Applications of remote sensing to the identification of the habitats of parasites and disease vectors

Hugh‐Jones, Martin

doi:10.1016/0169-4758(89)90256-1

Cited by 84 publications

(15 citation statements)

References 23 publications

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“…The legend of the land cover maps was built using the The components from tasselled cap transformation were standard classification system of LCCS (Land Cover generated for the three images (1984,1992,2003). The image Classification System) [ 1]. The 17 classes found in the study difference of multi-temporal pairs were analysed and areas area belong to 4 hierarchical groups of either vegetated or showing variations larger than a user-defined threshold in non-vegetated areas, as presented in Table I. greeness, brightness or wetness components were defined as…”

Section: Methodsmentioning

confidence: 99%

Linking Changes in Landscape Composition and Configuration with Sandfly Occurrence in Southwest France

Martínez

Vanwambeke

Ready

2007

2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images

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In recent years, several vector-borne, parasitic or Provided that landscape elements critical to the parasite, zoonotic diseases have (re)-emerged and spread in Europe and vector or host survival are known and can be detected by elsewhere with major health, ecological, socio-economical and remote sensing, satellite imagery, through a wide range of political consequences. One of these diseases is leishmaniasis. In spectral, spatial and temporal resolutions, and geographical southwestern France, it is transmitted by two sandfly vectors information systems (GIS) provide efficient tools for locating (Phlebotomus ariasi and Phlebotomus perniciosus). The objective environments capable of maintaining vector populations [1, 2, of this research was to assess the effects of land cover and land cover change and fragmentation on the spatial distribution of 3, 4, 5]. Spatial aspects, particularly landscape and land-use Phlebotomus ariasi in southwestern France. Using GIS and patterns, play an important role in the transmission of vectorremote sensing techniques we analysed the relationships between borne and zoonotic diseases since they control both the spatial vectors and landscape-level environmental variables based on distribution of vectors or hosts and the likelihood of contact time series of fine resolution satellite data over the last two between infectious vector and susceptible host [6, 7]. decades. Environmental variables were extracted from Landsat If the distribution of a disease can be mapped (often by TM images and included both landscape composition and mapping the distribution of its vector or intermediate host) configuration. Changes in landscape composition and . rr * a *n*r*eti* configuration were analysed and a logistic regression was used to ctroleffrs in e ndemic situations a nd interventio test the association between sandfly presence/absence and these strategies in epidemic situations may be more efficiently variables. The study suggested that, although relevant changes directed [3]. The combination of different methods and tools, in landscape composition and structure were not found between especially high resolution remote sensing, GIS, and1984 and 2003, there is a significant association with some multivariate statistical analysis is promising for an integrated environmental variables describing sandfly habitat.approach of spatial issues in epidemiology.

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Section: Methodsmentioning

confidence: 99%

Linking Changes in Landscape Composition and Configuration with Sandfly Occurrence in Southwest France

Martínez

Vanwambeke

Ready

2007

2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images

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“…Two types of image were used to identify rice fields [14]. The Landsat Enhanced Thematic Mapper (ETM+) image was acquired on May 2000 and radar images (Envisat) were acquired in January and July 2004.…”

Section: Methodsmentioning

confidence: 99%

Seroprevalence of malaria in inhabitants of the urban zone of Antananarivo, Madagascar

Domarle

Razakandrainibe

Rakotomalala

et al. 2006

Malar J

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Background: Antananarivo, the capital of Madagascar, is located at an altitude of over 1,200 m. The environment at this altitude is not particularly favourable to malaria transmission, but malaria nonetheless remains a major public health problem. The aim of this study was to evaluate exposure to malaria in the urban population of Antananarivo, by measuring the specific seroprevalence of Plasmodium falciparum.

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“…To analyze some environmental variables related to disease incidence, geoprocessing is becoming very important for landscape epidemiology (Hugh‐Jones , Washino and Wood , Beck et al The transmission profile of leishmaniasis includes landscape elements and in Morocco, previous studies have suggested several environmental factors that may influence, directly or indirectly, the distribution of sand flies, including altitude (Guernaoui et al biotopes (Guernaoui and Boumezzough ), aspect (Boussaa et al climate (Rispail et al Bounoua et al and soil type (Boussaa and Boumezzough ).…”

Section: Introductionmentioning

confidence: 99%

Spatial relations among environmental factors and phlebotomine sand fly populations (Diptera: Psychodidae) in central and southern Morocco

Kahime

Boussaa

Mzabi³

et al. 2015

Journal of Vector Ecology

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Phlebotomine sand flies (Diptera: Psychodidae, Phlebotominae) are of considerable public health importance because of their ability to transmit several human parasites, mainly as vectors of Leishmania spp. Over the past decade, the epidemiological situation of cutaneous leishmaniasis (CL) has significantly increased with its geographic expansion to previously free areas and the emergence of overlapping foci of cutaneous leishmaniasis and visceral leishmaniasis (VL) in several provinces of Morocco. A total of 15,313 specimens was collected during this entomological survey. The genera Phlebotomus (57.38%) and Sergentomyia (42.62%) were identified. Sergentomyia minuta (22.01%) was the most prevalent species, followed by S. fallax (18.21%), Phlebotomus perniciosus (14.35%), P. papatasi (14.06%), P. sergenti (12.85%), P. longicuspis (10.74%), P. ariasi (2.68%), S. dreyfussi (1.53%), P. alexandri (1.31%), P. bergeroti (1.14%), S. christophersi (0.62%), S. africana (0.25%), P. chabaudi (0.14%), P. chadlii (0.05%), and P. kazeruni (0.04%). We aimed to determine current distribution of leishmaniases vectors, their ecological characteristics, and the significance of the predominant species at any bioclimate stage, altitude range, and soil texture in terms of the risk of leishmaniasis transmission. Journal of Vector Ecology 40 (2): 342-354. 2015.

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Applications of remote sensing to the identification of the habitats of parasites and disease vectors

Cited by 84 publications

References 23 publications

Linking Changes in Landscape Composition and Configuration with Sandfly Occurrence in Southwest France

Linking Changes in Landscape Composition and Configuration with Sandfly Occurrence in Southwest France

Seroprevalence of malaria in inhabitants of the urban zone of Antananarivo, Madagascar

Spatial relations among environmental factors and phlebotomine sand fly populations (Diptera: Psychodidae) in central and southern Morocco

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