Impact of COVID-19 on pornography use: Evidence from big data analyses

Introduction Coronavirus disease 2019 (COVID-19) has led to radical changes in social distancing awareness and affected social relationships. Owing to large-scale lockdown, home quarantine and social distancing requirements, it was anticipated that sexual activities would be severely impacted. However, retrospective self-report studies showed that pornography use and autoerotism increased during the pandemic. Aim This study used big-data databases available on the Internet to investigate factors that modulated pornography use during the pandemic. Methods Daily relative search volume (RSV) data from Google Trends for the period from 24 February 2020 to 13 July 2020 were extracted. Pornhub traffic data were extracted from the Pornhub Insights website, for the period from 24 February 2020 to 13 July 2020. The parameter was defined as ‘percent change in traffic compared to an average day in 2019’. The number of daily new cases of COVID-19 was extracted from the database on Our World in Data. Outcome measures The normality of the data was examined using the Shapiro-Wilk test. All variables included in this study were non-normally distributed. Therefore, non-parametric tests or parametric tests with bootstrapping were adopted where appropriate. Results According to Google Trends, the RSV for ‘pornography’ increased after late March 2020, which is close to the date when the World Health Organization declared COVID-19 a global pandemic. The number of daily new cases of COVID-19 was positively correlated with the traffic of Pornhub, a popular pornography website, and the RSV for ‘pornography’. Moderation analysis demonstrated a significant main effect of daily new cases of COVID-19 and the RSV for ‘social distancing’ in predicting Pornhub traffic/RSV for ‘pornography’. Furthermore, the RSV for ‘social distancing’ significantly moderated the relationship between daily new cases and Pornhub traffic/RSV for ‘pornography’. A stronger COVID-pornography use association was observed with increased social distancing awareness. Conclusion Increased pornography consumption during the pandemic was observed, and it was associated with the severity of the pandemic. Social distancing awareness could be a key factor influencing interest in and use of pornography. Further studies on the changes in sexual desire and birth-rate control are worthwhile because long-term public health may be affected by the changes in sexual behaviour during the pandemic.

The Retrospective Analysis of Google Queries Related to Cardiovascular Diseases Symptoms in the Years 2004–2019

The Internet enables immediate access to health-related information. We aimed to rank the complaints related to cardiovascular diseases among Google users globally and locally as well as investigate secular and seasonal trends in the years 2004 to 2019. We used Google Trends (GT) to identify and analyze course over time and regional interest of seven topics: “Chest pain,” “Cyanosis,” “Edema,” “Orthopnea,” “Palpitation,” “Shortness of breath,” and “Syncope.” We analyzed secular trends using the seasonal Mann–Kendall test and seasonal variation using time series decomposition. We calculated the interest of all topics in proportion to the relative search volume (RSV) of “Chest Pain.” Globally the most popular topics were: “Edema” (proportion to RSV of “Chest pain,” 1.39), “Chest pain” (1.00), and Syncope (0.71). “Chest pain” was predominately searched in n = 25 countries, while “Edema” in n = 24, “Syncope” in n = 9, and “Shortness of breath” in n = 3. The RSV of all topics increases over time and the most dynamically for “Chest pain” (4.30 RSV/year), “Shortness of breath” (3.87 RSV/year), and “Palpitations” (3.69 RSV/year). Interest in “Chest pain,” “Cyanosis,” “Orthopnea,” “Palpitations,” and “Syncope” peaks in fall and winter, while interest in “Edema” in midsummer and “Shortness of breath” in April. Google users were particularly interested in “Edema,” “Chest pain,” and “Syncope.” The interest in cardiovascular diseases-related symptoms increases over time and presents explicable seasonal variations. The Internet plays the acquisition of health-related information; thus, professionals should create and recommend evidence-based information sources for their patients.

Emerging application of Google Trends searches on “conjunctivitis” for tracing the course of COVID-19 pandemic

