ORIGINAL RESEARCH
Relationship between Natural Environment and Orthopedic Diseases based on Remote Sensing in Zhejiang Province, China
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Tangao Hu 1,2
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1
Institute of Remote Sensing and Earth Sciences, College of Science, Hangzhou Normal University, Hangzhou 311121, China
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Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, 311121, Hangzhou, China
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School of Public Health, Hangzhou Medical College, Hangzhou, 310053, China
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Department of Orthopedic Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
CORRESPONDING AUTHOR
Wenyuan Wu   

Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, China
Submission date: 2021-12-06
Final revision date: 2022-04-15
Acceptance date: 2022-04-23
Online publication date: 2022-07-13
Publication date: 2022-09-01
 
Pol. J. Environ. Stud. 2022;31(5):4355–4370
 
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ABSTRACT
The purpose of this study is to investigate the relationship between the natural environment and orthopedic diseases based on remote sensing in Zhejiang Province, China. The Landsat 8 OLI images were employed to extract environmental factors such as the vegetation, water, and urban indices. Combined with the distribution data of patients of different ages diagnosed with different types of orthopedic diseases, derived from the Second Affiliated Hospital, Zhejiang University School of Medicine, we analyzed the spatial distribution relationship and evaluated the natural environmental factors around the distribution sites of the patients. The results showed that the vegetation index (NDVI) is negatively correlated with the prevalence of hospital visits, whereas the water index (MNDWI) is positively correlated. And urban index (IBI) is positively correlated but unstable. The analysis and evaluation of the impact of natural environmental factors related to the patient on orthopedic diseases show that the risk of orthopedic disease might be associated with less vegetation and
eISSN:2083-5906
ISSN:1230-1485