Google Trends: Opportunities and limitations in health and health policy research

A surge of interest: Analysing the increased public interest in lipedema using google trends

AIM

This study aimed to monitor public interest in information related to Lipedema and examine potential temporal, seasonal, and income-related trends that may impact public interest.

MATERIAL – METHODS

A dataset was created using the Google Trends tool by inputting the keyword "Lipedema" to obtain the relative search volume (RSV) from 2004 to the present in the United States (US). To examine potential income-related disparities in public interest in Lipedema across the US, RSV values were recorded in the five states with the highest and the lowest median income (Maryland, New Hampshire, New Jersey, Utah, and Washington and Mississippi, West Virginia, Arkansas, New Mexico, Kentucky, respectively).

RESULTS

Public interest in Lipedema increased significantly over time (R2 = 0.693, p < .001 for the linear trend; R2 = 0.880, p < .001 for the quadratic trend). There were no significant differences between the RSV values between the month of the year and the season of the year (p = 1.000 and p = .859, respectively). RSV values of the five highest-income and low-income states showed significant increases (R2 = 0.333, p < .001, and R2 = 0.195, p < .001, respectively) More rapid growth in interest in Lipedema in states with high income compared to the states with low income (p < .001).

CONCLUSION

Public interest in Lipedema is increasing in both high-income and low-income states. States with higher incomes are more interested. Searches for lipedema are expected to become more frequent, leading to a rising demand for comprehensive education in medical schools and clinician training programs. In addition, there will also be a need for easily accessible, high-quality information resources.

Influence of Breast Cancer Awareness Month on Public Interest of Breast Cancer in High-Income Countries Between 2012 and 2022: Google Trends Analysis

BACKGROUND

Breast cancer is the most common cancer among women worldwide. High-income countries have a greater incidence and mortality rate of breast cancer than low-income countries. As a result, raising awareness about breast cancer is crucial in increasing the chances of early detection and treatment. Social media has evolved into an essential tool for Breast Cancer Awareness Month campaigns, allowing people to share their breast cancer stories and experiences while also providing a venue for education and support.

OBJECTIVE

The aim of this study was to assess the level of public interest in searches linked to breast cancer among a sample of high-income nations with a sizable internet user base from 2012 to 2022. We also sought to compare the proportional search volume for breast cancer during Breast Cancer Awareness Month with that during other months of the year.

METHODS

Google Trends was used to retrieve data on internet user search behaviors in the context of breast cancer from 2012 to 2022. Seven countries were evaluated in this study: Australia, Canada, Ireland, New Zealand, the United Kingdom, Saudi Arabia, and the United States, in addition to global data. Breast cancer relative search volume trends were analyzed annually, monthly, and weekly from 2012 to 2022. The annual percent change (APC) was calculated for each country and worldwide. Monthly and weekly data were used to identify potential trends.

RESULTS

A fluctuating pattern in APC rates was observed, with a notable increase in 2018 and a significant decrease in 2020, particularly in Saudi Arabia. Monthly analysis revealed a consistent peak in search volume during October (Breast Cancer Awareness Month) each year. Weekly trends over a 20-year period indicated significant decreases in Australia, Canada, New Zealand, and the United States, while increases were noted in Ireland. Heatmap analysis further highlighted a consistent elevation in median search volume during October across all countries.

CONCLUSIONS

These findings underscore the impact of Breast Cancer Awareness Month and suggest potential influences of governmental COVID-19 pandemic control measures in 2020 on internet search behavior.

Patient Demand for Ophthalmologists in the United States: A Google Trends Analysis

PURPOSE

To study geographic patterns in ophthalmologist supply and patient demand for services in the United States.

METHODS

Google Trends data for the keywords "ophthalmology" and "ophthalmologist" between 2004 and 2019 were queried and normalized to determine relative search volumes (RSV) for each United States state. Ophthalmologist density was calculated by dividing the number of practicing ophthalmologists by the State Census Bureau population estimates. RSV values were divided by ophthalmologist density and normalized to calculate the relative demand index (RDI) for each state. The number of accredited ophthalmology programs per state was acquired through the Accreditation Council for Graduate Medical Education.

RESULTS

Ophthalmologist concentration was highly heterogeneous across the country. The states with the highest concentration of ophthalmologist per 10,000 people were Washington, DC (1.42), Maryland (0.94), Massachusetts (0.87), and New York (0.86), while the lowest were Wyoming (0.19), Idaho (0.36), New Mexico (0.38), and Nevada (0.39). RSVs ranged from 36 (Alaska and North Dakota) to 100 (Michigan). The highest RDI was found in South Dakota (100), Delaware (84), Michigan (66), and Arizona (56). The lowest RDI was in Washington, DC (0), Hawaii (7), Oregon (8), and Montana (14). The highest number of ophthalmology residency programs were in New York (18), Texas (9), and California (9), whereas 12 states lacked residency programs altogether.

CONCLUSIONS

In this study, we found a wide range in the geographic distribution of ophthalmologists and residency programs in the United States. States with the highest relative demand index may represent areas most at risk of unmet medical needs.

Search traffic for inflatable penile prosthesis increased following the COVID-19 pandemic in the United States: a Google Trends analysis

We aimed to determine the impact of the COVID-19 pandemic on search trends for inflatable penile implants in the US. Search trends for inflatable penile implants ranging from 2016 through 2023 were analyzed utilizing Google Trends. Associations between search trends and US Census Bureau data, including average household income and per capita income, were analyzed. Pre- and post- COVID-19, the interest in inflatable penile implants has been steadily increasing on average in the US. The average household income for counties with the highest interest in inflatable penile implants during the pre-COVID era was $53,136, whereas for the counties with the highest interest in inflatable penile implants in the post-COVID era, the average decreased to $50,940. Similarly, the average per capita median decreased from $35,209 to $34,547. Search traffic for inflatable penile prosthesis increased following the pandemic in the US. Nevertheless, post-pandemic, individuals with lower income levels showed no change in interest in penile implant searches compared to the pre-pandemic period. Understanding this steadiness in interest can inform healthcare professionals and policymakers to tailor interventions and educational efforts to reach a broader audience, ensuring equitable access to information and healthcare resources.

Global Trends in Kidney Stone Awareness: A Time Series Analysis from 2004-2023

BACKGROUND

Despite the prevalence and incidence of kidney stones progressively increasing worldwide, public awareness of this condition remains unclear. Understanding trends of awareness can assist healthcare professionals and policymakers in planning and implementing targeted health interventions. This study investigated online search interest in "kidney stone" by analyzing Google Trends, focusing on stationarity of the trends and predicting future trends.

METHODS

We performed time series analysis on worldwide Google monthly search data from January 2004 to November 2023. The Augmented Dickey-Fuller (ADF) test was used to assess the stationarity of the data, with a p-value below 0.05 indicating stationarity. Time series forecasting was performed using the autoregressive integrated moving average to predict future trends.

RESULTS

The highest search interest for "kidney stone" (score 100) was in August 2022, while the lowest was in December 2007 (score 36). As of November 2023, search interest remained high, at 92. The ADF test was significant (p = 0.023), confirming data stationarity. The time series forecasting projected continued high public interest, likely reflecting ongoing concern and awareness. Notably, diverse regions such as Iran, the Philippines, Ecuador, the United States, and Nepal showed significant interest, suggesting widespread awareness of nephrolithiasis.

