Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/350687
Title: Social Media Mining for Psychological Surveillance and Flood Inundation Mapping in Disaster Scenarios Big Data Approach
Researcher: Dhivya K
Guide(s): Bagavandas M
Keywords: Clinical Medicine
Clinical Pre Clinical and Health
Medical Laboratory Technology
University: SRM University
Completed Date: 2021
Abstract: During natural disasters, the affected people are subjected to a host of psychological problems. Due to the unexpected nature of such disasters, people undergo trauma, experiencing adverse emotions, which is one of the risk factors for them developing mental health problems. Identifying the emotional states of the people in real time may help in planning the psychological and social support services at the time of disasters. During the occurrence of flash floods, water level, extent of inundation and its duration contribute to the severity of the event. Information on water levels in the flooded areas and levels of inundation are required immediately after floods. Using this information, disaster managers can identify the localities that need rapid attention and plan their response and rescue operations accordingly newline
Pagination: 
URI: http://hdl.handle.net/10603/350687
Appears in Departments:Department of Public Health

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certificate page.pdf499.15 kBAdobe PDFView/Open
chapter 1.pdf319.1 kBAdobe PDFView/Open
chapter 2.pdf412.56 kBAdobe PDFView/Open
chapter 3.pdf791.22 kBAdobe PDFView/Open
chapter 4.pdf1.47 MBAdobe PDFView/Open
chapter 5.pdf328.98 kBAdobe PDFView/Open
chapter 6.pdf309.64 kBAdobe PDFView/Open
list of publications.pdf308.21 kBAdobe PDFView/Open
preliminary page.pdf368.07 kBAdobe PDFView/Open
references.pdf370.51 kBAdobe PDFView/Open
title page.pdf97.17 kBAdobe PDFView/Open
vitae.pdf372.32 kBAdobe PDFView/Open
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