<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kanbara, Sakiko</style></author><author><style face="normal" font="default" size="100%">Pandey, Apsara</style></author><author><style face="normal" font="default" size="100%">Estuar, Maria Regina E.</style></author><author><style face="normal" font="default" size="100%">Lee, Hyeon Ju</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Chan, Emily Ying Yang</style></author><author><style face="normal" font="default" size="100%">Shaw, Rajib</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">EpiNurse, Health Monitoring by Local Nurses on Nepal Earth Quake 2015</style></title><secondary-title><style face="normal" font="default" size="100%">Public Health and Disasters: Health Emergency and Disaster Risk Management in Asia</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1007/978-981-15-0924-7_15</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer Singapore</style></publisher><pub-location><style face="normal" font="default" size="100%">Singapore</style></pub-location><pages><style face="normal" font="default" size="100%">229 - 244</style></pages><isbn><style face="normal" font="default" size="100%">978-981-15-0924-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The name, EpiNurse, refers to local nurses who perform epidemiological surveillance and care to ensure human security in and communicate with health authorities on the health status of communities. They collect and report epidemiological information by using easy-to-use technology in communities in which access to health information of the populace is hindered by catastrophic accidents or other geo-/socio-political reasons. EpiNurse Nepal Project (August 2015–April 2016) carried out epidemiological surveillances at 24 camps in 9 districts after the 2015 Nepal earthquake. By applying ICT and questionnaire, EpiNurse member nurses collected shelter-related data and information, such as location and timestamps, and geo-tagged photos. Identification of typical health behavior patterns and comparative information about differences between community and temporary shelters provided insights into the health security assessment. This initiative experiments how nurse should collect and deliver the health emergency information on their own local culture, lifestyle, and perceptions. The potential of EpiNurse concept lies not only in producing innovative research outcomes by improving or optimizing existing ICT application in health sector, but also in promoting research knowledge and exchange of ideas regarding social issues and challenges in the field of health emergency and community resilience. The most critical challenge in practice relates to collecting and storing data, which later would have been generated into reasonable health security index information to be used for predicting the likelihood of occurrence of health emergency events. It is necessary to apply human behavior modeling using geospatial technology in order to create data transferring modules for first responders and civilian populations regarding DRR and behaviors.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author><author><style face="normal" font="default" size="100%">Yan, Wanglin</style></author><author><style face="normal" font="default" size="100%">Zhao, Zhizhong</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Estimation of infuluence of grazing activities against vegetation with multi-temporal satellite images on Qinghai-Tibet plateau [in Japanese]</style></title><secondary-title><style face="normal" font="default" size="100%">Papers on environmental information science</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">grazing activities</style></keyword><keyword><style  face="normal" font="default" size="100%">MODIS</style></keyword><keyword><style  face="normal" font="default" size="100%">multi-temporal satellite images</style></keyword><keyword><style  face="normal" font="default" size="100%">Qinghai-Tibet Plateau</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ci.nii.ac.jp/naid/40016406716/en/</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">565–570</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In Qinghai-Tibet Plateau, west part of China, there are serious land degradations caused by overgrazing and climatic change, and mapping the influence is urgently needed. This study proposes method for estimation of influence by grazing activities on grassland with 16-day dataset derived from MODIS satellite imagery and meteorological observation dataset. The result of application on Maduo-Xian in Qnghai province shows estimated influence is correspond to actual condition recognized with field study, and degraded land, grazed land and conserved land are discriminated with the estimation. In addition, the period of grazing at grazing land for summer or winter is estimated with time series profile of the estimation. The method is expected to be developed for observation on conditions of grazing land.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Yan, Wanglin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Estimation of the grazing pressure with geographical heterogeneity in pasture of plateau region: a case study in Maduo Xian, Qinghai Province [in Japanese]</style></title><secondary-title><style face="normal" font="default" size="100%">Papers on environmental information science</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">geographical heterogeneity</style></keyword><keyword><style  face="normal" font="default" size="100%">grazing pressure</style></keyword><keyword><style  face="normal" font="default" size="100%">MODIS</style></keyword><keyword><style  face="normal" font="default" size="100%">Qinghai-Tibet Plateau</style></keyword><keyword><style  face="normal" font="default" size="100%">remote sensing</style></keyword><keyword><style  face="normal" font="default" size="100%">SRTM</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2006</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ci.nii.ac.jp/naid/40015321174/en/</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">367–372</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">There are serious land degradations caused by overgrazing in Qinghai-Tibet Plateau. Regional planning to preserve the plateau ecosystem is urgently needed. This study estimates grazing pressure considering the geographical heterogeneity of pasture productivity and grazing intensity using MODIS images and SRTM DEM. A case study in Maduo Xian, Qinghai Province shows the accessible lands are limited. At the accessible land, grazing activities are notably intense and grazing pressure is high. Additionally, this study shows that the extent of overgrazing is huge in comparison with accessible lands although the actual area is small. This knowledge will assist to make plans for the land conservation.</style></abstract></record></records></xml>