题名 | Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review |
作者 | |
通讯作者 | Zhu, Bin |
发表日期 | 2022-09-05
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DOI | |
发表期刊 | |
EISSN | 1471-2334
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卷号 | 22期号:1 |
摘要 | Background The prevalence of infectious diseases remains one of the major challenges faced by the Chinese health sector. Policymakers have a tremendous interest in investigating the spatiotemporal epidemiology of infectious diseases. We aimed to review the small-scale (city level, county level, or below) spatiotemporal epidemiology of notifiable infectious diseases in China through a systematic review, thus summarizing the evidence to facilitate more effective prevention and control of the diseases. Methods We searched four English language databases (PubMed, EMBASE, Cochrane Library, and Web of Science) and three Chinese databases (CNKI, WanFang, and SinoMed), for studies published between January 1, 2004 (the year in which China's Internet-based disease reporting system was established) and December 31, 2021. Eligible works were small-scale spatial or spatiotemporal studies focusing on at least one notifiable infectious disease, with the entire territory of mainland China as the study area. Two independent reviewers completed the review process based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results A total of 18,195 articles were identified, with 71 eligible for inclusion, focusing on 22 diseases. Thirty-one studies (43.66%) were analyzed using city-level data, 34 (47.89%) were analyzed using county-level data, and six (8.45%) used community or individual data. Approximately four-fifths (80.28%) of the studies visualized incidence using rate maps. Of these, 76.06% employed various spatial clustering methods to explore the spatial variations in the burden, with Moran's I statistic being the most common. Of the studies, 40.85% explored risk factors, in which the geographically weighted regression model was the most commonly used method. Climate, socioeconomic factors, and population density were the three most considered factors. Conclusions Small-scale spatiotemporal epidemiology has been applied in studies on notifiable infectious diseases in China, involving spatiotemporal distribution and risk factors. Health authorities should improve prevention strategies and clarify the direction of future work in the field of infectious disease research in China. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
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资助项目 | Major Project of Philosophy and Social Sciences of China[17ZDA079]
; Shenzhen Philosophy and Social Science Project[SZ2021C017]
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WOS研究方向 | Infectious Diseases
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WOS类目 | Infectious Diseases
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WOS记录号 | WOS:000850079500001
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出版者 | |
ESI学科分类 | IMMUNOLOGY
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来源库 | Web of Science
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引用统计 |
被引频次[WOS]:1
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/395969 |
专题 | 南方科技大学医学院_公共卫生及应急管理学院 |
作者单位 | 1.Shanghai Jiao Tong Univ, China Inst Urban Governance, Shanghai, Peoples R China 2.Renmin Univ China, Sch Publ Adm & Policy, Beijing, Peoples R China 3.Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian, Peoples R China 4.Southern Univ Sci & Technol, Sch Publ Hlth & Emergency Management, Shenzhen 518055, Guangdong, Peoples R China 5.Northwestern Polytech Univ, Sch Publ Policy & Adm, Xian, Peoples R China 6.Tsinghua Univ, Vanke Sch Publ Hlth, Beijing, Peoples R China 7.Imperial Coll, MRC Ctr Global Infect Dis Anal, Sch Publ Hlth, London, England 8.Imperial Coll, Abdul Latif Jameel Inst Dis & Emergency Analyt, Sch Publ Hlth, London, England 9.City Univ Hong Kong, Dept Publ Policy, Hong Kong, Peoples R China 10.Stanford Univ, Freeman Spogli Inst Int Studies, Stanford, CA 94305 USA 11.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China 12.Peking Univ Shenzhen Grad Sch, Lab Urban Future, Sch Urban Planning & Design, Shenzhen, Peoples R China 13.Shanghai Jiao Tong Univ, Sch Int & Publ Affairs, Shanghai, Peoples R China |
通讯作者单位 | 公共卫生及应急管理学院 |
推荐引用方式 GB/T 7714 |
Zheng, Junyao,Shen, Guoquan,Hu, Siqi,et al. Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review[J]. BMC INFECTIOUS DISEASES,2022,22(1).
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APA |
Zheng, Junyao.,Shen, Guoquan.,Hu, Siqi.,Han, Xinxin.,Zhu, Siyu.,...&Zhu, Bin.(2022).Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review.BMC INFECTIOUS DISEASES,22(1).
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MLA |
Zheng, Junyao,et al."Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review".BMC INFECTIOUS DISEASES 22.1(2022).
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
Small-scale_spatiote(2873KB) | -- | -- | 开放获取 | -- | 浏览 |
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