Tropical Geography ›› 2020, Vol. 40 ›› Issue (3): 375-385.doi: 10.13284/j.cnki.rddl.003244
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Sun Yuting1(), Xiao Fan1, Zhou Yong1, Tian Guangzeng2(
)
Received:
2020-03-20
Revised:
2020-05-05
Online:
2020-05-31
Published:
2020-06-30
Contact:
Tian Guangzeng
E-mail:d06325002@ntu.edu.tw;1173931709@qq.com
CLC Number:
Sun Yuting, Xiao Fan, Zhou Yong, Tian Guangzeng. Spatial-Temporal Distribution and Influence Mechanism of Internet Public Attention on COVID-19: A Case Study on the Baidu Searching Index[J].Tropical Geography, 2020, 40(3): 375-385.
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Table 1
Definition and description of the variables"
变量类型 | 变量来源 | 变量说明 | 均值 | 标准差 | 最小值 | 最大值 | |
---|---|---|---|---|---|---|---|
因变量 | 搜索指数 | 百度搜索指数 | 统计网民在百度网页搜索中对关键词的搜索频次/次 | 27 608.344 | 31 132.561 | 0 | 202 365 |
疫情 动态 资讯 | 确诊病例数 | nCov2019数据库 | 医学诊断判定为新冠肺炎的患者数量/例 | 226.581 | 330.560 | 0 | 1 350 |
死亡病例数 | 新冠肺炎的治愈出院患者数量/例 | 1.298 | 2.798 | 0 | 22 | ||
治愈病例数 | 新冠肺炎的死亡病例数量/例 | 92.500 | 194.388 | 0 | 1 206 | ||
人口 流动 因素 | 武汉迁出人口 | 百度迁徙数据 | 武汉迁出至该地区的人口数量占武汉迁出人口总量的比例/% | 0.537 | 0.083 | 0 | 0.646 |
迁入武汉人口 | 该地区迁入武汉的人口数量占武汉迁入人口总量的比例/% | 0.784 | 1.110 | 0 | 11.310 | ||
经济 社会 因素 | 人口规模 | 《2019年中国 统计年鉴》 | 各省常住人口数量/百万人 | 44.559 | 28.787 | 3.435 | 113.444 |
人均GDP | 人均地区生产总值/元 | 65 208.067 | 29 129.456 | 31 336 | 140 211 | ||
互联网普及率 | 《2018年网宿·中国 互联网发展报告》 | (全国各省市)网民数/人口数(%) | 56.230 | 8.830 | 43 | 80 |
Table 2
Test for model choice"
模型 | 时间段 | F检验 | Hausman检验 | PLM检验 | 检验结果 |
---|---|---|---|---|---|
混合vs固定 | 固定vs随机 | 混合vs随机 | |||
模型一 | 第一阶段 | 0.000 *** (F=9.312, df1 = 29; df2 = 445) | 0.000 *** (χ2=176.860, df = 5) | — | 固定效果 |
第二阶段 | 0.000 *** (F=117.700, df1 = 29; df2 = 1 105) | 0.000 *** (χ2=254.310, df = 5) | — | 固定效果 | |
模型二 | 第一阶段 | — | — | 0.592 (χ2=0.288, df = 1) | 随机效果 |
第二阶段 | — | — | 0.000*** (χ2=1 363.600, df=1) | 混合效果 |
Table 3
Results of panel data regressions"
自变量 | 模型一 | 模型二 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
第一阶段 | 第二阶段 | 第一阶段 | 第二阶段 | ||||||||
系数 | VIF | 系数 | VIF | 系数 | VIF | 系数 | VIF | ||||
类型 | 固定效应 | 固定效应 | 随机效应 | 混合效应 | |||||||
确诊病例数 | 1 430.740*** | 1.766 | -40.823*** | 3.624 | 1 906.676*** | 1.774 | -1.223 | 4.558 | |||
死亡病例数 | 30 403.490*** | 1.008 | -607.496* | 1.542 | 34 534.710*** | 1.028 | -903.835*** | 1.586 | |||
治愈病例数 | -822.525 | 1.742 | -43.334*** | 3.435 | -9 112.869 | 1.756 | -62.328*** | 3.525 | |||
武汉迁出人口 | -33 454.680*** | 1.509 | 9 655.013*** | 2.230 | -1 982.319** | 2.251 | 15 038.900*** | 2.300 | |||
迁入武汉人口 | -6 354.798*** | 1.552 | -599.438 | 2.414 | -1 364.255* | 3.016 | -1 725.092 | 2.625 | |||
人口规模 | — | — | — | — | 227.020*** | 2.360 | 910.535*** | 2.264 | |||
人均GDP | — | — | — | — | 0.124** | 4.126 | 0.157*** | 4.076 | |||
互联网普及率 | — | — | — | — | -267.195 | 4.936 | 436.656*** | 4.024 | |||
常数项 | — | — | — | — | 5 523.144* | — | -33 714.110*** | — | |||
样本量 | 480 | — | 1 140 | — | 480 | — | 1 140 | — | |||
R2 | 0.718 | — | 0.646 | — | 0.645 | — | 0.784 | — | |||
调整后 R2 | 0.696 | — | 0.635 | — | 0.639 | — | 0.782 | — | |||
F值 | 226.193*** | — | 403.713*** | — | 106.931*** | — | 512.992*** | — |
