Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts
dc.contributor.author | Wilson, Mark L. | en_US |
dc.date.accessioned | 2006-09-08T20:14:29Z | |
dc.date.available | 2006-09-08T20:14:29Z | |
dc.date.issued | 2002-03 | en_US |
dc.identifier.citation | Wilson, Mark L.; (2002). "Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts." Journal of Geographical Systems 4(1): 31-42. <http://hdl.handle.net/2027.42/42346> | en_US |
dc.identifier.issn | 1435-5930 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/42346 | |
dc.description.abstract | Many infectious diseases that are emerging or transmitted by arthropod vectors have a strong link to landscape features. Depending on the source of infection or ecology of the transmitting vector, micro-habitat characteristics at the spatial scale of square meters or less may be important. Recently, satellite images have been used to classify habitats in an attempt to understand associations with infectious diseases. Whether high spatial resolution and hyperspectral (HSRH) images can be useful in studies of such infectious diseases is addressed. The nature of questions that such studies address and the desired accuracy and precision of answers will determine the utility of HSRH data. Need for such data should be based on the goals of the effort. Examples of kinds of questions and applications are discussed. The research implications and public health applications may depend on available analytic tools as well as epidemiological observations. | en_US |
dc.format.extent | 181459 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag; Springer-Verlag Berlin Heidelberg | en_US |
dc.subject.other | JEL Classification: I1, I18 | en_US |
dc.subject.other | Legacy | en_US |
dc.subject.other | Key Words: Epidemiology, Infectious Diseases, Remote Sensing, GIS, Environment | en_US |
dc.title | Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Philosophy | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Geography and Maps | en_US |
dc.subject.hlbsecondlevel | Civil and Environmental Engineering | en_US |
dc.subject.hlbsecondlevel | Atmospheric, Oceanic and Space Sciences | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Departments of Epidemiology and of Ecology and Evolutionary Biology, The University of Michigan, Ann Arbor, MI 48104-2029, USA (e-mail: wilsonml@umich.edu), US | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/42346/1/10109-4-1-31_20040031.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/s101090100072 | en_US |
dc.identifier.source | Journal of Geographical Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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