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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Main 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, Hélène, Dessay, Nadine, Gong, Peng
Format: article biblioteca
Language:eng
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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spelling 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
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic 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
spellingShingle 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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