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dc.contributor.author
López, Walter Rodrigo
dc.contributor.author
Altamiranda Saavedra, Mariano
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Kehl, Sebastián D.
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Ferro, Luis Ignacio
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Bellomo, Carla María
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Martínez, Valeria P.
dc.contributor.author
Simoy, Mario Ignacio
dc.contributor.author
Gil, José Fernando
dc.date.available
2024-02-02T12:54:29Z
dc.date.issued
2023-12
dc.identifier.citation
López, Walter Rodrigo; Altamiranda Saavedra, Mariano; Kehl, Sebastián D.; Ferro, Luis Ignacio; Bellomo, Carla María; et al.; Modeling potential risk areas of Orthohantavirus transmission in Northwestern Argentina using an ecological niche approach; BioMed Central; BMC Public Health; 23; 1; 12-2023; 1-14
dc.identifier.issn
1471-2458
dc.identifier.uri
http://hdl.handle.net/11336/225589
dc.description.abstract
Background: Hantavirus Pulmonary Syndrome (HPS) is a rodent-borne zoonosis in the Americas, with up to 50% mortality rates. In Argentina, the Northwestern endemic area presents half of the annually notified HPS cases in the country, transmitted by at least three rodent species recognized as reservoirs of Orthohantavirus. The potential distribution of reservoir species based on ecological niche models (ENM) can be a useful tool to establish risk areas for zoonotic diseases. Our main aim was to generate an Orthohantavirus risk transmission map based on ENM of the reservoir species in northwest Argentina (NWA), to compare this map with the distribution of HPS cases; and to explore the possible effect of climatic and environmental variables on the spatial variation of the infection risk. Methods: Using the reservoir geographic occurrence data, climatic/environmental variables, and the maximum entropy method, we created models of potential geographic distribution for each reservoir in NWA. We explored the overlap of the HPS cases with the reservoir-based risk map and a deforestation map. Then, we calculated the human population at risk using a census radius layer and a comparison of the environmental variables’ latitudinal variation with the distribution of HPS risk. Results: We obtained a single best model for each reservoir. The temperature, rainfall, and vegetation cover contributed the most to the models. In total, 945 HPS cases were recorded, of which 97,85% were in the highest risk areas. We estimated that 18% of the NWA population was at risk and 78% of the cases occurred less than 10 km from deforestation. The highest niche overlap was between Calomys fecundus and Oligoryzomys chacoensis. Conclusions: This study identifies potential risk areas for HPS transmission based on climatic and environmental factors that determine the distribution of the reservoirs and Orthohantavirus transmission in NWA. This can be used by public health authorities as a tool to generate preventive and control measures for HPS in NWA.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
BioMed Central
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
CALOMYS
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ECOLOGICAL NICHE MODELING
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NORTHWESTERN ARGENTINA
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OLIGORYZOMYS
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ORTHOHANTAVIRUS
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RESERVOIRS
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RISK MAP
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Epidemiología
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Ciencias de la Salud
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CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Modeling potential risk areas of Orthohantavirus transmission in Northwestern Argentina using an ecological niche approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-01-30T15:45:33Z
dc.journal.volume
23
dc.journal.number
1
dc.journal.pagination
1-14
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: López, Walter Rodrigo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Salta. Sede Regional Orán. Instituto de Investigación de Enfermedades Tropicales; Argentina
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Fil: Altamiranda Saavedra, Mariano. Tecnológico de Antioquia Institución Universitaria; Colombia
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Fil: Kehl, Sebastián D.. Dirección Nacional de Instituto de Investigación.Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"; Argentina
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Fil: Ferro, Luis Ignacio. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina
dc.description.fil
Fil: Bellomo, Carla María. Dirección Nacional de Instituto de Investigación.Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"; Argentina
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Fil: Martínez, Valeria P.. Dirección Nacional de Instituto de Investigación.Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"; Argentina
dc.description.fil
Fil: Simoy, Mario Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto Multidisciplinario de Ecosistemas y Desarrollo Sustentable; Argentina
dc.description.fil
Fil: Gil, José Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto Multidisciplinario de Ecosistemas y Desarrollo Sustentable; Argentina. Universidad Nacional de Salta. Facultad de Ciencias Naturales; Argentina
dc.journal.title
BMC Public Health
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-023-16071-2
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1186/s12889-023-16071-2
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