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Influences of Differentiated Residence and Workplace Location on the Identification of Spatiotemporal Patterns of Dengue Epidemics: A Case Study in Guangzhou, China

文献类型：期刊论文

作者Zhang, Yuqi1,2,3,4,5; Ren, Hongyan1; Shi, Runhe2,3,4,5
刊名INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
出版日期2022-10-01
卷号19期号:20页码:19
关键词dengue fever differentiating workplace residence locations GIS spatiotemporal patterns
DOI10.3390/ijerph192013393
通讯作者Ren, Hongyan(renhy@igsnrr.ac.cn) ; Shi, Runhe(rhshi@geo.ecnu.edu.cn)
英文摘要The location of the infections is the basic data for precise prevention and control of dengue fever (DF). However, most studies default to residence address as the place of infection, ignoring the possibility that cases are infected at other places (e.g., workplace address). This study aimed to explore the spatiotemporal patterns of DF in Guangzhou from 2016 to 2018, differentiating workplace and residence. In terms of temporal and spatial dimensions, a case weight assignment method that differentiates workplace and residence location was proposed, taking into account the onset of cases around their workplace and residence. Logistic modeling was used to classify the epidemic phases. Spatial autocorrelation analysis was used to reveal the high and early incidence areas of DF in Guangzhou from 2016 to 2018. At high temporal resolution, the DF in Guangzhou has apparent phase characteristics and is consistent with logistic growth. The local epidemic is clustered in terms of the number of cases and the time of onset and outbreak. High and early epidemic areas are mainly distributed in the central urban areas of Baiyun, Yuexiu, Liwan and Haizhu districts. The high epidemic areas due to commuting cases can be further identified after considering the workplaces of cases. Improving the temporal resolution and differentiating the workplace and residence address of cases could help to improve the identification of early and high epidemic areas in analyzing the spatiotemporal patterns of dengue fever in Guangzhou, which could more reasonably reflect the spatiotemporal patterns of DF in the study area.
WOS关键词FEVER ; RISK ; TRANSMISSION ; GUANGDONG ; OUTBREAK ; PROVINCE
资助项目National Natural Science Foundation of China[42071136] ; Fundamental Research Funds for the Central Universities (East China Normal University)
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种英语
WOS记录号WOS:000875094800001
出版者MDPI
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities (East China Normal University)
源URL[http://ir.igsnrr.ac.cn/handle/311030/186155]  
专题中国科学院地理科学与资源研究所
通讯作者Ren, Hongyan; Shi, Runhe
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China
3.Minist Nat Resources, Key Lab Spatial Temporal Big Data Anal & Applicat, Shanghai 200241, Peoples R China
4.East China Normal Univ, Joint Lab Environm Remote Sensing & Data Assimila, ECNU & CEODE, Minist Educ, Shanghai 200241, Peoples R China
5.East China Normal Univ, State Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Yuqi,Ren, Hongyan,Shi, Runhe. Influences of Differentiated Residence and Workplace Location on the Identification of Spatiotemporal Patterns of Dengue Epidemics: A Case Study in Guangzhou, China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2022,19(20):19.
APA Zhang, Yuqi,Ren, Hongyan,&Shi, Runhe.(2022).Influences of Differentiated Residence and Workplace Location on the Identification of Spatiotemporal Patterns of Dengue Epidemics: A Case Study in Guangzhou, China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,19(20),19.
MLA Zhang, Yuqi,et al."Influences of Differentiated Residence and Workplace Location on the Identification of Spatiotemporal Patterns of Dengue Epidemics: A Case Study in Guangzhou, China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 19.20(2022):19.

入库方式： OAI收割

来源：地理科学与资源研究所

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