Online Public Attention of COVID-19 Vaccination in Mainland China

Jiang, Lisha; Ma, Qingxin; Wei, Shanzun; Che, Guowei

doi:10.1177/20552076211070454

Cited by 7 publications

(3 citation statements)

References 32 publications

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“…With the rapid development of the internet, its role in the monitoring and early warning of infectious diseases had become increasingly evident in recent years. Many studies 35 , 36 had shown that the frequency of queries for diseases and related symptom keywords were highly correlated with the incidence, reflecting the true searchers' need trends. Whilst Google Trends cannot be used for real‐time epidemiological surveillance of monkeypox, it could be exploited to capture the public's response to the outbreak.…”

Section: Discussionmentioning

confidence: 99%

Association between public attention and monkeypox epidemic: A global lag‐correlation analysis

Yan

Qin

et al. 2022

Journal of Medical Virology

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The human monkeypox has become a public health problem globally. Google Trends Index (GTI) is an indicator of public attention, being potential for infectious disease outbreak surveillance. In this study, we used lag‐correlation analysis to evaluate the spearman correlation coefficients between public attention and monkeypox epidemic by −36 to +36 days‐lag in top 20 countries with most cumulated cases until September 30, 2022, the meta‐analyses were performed to pool the coefficients of countries among all lags. We also constructed vector autoregression model and Granger‐causality test to probe the significance of GTI in monkeypox forecasting. The strongest spearman correlation was found at lag +13 day (r = 0.53, 95% confidence interval: 0.371–0.703, p < 0.05). Meta‐analysis showed significantly positive correlation when the lag was from −12 to +36 day, which was most notable on the third posterior day (lag +3 day). The pooled spearman correlation coefficients were all above 0.200 when the lag ranged from +1 to +20 day, and the causality of GTI for daily case was significant in worldwide and multiple countries. The findings suggested a robust association between 13‐days‐priority GTI and daily cases worldwide. This work introduced a potential monitor indicator on the early warning and surveillance of monkeypox outbreak.

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Section: Discussionmentioning

confidence: 99%

Association between public attention and monkeypox epidemic: A global lag‐correlation analysis

Yan

Qin

et al. 2022

Journal of Medical Virology

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“…Google Trends is a well-recognized academic approach for investigating public needs [ 28 ]. In this study, we used the Baidu Index, a data analysis platform based on Baidu's extensive network behavior data, to investigate infodemiology evidence of e-cigarettes, as Google is inaccessible in mainland China [ 29 , 30 ]. This approach allows us to gain insight into public attention toward e-cigarettes, which can potentially inform clinicians in their efforts toward lung cancer prevention and treatment, considering that lung cancer is a preventable disease in theory.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of Public Perception and Concern Toward Electronic Cigarettes: Exploring Attitudes and Profiles

Jiang,

Wei,

Sam Saji

et al. 2023

Cureus

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Introduction The emergence of electronic cigarettes (e-cigarettes) poses a new challenge to tobacco control efforts. With their increasing popularity, particularly among youth, public concerns have been raised in Mainland China. Further investigation is necessary to fully understand the safety and potential adverse effects of e-cigarettes. Methods The Baidu search index (BSI) was employed using e-cigarette related terms from January 1, 2011, to April 4, 2022. The search volume for each term was recorded and analyzed for the search trend module, geodemographic module, search-demand module, regional preferences, demographic preferences, and user demand. Results According to our analysis, the total BSI for the 18 e-cigarette related search keywords was 39,027,819. The average annual percentage change of BSI indicated an upward trend for each of these categories, including health issues ( p < 0.05), definition ( p < 0.05), product and promotions ( p < 0.05), and policy and regulations. Of all inquiries, 59.38% originated from females and 40.62% from males. The total valid BSI for e-cigarette related words was 165,076,588, and 11.59% of all search inquiries were from individuals aged 19 years and younger. Our analysis also revealed that the public's primary concerns regarding e-cigarettes were related to their quality and potential health issues. Conclusions E-cigarettes enjoy great popularity nationwide, but product quality and safety are major public concerns. Regulation of e-cigarettes for their standard production, quality control, advertisement, and target customers should be implemented promptly, and the public needs to have a clear perception of e-cigarettes, especially adolescents. E-cigarette related health damages or consequences require further investigation, and advertisements and promotions for e-cigarettes should be strictly controlled by the government.

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“…As of 2021, the number of internet users in China has reached 989 million, and the user penetration rate of the Baidu search engine is 90.9%, making it the world's largest Chinese search engine. Many studies have shown that the frequency of queries for diseases and related symptom keywords are highly correlated with the incidence, reflecting the true searchers' need trends ( 18 , 19 ), so the Baidu index for hepatitis E could be utilized in predicting the incidence of hepatitis E. Thus, the LSTM model has much room for improvement.…”

Section: Introductionmentioning

confidence: 99%

Predicting incidence of hepatitis E for thirteen cities in Jiangsu Province, China

Wang

Cheng

et al. 2022

Front. Public Health

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Hepatitis E has placed a heavy burden on China, especially in Jiangsu Province, so accurately predicting the incidence of hepatitis E benefits to alleviate the medical burden. In this paper, we propose a new attentive bidirectional long short-term memory network (denoted as BiLSTM–Attention) to predict the incidence of hepatitis E for all 13 cities in Jiangsu Province, China. Besides, we also explore the performance of adding meteorological factors and the Baidu (the most widely used Chinese search engine) index as additional training data for the prediction of our BiLSTM–Attention model. SARIMAX, GBDT, LSTM, BiLSTM, and BiLSTM–Attention models are tested in this study, based on the monthly incidence rates of hepatitis E, meteorological factors, and the Baidu index collected from 2011 to 2019 for the 13 cities in Jiangsu province, China. From January 2011 to December 2019, a total of 29,339 cases of hepatitis E were detected in all cities in Jiangsu Province, and the average monthly incidence rate for each city is 0.359 per 100,000 persons. Root mean square error (RMSE) and mean absolute error (MAE) are used for model selection and performance evaluation. The BiLSTM–Attention model considering meteorological factors and the Baidu index has the best performance for hepatitis E prediction in all cities, and it gets at least 10% improvement in RMSE and MAE for all 13 cities in Jiangsu province, which means the model has significantly improved the learning ability, generalizability, and prediction accuracy when comparing with others.

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Online Public Attention of COVID-19 Vaccination in Mainland China

Cited by 7 publications

References 32 publications

Association between public attention and monkeypox epidemic: A global lag‐correlation analysis

Association between public attention and monkeypox epidemic: A global lag‐correlation analysis

An Analysis of Public Perception and Concern Toward Electronic Cigarettes: Exploring Attitudes and Profiles

Predicting incidence of hepatitis E for thirteen cities in Jiangsu Province, China

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