Title | Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review |
Author | |
Corresponding Author | Zhu, Bin |
Publication Years | 2022-09-05
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DOI | |
Source Title | |
EISSN | 1471-2334
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Volume | 22Issue:1 |
Abstract | 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. |
Keywords | |
URL | [Source Record] |
Indexed By | |
Language | English
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SUSTech Authorship | Corresponding
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Funding Project | Major Project of Philosophy and Social Sciences of China[17ZDA079]
; Shenzhen Philosophy and Social Science Project[SZ2021C017]
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WOS Research Area | Infectious Diseases
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WOS Subject | Infectious Diseases
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WOS Accession No | WOS:000850079500001
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Publisher | |
ESI Research Field | IMMUNOLOGY
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Data Source | Web of Science
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Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/395969 |
Department | School of Public Health and Emergency Management |
Affiliation | 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 |
Corresponding Author Affilication | Southern University of Science and Technology |
Recommended Citation 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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