This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2450) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Outbreak and Pandemic Preparedness and Management (1725) Infoveillance and Social Listening (208)

Published on in Vol 6, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23098, first published .
Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index

Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index

Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index

Authors of this article:

Xue Gong1 Author Orcid Image ;   Yangyang Han1 Author Orcid Image ;   Mengchi Hou1 Author Orcid Image ;   Rui Guo1 Author Orcid Image
Article Authors Cited by (29) Tweetations (3) Metrics

Journals

  1. Jarynowski A, Wójta-Kempa M. Exploring the link between risk perception in internet media and the prevalence of COVID-19 in Europe. International Journal of Infectious Diseases 2021;103:450 View
  2. Quach H, Pham T, Hoang N, Phung D, Nguyen V, Le S, Le T, Bui T, Le D, Dang A, Tran D, Ngu N, Vogt F, Nguyen C, Sung W. Using ‘infodemics’ to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July—September 2020. PLOS ONE 2022;17(4):e0266299 View
  3. Gong X, Hou M, Han Y, Liang H, Guo R. Application of the Internet Platform in Monitoring Chinese Public Attention to the Outbreak of COVID-19. Frontiers in Public Health 2022;9 View
  4. Hong W, Lu X, Wu L, Pu X. Analysis of factors influencing public attention to masks during the COVID-19 epidemic—Data from Sina Weibo. Mathematical Biosciences and Engineering 2022;19(7):6469 View
  5. Liu L, Fu Y. Study on the mechanism of public attention to a major event: The outbreak of COVID-19 in China. Sustainable Cities and Society 2022;81:103811 View
  6. Wang Z, Xiao H, Lin L, Tang K, Unger J. Geographic social inequalities in information-seeking response to the COVID-19 pandemic in China: longitudinal analysis of Baidu Index. Scientific Reports 2022;12(1) View
  7. Shang Y, Cai H, Wei Y. The impacts of infectious disease pandemic on China’s edible vegetable oil futures markets: A long-term perspective. Economic Research-Ekonomska Istraživanja 2023;36(1) View
  8. Xie Y, Zhou W, Zhu J, Ruan Y, Wang X, Huang T. Early Warning and Monitoring of Coronavirus Disease 2019 Using Baidu Search Index and Baidu Information Index in Guangxi, China. Infectious Microbes and Diseases 2022;4(4):168 View
  9. Cao F, Zhang L, Wu Y, Guirao J. The Whistleblower’s Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System. Discrete Dynamics in Nature and Society 2022;2022(1) View
  10. Ma Y, Yao Z, Hao Z. The lasting effects of Covid-19 lockdowns on mental health. Applied Economics Letters 2024;31(3):247 View
  11. Song C, Yin H, Shi X, Xie M, Yang S, Zhou J, Wang X, Tang Z, Yang Y, Pan J. Spatiotemporal disparities in regional public risk perception of COVID-19 using Bayesian Spatiotemporally Varying Coefficients (STVC) series models across Chinese cities. International Journal of Disaster Risk Reduction 2022;77:103078 View
  12. Han J, Jiang C, Liu R. Does intelligent transformation trigger technology innovation in China's NEV enterprises?. Energy 2023;270:126823 View
  13. Chen Y, Liu Y, Yan Y. Revealing the spatiotemporal characteristics of the general public's panic levels during the pandemic crisis in China. Transactions in GIS 2023;27(1):176 View
  14. Zhang Q, Yu Y, He J, Yao X, He Y, Wu J, Xu C, Ye C. Did the COVID-19 pandemic impact urticaria information-seeking behavior in China? A retrospective longitudinal study. Frontiers in Public Health 2023;11 View
  15. Yu H, Zeng W, Zhang M, Zhao G, Wu W, Feng Y. Utilizing Baidu Index to Investigate Seasonality, Spatial Distribution and Public Attention of Dry Eye Diseases in Chinese Mainland. Frontiers in Public Health 2022;10 View
  16. Li X, Tang K. Effects of Online Health Information-Seeking Behavior on Sexually Transmitted Disease in China: An Infodemiology Study Based on the Baidu Index. SSRN Electronic Journal 2022 View
  17. Li X, Tang K. The Effects of Online Health Information–Seeking Behavior on Sexually Transmitted Disease in China: Infodemiology Study of the Internet Search Queries. Journal of Medical Internet Research 2023;25:e43046 View
  18. Wang Z, He J, Jin B, Zhang L, Han C, Wang M, Wang H, An S, Zhao M, Zhen Q, Tiejun S, Zhang X. Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study. Journal of Medical Internet Research 2023;25:e44186 View
  19. Wang Y, Zhou H, Zheng L, Li M, Hu B. Using the Baidu index to predict trends in the incidence of tuberculosis in Jiangsu Province, China. Frontiers in Public Health 2023;11 View
  20. Li Z, Fan Y, Su H, Xu Z, Ho H, Zheng H, Tao J, Zhang Y, Hu K, Hossain M, Zhao Q, Huang C, Cheng J. The 2022 Summer record-breaking heatwave and health information-seeking behaviours: an infodemiology study in Mainland China. BMJ Global Health 2023;8(9):e013231 View
  21. Xiao H, Wang Z, Liu F, Unger J. Excess All-Cause Mortality in China After Ending the Zero COVID Policy. JAMA Network Open 2023;6(8):e2330877 View
  22. Ding Y, Wu L, Peng Z, Liu B. Temporal and Spatial Analysis of Negative Emotions in China during the COVID-19 Pandemic. Behavioral Sciences 2024;14(2):113 View
  23. Wang X, Li C, Wang Y, Yin L, Zhou Q, Zheng R, Wu Q, Zhou Y, Dai M. An intelligent prediction model of epidemic characters based on multi‐feature. CAAI Transactions on Intelligence Technology 2024;9(3):595 View
  24. Su X, Wang S, Rosak-Szyrocka J. The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19). PLOS ONE 2024;19(4):e0299374 View
  25. He R, Wang H, Liang W. Spatiotemporal heterogeneity of the association between socioeconomic development and health policy attention: a geographically and temporally weighted regression modeling study in China. Frontiers in Public Health 2024;12 View
  26. Oliveira L. Tracking the denial related to protective measures during the COVID-19 pandemic: the case of #AglomeraBrasil on Twitter (Preprint). JMIR Formative Research 2023 View
  27. Huo D, Zhang T, Han X, Yang L, Wang L, Fan Z, Wang X, Yang J, Huang Q, Zhang G, Wang Y, Qian J, Sun Y, Qu Y, Li Y, Ye C, Feng L, Li Z, Yang W, Wang C. Mapping the Characteristics of Respiratory Infectious Disease Epidemics in China Based on the Baidu Index from November 2022 to January 2023. China CDC Weekly 2024;6(37):939 View
  28. Zhou W, Huang D, Liang Q, Huang T, Wang X, Pei H, Chen S, Liu L, Wei Y, Qin L, Xie Y. Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model. BMC Infectious Diseases 2024;24(1) View