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dc.contributor.author
López, María S.
dc.contributor.author
Muller, Gabriela Viviana
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dc.contributor.author
Sione, Walter Fabian
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dc.date.available
2019-10-01T18:55:21Z
dc.date.issued
2018-08
dc.identifier.citation
López, María S.; Muller, Gabriela Viviana; Sione, Walter Fabian; Analysis of the spatial distribution of scientific publications regarding vector-borne diseases related to climate variability in South America; Elsevier; Spatial and Spatio-temporal Epidemiology; 26; 8-2018; 35-93
dc.identifier.issn
1877-5845
dc.identifier.uri
http://hdl.handle.net/11336/84958
dc.description.abstract
Most vector-borne diseases exhibit a distinct seasonal pattern, which clearly suggests that they are weather sensitive. Rainfall, temperature, and other climate variables affect in many ways both the vectors and the pathogens they transmit. Likewise, climate can be determinant in outbreaks incidence. A growing number of studies have provided evidence indicating the effects of climate variability on vector-borne diseases. However, oftentimes, the different diseases and regions are not uniformly represented, scarcity or lack of publications in some countries is common. The objectives of this work were to analyze the distribution and abundance of publications on vector-borne diseases associated with climate variability in South America, identify those works that conducted a geographic analysis and detect the countries where outbreaks occurred and the climate variables with which they were associated. A systematic review of the literature published on vector-borne diseases linked to climate variability in South America was conducted, identifying, evaluating and summarizing scientific papers. The distribution of the study areas and disease type in the publications were represented on maps. Dengue and leishmaniasis were the most studied and widely represented diseases in South America. The country with the largest number of published papers and presence of all disease types was Brazil. Outbreaks of disease were related to different climate variables. Most diseases from the publications under study occurred in equatorial and tropical climates. The disease represented by the largest number of different types of climates was dengue. The technique used in this work allowed us to determine the status of knowledge of the main diseases associated with climate variability in South America. This methodology could be improved in the future by incorporating other bibliographic sources as well as other diseases related to climate variability.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CLIMATE VARIABILITY
dc.subject
PAPERS REVIEW
dc.subject
SOUTH AMERICA
dc.subject
SPATIAL DISTRIBUTION
dc.subject
VECTOR-BORNE DISEASES
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Analysis of the spatial distribution of scientific publications regarding vector-borne diseases related to climate variability in South America
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-09-27T14:57:06Z
dc.identifier.eissn
1877-5853
dc.journal.volume
26
dc.journal.pagination
35-93
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: López, María S.. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
dc.description.fil
Fil: Muller, Gabriela Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
dc.description.fil
Fil: Sione, Walter Fabian. Universidad Autónoma de Entre Ríos. Facultad de Ciencia y Tecnología. Centro Regional de Geomática; Argentina
dc.journal.title
Spatial and Spatio-temporal Epidemiology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S187758451730117X
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.sste.2018.04.003
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