| Literature DB >> 33104003 |
Tae Heum Park1, Woo Il Kim1, Suyeon Park2, Jaeouk Ahn3, Moon Kyun Cho1, Sooyoung Kim1.
Abstract
BACKGROUND: Acne vulgaris is a common skin disease primarily affecting young adults. Given that the internet has become a major source of health information, especially among the young, the internet is a powerful tool of communication and has a significant influence on patients.Entities:
Keywords: Google; acne vulgaris; cosmetics; dermatology; diet; infodemiology; infoveillance; internet
Year: 2020 PMID: 33104003 PMCID: PMC7652686 DOI: 10.2196/19427
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Figure 1Temporal trends in searches for acne: (A) Google Trends time data (15 years). The search volume index (0 to 100) represents the search volumes relative to the total number of Google searches. (B) Google Trends time data (90 days). The horizontal bars indicate weekends.
Acne vulgaris search volume and personal income in cities and provinces.
| Cities and provinces | Search volume | Personal income (annual, KRW) | Private consumption (annual, KRW) |
| Seoul | 100 | 21,429,000 | 20,211,000 |
| Incheon | 91 | 17,550,000 | 14,486,000 |
| Daegu | 88 | 17,568,000 | 15,682,000 |
| Gwangju | 81 | 17,343,000 | 16,122,000 |
| Jeju | 79 | 17,464,000 | 15,107,000 |
| Gyeongsangnam-do | 78 | 16,864,000 | 14,735,000 |
| Daejeon | 77 | 18,454,000 | 16,286,000 |
| Busan | 76 | 18,332,000 | 16,208,000 |
| Chungcheongnam-do | 75 | 17,613,000 | 14,047,000 |
| Jeollanam-do | 75 | 15,938,000 | 14,112,000 |
| Gyeonggi-do | 74 | 18,580,000 | 15,786,000 |
| Gyeongsangbuk-do | 74 | 16,504,000 | 14,395,000 |
| Gangwon-do | 74 | 16,583,000 | 14,957,000 |
| Ulsan | 73 | 19,912,000 | 16,494,000 |
| Jeollabuk-do | 71 | 16,848,000 | 14,194,000 |
| Chungcheongbuk-do | 71 | 17,030,000 | 14,381,000 |
Figure 2Regional trends in internet searches for acne.
Acne vulgaris search volume and population composition in cities and provinces.
| Search volume | Ratio of the population in the age range, % | ||||||||
| 2018 | 2017 | 2016 | 10s to 20s | 10s | 10s to 20s | 10s | 10s to 20s | 10s | |
| Seoul | 100 | 100 | 89 | 23.60 | 8.76 | 23.76 | 9.08 | 23.94 | 9.41 |
| Incheon | 83 | 81 | 95 | 23.76 | 9.89 | 24.13 | 10.23 | 24.40 | 10.58 |
| Daegu | 88 | 80 | 75 | 23.58 | 10.14 | 24.00 | 10.58 | 24.31 | 11.03 |
| Gwangju | 73 | 82 | 69 | 25.88 | 11.78 | 26.19 | 12.28 | 26.48 | 12.77 |
| Jeju | 90 | 78 | 100 | 23.30 | 11.05 | 23.53 | 11.39 | 23.74 | 11.81 |
| Gyeongsangnam-do | 77 | 80 | 80 | 21.93 | 10.25 | 22.31 | 10.56 | 22.68 | 10.90 |
| Daejeon | 82 | 69 | 99 | 25.13 | 10.77 | 25.43 | 11.18 | 25.67 | 11.62 |
| Busan | 73 | 70 | 65 | 21.53 | 8.61 | 21.95 | 8.93 | 22.31 | 9.30 |
| Chungcheongnam-do | 70 | 70 | 88 | 21.73 | 10.04 | 22.05 | 10.32 | 22.35 | 10.61 |
| Jeollanam-do | 76 | 76 | 81 | 20.73 | 9.75 | 21.04 | 10.11 | 21.34 | 10.50 |
| Gyeonggi-do | 77 | 72 | 76 | 23.97 | 10.59 | 24.33 | 10.96 | 24.59 | 11.32 |
| Gyeongsangbuk-do | 81 | 69 | 71 | 20.37 | 9.16 | 20.80 | 9.45 | 21.22 | 9.80 |
| Gangwon-do | 80 | 66 | 73 | 21.58 | 9.72 | 22.12 | 10.12 | 22.46 | 10.54 |
| Ulsan | 63 | 73 | 68 | 23.79 | 10.52 | 24.36 | 10.89 | 24.86 | 11.32 |
| Jeollabuk-do | 74 | 64 | 72 | 22.23 | 10.39 | 22.64 | 10.78 | 22.90 | 11.13 |
| Chungcheongbuk-do | 85 | 73 | 58 | 22.55 | 10.27 | 22.92 | 10.40 | 23.24 | 10.79 |
Frequently searched relevant keywords determined by text mining.
| Topic | Naver | ||
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| Stress | 371,735 | 1,520,000 |
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| Food | 265,991 | 1,890,000 |
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| Cosmetics | 29,249 | 6,630,000 |
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| Milk | 57,135 | 478,000 |
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| Flour | 57,161 | 167,000 |
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| Coffee | 27,005 | 1,460,000 |
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| Ramen | 4285 | 1,370,000 |
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| Toner | 334,502 | 6,020,000 |
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| Lotion | 332,153 | 814,000 |
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| Cleansing foams | 57,135 | 472,000 |
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| Essences | 68,667 | 1,250,000 |
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| Lasers | 168,750 | 1,250,000 |
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| Antibiotics | 54,363 | 184,000 |
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| Fraxel laser | 40,542 | 154,000 |
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| Photodynamic therapy | 29,933 | 125,000 |
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| Toning laser | 18,613 | 428,000 |
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| Intense pulsed light | 16,379 | 280,000 |
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| LED | 1378 | 316,000 |
Risk cases for dissemination of unverified facts.
| Source or harm | Example |
| Anaki | The Naver Café, with a membership as high as 60,000 people, caused problems with the dissemination of unfounded medical information, such as neglecting children’s illness, refusing vaccinations, throwing chicken pox parties, and selling untested medicines. |
| Anyemo | This antivaccine movement website refused vaccinations without any reasonable evidence, which could cause pandemics of infectious diseases. |
| Measles epidemic in the United States | The measles epidemic in the United States has greatly increased because of the decrease in vaccination resulting from unfounded stories about vaccination spread through social media platforms such as Facebook. |