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Titlebook: Lessons Learned from the Great East Japan Earthquake; Birth Outcomes in a Honami Yoshida Book 2021 The Author(s), under exclusive license

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發(fā)表于 2025-3-21 16:23:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Lessons Learned from the Great East Japan Earthquake
副標(biāo)題Birth Outcomes in a
編輯Honami Yoshida
視頻videohttp://file.papertrans.cn/586/585231/585231.mp4
概述Highlights the importance of maternal health care preparedness in disaster response based on evidence from Japan, a highly aged society and a country with high seismic activity.Reveals, on the basis o
叢書(shū)名稱SpringerBriefs in Population Studies
圖書(shū)封面Titlebook: Lessons Learned from the Great East Japan Earthquake; Birth Outcomes in a  Honami Yoshida Book 2021 The Author(s), under exclusive license
描述This book provides insights into the enormous impact of fetal and newborn loss in the aftermath of the natural disasters that Japanese society constantly has to face. It first reveals effect of the Great East Japan Earthquake in 2011 on the next generation and reproductive attitudes and shows that prenatal care strategies for emergencies had not been established by any local government in Japan. With continuing research on birth outcomes in the area surrounding the catastrophe, the authors emphasize the importance of the pre-hospital obstetric care team in disaster response and highlight the inequality in health care in a highly aging society like Japan, where perinatal health care is given lower priority than elderly care..Following the creation of a specialized project for pre and postnatal care the authors conducted surveys on how community preparedness in maternal and child health for post-disaster areas impacted population changes..This book is a valuable resource for researchers who are interested in the association between rapid population decline and the disaster management system for maternal and child health, as well as the effect of culture, gender bias, and family tradi
出版日期Book 2021
關(guān)鍵詞Aged Society; Health Care; Low Fertility; Earthquakes; Japanese Family
版次1
doihttps://doi.org/10.1007/978-981-10-4391-8
isbn_softcover978-981-10-4390-1
isbn_ebook978-981-10-4391-8Series ISSN 2211-3215 Series E-ISSN 2211-3223
issn_series 2211-3215
copyrightThe Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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Importance of Cross-Organizational Collaboration for Disaster Preparedness for Maternal and Child Hsues that must be considered in improving the environment and safety of pregnant and nursing women and children. This experience will be useful especially for training voluntary disaster relief organizations that play a central role in operating evacuation shelters.
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Personal Health Record (PHR) System for Maternal and Child Health Care in Disaster, in complex ways, their businesses, institutions, and administrative tasks are neither cooperative nor well integrated. For this reason, the merits of users carrying their own data are being discussed, and it has become a pressing need to create a tool for data sharing and communication for stakehol
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發(fā)表于 2025-3-22 10:17:23 | 只看該作者
Book 2021r post-disaster areas impacted population changes..This book is a valuable resource for researchers who are interested in the association between rapid population decline and the disaster management system for maternal and child health, as well as the effect of culture, gender bias, and family tradi
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Lessons Learned from the Great East Japan EarthquakeBirth Outcomes in a
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radiation sensors. Our goal is to realize a practical and inexpensive sensor network system with typical system on chip (SoC). Therefore, we employ a reasonable price SoC supporting IEEE 802.15.4 standard to design a unique device with various sensors. In order to realize multi-hop communication wit
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發(fā)表于 2025-3-23 08:03:39 | 只看該作者
Honami Yoshida M.D., Ph.D., M.P.H.aw’s 2D convolution kernels are applied for fast estimation of texture energy contrast and texture gradient contrast in particular. The experiments show the acceptable spatial saliency maps in order to obtain good background motion model of non-stationary video sequence.
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