Brownstein J S, Freifeld C C and Madoff L C. 2009. Digital Disease Detection: Harnessing the Web for Public Health Surveillance. The New England Journal of Medicine,360(21): 2153-2157. | |
Chew C and Eysenbach G. 2010. Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak. PLoS One, 5(11): e14118. | |
Cook S, Conrad C, Fowlkes A L and Mohebbi M H. 2011. Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic. PLoS One, 6(8): e23610. | |
丁启燕,杨振,周晴雨. 2017. 中国艾滋病疫情分布变化与人口流动性研究. 热带地理,37(4):538-546. [Ding Qiyan, Yang Zhen and Zhou Qingyu. 2017. Spatial Changes of AIDS Epidemic and Population Mobility in China. Tropical Geography, 37(4): 538-546. ] | |
Eysenbach G. 2006. Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance. Washington D C: Annual Symposium Proceedings of American Medical Informatics Association (AMIA). | |
Ginsberg J, Mohebbi M H, Patel R S, Brammer L, Smolinski M S and Brilliant L. 2009. Detecting Influenza Epidemics Using Search Engine Query Data. Nature,457(7232): 1012-1014. | |
黄河,翁之颢. 2019. 移动互联网对网络评论受众注意力分配的影响——基于时间社会学的视角. 编辑之友,(5):54-60. [Huang He and Weng Zhihao. 2019. The Impact of Mobile Internet on the Allocation of Audience’s Attention: From the Perspective of Sociology of Time. Editorial Friend,(5): 54-60. ] | |
Ishii A, Wakabayashi T, Okano N and Kawahata Y. 2018. Analysis of Social Media Content and Search Behavior Related to Seasonal Topics Using the Sociophysics Approach. (2018-07-14) [2020-02-19]. https://arxiv.org/pdf/1807.05320.pdf. | |
Lang A. 2000. The Limited Capacity Model of Mediated Message Processing. Journal of Communication, 50(1): 46-70. | |
李星明,王建立,张玉珍. 2004. 传染病流行的社会因素及社会控制策略刍议. 医学与社会,17(2):5-8. [Li Xingming, Wang Jianli and Zhang Yuzhen. 2004. Primary Discussions on Social Factors for Infectious Diseases Prevalence and Social Control Strategies. Medicine and Society,17(2): 5-8. ] | |
李永宁,吴晔,张伦. 2019. 2010—2016年公共议题的公众注意力周期变化研究. 国际新闻界,41(5):27-38. [Li Yongning, Wu Ye and Zhang Lun. 2019. Exploring Duration of Public Attention from 2010 to 2016. Chinese Journal of Journalism & Communication, 41(5): 27-38. ] | |
廖一兰,王劲峰,杨维中,李忠杰,金莲梅,赖圣杰,郑晓瑛. 2012. 传染病多维度聚集性探测方法. 地理学报,67(4):435-443. [Liao Yilan, Wang Jinfeng, Yang Weizhong, Li Zhongjie, Jin Lianmei, Lai Shengjie and Zheng Xiaoying. 2012. A Study on Detecting Multi-Dimensional Clusters of Infectious Diseases. Acta Geographica Sinica, 67(4): 435-443. ] | |
刘慧君,李树茁,马克·费尔德曼. 2012. 性别失衡下的人口流动与艾滋病传播风险——基于风险选择的元分析. 人口与经济,(6):16-24. [ Liu Huijun, Li Shuzhuo and Feldman Marc. 2012. Migration and HIV Transmission Risk under Gender Imbalance: A Meta-Analysis. Population & Economics, (6): 16-24. ] | |
刘寿,王兆芬,李筱,李斌,简生燕,张发斌,杜文琪,林玲. 2013. 中国流动人口艾滋病综合干预效果的系统评价. 中国卫生统计,30(3):357-361. [Liu Shou, Wang Zhaofen, Li Xiao, Li Bin, Jian Shengyan, Zhang Fabin, Du Wenqi and Lin Ling. 2013. System Evaluation on Comprehensive Intervention Effect of AIDS of Floating Population in China. Chinese Journal of Health Statistics, 30(3): 357-361. ] | |
