Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) Analysis
ABSTRACT: Dengue is a viral disease caused by a flavivirus that is transmitted by mosquitoes of the genus Aedes. There is currently no specific treatment or commercial vaccine for its control and prevention; therefore, mosquito population control is the only alternative for preventing the occurrence...
- Autores:
-
Parra Amaya, Mayra Elizabeth
Puerta Yepes, María Eugenia
Lizarralde Bejarano, Diana Paola
Arboleda Sánchez, Sair Orieta
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2016
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/20091
- Acceso en línea:
- http://hdl.handle.net/10495/20091
- Palabra clave:
- Alerta Temprana
Early Warning
Análisis Espacial
Spatial Analysis
Aedes
Dengue
índices temporales
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by/2.5/co/
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|
dc.title.spa.fl_str_mv |
Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) Analysis |
title |
Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) Analysis |
spellingShingle |
Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) Analysis Alerta Temprana Early Warning Análisis Espacial Spatial Analysis Aedes Dengue índices temporales |
title_short |
Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) Analysis |
title_full |
Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) Analysis |
title_fullStr |
Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) Analysis |
title_full_unstemmed |
Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) Analysis |
title_sort |
Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) Analysis |
dc.creator.fl_str_mv |
Parra Amaya, Mayra Elizabeth Puerta Yepes, María Eugenia Lizarralde Bejarano, Diana Paola Arboleda Sánchez, Sair Orieta |
dc.contributor.author.none.fl_str_mv |
Parra Amaya, Mayra Elizabeth Puerta Yepes, María Eugenia Lizarralde Bejarano, Diana Paola Arboleda Sánchez, Sair Orieta |
dc.subject.decs.none.fl_str_mv |
Alerta Temprana Early Warning Análisis Espacial Spatial Analysis Aedes Dengue |
topic |
Alerta Temprana Early Warning Análisis Espacial Spatial Analysis Aedes Dengue índices temporales |
dc.subject.proposal.spa.fl_str_mv |
índices temporales |
description |
ABSTRACT: Dengue is a viral disease caused by a flavivirus that is transmitted by mosquitoes of the genus Aedes. There is currently no specific treatment or commercial vaccine for its control and prevention; therefore, mosquito population control is the only alternative for preventing the occurrence of dengue. For this reason, entomological surveillance is recommended by World Health Organization (WHO) to measure dengue risk in endemic areas; however, several works have shown that the current methodology (aedic indices) is not sufficient for predicting dengue. In this work, we modified indices proposed for epidemic periods. The raw value of the epidemiological wave could be useful for detecting risk in epidemic periods; however, risk can only be detected if analyses incorporate the maximum epidemiological wave. Risk classification was performed according to Local Indicators of Spatial Association (LISA) methodology. The modified indices were analyzed using several hypothetical scenarios to evaluate their sensitivity. We found that modified índices could detect spatial and differential risks in epidemic and endemic years, which makes them a useful tool for the early detection of a dengue outbreak. In conclusion, the modified indices could predict risk at the spatio-temporal level in endemic years and could be incorporated in surveillance activities in endemic places. |
publishDate |
2016 |
dc.date.issued.none.fl_str_mv |
2016 |
dc.date.accessioned.none.fl_str_mv |
2021-06-11T03:41:31Z |
dc.date.available.none.fl_str_mv |
2021-06-11T03:41:31Z |
dc.type.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.hasversion.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/ART |
dc.type.local.spa.fl_str_mv |
Artículo de investigación |
format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
status_str |
publishedVersion |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10495/20091 |
dc.identifier.doi.none.fl_str_mv |
10.3390/diseases4020016 |
dc.identifier.eissn.none.fl_str_mv |
2079-9721 |
url |
http://hdl.handle.net/10495/20091 |
identifier_str_mv |
10.3390/diseases4020016 2079-9721 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Diseases |
dc.rights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by/2.5/co/ |
dc.rights.accessrights.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.creativecommons.spa.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/2.5/co/ http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
dc.format.extent.spa.fl_str_mv |
11 |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
MDPI |
dc.publisher.group.spa.fl_str_mv |
Biología y Control de Enfermedades Infecciosas |
dc.publisher.place.spa.fl_str_mv |
Basilea, Suiza |
institution |
Universidad de Antioquia |
bitstream.url.fl_str_mv |
https://bibliotecadigital.udea.edu.co/bitstream/10495/20091/1/ArboledaSair_2016_DetectionDengueSpatial.pdf https://bibliotecadigital.udea.edu.co/bitstream/10495/20091/2/license_rdf https://bibliotecadigital.udea.edu.co/bitstream/10495/20091/3/license.txt |
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bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad de Antioquia |
repository.mail.fl_str_mv |
andres.perez@udea.edu.co |
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1812173299568869376 |
spelling |
Parra Amaya, Mayra ElizabethPuerta Yepes, María EugeniaLizarralde Bejarano, Diana PaolaArboleda Sánchez, Sair Orieta2021-06-11T03:41:31Z2021-06-11T03:41:31Z2016http://hdl.handle.net/10495/2009110.3390/diseases40200162079-9721ABSTRACT: Dengue is a viral disease caused by a flavivirus that is transmitted by mosquitoes of the genus Aedes. There is currently no specific treatment or commercial vaccine for its control and prevention; therefore, mosquito population control is the only alternative for preventing the occurrence of dengue. For this reason, entomological surveillance is recommended by World Health Organization (WHO) to measure dengue risk in endemic areas; however, several works have shown that the current methodology (aedic indices) is not sufficient for predicting dengue. In this work, we modified indices proposed for epidemic periods. The raw value of the epidemiological wave could be useful for detecting risk in epidemic periods; however, risk can only be detected if analyses incorporate the maximum epidemiological wave. Risk classification was performed according to Local Indicators of Spatial Association (LISA) methodology. The modified indices were analyzed using several hypothetical scenarios to evaluate their sensitivity. We found that modified índices could detect spatial and differential risks in epidemic and endemic years, which makes them a useful tool for the early detection of a dengue outbreak. In conclusion, the modified indices could predict risk at the spatio-temporal level in endemic years and could be incorporated in surveillance activities in endemic places.COL000786511application/pdfengMDPIBiología y Control de Enfermedades InfecciosasBasilea, Suizainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by/4.0/Early Detection for Dengue Using Local Indicator of Spatial Association (LISA) AnalysisAlerta TempranaEarly WarningAnálisis EspacialSpatial AnalysisAedesDengueíndices temporalesDiseasesDiseases11142ORIGINALArboledaSair_2016_DetectionDengueSpatial.pdfArboledaSair_2016_DetectionDengueSpatial.pdfArtículo de investigaciónapplication/pdf3051472https://bibliotecadigital.udea.edu.co/bitstream/10495/20091/1/ArboledaSair_2016_DetectionDengueSpatial.pdf870d05c15469157b3b06af5a7765eef9MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927https://bibliotecadigital.udea.edu.co/bitstream/10495/20091/2/license_rdf1646d1f6b96dbbbc38035efc9239ac9cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstream/10495/20091/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310495/20091oai:bibliotecadigital.udea.edu.co:10495/200912023-08-22 16:39:33.815Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.coTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo= |