CONCLUSION

This study highlighted that "kidney stone" is a consistently relevant health issue globally. The increase and stationarity of search trends, the forecasted sustained interest, and diverse regional interest emphasize the need for collaborative research and educational initiatives. This study's analysis serves as a valuable tool for shaping future healthcare policies and research directions in addressing nephrolithiasis related health challenges.

Public and Research Interest in Telemedicine From 2017 to 2022: Infodemiology Study of Google Trends Data and Bibliometric Analysis of Scientific Literature

BACKGROUND

Telemedicine offers a multitude of potential advantages, such as enhanced health care accessibility, cost reduction, and improved patient outcomes. The significance of telemedicine has been underscored by the COVID-19 pandemic, as it plays a crucial role in maintaining uninterrupted care while minimizing the risk of viral exposure. However, the adoption and implementation of telemedicine have been relatively sluggish in certain areas. Assessing the level of interest in telemedicine can provide valuable insights into areas that require enhancement.

OBJECTIVE

The aim of this study is to provide a comprehensive analysis of the level of public and research interest in telemedicine from 2017 to 2022 and also consider any potential impact of the COVID-19 pandemic.

METHODS

Google Trends data were retrieved using the search topics "telemedicine" or "e-health" to assess public interest, geographic distribution, and trends through a joinpoint regression analysis. Bibliographic data from Scopus were used to chart publications referencing the terms "telemedicine" or "eHealth" (in the title, abstract, and keywords) in terms of scientific production, key countries, and prominent keywords, as well as collaboration and co-occurrence networks.

RESULTS

Worldwide, telemedicine generated higher mean public interest (relative search volume=26.3%) compared to eHealth (relative search volume=17.6%). Interest in telemedicine remained stable until January 2020, experienced a sudden surge (monthly percent change=95.7%) peaking in April 2020, followed by a decline (monthly percent change=-22.7%) until August 2020, and then returned to stability. A similar trend was noted in the public interest regarding eHealth. Chile, Australia, Canada, and the United States had the greatest public interest in telemedicine. In these countries, moderate to strong correlations were evident between Google Trends and COVID-19 data (ie, new cases, new deaths, and hospitalized patients). Examining 19,539 original medical articles in the Scopus database unveiled a substantial rise in telemedicine-related publications, showing a total increase of 201.5% from 2017 to 2022 and an average annual growth rate of 24.7%. The most significant surge occurred between 2019 and 2020. Notably, the majority of the publications originated from a single country, with 20.8% involving international coauthorships. As the most productive country, the United States led a cluster that included Canada and Australia as well. European, Asian, and Latin American countries made up the remaining 3 clusters. The co-occurrence network categorized prevalent keywords into 2 clusters, the first cluster primarily focused on applying eHealth, mobile health (mHealth), or digital health to noncommunicable or chronic diseases; the second cluster was centered around the application of telemedicine and telehealth within the context of the COVID-19 pandemic.

CONCLUSIONS

Our analysis of search and bibliographic data over time and across regions allows us to gauge the interest in this topic, offer evidence regarding potential applications, and pinpoint areas for additional research and awareness-raising initiatives.

Evaluating Global and Temporal Trends in Pancreas and Islet Cell Transplantation: Public Awareness and Engagement

BACKGROUND

Pancreas transplantation is a crucial surgical intervention for managing diabetes, but it faces challenges such as its invasive nature, stringent patient selection criteria, organ scarcity, and centralized expertise. Despite the steadily increasing number of pancreas transplants in the United States, there is a need to understand global trends in interest to increase awareness of and participation in pancreas and islet cell transplantation.

METHODS

We analyzed Google Search trends for "Pancreas Transplantation" and "Islet Cell Transplantation" from 2004 to 14 November 2023, assessing variations in search interest over time and across geographical locations. The Augmented Dickey-Fuller (ADF) test was used to determine the stationarity of the trends (p < 0.05).

RESULTS

Search interest for "Pancreas Transplantation" varied from its 2004 baseline, with a general decline in peak interest over time. The lowest interest was in December 2010, with a slight increase by November 2023. Ecuador, Kuwait, and Saudi Arabia showed the highest search interest. "Islet Cell Transplantation" had its lowest interest in December 2016 and a more pronounced decline over time, with Poland, China, and South Korea having the highest search volumes. In the U.S., "Pancreas Transplantation" ranked 4th in interest, while "Islet Cell Transplantation" ranked 11th. The ADF test confirmed the stationarity of the search trends for both procedures.

CONCLUSIONS

"Pancreas Transplantation" and "Islet Cell Transplantation" showed initial peaks in search interest followed by a general downtrend. The stationary search trends suggest a lack of significant fluctuations or cyclical variations. These findings highlight the need for enhanced educational initiatives to increase the understanding and awareness of these critical transplant procedures among the public and professionals.

Media Search Frequency, Source Credibility About e-Cigarette Health Information, and Motivation to Quit EC Among University Students in Chengdu, China

Purpose

E-cigarettes (ECs) are gaining popularity among young people. This study aimed to assess university student vapers' search frequency and source credibility of commonly used media in China, and their association with daily EC users' motivation to quit EC use.

Participants and Methods

This was a cross-sectional study involving an online quantitative survey in six universities in Chengdu, China. Participants answered questions on their EC use patterns, motivation to quit EC, use frequency and source credibility of media use. Hierarchical linear regression analyses were performed to determine the association between media search frequency and source credibility concerning EC health information with the motivation to quit EC.

Results

There were a total of 325 participants (Mean age = 20.43, SD = 1.333). Video platforms and social media were ranked frequently used by the participants and were deemed to be more trustworthy. Perceived trustworthiness of online media was the most influential predictor of motivation to quit EC. Those who reported a higher frequency of accessing video platforms and medical health applications recorded higher motivation to quit EC use. Source credibility of news portals were associated higher motivation to quit EC. The association between higher nicotine dependence and lower motivation to quit EC was attenuated when media source credibility and trustworthiness of online media were added into the fully adjusted regression models.

Conclusion

There is an association between media use frequency and source credibility to search for EC health information and motivation to quit vaping. More studies could be conducted to examine the effects of media use content on perceptions towards vaping and their motivation to quit vaping.

Public Interest in Acetyl Hexapeptide-8: Longitudinal Analysis

BACKGROUND

Acetyl hexapeptide-8, also known as Argireline, is a topical, short-acting, synthetic peptide that has recently gained popularity for its antiwrinkle effects. This agent has emerged as a more accessible alternative to botulinum neurotoxin.

OBJECTIVE

This study evaluates the public interest in acetyl hexapeptide-8 in the United States from 2013 to 2023, as described by search volume on Google, the most-used search engine.

METHODS

We analyzed the longitudinal relative monthly search volume from January 1, 2013, to January 1, 2023, for acetyl hexapeptide-related terms. We compared the internet search trends for "Botox" during this period to "Argireline."

RESULTS

The terms "Argireline" and "Botox in a Bottle" both had substantial increases in search volume in 2022. Although its search volume is drastically increasing, "Argireline" was less searched than "Botox," which had a stable, up-trending search volume over the past decade.

CONCLUSIONS

The increasing interest in acetyl hexapeptide-8 may be due to its cost-effectiveness and use as a botulinum neurotoxin alternative. Affordability, over-the-counter availability, and ease of self-application of the agent suggest its potential to enhance accessibility to cosmetic dermatologic care.

