regional risk analysis
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2020 ◽  
Vol 141 (3-4) ◽  
pp. 889-905 ◽  
Author(s):  
Ommolbanin Bazrafshan ◽  
Hossein Zamani ◽  
Marzieh Shekari ◽  
Vijay P. Singh

2018 ◽  
Vol 33 (2) ◽  
pp. 215-219 ◽  
Author(s):  
Junichi Sugawara ◽  
Noriyuki Iwama ◽  
Tetsuro Hoshiai ◽  
Hideki Tokunaga ◽  
Hidekazu Nishigori ◽  
...  

AbstractObjectivesThis study was aimed to analyze post-disaster birth outcomes in coastal and inland regions of Miyagi Prefecture, Japan.MethodsPrimary data sets were compiled from birth records of obstetric facilities and 12,808 patients were analyzed for baseline birth outcomes by region. Regional risk analysis of the low-birth-weight rate and premature birth rate were conducted using multi-level logistic regression analysis.ResultsFrom overall baseline birth outcomes, a preterm birth rate was 4.6% and low-birth-weight rate was 8.8%. Regional analysis revealed that a preterm birth rate was 3.2% (coastal) and 5.0% (inland), respectively, and the rate of low birth weight was 6.5% in the coastal and 8.5% in the inland region. In the risk analysis of low-birth-weight rate and preterm birth rate, the risk in the coastal region could not be considered any higher than in the inland region (adjusted odds ratio 0.91 [0.73-1.14] and 0.85 [0.46-1.59], respectively).ConclusionsThe incidence of preterm birth and low birth weight were not adversely affected by the disaster. Early transfer and intensive medical intervention may have led to those findings. Further survey will be necessary to determine the long-term effects in both mothers and children.SugawaraJ, IwamaN, HoshiaiT, TokunagaH, NishigoriH, MetokiH, OkamuraK, YaegashiN. Regional birth outcomes after the 2011 Great East Japan Earthquake and tsunami in Miyagi Prefecture. Prehosp Disaster Med. 2018;33(2):215–219.


2014 ◽  
Vol 955-959 ◽  
pp. 1864-1867
Author(s):  
Xuan Wu ◽  
Xue Hua Jia ◽  
Chun Ling Liu

The paper reviewed the types, causes and dangers of harbor environmental risks, and took the environmental risk assessment on a typical harbor as an example. The case study carried out regional risk analysis and ship traffic source analysis on location, environmentally sensitive resource distribution, cargo types and volume and regional traffic volume. Pollution on the coastline and the sea by oil and chemical were forecasted through computer numerical simulation combined with scenario analysis. According to the simulation, it is recommended that putting forward appropriate preventive measures in terms of emergency equipment, contingency plans and emergency measures.


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