刘维斯,攸小瑾,马晓薇,董智强,胡文穗. 2018. 互联网搜索指数与埃博拉认知需求相关性分析. 医学动物防制,34(12):1146-1148. [Liu Weisi, You Xiaojin, Ma Xiaowei, Dong Zhiqiang and Hu Wensui. 2018. Correlation Analysis between Internet Searching Index and Cognitive Demand of Ebola. Journal of Medical Pest Control, 34(12): 1146-1148. ] | |
MacKuen M, Wolak J, Keele L and Marcus G E. 2010. Civic Engagements: Resolute Partisanship or Reflective Deliberation. American Journal of Political Science, 54(2): 440-458. | |
孟天广,赵娟. 2019. 大数据时代网络搜索行为与公共关注度——基于2011—2017年百度指数的动态分析. 学海,(3):41-48. [Meng Tianguang and Zhao Juan. 2019. Internet Searching Behavior and Public Attention in Big Data Era: Based on Dynamic Analysis of Baidu Index from 2011 to 2017. Academia Bimestris,(3) : 41-48. ] | |
莫国芳,吴瑛,元兮. 2004. 云南流动人口与艾滋病扩散. 人口与经济,(2):14-19. [Mo Guofang, Wu Ying and Yuan Xi. 2004. Floating Population and AIDS Spreading in Yunnan Province. Population & Economics, (2): 14-19. ] | |
Olson D R, Konty K J, Paladini M, Viboud C and Simonsen L. 2013. Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales. PLoS Computational Biology, 9(10): e1003256. | |
Polgreen P M, Chen Y, Pennock D M, Nelson F D and Weinstein R A. 2008. Using Internet Searches for Influenza Surveillance. Clinical Infectious Diseases,47(11): 1443-1448. | |
曲卫华,颜志军. 2015. 环境污染,经济增长与医疗卫生服务对公共健康的影响分析——基于中国省际面板数据的研究. 中国管理科学,23(7):166-176. [Qu Weihua and Yan Zhijun. 2015. The Influence of Environmental Pollution, Economic Growth and Healthcare Services to Public Health Based on China’s Provincial Panel Data. Chinese Journal of Management Science, 23(7): 166-176. ] | |
Ripberger J T. 2011. Capturing Curiosity: Using Internet Search Trends to Measure Public Attentiveness. Policy Studies Journal,39(2): 239-259. | |
Salathe M, Bengtsson L, Bodnar T J, Brewer D D, Brownstein J S, Buckee C and Vespignani A. 2012. Digital Epidemiology. PLoS Computational Biology,8(7): e1002616. | |
Scharkow M and Vogelgesang J. 2011. Measuring the Public Agenda Using Search Engine Queries. International Journal of Public Opinion Research,23(1): 104-113. | |
Scheitle C P. 2011. Google’s Insights for Search: A Note Evaluating the Use of Search Engine Data in Social Research. Social Science Quarterly, 92(1): 285-295. | |
Schmidt C W. 2012. Trending Now: Using Social Media to Predict and Track Disease Outbreaks. Environmental Health Perspectives, 120(1): a30-a33. | |
Signorini A, Segre A M and Polgreen P M. 2011. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the US during the Influenza A H1N1 Pandemic. PLoS One,6(5): 1-10. | |
搜狐. 2020. 这次疫情,终于让大家看清球了山东的“真面目”!. (2020-02-15). [2020-05-15]. https://www.sohu.com/a/373182268_99900374.[SOHU.com. 2020. Shandong Has Shown Its True Face Through This COVID-19 Epidemic! (2020-02-15) [2020-05-15]. https://www.sohu.com/a/373182268_99900374. ] | |
Towers S, Afzal S, Bernal G, Bliss N, Brown S, Espinoza B and Mamada R. 2015. Mass Media and the Contagion of Fear: the Case of Ebola in America. PLoS One,10(6): 1-13. | |
Wang C J, Wang P P and Zhu J J. 2013. Discussing Occupy Wall Street on Twitter: Longitudinal Network Analysis of Equality, Emotion, and Stability of Public Discussion. Cyberpsychology, Behavior, and Social Networking,16(9): 679-685. | |
