| Literature DB >> 31616582 |
Matheus Lotto1, Thiago Cruvinel1, Patricia E A Aguirre1, Anna P Strieder1, Agnes F P Cruvinel2.
Abstract
BACKGROUND: The preferences of Web users can be influenced by distinct factors of populations. Hence, hypothetically, source-based patterns of health-related Web searches might differ between individuals from developed and developing countries, due to their distinct educational, social, economic, political, cultural, and psychosocial backgrounds. In this context, this study aimed to determine the trends of toothache-related searches performed on Google Search and YouTube, regarding differences between developed and developing countries.Entities:
Keywords: Health education; Health information; Toothache; eHealth
Year: 2019 PMID: 31616582 PMCID: PMC6790224 DOI: 10.7717/peerj.7706
Source DB: PubMed Journal: PeerJ ISSN: 2167-8359 Impact factor: 2.984
Disability-adjusted life years (DALYs) for countries, country groups and years.
| Australia | 24.67 | 24.62 | 24.60 | 24.68 | 24.91 | 25.27 | 25.74 | 26.31 | 26.95 | 27.64 |
| Chile | 35.09 | 34.80 | 34.65 | 34.60 | 34.58 | 34.56 | 34.54 | 34.54 | 34.55 | 34.57 |
| Japan | 23.59 | 23.33 | 23.19 | 23.15 | 23.10 | 23.06 | 23.04 | 23.02 | 23.04 | 23.09 |
| UK | 36.43 | 36.38 | 36.33 | 36.27 | 36.19 | 36.12 | 36.06 | 36.00 | 35.94 | 35.88 |
| USA | 21.94 | 21.98 | 22.05 | 22.19 | 22.42 | 22.72 | 23.08 | 23.48 | 23.93 | 24.41 |
| Brazil | 32.05 | 32.01 | 31.99 | 32.01 | 32.02 | 32.03 | 32.05 | 32.09 | 32.14 | 32.19 |
| Mexico | 25.99 | 25.76 | 25.64 | 25.60 | 25.56 | 25.53 | 25.51 | 25.49 | 25.48 | 25.48 |
| Russia | 39.86 | 39.67 | 39.45 | 39.21 | 38.93 | 38.64 | 38.35 | 38.05 | 37.76 | 37.49 |
| Saudi Arabia | 21.95 | 22.10 | 22.22 | 22.32 | 22.41 | 22.48 | 22.56 | 22.65 | 22.73 | 22.80 |
| South Africa | 15.78 | 15.67 | 15.62 | 15.60 | 15.58 | 15.55 | 15.52 | 15.50 | 15.49 | 15.50 |
Notes.
Note that there were no significant statistical differences between DALYs of developed and developing countries over time (similar lower superscript letters, Mann–Whitney P > 0.05).
Figure 1Relative Search Volume for toothache-related searches in developed countries in Web (A), developing countries in Web (B), developed countries in YouTube (C) and developing countries in YouTube (D).
Figure 2Autocorrelation (ACF) and Partial autocorrelation (Partial ACF) plots for the monthly variation of RSV toothache.
(A/B) developed countries in Web, (C/D) developed countries in YouTube, (E/F) developing countries in Web, (G/H) developing countries in YouTube.
Mean (±SD) of toothache-related searches performed in Google and YouTube for users from developed and developing countries in different periods.
| 61.74 ± 5.80 | 46.79 ± 20.35 | 16.01 ± 5.56 | 10.91 ± 5.88 | |
| 77.16 ± 3.52 | 63.77 ± 11.75 | 19.37 ± 6.19 | 14.95 ± 5.97 | |
| 79.91 ± 2.84 | 67.92 ± 8.32 | 19.81 ± 7.06 | 15.94 ± 6.40 | |
| 81.86 ± 2.91 | 71.43 ± 5.48 | 21.42 ± 7.69 | 16.71 ± 7.61 | |
| 83.01 ± 4.64 | 73.29 ± 6.27 | 23.70 ± 9.33 | 18.89 ± 9.36 | |
| 87.84 ± 2.50 | 77.78 ± 3.17 | 30.30 ± 19.16 | 25.50 ± 13.47 | |
Notes.
Upper superscript letters indicate significant statistical differences between country groups considering the same engine search. Lower superscript letters indicate significant statistical differences between periods considering the same country group and engine search.
ARIMA model fit statistics.
| Developed Countries | ||||||||
| (0,1,1)(0,1,1) | 2.42 | 3.91 | 0.77 | MA | Lag 1 | 0.60 | 0.07 | <0.01 |
| MA, Seasonal | Lag 1 | 0.53 | 0.08 | <0.01 | ||||
| Developed Countries | ||||||||
| YouTube | ||||||||
| (0,0,0)(0,0,0) | 4.19 | 113.96 | 0.83 | Constant | 13.36 | 0.70 | <0.01 | |
| Developing Countries | ||||||||
| (0,0,0)(1,1,0) | 2.89 | 6.50 | 0.40 | Constant | 0.16 | 0.01 | <0.01 | |
| AR, Seasonal | Lag 1 | −0.48 | 0.08 | <0.01 | ||||
| Developing Countries | ||||||||
| YouTube | ||||||||
| (0,1,1)(0,0,0) | 2.49 | 32.54 | 0.52 | Constant | 0.10 | 0.01 | <0.01 | |
| MA | Lag 1 | 1.00 | 0.04 | <0.01 |
Figure 3Predictive charts demonstrate the variation of RSV in developed countries in Web (A), developed countries in YouTube (B), developing countries in Web (C) and developing countries in YouTube (D).
Note that RSVs presented after 2018 represent 12-month predictive values.
Figure 4Ratio between YouTube and Web searches for developed countries (A) and developing countries (B).