Purpose: The aim of the present study was to use Google Trends for evaluating the association between the internet searches of the term “conjunctivitis” and the daily new cases of COVID-19. Methods: The relative search volume (RSV) of conjunctivitis from January 1 to April 16, 2019 (control group), January 1 to April 16, 2020 (first wave), and October 1 to December 31, 2020 (second wave) was obtained using Google Trends in Italy, France, United Kingdom, and United States. The number of COVID-19 daily new cases in the same countries were retrieved from Worldometer. Lag time correlation analyses were performed to evaluate the relationship between RSV and daily new cases (Pearson’s correlation coefficient). Results: During the first wave, the lagged RSV of conjunctivitis was significantly correlated with the number of COVID-19 daily new cases in all investigated countries. The highest correlation coefficients were obtained with a lag of 16 days in Italy ( R = 0.868), 18 days in France ( R = 0.491), 15 days in United Kingdom ( R = 0.883), and 14 days in United States ( R = 0.484) (all p < 0.001). Conversely, no significant correlations were found in the second wave and in the control group. Conclusion: Google Trends searches on conjunctivitis were significantly correlated with COVID-19 daily new cases during the first wave in Italy, France, United Kingdom, and United States, with a lag of 14–18 days. Repeating the analysis for the second wave, however, no significant correlations were found in any of the investigated countries.

Analysis of public search interest regarding government containment policy on COVID-19 new cases in Indonesia, Malaysia and Singapore

Background: As preventive measures to curb coronavirus disease 2019 (COVID-19)transmission, Indonesia, Malaysia and Singapore had imposed web-accessible regulations where the popularity of relative internet search volume can be obtained from Google Trends(GT). This research aimed to seek the relationship between public search interest and countries policies, furthermore to observe whether the GT data could be utilized as a tool to make a risk communication during this pandemic. Methods: This retrospective study used GT to analyze the relative search volume (RSV) of keywords large-scale social restrictions (Pembatasan Sosial Berskala Besar – PSBB ), MovementControl Order (MCO) or Perintah Kawalan Pergerakan (PKP) and Circuit Breaker (CB) for Indonesia, Malaysia and Singapore respectively. Daily number of COVID-19 confirmed cases were collected and analyzed using Pearson correlation and time-lag with P<0.05. Every search interest peak and mobility trends changes were qualitatively analyzed. Results: The results exhibited the relationship between the government containment policy, the peaks of analyzed RSV keywords and the mobility trends. The containment policy has significant relationships with COVID-19 daily cases (P<0.05). Conclusion: These results indicated that the government could use GT RSV as a strategy of crisis and risk communication to intervene public behavior towards the pandemic.

Online Search Behavior Related to the COVID-19 Vaccine: An Infodemiology Study (Preprint)

BACKGROUND Vaccination against COVID-19 is an important public health strategy to address the ongoing pandemic. Examination of online search behavior related to the COVID-19 vaccine can provide insights into the public's awareness, concerns, and interest regarding COVID-19 vaccination. OBJECTIVE The goal of this study is to describe online search behavior related to the COVID-19 during the beginning of public vaccination efforts in the US. METHODS We examined Google Trends data from 1-1-2021 through 3-16-2021 to determine the relative search volume (RSV) for vaccine related searches. We also examined search query log data for COVID-19 vaccine-related searches and identified five categories of searches: 1) General or other information, 2) Vaccine availability, 3) Vaccine maker, 4) Vaccine side-effects and safety, and 5) Vaccine myths and conspiracy beliefs. We report on the proportion and trends for these different categories of vaccine-related searches. RESULTS In the first quarter of 2021, the proportion of all online queries that were related to the COVID-19 vaccine increased from approximately 10% to nearly 50% of all COVID-19 related queries (P<.001). The proportion of COVID-19 vaccine queries that addressed vaccine availability increased from 36% to 44% (P =.05) including a particularly notable increase in the proportion of COVID-19 vaccine queries that included the name of a specific pharmacy (5% to 27%, P=.007). Queries related to vaccine side-effects or safety represented fewer than 5% of all searches and queries related to specific vaccine myths and conspiracy belief represented less than 1% of all COVID-19 vaccine-related searches throughout the study period. CONCLUSIONS This study demonstrates an increase in online search behavior related to the COVID-19 vaccine in early 2021 along with an increase in the proportion of these searches that were related to vaccine availability. These findings are consistent with an increase in public interest and intention to vaccinate during the initial phase of public COVID-19 vaccination efforts.

