Sampling Design and Mosquito Trapping For Surveillance of Arboviral Activity.

Capítulo de libro electrónico

Autores:
Paternina, Luís E.
Rodas, Juan David
Tipo de recurso:
Part of book
Fecha de publicación:
2019
Institución:
Universidad de Sucre
Repositorio:
Repositorio Unisucre
Idioma:
eng
OAI Identifier:
oai:repositorio.unisucre.edu.co:001/983
Acceso en línea:
https://repositorio.unisucre.edu.co/handle/001/983
Palabra clave:
GIS
Mosquitoes
Sampling
Trapping methods
Arbovirus
Surveillance
Rights
openAccess
License
Derechos Reservados - Universidad de Sucre, 2019
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dc.title.spa.fl_str_mv Sampling Design and Mosquito Trapping For Surveillance of Arboviral Activity.
title Sampling Design and Mosquito Trapping For Surveillance of Arboviral Activity.
spellingShingle Sampling Design and Mosquito Trapping For Surveillance of Arboviral Activity.
GIS
Mosquitoes
Sampling
Trapping methods
Arbovirus
Surveillance
title_short Sampling Design and Mosquito Trapping For Surveillance of Arboviral Activity.
title_full Sampling Design and Mosquito Trapping For Surveillance of Arboviral Activity.
title_fullStr Sampling Design and Mosquito Trapping For Surveillance of Arboviral Activity.
title_full_unstemmed Sampling Design and Mosquito Trapping For Surveillance of Arboviral Activity.
title_sort Sampling Design and Mosquito Trapping For Surveillance of Arboviral Activity.
dc.creator.fl_str_mv Paternina, Luís E.
Rodas, Juan David
dc.contributor.author.spa.fl_str_mv Paternina, Luís E.
Rodas, Juan David
dc.subject.proposal.spa.fl_str_mv GIS
Mosquitoes
Sampling
Trapping methods
Arbovirus
Surveillance
topic GIS
Mosquitoes
Sampling
Trapping methods
Arbovirus
Surveillance
description Capítulo de libro electrónico
publishDate 2019
dc.date.accessioned.spa.fl_str_mv 2019-11-22T21:48:31Z
dc.date.available.spa.fl_str_mv 2019-11-22T21:48:31Z
dc.date.issued.spa.fl_str_mv 2019-11-22
dc.type.spa.fl_str_mv Capítulo de Libro
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dc.identifier.isbn.spa.fl_str_mv 978-1-4939-6980-7.
dc.identifier.uri.spa.fl_str_mv https://repositorio.unisucre.edu.co/handle/001/983
identifier_str_mv 978-1-4939-6980-7.
url https://repositorio.unisucre.edu.co/handle/001/983
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv Libro
dc.relation.references.spa.fl_str_mv Shuman EK (2010) Global climate change and infectious diseases. N Engl J Med 362: 1061–1063.
Tami A, Grillet ME, Grobusch MP (2016) Applying Geographical Information Systems (GIS) to arboviral disease surveillance and control: a powerful tool. Travel Med Infect Dis 14:9–10. doi:10.1016/j.tmaid.2016.01.002.
Clements ACA, Pfeiffer DU (2009) Emerging viral zoonoses: frameworks for spatial and spatiotemporal risk assessment and resource planning. Vet J 182:21–30. doi:10.1016/j. tvjl.2008.05.010.
de Melo DPO, Scherrer LR, Eiras ÁE (2012) Dengue fever occurrence and vector detection by larval survey, ovitrap and mosquiTRAP: a space-time clusters analysis. PLoS One. doi:10.1371/journal.pone.0042125de Melo DPO, Scherrer LR, Eiras ÁE (2012) Dengue fever occurrence and vector detection by larval survey, ovitrap and mosquiTRAP: a space-time clusters analysis. PLoS One. doi:10.1371/journal.pone.0042125.
Van den Hurk AF, Nisbet DJ, Foley PN et al (2002) Isolation of arboviruses from mosquitoes
(Diptera: Culicidae) collected from the Gulf Plains region of northwest Queensland, Australia. J Med Entomol 39:786–792. doi:10.1603/0022-2585(2002)039[0786:IOA FMD]2.0.CO;2.
dc.rights.spa.fl_str_mv Derechos Reservados - Universidad de Sucre, 2019
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dc.rights.creativecommons.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)
rights_invalid_str_mv Derechos Reservados - Universidad de Sucre, 2019
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Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)
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eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.coverage.spatial.spa.fl_str_mv Colombia
dc.publisher.spa.fl_str_mv India: Maria S. Salvato, 2017.
dc.source.spa.fl_str_mv https://www.ncbi.nlm.nih.gov/pubmed/28986827.
institution Universidad de Sucre
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spelling Paternina, Luís E.0c4d2f0bc773b6185454e4490f0cfa5d-1Rodas, Juan David0de6a8e40f8a0d56ce01452f6d34c58f-1Colombia2019-11-22T21:48:31Z2019-11-22T21:48:31Z2019-11-22978-1-4939-6980-7.https://repositorio.unisucre.edu.co/handle/001/983Capítulo de libro electrónicoMosquitoes are the most important vectors for arboviral human diseases across the world. Diseases such as Dengue Fever (DF), West Nile Virus (WNV), Yellow Fever (YF), Japanese Encephalitis (JE), Venezuelan Equine Encephalitis (VEE), and St. Louis Encephalitis (SLE), among others, have a deep impact in public health. Usually mosquitoes acquire the arboviral infection when they feed on viremic animals (birds or mammals), so their infection can be detected along the year or in short periods of time (seasons). All of this depends on the frequency and seasonality of the encounters between viremic animals and vectors. With the convergence of several phenomena like the increasing traveling of human populations, globalization of economy and more recently the global warming, the introduction of nonendemic arbovirus into new areas has become the current scenario. As examples of this new social and environmental frame we can mention the outbreak of West Nile Virus in North America in the late 1990s and more recently the outbreaks of chikungunya and Zika virus in the Americas. The present chapter deals with one of the first steps in the development of research studies and diagnosis programs, the surveillance of arboviruses in their vectors, the sampling design and mosquito trapping methods. The chapter also includes some important considerations and tips to be taken into account during the mosquito fieldwork.application/pdfengIndia: Maria S. Salvato, 2017.LibroShuman EK (2010) Global climate change and infectious diseases. N Engl J Med 362: 1061–1063.Tami A, Grillet ME, Grobusch MP (2016) Applying Geographical Information Systems (GIS) to arboviral disease surveillance and control: a powerful tool. Travel Med Infect Dis 14:9–10. doi:10.1016/j.tmaid.2016.01.002.Clements ACA, Pfeiffer DU (2009) Emerging viral zoonoses: frameworks for spatial and spatiotemporal risk assessment and resource planning. Vet J 182:21–30. doi:10.1016/j. tvjl.2008.05.010.de Melo DPO, Scherrer LR, Eiras ÁE (2012) Dengue fever occurrence and vector detection by larval survey, ovitrap and mosquiTRAP: a space-time clusters analysis. PLoS One. doi:10.1371/journal.pone.0042125de Melo DPO, Scherrer LR, Eiras ÁE (2012) Dengue fever occurrence and vector detection by larval survey, ovitrap and mosquiTRAP: a space-time clusters analysis. PLoS One. doi:10.1371/journal.pone.0042125.Van den Hurk AF, Nisbet DJ, Foley PN et al (2002) Isolation of arboviruses from mosquitoes(Diptera: Culicidae) collected from the Gulf Plains region of northwest Queensland, Australia. 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