A mapping review on urban landscape factors of dengue retrieved from earth observation data, GIS techniques, and survey questionnaires
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.
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Subjects: | U30 - Méthodes de recherche, maladie transmise par vecteur, télédétection, système d'information géographique, cartographie, zone urbaine, environnement urbain, http://aims.fao.org/aos/agrovoc/c_34142, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_35131, http://aims.fao.org/aos/agrovoc/c_1344, http://aims.fao.org/aos/agrovoc/c_8085, http://aims.fao.org/aos/agrovoc/c_29062, |
Online Access: | http://agritrop.cirad.fr/595351/ http://agritrop.cirad.fr/595351/1/2020_Marti_ReviewDengue_UrbanLandscapeFactors.pdf |
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dig-cirad-fr-5953512024-01-29T02:41:06Z http://agritrop.cirad.fr/595351/ http://agritrop.cirad.fr/595351/ A mapping review on urban landscape factors of dengue retrieved from earth observation data, GIS techniques, and survey questionnaires. 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 Hélène, Dessay Nadine, Gong Peng. 2020. Remote Sensing, 12 (6), n.spéc. Remote Sensing for Health: from Fine-Scale Investigations towards Early-Warning Systems:932, 82 p.https://doi.org/10.3390/rs12060932 <https://doi.org/10.3390/rs12060932> A mapping review on urban landscape factors of dengue retrieved from earth observation data, GIS techniques, and survey questionnaires 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, Hélène Dessay, Nadine Gong, Peng eng 2020 Remote Sensing U30 - Méthodes de recherche maladie transmise par vecteur télédétection système d'information géographique cartographie zone urbaine environnement urbain http://aims.fao.org/aos/agrovoc/c_34142 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_8085 http://aims.fao.org/aos/agrovoc/c_29062 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. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/595351/1/2020_Marti_ReviewDengue_UrbanLandscapeFactors.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.3390/rs12060932 10.3390/rs12060932 info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12060932 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.3390/rs12060932 |
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U30 - Méthodes de recherche maladie transmise par vecteur télédétection système d'information géographique cartographie zone urbaine environnement urbain http://aims.fao.org/aos/agrovoc/c_34142 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_8085 http://aims.fao.org/aos/agrovoc/c_29062 U30 - Méthodes de recherche maladie transmise par vecteur télédétection système d'information géographique cartographie zone urbaine environnement urbain http://aims.fao.org/aos/agrovoc/c_34142 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_8085 http://aims.fao.org/aos/agrovoc/c_29062 |
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U30 - Méthodes de recherche maladie transmise par vecteur télédétection système d'information géographique cartographie zone urbaine environnement urbain http://aims.fao.org/aos/agrovoc/c_34142 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_8085 http://aims.fao.org/aos/agrovoc/c_29062 U30 - Méthodes de recherche maladie transmise par vecteur télédétection système d'information géographique cartographie zone urbaine environnement urbain http://aims.fao.org/aos/agrovoc/c_34142 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_8085 http://aims.fao.org/aos/agrovoc/c_29062 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, Hélène Dessay, Nadine Gong, Peng A mapping review on urban landscape factors of dengue retrieved from earth observation data, GIS techniques, and survey questionnaires |
description |
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. |
format |
article |
topic_facet |
U30 - Méthodes de recherche maladie transmise par vecteur télédétection système d'information géographique cartographie zone urbaine environnement urbain http://aims.fao.org/aos/agrovoc/c_34142 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_8085 http://aims.fao.org/aos/agrovoc/c_29062 |
author |
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, Hélène Dessay, Nadine Gong, Peng |
author_facet |
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, Hélène Dessay, Nadine Gong, Peng |
author_sort |
Marti, Renaud |
title |
A mapping review on urban landscape factors of dengue retrieved from earth observation data, GIS techniques, and survey questionnaires |
title_short |
A mapping review on urban landscape factors of dengue retrieved from earth observation data, GIS techniques, and survey questionnaires |
title_full |
A mapping review on urban landscape factors of dengue retrieved from earth observation data, GIS techniques, and survey questionnaires |
title_fullStr |
A mapping review on urban landscape factors of dengue retrieved from earth observation data, GIS techniques, and survey questionnaires |
title_full_unstemmed |
A mapping review on urban landscape factors of dengue retrieved from earth observation data, GIS techniques, and survey questionnaires |
title_sort |
mapping review on urban landscape factors of dengue retrieved from earth observation data, gis techniques, and survey questionnaires |
url |
http://agritrop.cirad.fr/595351/ http://agritrop.cirad.fr/595351/1/2020_Marti_ReviewDengue_UrbanLandscapeFactors.pdf |
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