Internet search results correlate with seasonal variation of sarcoidosis

Background The etiology and pathophysiology of sarcoidosis remains unclear, with epidemiologic studies limited by its relatively low prevalence. The internet has prompted patients to seek information about medical diagnoses online; Google Trends provides access to an anonymized version of this data, which has a new role in epidemiology. We hypothesize that there is seasonal variation in the relative search interest of sarcoidosis, which would suggest seasonal variation in the incidence of sarcoidosis. Methods Google Trends was used to assess the relative search volume from 2010 to 2020 for “sarcoidosis” and “sarcoid” in 7 countries. ANOVA with multiple comparisons was performed to compare the mean relative search volume by month and by season for each country, with a p-value less than 0.05 indicating statistical significance. Results Our analysis revealed a significant seasonal variation in search popularity in 4 of the 7 countries and in the Northern Hemispheric countries combined. Direct comparison showed search terms to be more popular in spring, specifically March & April, than in the winter. Southern Hemisphere data was not statistically significant but showed a trend towards a nadir in December and a peak in September and October. Conclusions Overall, these findings suggest seasonal variation with a possible peak in spring and nadir in winter. This supports the hypothesis that sarcoidosis has seasonal variation and is more commonly diagnosed in spring, but more evidence is needed to support this, as well as investigation into the pathophysiology of sarcoidosis to explain this phenomenon.

Male Sexual Health and Sexual Behaviors during the First National COVID-19 Lockdown in a Western Country: A Real-Life, Web-Based Study

Restriction measures enacted during the COVID-19 pandemic had severe effects on male sexual and reproductive health. We aimed to investigate the real-life impact and perception of sexual function in 2020 in Italy, as the first Western country experiencing a national lockdown by measuring relative search volume for keywords pertaining to sexual health and behaviors provided by Google Trends and sales data for pro-erectile treatments. No significant change was observed for erectile dysfunction and premature ejaculation. Interest towards most phosphodiesterase type 5 inhibitors decreased significantly during lockdown (e.g., sildenafil, p = 0.0002; tadalafil p = 0.0016), then reverted to pre-lockdown levels (e.g., sildenafil, p < 0.0001; tadalafil p < 0.0001), mirroring a concomitant sales decrement (p = 0.0292). A subsequent recovery to previous levels at the end of the social confinement was also found (e.g., after vs. before lockdown, sildenafil, p = 0.8459; tadalafil p = 0.1166). During lockdown, interest towards pornography significantly increased during restrictions (p = 0.0053) and remained high (after vs. before lockdown, p = 0.0004), whereas interest towards paid and casual sex declined (p = 0.0015 and p = 0.049, respectively), then reverted to previous levels (after vs. before lockdown, p = 0.3969 and 0.8373, respectively). During the first Italian lockdown, we observed a transient but measurable decrease of sexual health-seeking behaviors and changes in sexual behaviors, with unknown impact for sexual medicine and public health.

Infoveillance of Mucormycosis in India: A Google™ Trends Based Study

India reported highest incidence of Mucormycosis in the past and during the second wave of COVID-19. Google Trends is a potential tool for infoveillance of infectious disease like Mucormycosis. Relative Search Volume (RSV) for term Mucormycosis (+ Black fungus), diabetes, steroid, oxygen, D-dimer (+ferritin) had been extracted from Google Trends for three months (March to May 2021) and state-wise prevalence for Mucormycosis released by Ministry of Health and Family Welfare was used for the analysis. India reported highest RSV for Mucormycosis among the top five countries with COVID-19 cases. RSV peak for oxygen preceded the Mucormycosis spike. Correlation between state-wise prevalence of Mucormycosis and their corresponding RSV was not significant. While a positive correlation was observed between Mucormycosis, diabetes and steroid, it was not statistically significant. Infoveillance using Google trends can serve as a proxy marker for the public health needs and priorities much before actual field surveys.

The Influence of Mass Media on Italian Web Users During COVID-19: An Infodemiological Analysis

Alongside the COVID-19 pandemic, the world has had to face a growing infodemic, which has caused severe damage to economic and health systems and has often compromised the effectiveness of infection containment regulations. Although this has spread mainly through social media, there are numerous occasions in which the mass media have shared dangerous information, giving resonance to statements without a scientific basis. For these reasons, infoveillance and infodemiology methods are increasingly exploited to monitor online information traffic. The same tools have also been used to make epidemiological predictions. Among these, Google Trends - a service by GoogleTM that quantifies the web interest of users in the form of relative search volume - has often been adopted by the scientific community. In this regard, the purpose of this paper is to use Google Trends to estimate the impact of Italian mass media on users' web searches in order to understand the role of press and television channels in both the infodemic and the interest of Italian netizens on COVID-19. In conclusion, our results suggest that the Italian mass media have played a decisive role both in the spread of the infodemic and in addressing netizens' web interest, thus favoring the adoption of terms unsuitable for identifying the novel coronavirus (COVID- 19 disease). Therefore, it is highly advisable that the directors of news channels and newspapers be more cautious and government dissemination agencies exert more control over such news.