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dc.contributor.authorMarti, Renaud-
dc.contributor.authorLi, Zhichao-
dc.contributor.authorCatry, Thibault-
dc.contributor.authorRoux, Emmanuel-
dc.contributor.authorMangeas, Morgan-
dc.contributor.authorHandschumacher, Pascal-
dc.contributor.authorGaudart, Jean-
dc.contributor.authorTran, Annelise-
dc.contributor.authorDemagistri, Laurent-
dc.contributor.authorFaure, Jean-François-
dc.contributor.authorCarvajal, José Joaquín-
dc.contributor.authorDrumond, Bruna-
dc.contributor.authorXu, Lei-
dc.contributor.authorHerbreteau, Vincent-
dc.contributor.authorGurgel, Helen da Costa-
dc.contributor.authorDessay, Nadine-
dc.contributor.authorGong, Peng-
dc.date.accessioned2022-01-17T15:56:31Z-
dc.date.available2022-01-17T15:56:31Z-
dc.date.issued2020-
dc.identifier.citationA Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires. Remote Sensing, v. 12, n. 6, 932, 2020. DOI: https://doi.org/10.3390/rs12060932. Disponível em: https://www.mdpi.com/2072-4292/12/6/932. Acesso em: 17 jan. 2022.pt_BR
dc.identifier.urihttps://repositorio.unb.br/handle/10482/42751-
dc.language.isoInglêspt_BR
dc.publisherMDPIpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleA mapping review on urban landscape factors of Dengue retrieved from earth observation data, GIS techniques, and survey questionnairespt_BR
dc.typeArtigopt_BR
dc.subject.keywordDenguept_BR
dc.subject.keywordPaisagem urbanapt_BR
dc.subject.keywordMeio ambientept_BR
dc.subject.keywordSensoriamento remotopt_BR
dc.rights.license(CC BY) c 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).pt_BR
dc.identifier.doihttps://doi.org/10.3390/rs12060932pt_BR
dc.description.abstract1To date, there is no effective treatment to cure dengue fever, a mosquito-borne disease which has a major impact on human populations in tropical and sub-tropical regions. Although the characteristics of dengue infection are well known, factors associated with landscape are highly scale dependent in time and space, and therefore difficult to monitor. We propose here a mapping review based on 78 articles that study the relationships between landscape factors and urban dengue cases considering household, neighborhood and administrative levels. Landscape factors were retrieved from survey questionnaires, Geographic Information Systems (GIS), and remote sensing (RS) techniques. We structured these into groups composed of land cover, land use, and housing type and characteristics, as well as subgroups referring to construction material, urban typology, and infrastructure level. We mapped the co-occurrence networks associated with these factors, and analyzed their relevance according to a three-valued interpretation (positive, negative, non significant). From a methodological perspective, coupling RS and GIS techniques with field surveys including entomological observations should be systematically considered, as none digital land use or land cover variables appears to be an univocal determinant of dengue occurrences. Remote sensing urban mapping is however of interest to provide a geographical frame to distribute human population and movement in relation to their activities in the city, and as spatialized input variables for epidemiological and entomological models.pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-8382-7008pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-8379-6889pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0003-4146-3784pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0001-9006-5729pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0001-5463-332Xpt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0003-1910-200Xpt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-4162-6654pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0003-2566-2118pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0003-1762-6336pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-4162-6654pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0003-1513-3765pt_BR
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