Zhichao Li, Catry Thibault, Dessay Nadine, Da Costa Gurgel H., Aparecido de Almeida C., Barcellos C., Roux Emmanuel. (2017). Regionalization of a landscape-based hazard index of malaria transmission : an example of the state of Amapá, Brazil. Data, 2 (4), art. no 37 [11 p. en ligne]. ISSN 2306-5729.
Titre du document
Regionalization of a landscape-based hazard index of malaria transmission : an example of the state of Amapá, Brazil
Année de publication
2017
Auteurs
Zhichao Li, Catry Thibault, Dessay Nadine, Da Costa Gurgel H., Aparecido de Almeida C., Barcellos C., Roux Emmanuel
Source
Data, 2017,
2 (4), art. no 37 [11 p. en ligne] ISSN 2306-5729
Identifying and assessing the relative effects of the numerous determinants of malaria transmission, at different spatial scales and resolutions, is of primary importance in defining control strategies and reaching the goal of the elimination of malaria. In this context, based on a knowledge-based model, a normalized landscape-based hazard index (NLHI) was established at a local scale, using a 10 m spatial resolution forest vs. non-forest map, landscape metrics and a spatial moving window. Such an index evaluates the contribution of landscape to the probability of human-malaria vector encounters, and thus to malaria transmission risk. Since the knowledge-based model is tailored to the entire Amazon region, such an index might be generalized at large scales for establishing a regional view of the landscape contribution to malaria transmission. Thus, this study uses an open large-scale land use and land cover dataset (i.e., the 30 m TerraClass maps) and proposes an automatic data-processing chain for implementing NLHI at large-scale. First, the impact of coarser spatial resolution (i.e., 30 m) on NLHI values was studied. Second, the data-processing chain was established using R language for customizing the spatial moving window and computing the landscape metrics and NLHI at large scale. This paper presents the results in the State of Amapá, Brazil. It offers the possibility of monitoring a significant determinant of malaria transmission at regional scale.
Plan de classement
Epidémiologie du paludisme [052ANOPAL03]
;
Traitement et analyse d'image [122TRAI]
Descripteurs
PALUDISME ; TRANSMISSION ; ANALYSE SPATIALE ; GESTION DE L'ENVIRONNEMENT ; DEFORESTATION ; CARTOGRAPHIE AUTOMATIQUE
Description Géographique
BRESIL ; GUYANE FRANCAISE ; AMAZONIE ; AMAPA
Localisation
Fonds IRD [F B010071100]
Identifiant IRD
fdi:010071100
