Dataset Information

Global search trends on common vaccine-related information in English on the Internet.

ABSTRACT: Background:The knowledge about Internet search trends helps to know the information-seeking behavior of the Internet users and this would help in formulating Information Education and Communication strategy. Aim:The aim of this study was to explore the global Internet search trends about vaccine-related information in English. Materials and Methods:First, we conducted a pilot interview with 15 participants (convenience sample from a tertiary care hospital) to make a list of five common query keywords (viz., When, Where, Cost, Side effect, Schedule) for vaccine-related search. Then, we obtained the search trends from "Google trends" for 5 years with the five query keywords prefixed with vaccine (e.g. vaccine when). In the second phase, individual vaccine search was conducted with a particular vaccine name and query keyword (e.g. measles vaccine side effect). Results:Five-year search trend showed that the highest volume of search was for "schedule" (36.79%), followed by "when" (26.57%), "cost" (21.97%), and "where" (11.99%). The "side effect" showed the lowest volume of search (2.68%) (?2 = 10595, P < 0.0001). The search volume was increased over the years. The highest volume of the "when" and "where" were searched from the USA. The "cost" was searched in the highest volume from Australia. "Side effect" and "schedule" of the vaccine were searched with the highest volume from Philippines and Nepal, respectively. Conclusion:This study provides a glimpse of global vaccine-related search trends over a period of 5 years. Information on the "schedule" and "when" to get the vaccine should be strengthened for wider dissemination of knowledge.

SUBMITTER: Rampally V

PROVIDER: S-EPMC7113945 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Global search trends on common vaccine-related information in English on the Internet.

Rampally Vijay V Mondal Himel H Mondal Shaikat S

Journal of family medicine and primary care 20200228 2

<h4>Background</h4>The knowledge about Internet search trends helps to know the information-seeking behavior of the Internet users and this would help in formulating Information Education and Communication strategy.<h4>Aim</h4>The aim of this study was to explore the global Internet search trends about vaccine-related information in English.<h4>Materials and methods</h4>First, we conducted a pilot interview with 15 participants (convenience sample from a tertiary care hospital) to make a list of ...[more]

PMID: 32318405

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Project description:BackgroundThe prevalence of chronic conditions such as obesity, hypertension, and diabetes is increasing in African countries. Many chronic diseases have been linked to risk factors such as poor diet and physical inactivity. Data for these behavioral risk factors are usually obtained from surveys, which can be delayed by years. Behavioral data from digital sources, including social media and search engines, could be used for timely monitoring of behavioral risk factors.ObjectiveThe objective of our study was to propose the use of digital data from internet sources for monitoring changes in behavioral risk factors in Africa.MethodsWe obtained the adjusted volume of search queries submitted to Google for 108 terms related to diet, exercise, and disease from 2010 to 2016. We also obtained the obesity and overweight prevalence for 52 African countries from the World Health Organization (WHO) for the same period. Machine learning algorithms (ie, random forest, support vector machine, Bayes generalized linear model, gradient boosting, and an ensemble of the individual methods) were used to identify search terms and patterns that correlate with changes in obesity and overweight prevalence across Africa. Out-of-sample predictions were used to assess and validate the model performance.ResultsThe study included 52 African countries. In 2016, the WHO reported an overweight prevalence ranging from 20.9% (95% credible interval [CI] 17.1%-25.0%) to 66.8% (95% CI 62.4%-71.0%) and an obesity prevalence ranging from 4.5% (95% CI 2.9%-6.5%) to 32.5% (95% CI 27.2%-38.1%) in Africa. The highest obesity and overweight prevalence were noted in the northern and southern regions. Google searches for diet-, exercise-, and obesity-related terms explained 97.3% (root-mean-square error [RMSE] 1.15) of the variation in obesity prevalence across all 52 countries. Similarly, the search data explained 96.6% (RMSE 2.26) of the variation in the overweight prevalence. The search terms yoga, exercise, and gym were most correlated with changes in obesity and overweight prevalence in countries with the highest prevalence.ConclusionsInformation-seeking patterns for diet- and exercise-related terms could indicate changes in attitudes toward and engagement in risk factors or healthy behaviors. These trends could capture population changes in risk factor prevalence, inform digital and physical interventions, and supplement official data from surveys.

Project description:BackgroundCOVID-19 vaccine coverage and experiences of structural and attitudinal barriers to vaccination vary across populations. Education-related inequality in COVID-19 vaccine coverage and barriers within and between countries can provide insight into the hypothesised role of education as a correlate of vaccine access and acceptability. We aimed to characterise patterns of within-country education-related inequality in COVID-19 vaccine indicators across 90 countries.MethodsThis study used data from the University of Maryland Social Data Science Center Global COVID-19 Trends and Impact Survey. Data from 90 countries (more than 14 million participants aged 18 years and older) were included in our analyses. We assessed education-related inequalities globally, across country-income groupings, and nationally for four indicators (self-reported receipt of COVID-19 vaccine, structural barriers to vaccination, vaccine hesitancy, and vaccine refusal) for the study period June 1-Dec 31, 2021. We calculated an absolute summary measure of inequality to assess the latest situation of inequality and time trends and explored the association between government vaccine availability policies and education-related inequality.FindingsNearly all countries had higher self-reported receipt of a COVID-19 vaccine among the most educated respondents than the least educated respondents. Education-related inequality in structural barriers, vaccine hesitancy, and vaccine refusal varied across countries, and was most pronounced in high-income countries, overall. Low-income and lower-middle-income countries reported widespread experiences of structural barriers and high levels of vaccine hesitancy alongside low levels of education-related inequality. Globally, vaccine hesitancy in unvaccinated people was higher among those with lower education and vaccine refusal was higher among those with higher education, especially in high-income countries. Over the study period, education-related inequalities in self-reported receipt of a COVID-19 vaccine declined, globally and across all country income groupings. Government policies expanding vaccine availability were associated with lower education-related inequality in self-reported receipt of vaccine.InterpretationThis study serves as a baseline for continued inequality monitoring and could help to inform targeted actions for the equitable uptake of vaccines.FundingGavi, the Vaccine Alliance.

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Global search trends on common vaccine-related information in English on the Internet.

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Global search trends on common vaccine-related information in English on the Internet.

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