Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review
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 le...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-09-01
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| Series: | BMC Infectious Diseases |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12879-022-07669-9 |
| _version_ | 1811211734741942272 |
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| author | Junyao Zheng Guoquan Shen Siqi Hu Xinxin Han Siyu Zhu Jinlin Liu Rongxin He Ning Zhang Chih-Wei Hsieh Hao Xue Bo Zhang Yue Shen Ying Mao Bin Zhu |
| author_facet | Junyao Zheng Guoquan Shen Siqi Hu Xinxin Han Siyu Zhu Jinlin Liu Rongxin He Ning Zhang Chih-Wei Hsieh Hao Xue Bo Zhang Yue Shen Ying Mao Bin Zhu |
| author_sort | Junyao Zheng |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T05:18:27Z |
| format | Article |
| id | doaj.art-8fce9be8986842f695bcca601ffd6d2d |
| institution | Directory Open Access Journal |
| issn | 1471-2334 |
| language | English |
| last_indexed | 2024-04-12T05:18:27Z |
| publishDate | 2022-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Infectious Diseases |
| spelling | doaj.art-8fce9be8986842f695bcca601ffd6d2d2022-12-22T03:46:35ZengBMCBMC Infectious Diseases1471-23342022-09-0122111910.1186/s12879-022-07669-9Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic reviewJunyao Zheng0Guoquan Shen1Siqi Hu2Xinxin Han3Siyu Zhu4Jinlin Liu5Rongxin He6Ning Zhang7Chih-Wei Hsieh8Hao Xue9Bo Zhang10Yue Shen11Ying Mao12Bin Zhu13China Institute for Urban Governance, Shanghai Jiao Tong UniversitySchool of Public Administration and Policy, Renmin University of ChinaSchool of Public Policy and Administration, Xi’an Jiaotong UniversitySchool of Public Health and Emergency Management, Southern University of Science and TechnologySchool of Public Policy and Administration, Xi’an Jiaotong UniversitySchool of Public Policy and Administration, Northwestern Polytechnical UniversityVanke School of Public Health, Tsinghua UniversitySchool of Public Policy and Administration, Xi’an Jiaotong UniversityDepartment of Public Policy, City University of Hong KongFreeman Spogli Institute for International Studies, Stanford UniversityDepartment of Earth System Science, Tsinghua UniversityLaboratory for Urban Future, School of Urban Planning and Design, Peking University Shenzhen Graduate SchoolSchool of Public Policy and Administration, Xi’an Jiaotong UniversitySchool of Public Health and Emergency Management, Southern University of Science and TechnologyAbstract 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.https://doi.org/10.1186/s12879-022-07669-9Notifiable infectious diseasesSpatiotemporal epidemiologySpatial epidemiologyGeographical scaleChina |
| spellingShingle | Junyao Zheng Guoquan Shen Siqi Hu Xinxin Han Siyu Zhu Jinlin Liu Rongxin He Ning Zhang Chih-Wei Hsieh Hao Xue Bo Zhang Yue Shen Ying Mao Bin Zhu Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review BMC Infectious Diseases Notifiable infectious diseases Spatiotemporal epidemiology Spatial epidemiology Geographical scale China |
| title | Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review |
| title_full | Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review |
| title_fullStr | Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review |
| title_full_unstemmed | Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review |
| title_short | Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review |
| title_sort | small scale spatiotemporal epidemiology of notifiable infectious diseases in china a systematic review |
| topic | Notifiable infectious diseases Spatiotemporal epidemiology Spatial epidemiology Geographical scale China |
| url | https://doi.org/10.1186/s12879-022-07669-9 |
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