ArticleBMC public health2022
Netizens' risk perception in new coronary pneumonia public health events: an analysis of spatiotemporal distribution and influencing factors.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Internet use and livelihood risk perception: exploring the dynamic relationship and moderating factors between information dissemination and individual perception.Frontiers in psychology · 2025Article
- Establishment of the emergency material reserve mechanism for public health emergencies and optimization of the management of various functional departments.Frontiers in public health · 2022Article
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInternet search volume reflects the level of Internet users' risk perception during public health events. The Internet search volume index model, an algorithm of concentration of Internet users, and statistical analysis of popular topics on Weibo are used to analyze the effects of time, space, and space-time interaction. We conducted in-depth research on the characteristics of the spatial and temporal distribution of Internet users' risk perceptions of public health events and the associated influential factors.
methodsWe analyzed the spatiotemporal distribution characteristics of Internet users' risk perception after the Wuhan "city closing" order during the coronavirus disease 2019 (COVID-19) pandemic. We established five linear regression models according to different time periods and analyzed factors influencing Internet users' risk perception by employing a Poisson and spatial distribution and topic modeling analysis.
resultsEconomy, education, health, and the degree of information disclosure affect Internet users' risk perception significantly. Internet users' risk perception conforms to the exponential distribution law in time and has periodic characteristics and stability trends. Additionally, Internet users' average arrival rate dropped from week 1 to week 8 after the "city closing." Internet users' risk perception has a uniform distribution in space, economic and social development level distribution consistency, spatial agglomeration, and other characteristics. The results of the time-space interaction show that after 8 weeks of COVID-19, Internet search hot topics have become more stable, and Internet users' information demand structure has become more rational.
conclusionsThe Internet search cycle of the COVID-19 event is synchronized with the evolution cycle of the epidemic. The physical risk of Internet users is at the top of the risk structure, focusing on the strong concern about the government's ability to control COVID-19 and its future trend. The government should strengthen network management; seize the risk control focus of key time nodes, regional locations, and information content of online communication; actively adjust the information content supply; effectively control the rebound of Internet users' risk perception; establish a data-driven, risk-aware intelligence system for internet users; and guide people to actively face and overcome the potential risks and threats of COVID-19.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.