Ecological epidemiology: the role of landscape structure in the transmission risk of the fox tapeworm Echinococcus multilocularis (Leukart 1863) (Cestoda: Cyclophyllidea: Taeniidae)

Graham, Andrew; Danson, F. Mark; Craig, Philip S.

doi:10.1191/0309133305pp435ra

Cited by 14 publications

(11 citation statements)

References 68 publications

(48 reference statements)

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“…Alternatively, in an epidemiological sense, these features might be mosquito ponds in a larger marsh or wet soil area; their abundance and distribution might help characterize risk for a neighboring village. It is this kind of contextual information about objects that proved so useful for Liu and Weng [102] and Graham and colleagues [103,104] in their examination of pattern and disease.…”

Section: Discussionmentioning

confidence: 99%

“…It is important to concede that these kinds of relationships can be built after-the-fact within a geographic information system (GIS) from any classification result [102][103][104], but they are more easily done as part of the classification process with OBIA. Indeed, such landscape analyses of pixel-based products are flawed, due to the speckle inherent in the results.…”

Section: Discussionmentioning

confidence: 99%

“…They found that the landscape factors, such as a landscape aggregation index and urban areas and areas of grass and water, showed strong correlations with the prevalence of West Nile Virus. Other examples come from Graham and colleagues [103,104] who have been examining the role of landscape pattern in transmission of the fox tapeworm Echinococcus multilocularis which causes a rare but fatal liver infection in humans. They showed that landscape metrics, derived from Landsat MSS and Landsat TM imagery were related to the prevalence of tapeworm infection for 31 villages in Zhang County, China.…”

Section: Review Of the Use Of Discrete Products In Public Health Resementioning

confidence: 99%

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Terrestrial Remotely Sensed Imagery in Support of Public Health: New Avenues of Research Using Object-Based Image Analysis

et al. 2011

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Abstract:The benefits of terrestrial remote sensing in the environmental sciences are clear across a range of applications, and increasingly remote sensing analyses are being integrated into public health research. This integration has largely been in two areas: first, through the inclusion of continuous remote sensing products such as normalized difference vegetation index (NDVI) or moisture indices to answer large-area questions associated with the epidemiology of vector-borne diseases or other health exposures; and second, through image classification to map discrete landscape patches that provide habitat to disease-vectors or that promote poor health. In this second arena, new improvements in object-based image analysis (or "OBIA") can provide advantages for public health research. Rather than classifying each pixel based on its spectral content alone, the OBIA approach first segments an image into objects, or segments, based on spatially connected pixels with similar spectral properties, and then these objects are classified based on their spectral, spatial and contextual attributes as well as by their interrelations across scales. The approach can lead to increases in classification accuracy, and it can also develop multi-scale topologies between objects that can be utilized to help understand human-disease-health systems. This paper provides a brief review of what has been done in the public health literature with continuous and discrete mapping, and then highlights the key concepts in OBIA that could be more of use to public health researchers interested in integrating remote sensing into their work.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Review Of the Use Of Discrete Products In Public Health Resementioning

confidence: 99%

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Terrestrial Remotely Sensed Imagery in Support of Public Health: New Avenues of Research Using Object-Based Image Analysis

et al. 2011

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“…Semantic queries in image aspects require integrated visual as well as linguistic analysis that can be accomplished through effective visual translation. Specific approaches are found over the literature where as a generalized integrated attempt is less explored (Graham et al 2005;Bhaskaran et al 2010;Dambach et al 2011).…”

Section: P V Arun Spatial Analysis In Public Health Domain: An Nlpmentioning

confidence: 99%

“…well as the required parameter should be considered for selecting effective strategy (Liu, Weng 2009;Graham et al 2005).…”

Section: P V Arun Spatial Analysis In Public Health Domain: An Nlpmentioning

confidence: 99%

Spatial Analysis in Public Health Domain: An NLP Approach

Arun

2013

Geodesy and Cartography

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Remote sensing products are effectively used as a tool for decision making in various fields, especially in medical research and health care analyses. GIS is particularly well suited in this context because of its spatial analysis and display capabilities. The integration of RS techniques in public health has been categorised as continuous and discrete strategies where latter is preferred. We have investigated the integration of these approaches through linguistic interpretation of images. In this paper, we propose a framework for direct natural language interpretation of satellite images using probabilistic grammar rules in conjunction with evolutionary computing techniques. Spectral and spatial information has been dynamically combined using adaptive kernel strategy for effective representation of the contextual knowledge. The developed methodology has been evaluated in different querying contexts and investigations revealed that considerable success has been achieved with the procedure. The methodology has also demonstrated to be effective in intelligent interpolation, automatic interpretation as well as attribute, topology, proximity, and semantic analyses.

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The effects of landscape patterns on ecosystem services: meta-analyses of landscape services

et al. 2018

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Purpose The recently introduced concept of 'landscape services'-ecosystem services influenced by landscape patterns-may be particularly useful in landscape planning by potentially increasing stakeholder participation and financial funding. However, integrating this concept remains challenging. In order to bypass this barrier, we must gain a greater understanding of how landscape composition and configuration influence the services provided.

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Ecological epidemiology: the role of landscape structure in the transmission risk of the fox tapeworm Echinococcus multilocularis (Leukart 1863) (Cestoda: Cyclophyllidea: Taeniidae)

Cited by 14 publications

References 68 publications

Terrestrial Remotely Sensed Imagery in Support of Public Health: New Avenues of Research Using Object-Based Image Analysis

Terrestrial Remotely Sensed Imagery in Support of Public Health: New Avenues of Research Using Object-Based Image Analysis

Spatial Analysis in Public Health Domain: An NLP Approach

The effects of landscape patterns on ecosystem services: meta-analyses of landscape services

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