Remote Sensing, Vol. 12, Pages 932: A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires

Remote Sensing, Vol. 12, Pages 932: A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires

Remote Sensing doi: 10.3390/rs12060932

Authors:
Renaud Marti
Zhichao Li
Thibault Catry
Emmanuel Roux
Morgan Mangeas
Pascal Handschumacher
Jean Gaudart
Annelise Tran
Laurent Demagistri
Jean-François Faure
José Joaquín Carvajal Cortes
Bruna Drumond Silveira
Lei Xu
Vincent Herbreteau
Helen Gurgel
Nadine Dessay
Peng Gong

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.

This information was first published on https://www.mdpi.com/2072-4292/12/6/932