Spatial fine-resolution model of malaria risk for the Colombian Pacific region
ABSTRACT : Objective To categorise and map, at high resolution, the risk of malaria incidence in the Pacific region, the main malaria-endemic region of Colombia. Methods The relationship between the environmental variables Normalized Difference Vegetation Index Normalized Difference Water Index, Top...
- Autores:
-
Piedrahita Hernández, Stefani Andrea
Altamiranda Saavedra, Mariano
Correa Ochoa, Margarita María
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/31090
- Acceso en línea:
- https://hdl.handle.net/10495/31090
- Palabra clave:
- Anopheles
Malaria
Incidencia
Incidence
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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|
dc.title.spa.fl_str_mv |
Spatial fine-resolution model of malaria risk for the Colombian Pacific region |
title |
Spatial fine-resolution model of malaria risk for the Colombian Pacific region |
spellingShingle |
Spatial fine-resolution model of malaria risk for the Colombian Pacific region Anopheles Malaria Incidencia Incidence |
title_short |
Spatial fine-resolution model of malaria risk for the Colombian Pacific region |
title_full |
Spatial fine-resolution model of malaria risk for the Colombian Pacific region |
title_fullStr |
Spatial fine-resolution model of malaria risk for the Colombian Pacific region |
title_full_unstemmed |
Spatial fine-resolution model of malaria risk for the Colombian Pacific region |
title_sort |
Spatial fine-resolution model of malaria risk for the Colombian Pacific region |
dc.creator.fl_str_mv |
Piedrahita Hernández, Stefani Andrea Altamiranda Saavedra, Mariano Correa Ochoa, Margarita María |
dc.contributor.author.none.fl_str_mv |
Piedrahita Hernández, Stefani Andrea Altamiranda Saavedra, Mariano Correa Ochoa, Margarita María |
dc.subject.decs.none.fl_str_mv |
Anopheles Malaria Incidencia Incidence |
topic |
Anopheles Malaria Incidencia Incidence |
description |
ABSTRACT : Objective To categorise and map, at high resolution, the risk of malaria incidence in the Pacific region, the main malaria-endemic region of Colombia. Methods The relationship between the environmental variables Normalized Difference Vegetation Index Normalized Difference Water Index, Topographic Wetness Index, precipitation and temperature with the observed Annual Parasitic Index was evaluated using a generalised linear model. An incidence risk map at a resolution of 1 km2 was constructed and projected to the entire endemic region. Associations of malaria risk categories with both presence records and co-occurrence of the three main malaria vectors were determined. Results A significant correlation was found for the incidence of malaria with precipitation and Normalized Difference Vegetation Index (R2 = 0.98, P < 0.05), whereas there was no significant correlation with the remaining environmental and topographic variables. Moderate- to high-risk areas were located mainly in central Choco Department along the San Juan and Atrato rivers and in areas west of the Cauca River and Pacific lowlands of the Andes Mountains. There was a statistically significant relationship for the presence of the two main vectors Anopheles darlingi and Anopheles nuneztovari with the high malaria risk category. Furthermore, malaria risk was directly proportional to the number of co-occurring vector species. Conclusions The map obtained provides useful information on the risk of malaria in particular places of the Colombian Pacific region. The data can be used by public entities to optimise the allocation of economic resources for vector control interventions and surveillance. |
publishDate |
2020 |
dc.date.issued.none.fl_str_mv |
2020 |
dc.date.accessioned.none.fl_str_mv |
2022-10-06T14:39:18Z |
dc.date.available.none.fl_str_mv |
2022-10-06T14:39:18Z |
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.issn.none.fl_str_mv |
1360-2276 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10495/31090 |
dc.identifier.doi.none.fl_str_mv |
10.1111/tmi.13443 |
dc.identifier.eissn.none.fl_str_mv |
1365-3156 |
identifier_str_mv |
1360-2276 10.1111/tmi.13443 1365-3156 |
url |
https://hdl.handle.net/10495/31090 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Trop. Med. Int. Health. |
dc.rights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/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-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/2.5/co/ http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.format.extent.spa.fl_str_mv |
8 |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Blackwell Science Publications |
dc.publisher.group.spa.fl_str_mv |
Microbiología Molecular |
dc.publisher.place.spa.fl_str_mv |
Oxford, Inglaterra |
institution |
Universidad de Antioquia |
bitstream.url.fl_str_mv |
https://bibliotecadigital.udea.edu.co/bitstream/10495/31090/2/license_rdf https://bibliotecadigital.udea.edu.co/bitstream/10495/31090/3/license.txt https://bibliotecadigital.udea.edu.co/bitstream/10495/31090/1/PiedrahitaStefani_2020%20_Spatial%20fine%e2%80%90resolution.pdf |
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Repositorio Institucional Universidad de Antioquia |
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andres.perez@udea.edu.co |
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spelling |
Piedrahita Hernández, Stefani AndreaAltamiranda Saavedra, MarianoCorrea Ochoa, Margarita María2022-10-06T14:39:18Z2022-10-06T14:39:18Z20201360-2276https://hdl.handle.net/10495/3109010.1111/tmi.134431365-3156ABSTRACT : Objective To categorise and map, at high resolution, the risk of malaria incidence in the Pacific region, the main malaria-endemic region of Colombia. Methods The relationship between the environmental variables Normalized Difference Vegetation Index Normalized Difference Water Index, Topographic Wetness Index, precipitation and temperature with the observed Annual Parasitic Index was evaluated using a generalised linear model. An incidence risk map at a resolution of 1 km2 was constructed and projected to the entire endemic region. Associations of malaria risk categories with both presence records and co-occurrence of the three main malaria vectors were determined. Results A significant correlation was found for the incidence of malaria with precipitation and Normalized Difference Vegetation Index (R2 = 0.98, P < 0.05), whereas there was no significant correlation with the remaining environmental and topographic variables. Moderate- to high-risk areas were located mainly in central Choco Department along the San Juan and Atrato rivers and in areas west of the Cauca River and Pacific lowlands of the Andes Mountains. There was a statistically significant relationship for the presence of the two main vectors Anopheles darlingi and Anopheles nuneztovari with the high malaria risk category. Furthermore, malaria risk was directly proportional to the number of co-occurring vector species. Conclusions The map obtained provides useful information on the risk of malaria in particular places of the Colombian Pacific region. The data can be used by public entities to optimise the allocation of economic resources for vector control interventions and surveillance.COL00137468application/pdfengBlackwell Science PublicationsMicrobiología MolecularOxford, Inglaterrainfo: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-nc-nd/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-nd/4.0/Spatial fine-resolution model of malaria risk for the Colombian Pacific regionAnophelesMalariaIncidenciaIncidenceTrop. Med. Int. Health.Tropical Medicine and International Health10241031258CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8823https://bibliotecadigital.udea.edu.co/bitstream/10495/31090/2/license_rdfb88b088d9957e670ce3b3fbe2eedbc13MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstream/10495/31090/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53ORIGINALPiedrahitaStefani_2020 _Spatial fine‐resolution.pdfPiedrahitaStefani_2020 _Spatial fine‐resolution.pdfArtículo de investigaciónapplication/pdf1137312https://bibliotecadigital.udea.edu.co/bitstream/10495/31090/1/PiedrahitaStefani_2020%20_Spatial%20fine%e2%80%90resolution.pdfaa3ae1dc1db6dcc5380a2c36ed8c45a6MD5110495/31090oai:bibliotecadigital.udea.edu.co:10495/310902022-10-06 09:39:19.317Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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 |