Online searches for hepatocellular carcinoma drugs mirror prescription trends across specialties and changes in guideline recommendations

Background & aims

The treatment options for systemically progressed hepatocellular carcinoma (HCC) have significantly expanded in recent years. In this study, we aimed to evaluate the potential of Google searches as a reflection of prescription rates for HCC drugs in the United States (US).

Methods

We conducted an in-depth analysis of US prescription data obtained from the IQVIA National Prescription Audit (NPA) and corresponding Google Trends data from January 2017 to December 2022. We focused on drugs used in the first line and second or later treatment lines for HCC, collecting data on their prescriptions and search rates. Search volumes were collected as aggregated search queries for both generic drugs and their respective brand names.

Results

During the study period from Q1 2017 to Q4 2022, monthly prescriptions for drugs used in HCC treatment showed an 173% increase (from 1253 to 3422). Conversely online searches increased by 3.5% (from 173 to 179 per 10 million searches). Notably, strong correlations were observed between search interest and prescriptions for newer drugs, which indicates increasing usage, while older drugs with declining usage displayed limited correlation. Our findings suggest a growing role of non-physician professions in managing systemically progressed HCC within the US healthcare system, although oncologists remained primarily responsible for drug prescriptions.

Conclusions

In conclusion, online search monitoring can offer the potential to reflect prescription trends specifically related to the treatment of HCC. This approach provides a swift and accessible means of evaluating the evolving landscape of HCC treatment.

Hot summers raise public awareness of toxic cyanobacterial blooms

Water quality of eutrophic lakes is threatened by harmful cyanobacterial blooms, which are favored by summer heatwaves and expected to intensify with global warming. Societal demands on surface water for drinking, irrigation and recreation are also highest in summer, especially during dry and warm conditions. Here, we analyzed trends in online searches to investigate how public awareness of cyanobacterial blooms is impacted by temperature in nine different countries over almost twenty years. Our findings reveal large seasonal and interannual variation, with more online searches for harmful cyanobacteria in temperate regions during hot summers. Online searches and media attention increased even more steeply with temperature than the incidence of cyanobacterial blooms, presumably because lakes attract more people during warm weather. Overall, our study indicates that warmer summers not only increase cyanobacterial bloom incidence, but also lead to a pronounced increase of the public awareness of toxic cyanobacterial blooms.

The association between interest of nutritional supplements and COVID-19 pandemic - evidence from Google Trends

BACKGROUND

Due to the spread of the coronavirus disease 2019 (COVID-19) pandemic in 2020, the interest of nutritional supplements has emerged. Limited data are available on how the COVID-19 pandemic affects the search interest in nutritional supplements in Taiwan and worldwide. The study aims to investigate changes in public search interest of nutritional supplements pre- and during the COVID-19 pandemic.

METHODS

Our World in Data dataset was used to collect both global and local (Taiwan) number of COVID-19 newly confirmed cases and deaths. Google Trends search query was being used to obtain relative search volumes (RSVs) covering a timeframe between 2019 to 2022. Spearman's rank-order correlation coefficients were used to measure relationships between confirmed new cases and deaths and RSVs of nutritional supplements. Multivariate analysis was conducted to examine the effect of domestic and global new cases and deaths on the RSVs of nutritional supplements.

RESULTS

The mean RSVs for nutritional supplements were higher during the COVID-19 pandemic period (between 2020 to 2022) compared to the pre-pandemic period (year of 2019) for both Taiwan and worldwide. In terms of seasonal variations, except for vitamin D, the mean RSVs of probiotics, vitamin B complex, and vitamin C in winter were significantly lower compared to other seasons in Taiwan. The RSVs of nutritional supplements were not only affected by domestic cases and deaths but also by global new cases and deaths.

CONCLUSIONS

The interests in nutritional supplements had substantially increased in response to the COVID-19 pandemic. The RSVs of nutritional supplements in Taiwan were not only influenced by global and domestic pandemic severity but also by seasons.

Assessing the performance of ChatGPT's responses to questions related to epilepsy: A cross-sectional study on natural language processing and medical information retrieval

BACKGROUND

Epilepsy is a neurological condition marked by frequent seizures and various cognitive and psychological effects. Reliable information is essential for effective treatment. Natural language processing models like ChatGPT are increasingly used in healthcare for information access and data analysis, making it crucial to assess their accuracy.

OBJECTIVE

This study aimed to investigate the accuracy of ChatGPT in providing educational information related to epilepsy.

METHODS

We compared the answers from ChatGPT-4 and ChatGPT-3.5 to 57 common epilepsy questions based on the Korean Epilepsy Society's "Epilepsy Patient and Caregiver Guide." Two epileptologists reviewed the responses, with a third serving as an arbiter in cases of disagreement.

RESULTS

Out of 57 questions, 40 responses from ChatGPT-4 had "sufficient educational value," 16 were "correct but inadequate," and one was "mixed with correct and incorrect" information. No answers were entirely incorrect. GPT-4 generally outperformed GPT-3.5 and was often on par with or better than the official guide.

CONCLUSIONS

ChatGPT-4 shows promise as a tool for delivering reliable epilepsy-related information and could help alleviate the educational burden on healthcare professionals. Further research is needed to explore the benefits and limitations of using such models in medical contexts.

Public Interest in the Off-Label Use of Glucagon-like Peptide 1 Agonists (Ozempic) for Cosmetic Weight Loss: A Google Trends Analysis

Glucagon-like peptide 1 (GLP-1) agonists are a drug class used for the treatment of diabetes that have recently gained FDA approval for medical management of obesity. The off-label use of Ozempic (Novo Nordisk, Bagsværd, Denmark), the brand name of the GLP-1 agonist semaglutide, for cosmetic weight loss has been popularized by social media and celebrity influence. The aim of this study was to analyze with Google Trends (Alphabet Inc., Mountain View, CA) the recent search popularity of Ozempic and related GLP-1 agonists. The term "Ozempic" was analyzed with Google Trends. Search popularity was assessed in terms of relative search volume (RSV) over a 5-year period. Changes in RSV were further compared with other GLP-1 agonists, "Wegovy" (Novo NordisK) and "Mounjaro" (Eli Lilly and Company, Indianapolis, IN). Between March 2018 and February 2023, overall RSV in "Ozempic" grew exponentially in the United States. Simple linear regression analysis showed significantly increased RSV over time with an R2 of 0.915 and a regression coefficient of 0.957 (P < .001). When comparing "Ozempic," "Wegovy," and "Mounjaro" since June 2021 (FDA approval of Wegovy), Ozempic remained at the greatest RSV. One-way analysis of variance found statistically significant differences between the 3 search terms at all time points between December 2021 and February 2023 (P < .001). This study demonstrates a significant and growing public interest in Ozempic and related GLP-1 agonists. As the use of GLP-1 agonists for weight loss becomes more prevalent, plastic surgeons, particularly in the aesthetic setting, must be prepared for the downstream implications. Increased awareness, understanding, and further scientific studies led by plastic surgeons will help deliver the safest possible patient outcomes.

