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作者

Jiaqi Ding;Chao Yang;Yueyao Wang;Pengfei Li;Fulin Wang;Yuhao Kang;Haoyang Wang;Ze Liang;Jiawei Zhang;Peien Han;Zheng Wang;Erxuan Chu;Shuangcheng Li;Luxia Zhang

来源

CITIES,Vol.133,Issue1,Article 103975

语言

英文

关键字

Human mobility;Patient mobility;Public health;Health geography;Complex networks;Community roles

作者单位

College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China;Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China;Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, China;Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China;Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China;National Institute of Health Data Science at Peking University, Beijing 100191, China;Peking University First Hospital, Beijing 100034, China;GeoDS Lab, Department of Geography, University of Wisconsin-Madison, Madison, WI 53705, United States;School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052, Australia;Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China;Faculty of Geographical Science, School of Geography, Beijing Normal University, Beijing 100875, China;College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China;Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China;Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, China;Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China;Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China;National Institute of Health Data Science at Peking University, Beijing 100191, China;Peking University First Hospital, Beijing 100034, China;GeoDS Lab, Department of Geography, University of Wisconsin-Madison, Madison, WI 53705, United States;School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052, Australia;Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China;Faculty of Geographical Science, School of Geography, Beijing Normal University, Beijing 100875, China

摘要

Intercity patient mobility reflects the geographic mismatch between healthcare resources and the population, and has rarely been studied with big data at large spatial scales. In this paper, we investigated the patterns of intercity patient mobility and factors influencing this behavior based on >4 million hospitalization records of patients with chronic kidney disease in China. To provide practical policy recommendations, a role identification framework informed by complex network theory was proposed considering the strength and distribution of connections of cities in mobility networks. Such a mobility network features multiscale community structure with “universal administrative constraints and a few boundary breaches”. We discovered that cross-module visits which accounted for only 20 % of total visits, accounted for >50 % of the total travel distance. The explainable machine learning modeling results revealed that distance has a power-law-like effect on flow volume, and high-quality healthcare resources are an important driving factor. This paper provides not only a methodological reference for patient mobility studies but also valuable insights into public health policies.