Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
The western Japan rainstorm disaster on July 6, 2018, was one of the most serious natural catastrophes in Japan, excluding earthquake events. Its main characteristics were severe and widespread flooding and landslides which cut off many areas, interrupting both traffic and telecommunication, and loss of clean water supply. We explored the utility of unmanned aerial vehicles to collect precise information on traffic disruption and damage to hospitals for patient rescue and for efficient allocation of resources. This visualized information was beneficial for determining rescue strategies. Lessons from this disaster and novel technologies could contribute to minimizing damage in future disasters.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6296104 | PMC |
http://dx.doi.org/10.1186/s40560-018-0354-0 | DOI Listing |
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