TY  - JOUR
PY  - 2021//
TI  - Spatial pattern of the population casualty rate caused by super typhoon Lekima and quantification of the interactive effects of potential impact factors
JO  - BMC public health
A1  - Zhang, Xiangxue
A1  - Nie, Juan
A1  - Cheng, Changxiu
A1  - Xu, Chengdong
A1  - Xu, XiaoJun
A1  - Yan, Bin
SP  - 1260
EP  - 1260
VL  - 21
IS  - 1
N2  - BACKGROUND: Typhoons greatly threaten human life and property, especially in China. Therefore, it is important to make effective policy decisions to minimize losses associated with typhoons. <br><br>METHODS: In this study, the GeoDetector method was used to quantify the determinant powers of natural and socioeconomic factors, and their interactions, on the population casualty rate of super typhoon Lekima. The local indicator of spatial association (LISA) method was followed to explore the spatial pattern of the population casualty rate under the influence of the identified dominant factors. <br><br>RESULTS: Both natural and socioeconomic factors were found to have significantly impacted the population casualty rate due to super typhoon Lekima. Among the selected factors, maximum precipitation was dominant factor (q = 0.56), followed by maximum wind speed (q = 0.45). In addition, number of health technicians (q = 0.35) and number of health beds (q = 0.27) have a strong influence on the population casualty rate. Among the interactive effects of 12 influencing factors, the combined effects of maximum precipitation and ratio of brick-wood houses, the maximum precipitation and ratio of steel-concrete houses, maximum precipitation and number of health technicians were highest (q = 0.72). Furthermore, high-risk areas with very high casualty rates were concentrated in the southeastern part of Zhejiang and northern Shandong Provinces, while lower-risk areas were mainly distributed in northern Liaoning and eastern Jiangsu provinces. <br><br>CONCLUSIONS: These results contribute to the development of more specific policies aimed at safety and successful property protection according to the regional differences during typhoons.<p />  <p>Language: en</p>
LA  - en
SN  - 1471-2458
UR  - http://dx.doi.org/10.1186/s12889-021-11281-y
ID  - ref1
ER  -