LEVEL OF EVIDENCE: 3

Towards the Future of Public Health: Roadmapping Trends and Scenarios in the Post-COVID Healthcare Era

The COVID-19 pandemic, a transformative event in modern society, has disrupted routine, work, behavior, and human relationships. Organizations, amidst the chaos, have innovatively adapted to the evolving situation. However, many countries were unprepared for the magnitude of the challenge, revealing the fragility of health responses due to inadequate leadership, insufficient resources, and poor information system integration. Structural changes in health systems are imperative, particularly in leadership, governance, human resources, financing, information systems, technology, and health service provision. This research utilizes the Technological Roadmapping method to analyze the health sector, focusing on public health, drawing on articles from SCOPUS and PubMed databases, and creating a roadmap extending to 2050. The research presents three long-term scenarios based on the literature-derived roadmap and explores various alternatives, including integrated care, telemedicine, Big Data utilization, nanotechnology, and Big Tech's AI services. The results underscore the anticipation of post-pandemic public health with high expectations, emphasizing the importance of integrating health history access, encouraging self-care, and leveraging technology for streamlined treatment. Practical implications include insights for decision makers and stakeholders to inform strategic planning and adapt to evolving industry demands, recognizing the significance of preventive services and the humanizing potential of technology.

Maximum generable interest: A universal standard for Google Trends search queries

The coronavirus or COVID-19 pandemic represents a health event with far-reaching global consequences, triggering a strong search interest in related topics on the Internet worldwide. The use of search engine data has become commonplace in research, but a universal standard for comparing different works is desirable to simplify the comparison. The coronavirus pandemic's enormous impact and media coverage have triggered an exceptionally high search interest. Consequently, the maximum generable interest (MGI) on coronavirus is proposed as a universal reference for objectifying and comparing relative search interest in the future. This search interest can be explored with search engine data such as Google Trends data. Additional standards for medium and low search volumes can also be used to reflect the search interest of topics at different levels. Size standards, such as reference to MGI, may help make research more comparable and better evaluate relative search volumes. This study presents a framework for this purpose using the example of stroke.

Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence

Background

Colorectal cancer (CRC) is the third most prevalent and second most lethal form of cancer in the world. Consequently, CRC cancer prevalence projections are essential for assessing the future burden of the disease, planning resource allocation, and developing service delivery strategies, as well as for grasping the shifting environment of cancer risk factors. However, unlike cancer incidence and mortality rates, national and international agencies do not routinely issue projections for cancer prevalence. Moreover, the limited or even nonexistent cancer statistics for large portions of the world, along with the high heterogeneity among world nations, further complicate the task of producing timely and accurate CRC prevalence projections. In this situation, population interest, as shown by Internet searches, can be very important for improving cancer statistics and, in the long run, for helping cancer research.

Methods

This study aims to model, nowcast and forecast the CRC prevalence at the global level using a three-step framework that incorporates three well-established univariate statistical and machine-learning models. First, data mining is performed to evaluate the relevancy of Google Trends (GT) data as a surrogate for the number of CRC survivors. The results demonstrate that population web-search interest in the term "colonoscopy" is the most reliable indicator to nowcast CRC disease prevalence. Then, various statistical and machine-learning models, including ARIMA, ETS, and FNNAR, are trained and tested using relevant GT time series. Finally, the updated monthly query series spanning 2004-2022 and the best forecasting model in terms of out-of-sample forecasting ability (i.e., the neural network autoregression) are utilized to generate point forecasts up to 2025.

Results

Results show that the number of people with colorectal cancer will continue to rise over the next 24 months. This in turn emphasizes the urgency for public policies aimed at reducing the population's exposure to the principal modifiable risk factors, such as lifestyle and nutrition. In addition, given the major drop in population interest in CRC during the first wave of the COVID-19 pandemic, the findings suggest that public health authorities should implement measures to increase cancer screening rates during pandemics. This in turn would deliver positive externalities, including the mitigation of the global burden and the enhancement of the quality of official statistics.

Impact of Mental Health Legislation on Public Interest and Awareness of Common Mental Disorders: Insights From an Infodemiological Study of Search Volumes From 2004 to 2021 in the Philippines

ABSTRACT

This study explored online public interest using search volumes for various mental disorders using an infodemiological design. Google Trends search volumes for schizophrenia, bipolar disorder, major depressive disorder, anxiety disorder, and substance abuse from January 2004 to December 2021 in the Philippines were described and compared. In addition, interrupted time series and mean comparisons were done to determine the impact of the Philippine Mental Health Act. Findings show that public interest was highest for major depressive disorder, followed by anxiety disorder, substance abuse, bipolar disorder, and schizophrenia. Among them, public interest in schizophrenia, major depressive disorder, bipolar disorder, and substance abuse improved following the Act's legislation. The uneven stigma of mental disorders and the incomplete implementation and unequal focus of Philippine mental health promotion programs can explain these findings. Thus, mental disorders with low public interest should be given attention in mental health awareness activities.

Analyzing Public Interest in Osteoarthritis and Its Minimally Invasive Treatments: A Google Trends Analysis

Introduction In recent years, online search engines have become a source of information about medical issues. We aimed to evaluate the public's interest in osteoarthritis and minimally invasive treatments of osteoarthritis in the last 10 years using Google Trends (GT). Methods Interventional physiatrist analyzed 14 selected terms (joint pain, joint pain treatment, joint cartilage damage, narrowing of the joint, osteoarthrosis, osteoarthritis, intra-articular injection, intra-articular steroid, intra-articular hyaluronic acid, intra-articular plasma rich platelet (PRP), essential oil for joint pain, joint pain supplements, home remedies for joint pain, and stem cell for joint) related with osteoarthritis and minimally invasive treatments of osteoarthritis in physical medicine and rehabilitation discipline. All keywords were searched in the GT application using the 'all categories,' 'web search,' and 'worldwide' filters. The last 10 years have been divided into two equal parts, each spanning five years (from January 1, 2013 to December 31, 2017, and January 1, 2018 to December 31, 2022). Public interest in the 14 keywords mentioned above was recorded for these two periods, and the GT for all 14 keywords were compared across the two five-year periods. Results Searching rates for the terms 'joint pain,' 'joint pain treatment,' 'joint cartilage damage,' 'narrowing of the joint,' 'osteoarthritis,' 'intra-articular injection,' 'intra-articular PRP,' and 'joint pain supplements' have increased significantly in the last five years (p= 0.001, p= 0.001, p= 0.005, p= 0.001, p= 0.001, p= 0.004, p= 0.001, and p= 0.001, respectively). The average Google Trends (GT) score for all terms was 40 between January 1, 2013, and December 31, 2017, and the average GT score for all terms was 48 between January 1, 2018, and December 31, 2022 (p= 0.001). Conclusion The present study stated that public interest in osteoarthritis and minimally invasive treatments for osteoarthritis has increased significantly in the last five years. Study outcomes demonstrated that public attention to 'joint pain,' 'joint treatment,' 'joint cartilage damage,' 'narrowing of the joint,' 'osteoarthritis,' 'intra-articular injection,' 'intra-articular PRP,' and 'joint pain supplements' has also significantly increased in the last five years.

COVID-19 pandemic and mental health in Spain: An analysis of their relationship using Google Trends

INTRODUCTION

This study aims to examine the public interest that exists on Internet regarding various mental health topics and its relationship with evolution of COVID-19 pandemic in Spain.

MATERIALS AND METHODS

Google Trends was used to explore relative search volume (RSV) for the following terms related with mental health (TRMH): "anxiety", "depression", "stress", "insomnia" and "suicide"; between January and December 2020. The cross-correlation function was performed to assess association between new COVID-19 cases and RSV levels for TRMH. Finally, Mann-Whitney test was used to examine differences between RSV values for TRMH before and after of state of alarm declarations on March and October 2020.

