http://scholars.ntou.edu.tw/handle/123456789/20376
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Anno, Sumiko | - |
dc.contributor.author | Hara, Takeshi | - |
dc.contributor.author | Kai, Hiroki | - |
dc.contributor.author | Lee, Ming-An | - |
dc.contributor.author | Chang, Yi | - |
dc.contributor.author | Oyoshi, Kei | - |
dc.contributor.author | Mizukami, Yousei | - |
dc.contributor.author | Tadono, Takeo | - |
dc.date.accessioned | 2022-02-17T03:53:14Z | - |
dc.date.available | 2022-02-17T03:53:14Z | - |
dc.date.issued | 2019-05 | - |
dc.identifier.issn | 1827-1987 | - |
dc.identifier.uri | http://scholars.ntou.edu.tw/handle/123456789/20376 | - |
dc.description.abstract | Early warning systems (EWS) have been proposed as a measure for controlling and preventing dengue fever outbreaks in countries where this infection is endemic. A vaccine is not available and has yet to reach the market due to the economic burden of development, introduction and safety concerns. Understanding how dengue spreads and identifying the risk factors will facilitate the development of a dengue EWS, for which a climate-based model is still needed. An analysis was conducted to examine emerging spatiotemporal hotspots of dengue fever at the township level in Taiwan, associated with climatic factors obtained from remotely sensed data in order to identify the risk factors. Machine-learning was applied to support the search for factors with a spatiotemporal correlation with dengue fever outbreaks. Three dengue fever hotspot categories were found in southwest Taiwan and shown to he spatiotemporally associated with five kinds of sea surface temperatures. Machine-learning, based on the deep AlexNet model trained by transfer learning, yielded an accuracy of 100% on an 8-fold cross-validation test dataset of longitude-time sea surface temperature images. | - |
dc.language.iso | en_US | - |
dc.publisher | UNIV NAPLES FEDERICO II | - |
dc.relation.ispartof | GEOSPATIAL HEALTH | - |
dc.subject | PRECIPITATION | - |
dc.subject | SYSTEM | - |
dc.title | Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning | - |
dc.type | journal article | - |
dc.identifier.doi | 10.4081/gh.2019.771 | - |
dc.identifier.isi | WOS:000496802000002 | - |
dc.identifier.url | <Go to ISI>://WOS:000496802000002 | - |
dc.relation.journalvolume | 14 | - |
dc.relation.journalissue | 2 | - |
dc.relation.pages | 183-194 | - |
item.openairetype | journal article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en_US | - |
crisitem.author.dept | College of Ocean Science and Resource | - |
crisitem.author.dept | Department of Environmental Biology and Fisheries Science | - |
crisitem.author.dept | National Taiwan Ocean University,NTOU | - |
crisitem.author.dept | Department of Transportation Science | - |
crisitem.author.dept | College of Maritime Science and Management | - |
crisitem.author.dept | General Education Center | - |
crisitem.author.dept | Liberal Education Division | - |
crisitem.author.dept | Center of Excellence for Ocean Engineering | - |
crisitem.author.dept | River and Coastal Disaster Prevention | - |
crisitem.author.dept | Ecology and Environment Construction | - |
crisitem.author.orcid | 0000-0001-6970-7643 | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | College of Ocean Science and Resource | - |
crisitem.author.parentorg | College of Maritime Science and Management | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | General Education Center | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | Center of Excellence for Ocean Engineering | - |
crisitem.author.parentorg | Center of Excellence for Ocean Engineering | - |
顯示於: | 03 GOOD HEALTH AND WELL-BEING 13 CLIMATE ACTION 環境生物與漁業科學學系 |
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