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中国法定传染病的城际传播模式:一项社会网络分析

Inter-city movement pattern of notifiable infectious diseases in China: a social network analysis.

作者信息

Yu Lin-Jie, Ji Peng-Sheng, Ren Xiang, Wang Yan-He, Lv Chen-Long, Geng Meng-Jie, Chen Jin-Jin, Tang Tian, Shan Chun-Xi, Lin Sheng-Hong, Xu Qiang, Wang Guo-Lin, Wang Li-Ping, Hay Simon I, Liu Wei, Yang Yang, Fang Li-Qun

机构信息

State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, PR China.

Center for Disease Control and Prevention (Health Inspection Office) of Yuhang District, Hangzhou, Zhejiang, PR China.

出版信息

Lancet Reg Health West Pac. 2024 Dec 13;54:101261. doi: 10.1016/j.lanwpc.2024.101261. eCollection 2025 Jan.

DOI:10.1016/j.lanwpc.2024.101261
PMID:39759426
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11700286/
Abstract

BACKGROUND

Co-existence of efficient transportation networks and geographic imbalance of medical resources greatly facilitated inter-city migration of patients of infectious diseases in China.

METHODS

To characterize the migration patterns of major notifiable infectious diseases (NIDs) during 2016-2020 in China, we collected migratory cases, who had illness onset in one city but were diagnosed and reported in another, from the National Notifiable Infectious Disease Reporting System, and conducted a nationwide network analysis of migratory cases of major NIDs at the city (prefecture) level.

FINDINGS

In total, 2,674,892 migratory cases of NIDs were reported in China during 2016-2020. The top five diseases with the most migratory cases were hepatitis B, tuberculosis, hand, foot and mouth disease (HFMD), syphilis, and influenza, accounting for 79% of all migratory cases. The top five diseases with the highest proportions of migratory cases were all zoonotic or vector-borne (37.89%‒99.98%). The network analysis on 14 major diseases identified three distinct migration patterns, where provincial capitals acted as key node cities: short distance (e.g., pertussis), long distance (e.g., HIV/AIDS), and mixed (e.g., HFMD). Strong drivers for patient migration include population mobility and labor flow intensities between cities as well as the economic development level of the destination city.

INTERPRETATION

Collaborative prevention and control strategies should target cities experiencing frequent patient migration and cater to unique migration patterns of each disease. Addressing disparity in healthcare accessibility can also help alleviate case migration and thereby reduce cross-regional transmission.

FUNDING

National Key Research and Development Program of China.

摘要

背景

高效交通网络与医疗资源地理失衡并存,极大地推动了中国传染病患者的跨市流动。

方法

为描述2016年至2020年期间中国主要法定传染病的迁移模式,我们从国家法定传染病报告系统中收集了发病于一个城市但在另一个城市被诊断和报告的迁移病例,并在城市(地级市)层面开展了全国性主要法定传染病迁移病例的网络分析。

结果

2016年至2020年期间,中国共报告了2674892例法定传染病迁移病例。迁移病例数最多的前五种疾病为乙型肝炎、结核病、手足口病、梅毒和流感,占所有迁移病例的79%。迁移病例比例最高的前五种疾病均为人畜共患或媒介传播疾病(37.89%‒99.98%)。对14种主要疾病的网络分析确定了三种不同的迁移模式,省会城市为关键节点城市:短距离(如百日咳)、长距离(如艾滋病毒/艾滋病)和混合模式(如手足口病)。患者迁移的主要驱动因素包括城市间的人口流动和劳动力流动强度以及目的地城市的经济发展水平。

解读

联合防控策略应针对患者迁移频繁的城市,并适应每种疾病独特的迁移模式。解决医疗可及性差异也有助于减轻病例迁移,从而减少跨区域传播。

资助

中国国家重点研发计划。

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