网宿科技. 2018. 2018年网宿·中国互联网发展报告.(2019-02-19)[2020-02-23]. https://www.wangsu.com/Upload/201902/20190 219152128_8313.pdf. [ChinaNetCenter. 2018. 2018 Wangsu-China the Internet Development Report. (2019-02-19) [2020-02-23]. https://www.wangsu.com/Upload/201902/20190219152128_8313.pdf. ] | |
文希,江昀. 2018. “二孩”问题的媒介关注度分布研究——基于百度指数大数据的考察. 新闻论坛,(6):27. [Wen Xi and Jiang Yun. 2018. Research on the Distribution of Media Attention to the “Second Child” : Based on Baidu Index Big Data. News Tribune, (6): 24-27. ] | |
World Health Organization (WHO). 2020. WHO Timeline-COVID-19. (2020-04-27) [2020-04-27]. https://www.who.int/news-room/detail/27-04-2020-who-timeline---covid-19. | |
夏国美,杨秀石. 2006. 社会性别、人口流动与艾滋病风险. 中国社会科学,(6):88-99. [Xia Guomei and Yang Xiushi. 2006. Research on Gender, Migration and the Risk of HIV/AIDS. Social Sciences in China, (6): 88-99. ] | |
新华网. 2020. 专家称系新型冠状病毒 武汉不明原因的病毒性肺炎疫情病原学鉴定取得初步进展. (2020-01-09) [2020-05-04]. http://www.xinhuanet.com/health/2020-01/09/c_1125439552.htm.[Xinhuanet. 2020. Experts Call It 2019 Novel Coronavirus Initial Progress Has Been Made in Pathogen Identification On Unknown Causes of the Viral Pneumonia in Wuhan. (2020-01-09) [2020-05-04]. http://www.xinhuanet.com/health/2020-01/09/c_1125439552.htm. ] | |
许小可,文成,张光耀,孙皓宸,刘波,王贤文. 2020. 新冠肺炎暴发前期武汉外流人口的地理去向分布及影响. 电子科技大学学报,49(1):1-6. [Xu Xiaoke, Wen Cheng, Zhang Guangyao, Sun Haochen, Liu Bo and Wang Xianwen. 2020. The Geographical Destination Distribution and Effect of Outflow Population of Wuhan When the Outbreak of the COVID-19 Pneumonia. Journal of University of Electronic Science and Technology of China, 49(1): 1-6. ] | |
央视网新闻. 2020a. 通报!武汉发现不明原因肺炎 患者增至44例 重症11例. (2020-01-03). [2020-05-04]. http://news.cctv.com/2020/01/03/ARTIVzhdzIXUOlOUOetVrAhv200103.shtml. [CCTV-NEWS. 2020a. Notice! The Total Number of Cases with an Unexplained Viral Pneumonia Diagnosis Has Risen to 44 in Wuhan, among Them, 11 are Serious.(2020-01-03) [2020-05-04]. http://news.cctv.com/2020/01/03/ARTIVzhdzIXUOlOUOetVr Ahv2001 03.shtml. ] | |
央视网新闻. 2020b. 武汉确诊41例感染新型冠状病毒肺炎患者. (2020-01-11)[2020-05-04]. http://tv.cctv.com/2020/01/11/ARTIX yULO7vJGIa8qrPLdNwE200111.shtml. [CCTV-NEWS. 2020b. 41 Cases have been Confirmed of Infecting the Novel Coronavirus Pneumonia in Wuhan. (2020-01-11) [2020-05-04]. http://tv.cctv.com/2020/01/11/ARTIXyULO7vJGIa8qrPLdNwE200111.shtml. ] | |
杨振,王念,王宇. 2016. 中国性病疫情的时空差异与经济驱动机制——以淋病、梅毒为例. 热带地理,36(5):761-766. [Yang Zhen, Wang Nian and Wang Yu. 2016. Spatio-Temporal Differences of Sexually Transmitted Diseases in China and Its Relationship with Economic Development: A Case Study of Gonorrhea and Syphilis. Tropical Geography, 36(5): 761-766. ] | |
臧国仁. 1998. 消息来源组织与媒介真实之建构——组织文化与组织框架的观点. 广告学研究,(11):69-116. [Tsang Kuojen. 1998. News Sources & Construction of News Reality: Perspectives on Organizational Culture and Media Framing. The Journal of Advertising & Public Relation, (11): 69-116. ] | |
中华人民共和国国家统计局. 2019. 中国统计年鉴-2019. 北京:中国统计出版社,2019. [National Bureau of Statistics of People's Republic of China. China Statistical Yearbook-2019. Beijing: China Statistics Press. ] |
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