7fb
work_keys_str_mv	AT amylsonrickerhansen digitalsurveillanceanovelapproachtomonitoringtheillegalwildlifetrade AT annieli digitalsurveillanceanovelapproachtomonitoringtheillegalwildlifetrade AT damienjoly digitalsurveillanceanovelapproachtomonitoringtheillegalwildlifetrade AT sumikomekaru digitalsurveillanceanovelapproachtomonitoringtheillegalwildlifetrade AT johnsbrownstein digitalsurveillanceanovelapproachtomonitoringtheillegalwildlifetrade
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Digital surveillance: a novel approach to monitoring the illegal wildlife trade.

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