RESULTS

The "anxiety" term showed the highest RSV indices. A significant correlation was found between new COVID-19 cases and RSV for "anxiety" with a time-lag of +1 week (r=0.49; p<.05). Was found an increase of SRV for "anxiety" (U=0.00; p=.01) and a decrease of SRV for "depression" (U=1.00; p=.04) between 4-week period before and after state of alarm of March 2020. Regarding the state of alarm of October 2020, a higher RSV for "anxiety" (U=0.50; p=.02) was found in the four weeks after it compared with a similar previous period.

CONCLUSIONS

Anxiety is the mental health topic of greatest public interest on Internet in context of COVID-19 pandemic. Public concern about anxiety rises one week after the increase in COVID-19 cases and is greater after introduction of control measures that entail any type of mobility restriction or activity limitation. There is a greater general need for information on anxiety at specific times in the pandemic evolution.

Tick-Bite "Meteo"-Prevention: An Evaluation of Public Responsiveness to Tick Activity Forecasts Available Online

Until causal prophylaxis is available, the avoidance of ticks and personal protection provide the best insurance against contracting a tick-borne disease (TBD). To support public precaution, tick-activity forecasts (TAFs) based on weather projection are provided online for some regions/countries. This study-aimed at evaluating the efficacy of this preventative strategy-was conducted between 2015 and 2019, and included two countries where TAFs are issued regularly (Czech Republic, Germany) and two neighbouring countries for reference (Austria, Switzerland). Google Trends (GT) data were used to trace public concern with TAFs and related health information. GTs were compared with epidemiological data on TBD cases and tick bites, wherever available. Computer simulations of presumable effectiveness under various scenarios were performed. This study showed that public access to TAFs/preventive information is infrequent and not optimally distributed over the season. Interest arises very early in midwinter and then starts to fall in spring/summer when human-tick contacts culminate. Consequently, a greater number of TBD cases are contracted beyond the period of maximum public responsiveness to prevention guidance. Simulations, nevertheless, indicate that there is a potential for doubling the prevention yield if risk assessment, in addition to tick activity, subsumes the population's exposure, and a real-time surrogate is proposed.

Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19

BACKGROUND

The COVID-19 outbreak has revealed a high demand for timely surveillance of pandemic developments. Google Trends (GT), which provides freely available search volume data, has been proven to be a reliable forecast and nowcast measure for public health issues. Previous studies have tended to use relative search volumes from GT directly to analyze associations and predict the progression of pandemic. However, GT's normalization of the search volumes data and data retrieval restrictions affect the data resolution in reflecting the actual search behaviors, thus limiting the potential for using GT data to predict disease outbreaks.

OBJECTIVE

This study aimed to introduce a merged algorithm that helps recover the resolution and accuracy of the search volume data extracted from GT over long observation periods. In addition, this study also aimed to demonstrate the extended application of merged search volumes (MSVs) in combination of network analysis, via tracking the COVID-19 pandemic risk.

METHODS

We collected relative search volumes from GT and transformed them into MSVs using our proposed merged algorithm. The MSVs of the selected coronavirus-related keywords were compiled using the rolling window method. The correlations between the MSVs were calculated to form a dynamic network. The network statistics, including network density and the global clustering coefficients between the MSVs, were also calculated.

RESULTS

Our research findings suggested that although GT restricts the search data retrieval into weekly data points over a long period, our proposed approach could recover the daily search volume over the same investigation period to facilitate subsequent research analyses. In addition, the dynamic time warping diagrams show that the dynamic networks were capable of predicting the COVID-19 pandemic trends, in terms of the number of COVID-19 confirmed cases and severity risk scores.

CONCLUSIONS

The innovative method for handling GT search data and the application of MSVs and network analysis to broaden the potential for GT data are useful for predicting the pandemic risk. Further investigation of the GT dynamic network can focus on noncommunicable diseases, health-related behaviors, and misinformation on the internet.

Big data-driven public health policy making: Potential for the healthcare industry

The use of healthcare data analytics is anticipated to play a significant role in future public health policy formulation. Therefore, this study examines how big data analytics (BDA) may be methodically incorporated into various phases of the health policy cycle for fact-based and precise health policy decision-making. So, this study explores the potential of BDA for accurate and rapid policy-making processes in the healthcare industry. A systematic review of literature spanning 22 years (from January 2001 to January 2023) has been conducted using the PRISMA approach to develop a conceptual framework. The study introduces the emerging topic of BDA in healthcare policy, goes over the advantages, presents a framework, advances instances from the literature, reveals difficulties and provides recommendations. This study argues that BDA has the ability to transform the conventional policy-making process into data-driven process, which helps to make accurate health policy decision. In addition, this study contends that BDA is applicable to the different stages of health policy cycle, namely policy identification, agenda setting as well as policy formulation, implementation and evaluation. Currently, descriptive, predictive and prescriptive analytics are used for public health policy decisions on data obtained from several common health-related big data sources like electronic health reports, public health records, patient and clinical data, and government and social networking sites. To effectively utilize all of the data, it is necessary to overcome the computational, algorithmic and technological obstacles that define today's extremely heterogeneous data landscape, as well as a variety of legal, normative, governance and policy limitations. Big data can only fulfill its full potential if data are made available and shared. This enables public health institutions and policymakers to evaluate the impact and risk of policy changes at the population level.

The COVID-19 pandemic and seeking information about condoms online: an infodemiology approach

Objectives: As condoms are effective tools for pathogen-avoidance in sexual intercourse, seeking information about condoms online may be a reactive response to the COVID-19 according to the behavioral immune system theory.Design: Taking an infodemiology perspective, this research employed multilevel analyses to examine how COVID-19 online query data (i.e., Google topic search terms Coronavirus and COVID-19) and coronavirus epidemiological data (i.e., COVID-19 cases per million and case fatality rate) would predict condom information seeking behavior online (i.e., Google topic search term Condom) throughout the pandemic across American states (Study 1) and 102 countries/territories (Study 2), after accounting for death-thought accessibility (i.e., illness-related searches), interest in birth control (i.e., birth-control-related searches), COVID-19 control policy, stay at home behavior, season, religious holidays, yearly trends, autocorrelation, and contextual variables such as HIV prevalence rate and socioeconomic development indicators (GINI index, urbanization, etc.).Results: When there were high levels of COVID-19 concerns in cyberspace in a given week, search volume for condoms increased from the previous week across American states and different countries/territories. By contrast, the effect of actual coronavirus threat was non-significant.Conclusion: Seeking information about condoms online could be a reactive response to high levels of COVID-19 concerns across different populations.

Symptoms trend and challenges in dental practice during delta variance COVID-19 pandemic in Indonesia: Google Trends Analysis

Background: The COVID-19 pandemic has grown to be a serious issue on a global scale. Dental care is one of the industries affected by COVID-19. The surveillance utilizing lifetime data, however, is still not clear. The purpose of this study was to use Google Trends (GT) analysis to examine symptom trends and challenges during the COVID-19 outbreak in Indonesia. Methods: Covid-19 cases retrieve from Our World in Data. The cases were collected between 1 April 2021-30 September 2021. The GT was used to discover Indonesian relative search volume (RSVs) covering the timeframe of the first outbreak covid-19 pandemic in Indonesia on 1 March 2020 until 13 February 2022. The duration of the search was chosen to reflect the relative popularity of the keywords "symptoms and dentistry practice challenge-related terms" and "coronavirus". Results: We observed that there was a significant and positive correlation between the COVID-19 daily case using GT RSV data and the COVID-19 case from Our World in Data. The COVID-19 daily case had a strong correlation with search terms related to symptoms (such as fever, sore throat, flu, toothache, and cough), drugs (such as ibuprofen, paracetamol, demacolin, bodrex, and antibiotic), and health management (such as self-isolation and telemedicine). Conclusion: Using GT may be helpful to observe the current symptoms trends as well as its challenge tendencies as a surveillance tool for a continuing pandemic like COVID-19. GT should be considered and used as it has the potential to be a powerful digital epidemiology tool that can provide more insight into disease dynamics.

