| Literature DB >> 32318405 |
Vijay Rampally1, Himel Mondal2, Shaikat Mondal3.
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.Entities:
Keywords: Google trends; immunization; information-seeking behavior; vaccination
Year: 2020 PMID: 32318405 PMCID: PMC7113945 DOI: 10.4103/jfmpc.jfmpc_1001_19
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Figure 1Example of search trend on “Google Trends” website comparing five phrases
Figure 2Flow chart for selection of vaccine name
Figure 3Screenshot of a.csv file opened in a spreadsheet software [calculation example: Cell B265 calculated the sum from B2 to B262. Cell B268 calculated the sum of cells for the weekly data ranging from 1st June 2014 to 31st May 2015]
Demographics of the research participants
| Parameters | Values | ||
|---|---|---|---|
| Age (years) (mean±SD) | 32±9.02 | - | |
| Age range ( | 18-22 | 2 | 0.99 |
| 23-27 | 3 | ||
| 28-32 | 3 | ||
| 33-37 | 3 | ||
| 38-42 | 2 | ||
| 43-47 | 2 | ||
| Sex ( | Male | 9 | 0.61* |
| Female | 6 | ||
| Marital status ( | Unmarried | 5 | 0.04 |
| Married | 9 | ||
| Divorced | 1 | ||
| Child/Children ( | None | 3 | 0.82 |
| Planning pregnancy | 2 | ||
| Pregnant | 2 | ||
| 21 days after delivery | 3 | ||
| Having baby below 1 year | 1 | ||
| Having baby 1 year and above | 4 | ||
| Educational level ( | Up to class 10 | 1 | 0.29 |
| Class 10-below class 12 | 1 | ||
| Class 12-below Graduation | 3 | ||
| Graduation-below post-graduation | 4 | ||
| Post-graduation-below post-doctoral | 5 | ||
| Post-doctoral | 1 | ||
| Internet use ( | <5 years | 2 | 0.25 |
| 5-10 years | 7 | ||
| >10 years | 6 | ||
*P of Binomial test, all other P values are of Chi-square test, SD: Standard deviation, n: number, -: value not obtainable
Figure 4Five-year relative search volume in percentage for vaccine-related queries from Google trends
Year-wise relative search volume
| Year | When | Where | Cost | Side effect | Schedule | χ2, |
|---|---|---|---|---|---|---|
| 2014-2015 | 1393 | 650 | 1056 | 124 | 1951 | 1880, <0.0001* |
| 2015-2016 | 1302 | 631 | 1162 | 150 | 1790 | 1589, <0.0001* |
| 2016-2017 | 1430 | 644 | 1320 | 162 | 2032 | 1890, <0.0001* |
| 2017-2018 | 1675 | 785 | 1496 | 180 | 2457 | 2302, <0.0001* |
| 2018-2019 | 2325 | 957 | 1684 | 204 | 3020 | 2994, <0.0001* |
| ANOVA F, P | 38.18, <0.0001† | 48.58, <0.0001† | 95.12, <0.0001† | 29.28, <0.0001† | 71.81, <0.0001† | - |
| 2014-2019 | 8125 | 3667 | 6718 | 820 | 11250 | 10595, <0.0001* |
*Statistically significant P value of Chi-square test of the data across the row, †Statistically significant P-vale of ANOVA of the data across the column, mean and SD are not shown here
Figure 5Year-wise relative search volume ranging from mid-2014 to mid-2019
Figure 6Country-wise relative search volume (a) for “when,” (b) for “where,” (c) for “cost,” (d) for “side effect,” and (e) for “schedule”