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Title: A mapping review on urban landscape factors of Dengue retrieved from earth observation data, GIS techniques, and survey questionnaires
Authors: Marti, Renaud
Li, Zhichao
Catry, Thibault
Roux, Emmanuel
Mangeas, Morgan
Handschumacher, Pascal
Gaudart, Jean
Tran, Annelise
Demagistri, Laurent
Faure, Jean-François
Carvajal, José Joaquín
Drumond, Bruna
Xu, Lei
Herbreteau, Vincent
Gurgel, Helen da Costa
Dessay, Nadine
Gong, Peng
metadata.dc.identifier.orcid: https://orcid.org/ 0000-0002-8382-7008
https://orcid.org/ 0000-0002-8379-6889
https://orcid.org/ 0000-0003-4146-3784
https://orcid.org/ 0000-0001-9006-5729
https://orcid.org/ 0000-0001-5463-332X
https://orcid.org/ 0000-0003-1910-200X
https://orcid.org/ 0000-0002-4162-6654
https://orcid.org/ 0000-0003-2566-2118
https://orcid.org/ 0000-0003-1762-6336
https://orcid.org/ 0000-0002-4162-6654
https://orcid.org/ 0000-0003-1513-3765
Assunto:: Dengue
Paisagem urbana
Meio ambiente
Sensoriamento remoto
Issue Date: 2020
Publisher: MDPI
Citation: A 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.
Abstract: To 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.
Licença:: (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/).
DOI: https://doi.org/10.3390/rs12060932
Appears in Collections:GEA - Artigos publicados em periódicos

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