Google Trends as a predictive tool in the era of COVID-19: a scoping review

Google Trends has been extensively used in different sectors from finance to tourism, the economy, fashion, the fun industry, the oil trade, and healthcare. This scoping review aims to summarize the role of Google Trends as a monitoring and a predicting tool in the COVID-19 pandemic. Inclusion criteria for this scoping review were original English-language peer-reviewed research articles on the COVID-19 pandemic conducted in 2020 using Google Trends as a search tool. Articles that were in a language other than English, were only in abstract form, or did not discuss the role of Google Trends during the COVID-19 pandemic were excluded. According to these criteria, a total of 81 studies were included to cover the period of the first year after the emergence of the crisis. Google Trends can potentially help health authorities to plan and control pandemics earlier and to decrease the risk of infection among people.

Google searches for stress urinary incontinence treatment options: a worldwide trend analysis in the synthetic mesh controversy era

PURPOSE

To analyze trends in worldwide public interest in the treatment options for stress urinary incontinence around the latest FDA 2019 ban on vaginal mesh for prolapse.

METHODS

We used the web-based tool Google Trends to analyse online searches related to the following terms: 'pelvic floor muscle exercises', 'continence pessary', 'pubovaginal slings', 'Burch colposuspension', 'midurethral slings', 'injectable bulking agents'. Data were expressed as relative search volume on a scale of 0-100. Comparisons of annual relative search volume and average annual percentage change, were analyzed to assess loss or gain of interest. Finally, we assessed the impact of the last FDA alert.

RESULTS

The mean annual relative search volume for midurethral slings was 20% in 2006 and significantly decreased until 8% in 2022 (p < 0.01). A regular decrease interest was recorded for autologous surgeries but a regain of interest for pubovaginal slings was registered since 2020 (+ 2.8%; p < 0.01). Conversely, a steep interest was noted for injectable bulking agents (average annual percentage change: + 4.4%; p < 0.01) and conservative therapies (p < 0.01). When trends were compared before and after the FDA 2019 alert, a lower research volume was found for midurethral slings, while a higher research volume was observed all others treatments (all p < 0.05).

CONCLUSION

The online public researches about midurethral slings have considerably decreased following warnings on the use of transvaginal mesh. There seems to be a growing interest in conservative measures, bulking agents, and recently pubovaginal slings.

Quality and reliability of YouTube videos in Arabic as a source of patient information on prostate cancer

Background

Prostate cancer remains a major public health challenge in the Arab world with few population-based screening programmes, a high incidence of advanced disease at diagnosis, and limited patient access to sub-specialist care. A large number of patients diagnosed with prostate cancer use the (World Wide Web) internet to learn more about the disease and treatment options; however, material in the Arabic language is scarce. This study aims to objectively assess the quality and reliability of the information on YouTube™, which is the most globally used video platform, pertaining to prostate cancer videos published in Arabic.

Methods

A total of 100 videos were identified by searching specific keywords in Arabic (Prostate cancer, prostate cancer treatment and prostate). Retrieved videos were analysed and categorised into four groups according to content as useful, misleading, personal experience, or irrelevant. Useful videos were assessed using the global quality scale (GQS) as a validated measure of quality, which is graded on a 5-point Likert scale, with 1 representing poor quality and 5 representing excellent quality. The modified DISCERN tool was used as a measure of reliability. The tool has a potential total score of 5 points, with higher scores indicating higher reliability.

Results

Most of the speakers in these videos identified themselves as health workers (77%). Only 8% of the videos sources were hospital or medical organisations. Of the 100 retrieved videos, 86% were found to have useful content, while 14% were found to be misleading or irrelevant. The median GQS score of the useful videos was 4 (IQR: 4-5), while the median modified DISCERN tool was 4 (IQR: 3-4).

Conclusion

To our knowledge, this is the first in-depth study to objectively assess the quality and reliability of information pertaining to prostate cancer in the Arabic language on YouTube™. More efforts are needed to improve the quality of prostate cancer educational materials and videos in the Arabic language on YouTube™. Patient focus groups are planned as the next step to address the information gap for patients with prostate cancer in the Arabic language.

Coronavirus-Related Searches on the Internet Predict COVID-19 Vaccination Rates in the Real World: A Behavioral Immune System Perspective

According to the smoke detector and functional flexibility principles of human behavioral immune system (BIS), the exposure to COVID-19 cues could motivate vaccine uptake. Using the tool of Google Trends, we tested that coronavirus-related searches-which assessed natural exposure to COVID-19 cues-would positively predict actual vaccination rates. As expected, coronavirus-related searches positively and significantly predicted vaccination rates in the United States (Study 1a) and across the globe (Study 2a) after accounting for a range of covariates. The stationary time series analyses with covariates and autocorrelation structure of the dependent variable confirmed that more coronavirus-related searches compared with last week indicated increases in vaccination rates compared with last week in the United States (Study 1b) and across the globe (Study 2b). With real-time web search data, psychological scientists could test their research questions in real-life settings and at a large scale to expand the ecological validity and generalizability of the findings.

Changes in digital healthcare search behavior during the early months of the COVID-19 pandemic: A study of six English-speaking countries

Public interest is an important component influencing the likelihood of successfully implementing digital healthcare. The onset of the COVID-19 pandemic allowed us to assess how public interest in digital health changed in response to disruptions in traditional health services. In this study, we used a difference-in-differences approach to determine how digital healthcare search behavior shifted during the early months of the COVID-19 pandemic compared to the same period in 2019 across six English-speaking countries: the United States, Canada, the United Kingdom, New Zealand, Australia, and Ireland. In most cases, we observed that the official declaration of the COVID-19 pandemic on 11 March 2020 was associated with a significant overall increase in the volume of digital healthcare searches. We also found notable heterogeneity between countries in terms of the keywords that were used to search for digital healthcare, which could be explained by linguistic differences across countries or the different national digital health landscapes. Since online searches could be an initial step in the pathway to accessing health services, future studies should investigate under what circumstances increased public interest translates into demand for and utilization of digital healthcare.

Using Google Trends to Estimate the Geographic Distribution of Soil-Transmitted Helminthiasis in the United States from 2016 to 2021

Soil-transmitted helminth infections are assumed to be uncommon in the US, despite numerous studies in the past few decades showing high burdens in Appalachia and the southern states. We assessed trends of interest in the Google search engine to gauge spatiotemporal patterns of potential soil-transmitted helminth transmission. We conducted a further ecological study comparing Google search trends to risk factors for soil-transmitted helminth transmission. Google search trends for terms related to soil-transmitted helminths were clustered in Appalachia and the south, with seasonal surges suggestive of endemic transmission for hookworm, roundworm (Ascaris), and threadworm. Furthermore, lower access to plumbing, increased septic tank use, and more rural environments were associated with increased soil-transmitted helminth-related Google search terms. Together, these results suggest that soil-transmitted helminthiasis remains endemic in parts of Appalachia and the south.

Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology

The high utilization of infodemiological tools for psychiatric and mental health topics signals the emergence of a new discipline. Drawing on the definition of infodemiology by Eysenbach, this emerging field can be termed "psychiatric and mental health infodemiology," defined as the science of distribution and determinants of information in an electronic medium, including the internet, or in a population to inform mental health services and policies. Since Google Trends is one of its popular tools, this minireview describes its advantages, application, methodological considerations, and limitations in psychiatric and mental health research. The advantage of Google Trends is the nature of its data, which may represent the actual behavior rather than their users' stated preferences in real-time through automatic anonymization. As such, it can provide readily available data about sensitive health topics like mental disorders. Therefore, Google Trends has been used to explore public concerns, interests, and behaviors about psychiatric and mental health phenomena, service providers, and specific disciplines. In this regard, several methodological can be considered by studies using Google Trends, including documenting their exact keywords, query category, time range, location, and date of retrieval. Likewise, its limitations should be accounted for in its interpretation, including restricted representation of people who use the Google search engine, limited validity in areas with low internet penetration or freedom of speech, does not provide absolute search volumes, unknown sampled queries, and limited transparency in its algorithm, especially the terms and idioms it subsumes under its "topic" keywords.

The Worldwide Utilization of Online Information about Dementia from 2004 to 2022: An Infodemiological Study of Google and Wikipedia

With the advent of Infodemics about health conditions, including dementia, nurses can engage in infodemiological studies to inform public health services and policies. This infodemiological study described the worldwide utilization of online information for dementia using Google Trends and Wikipedia page views. It found that the utilization of online information about dementia increased and will further increase using Google in succeeding years. Thus, the Internet is an increasingly important medium for dementia information in this age of misinformation and disinformation. Nurse informaticists can perform national infodemiological studies to inform and contextualize online dementia information. Likewise, public health, geriatric, and mental health nurses can collaborate with their communities and patients to address online disinformation and create culturally-appropriate information about dementia.

Unpacking Inequities in ADHD Diagnosis: Examining Individual-Level Race/Ethnicity and State-Level Online Information-Seeking Patterns

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent, persistent, and costly mental health condition. The internet is an increasingly popular source for information related to ADHD. With a nationally representative sample (2018 NSCH), we aimed to separate individual- and state-level effects to examine inequities in ADHD diagnoses. We extracted state-level relative search volumes using "ADHD," "ADHD treatment," "ADHD medication," and "ADHD therapy" from Google Trends, and sociodemographic and clinical variables from the 2018 National Survey of Children's Health (N = 26,835). We examined state variation in ADHD-related information-seeking and applied multilevel modeling to examine associations among individual-level race/ethnicity, state-level information-seeking patterns, and ADHD diagnoses. Online information seeking related to ADHD varies by state and search term. Individual-level racial/ethnic background and state-level information-seeking patterns were associated with ADHD diagnoses; however, their cross-level interaction was not significant. This study adds to the strong body of evidence documenting geographical variation and diagnostic disparity in mental health and the growing literature on the impact of the digital divide on population health, indicating an urgent need for addressing inequities in mental health care. Increasing public interest in and access to empirically supported online information may increase access to care, especially among people of color.

Twin pandemics, intertwined (intergroup) solutions: Support for mitigating racism benefits vaccine hesitancy

The present research examines the potential that support for efforts aimed at mitigating systemic racism might have beneficial consequences related to vaccination attitudes (e.g., vaccine willingness). Specifically, the present research examines the hypothesis that Black Lives Matter (BLM) support is related to reduced vaccine hesitancy, and that prosocial intergroup attitudes are a theoretical mechanism. It tests these predictions across social group lines. Study 1 examined state-level indicators tied to BLM protests and discourse (i.e., Google searches, news reports) and COVID-19 vaccine attitudes among US adult racial/ethnic minority (N = 81,868) and White (N = 223,353) respondents. Then, Study 2 investigated, respondent-level, BLM support (measured at time 1) and general vaccine attitudes (measured at time 2) among US adult racial/ethnic minority (N = 1,756) and White (N = 4,994) respondents. It tested a theoretical process model that included prosocial intergroup attitudes as a mediator. Study 3 tested a replication of the theoretical mediation model using a different sample of US adult racial/ethnic minority (N = 2,931) and White (N = 6,904) respondents. Across studies and social groups (i.e., racial/ethnic minority and White respondents), as well as controlling for demographic and structural covariates, BLM support and state-level indicators were found to be related to lower vaccine hesitancy. And, Studies 2-3 provided some evidence that prosocial intergroup attitudes are a theoretical mechanism; the studies provided evidence of partial mediation. Holistically, the findings have the potential to advance understandings of how support and discourse related to BLM and/or other anti-racism efforts can be associated with positive public health outcomes such as reductions in vaccine hesitancy.

Trends in Online Search Activity and the Correlation with Daily New Cases of Monkeypox among 102 Countries or Territories

Research assessing the trend in online search activity on monkeypox (mpox) and the correlation with the mpox epidemic at the global and national level is scarce. The trend of online search activity and the time-lag correlations between it and daily new mpox cases were estimated by using segmented interrupted time-series analysis and Spearman correlation coefficient (rs), respectively. We found that after the declaration of a Public Health Emergency of International Concern (PHEIC), the proportion of countries or territories with increasing changes in online search activity was lowest in Africa (8.16%, 4/49), and a downward trend in online search activity was highest in North America (8/31, 25.81%). The time-lag effect of global online search activity on daily new cases was significant (rs = 0.24). There were eight countries or territories with significant time-lag effect; the top three countries or territories were Brazil (rs = 0.46), United States (rs = 0.24), and Canada (rs = 0.24). Interest behavior in mpox was insufficient, even after the declaration of PHEIC, especially in Africa and North America. Online search activity could be used as an early indicator of the outbreak of mpox at the global level and in epidemic countries.

Decreasing public interest in social psychiatry: An infodemiological study of worldwide Google search volumes from 2004 to 2021

BACKGROUND

While mental disorder is an 'intrinsically social phenomenon', social psychiatry has been reportedly declining. Addressing public interests in social psychiatry was among the suggestions to address this decline. In recent years, public interest in social psychiatry can be explored using Google Trends, an increasingly important infodemiological tool.

OBJECTIVE

This study determined changes in global online public interest in social psychiatry from January 2004 to December 2021 using Google search volumes.

METHODS

Search query using this keyword, 'Social Psychiatry (Topic)', was made using the Explore feature of Google Trends. The Region and Time Filters were set to 'Worldwide' and January 2004 to December 2021, respectively. Afterward, the search volumes, country ranking, queries, and topics returned by the Google Trends system was described and compared.

RESULTS

There was a generally decreasing trend in search volumes for social psychiatry where it decreased almost 10 times between 2004 and 2021. Only 11 countries were listed in Google Trends' ranking with the top countries including Austria, Germany, and Switzerland. Search-related topics and queries were about social psychiatry related concepts, related academic discipline, human resources, social interventions, and education activities.

CONCLUSIONS

The findings suggest that there is a decreasing public interest in social psychiatry. To improve this, social psychiatry can address public expectation through improving its connection with allied social sciences, increasing its educational activities, and expanding its social intervention services.

