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Spatio-temporal modeling with GIS an...

Xu, Bing.

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Spatio-temporal modeling with GIS and remote sensing for schistosomiasis control in Sichuan, China.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spatio-temporal modeling with GIS and remote sensing for schistosomiasis control in Sichuan, China./
作者:	Xu, Bing.
面頁冊數:	117 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0637.
Contained By:	Dissertation Abstracts International65-02B.
標題:	Environmental Sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121763
ISBN:	9780496691142

Spatio-temporal modeling with GIS and remote sensing for schistosomiasis control in Sichuan, China.
Xu, Bing.

Spatio-temporal modeling with GIS and remote sensing for schistosomiasis control in Sichuan, China. - 117 p.

Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0637.

Thesis (Ph.D.)--University of California, Berkeley, 2003.

Schistosomiasis is a water-borne parasitic disease endemic in tropical and subtropical areas. Its transmission requires certain kind of snail as the intermediate host. Some efforts have been made to mapping snail habitats with remote sensing and schistosomiasis transmission modeling. However, the modeling is limited to isolated residential groups and does not include spatial interaction among those groups. Remotely sensed data are only used in snail habitat classification, not in estimation of snail abundance that is an important parameter in schistosomiasis transmission modeling.

ISBN: 9780496691142Subjects--Topical Terms:

676987
Environmental Sciences.

Spatio-temporal modeling with GIS and remote sensing for schistosomiasis control in Sichuan, China.
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245 1 0 $a Spatio-temporal modeling with GIS and remote sensing for schistosomiasis control in Sichuan, China.
300 $a 117 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0637.
500 $a Chair: Peng Gong.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2003.
520 $a Schistosomiasis is a water-borne parasitic disease endemic in tropical and subtropical areas. Its transmission requires certain kind of snail as the intermediate host. Some efforts have been made to mapping snail habitats with remote sensing and schistosomiasis transmission modeling. However, the modeling is limited to isolated residential groups and does not include spatial interaction among those groups. Remotely sensed data are only used in snail habitat classification, not in estimation of snail abundance that is an important parameter in schistosomiasis transmission modeling.
520 $a This research overcomes the above two problems using innovative geographic information system (GIS) and remote sensing technology. A mountainous environment near Xichang, China, is chosen as the test site. Environmental and epidemiological data are stored in a GIS to support modeling.{09}Snail abundance is estimated from land-cover and land-use fractions derived from high spatial resolution IKONOS satellite data. Spatial interaction is determined in consideration of neighborhoods, group areas, relative slopes among groups, and natural barriers.
520 $a Land-cover and land-use information extracted from 4 m high resolution IKONOS data is used as reference in scaling up to the regional level. The scale-up is done with coarser resolution satellite data including Landsat Thematic Mapper (TM), EO-1 Advanced Land Imager (ALI) and Hyperion data all at 30 m resolution.
520 $a Snail abundance is estimated by regressing snail survey data with land-cover and land-use fractions. An R2 of 0.87 is obtained between the average snail density predicted and that surveyed at the group level. With such a model, a snail density map is generated for all residential groups in the study area.
520 $a A spatio-temporal model of schistosomiasis transmission is finally built to incorporate the spatial interaction caused by miracidia and cercaria migration. Comparing the model results with and without spatial interaction has revealed a number of advantages of the spatio-temporal model. Particularly, with the inclusion of spatial interaction, more effective control of schistosomiasis transmission over the whole study area can be achieved.
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650 4 $a Health Sciences, Public Health. $3 1017659
650 4 $a Geotechnology. $3 1018558
650 4 $a Remote Sensing. $3 1018559
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710 2 0 $a University of California, Berkeley. $3 687832
773 0 $t Dissertation Abstracts International $g 65-02B.
790 1 0 $a Gong, Peng, $e advisor
790 $a 0028
791 $a Ph.D.
792 $a 2003
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