A Case of Pharmaceutical Messianism Amidst the COVID-19 Pandemic: An Infodemiological Study of Ivermectin in the Philippines

Pharmaceutical messianism is a manifestation of medical populism. It arises during extraordinary crises, is built on the familiar, endorsed by heterodox authorities, and involves a highly accessible panacea. Amid the politics and public desperation in the Philippines during the COVID-19 pandemic, pharmaceutical messianism can be observed in the form of Ivermectin, a panacea offered to prevent and treat COVID-19. Thus, it may be worthwhile to determine the changes and patterns of public interest toward Ivermectin. This infodemiological study utilized and described Search Volume Index and related queries for Ivermectin from Google Trends vis-à-vis reported societal events in the Philippines to determine changes in public interest in Ivermectin use. It revealed that a tremendous increase in public interest in Ivermectin has emerged during surges of COVID-19 cases, endorsement by politicians and heterodox health authorities, and public distribution of Ivermectin. It also showed that public interest increased as the number of component characteristics of pharmaceutical messianism increased. Search-related queries and topics also showed that the public might be using the internet to inform themselves regarding the use of Ivermectin for humans, including its use for COVID-19. These findings suggest that people may study the endorsed panacea and weigh it against conventional and orthodox treatment during rising COVID-19 cases. Thus, easily understandable, highly searchable, reliable, and trustworthy online information is ever-crucial in this age of information and disinformation.

The Effect of the COVID-19 Pandemic on Digital Health-Seeking Behavior: Big Data Interrupted Time-Series Analysis of Google Trends

BACKGROUND

Due to the emergency responses early in the COVID-19 pandemic, the use of digital health in health care increased abruptly. However, it remains unclear whether this introduction was sustained in the long term, especially with patients being able to decide between digital and traditional health services once the latter regained their functionality throughout the COVID-19 pandemic.

OBJECTIVE

We aim to understand how the public interest in digital health changed as proxy for digital health-seeking behavior and to what extent this change was sustainable over time.

METHODS

We used an interrupted time-series analysis of Google Trends data with break points on March 11, 2020 (declaration of COVID-19 as a pandemic by the World Health Organization), and December 20, 2020 (the announcement of the first COVID-19 vaccines). Nationally representative time-series data from February 2019 to August 2021 were extracted from Google Trends for 6 countries with English as their dominant language: Canada, the United States, the United Kingdom, New Zealand, Australia, and Ireland. We measured the changes in relative search volumes of the keywords online doctor, telehealth, online health, telemedicine, and health app. In doing so, we capture the prepandemic trend, the immediate change due to the announcement of COVID-19 being a pandemic, and the gradual change after the announcement.

RESULTS

Digital health search volumes immediately increased in all countries under study after the announcement of COVID-19 being a pandemic. There was some variation in what keywords were used per country. However, searches declined after this immediate spike, sometimes reverting to prepandemic levels. The announcement of COVID-19 vaccines did not consistently impact digital health search volumes in the countries under study. The exception is the search volume of health app, which was observed as either being stable or gradually increasing during the pandemic.

CONCLUSIONS

Our findings suggest that the increased public interest in digital health associated with the pandemic did not sustain, alluding to remaining structural barriers. Further building of digital health capacity and developing robust digital health governance frameworks remain crucial to facilitating sustainable digital health transformation.

Association between public attention and monkeypox epidemic: A global lag-correlation analysis

The human monkeypox has become a public health problem globally. Google Trends Index (GTI) is an indicator of public attention, being potential for infectious disease outbreak surveillance. In this study, we used lag-correlation analysis to evaluate the spearman correlation coefficients between public attention and monkeypox epidemic by -36 to +36 days-lag in top 20 countries with most cumulated cases until September 30, 2022, the meta-analyses were performed to pool the coefficients of countries among all lags. We also constructed vector autoregression model and Granger-causality test to probe the significance of GTI in monkeypox forecasting. The strongest spearman correlation was found at lag +13 day (r = 0.53, 95% confidence interval: 0.371-0.703, p < 0.05). Meta-analysis showed significantly positive correlation when the lag was from -12 to +36 day, which was most notable on the third posterior day (lag +3 day). The pooled spearman correlation coefficients were all above 0.200 when the lag ranged from +1 to +20 day, and the causality of GTI for daily case was significant in worldwide and multiple countries. The findings suggested a robust association between 13-days-priority GTI and daily cases worldwide. This work introduced a potential monitor indicator on the early warning and surveillance of monkeypox outbreak.

Interplay between Discrete Emotions and Preventive Behavior in Health Crises: Big Data Analysis of COVID-19

Understanding the interplay between discrete emotions and COVID-19 prevention behaviors will help healthcare professionals and providers to implement effective risk communication and effective risk decision making. This study analyzes data related to COVID-19 posted by the American public on Twitter and identifies three discrete negative emotions (anger, anxiety, and sadness) of the public from massive text data. Next, econometric analyses (i.e., the Granger causality test and impulse response functions) are performed to evaluate the interplay between discrete emotions and preventive behavior based on emotional time series and Google Shopping Trends time series, representing public preventive behavior. Based on the textual analysis of tweets from the United States, the following conclusions are drawn: Anger is a Granger cause of preventive behavior and has a slightly negative effect on the public's preventive behavior. Anxiety is a Granger cause of preventive behavior and has a positive effect on preventive behavior. Furthermore, preventive behavior is a Granger cause of anxiety and has a negative and lagging effect on anxiety. Exploring how discrete emotions, such as anger and anxiety, affect preventive behaviors will effectively demonstrate how discrete emotions play qualitatively different roles in promoting preventive behaviors. Moreover, understanding the impact of preventive behaviors on discrete emotions is useful for better risk communication.

Impact of cancer awareness campaigns in Peru: a 5-year Google Trends analysis

Background

The aim of this research was to characterise the interest on the most frequent cancers in Peru through Google Trends, its geographic and temporal relationship with massive awareness campaigns.

Methods

A temporal trends analysis for the last 5 years was carried out, comparing the Relative Search Volume (RSV) with the dates of mass cancer awareness campaigns in Peru. Google Trends application was used to evaluate the interest in the topics: breast, prostate, cervical stomach and colorectal cancer between 1 January 2016 and 31 December 2020, expressed in RSV. The annual RSV for each neoplasm was compared, as well as its annual variation using the Kruskal-Wallis test. The correlation between the RSV and the estimated incidence for each province was measured using the Spearman test.

Results

The topics with the highest RSV were breast (median: 20, range: 6-100) and prostate cancer (median: 28, range: 9-48). The topic 'breast cancer' showed a cyclical punctual increase in October, its awareness month. Searches for cervical, stomach and colorectal cancer were smaller and did not show peaks of interest. It was observed that the RSV was variable when compared with previous years (p < 0.05 for all the evaluated topics). Geographically, different provincial configurations of interest were observed according to neoplasia. When correlating the RSV with the incidence by province, a non-significant positive correlation (p > 0.05) was found for breast, cervical and colorectal cancer.

Conclusions

This study suggests a positive temporal correlation between RSV and awareness cancer campaigns in Peru specially to breast cancer and, to a lesser extent, prostate cancer. Significant variations of interest were demonstrated for each neoplasm among the evaluated years. No significant correlation was found between the incidence rate and the average RSV among Peruvian provinces.

An Analysis by State on The Effect of Movement Control Order (MCO) 3.0 Due to COVID-19 on Malaysians’ Mental Health: Evidence from Google Trends

Due to significant social and economic upheavals brought on by the COVID-19 pandemic, there is a great deal of psychological pain. Google Trends data have been seen as a corollary measure to assess population-wide trends via observing trends in search results. Judicious analysis of Google Trends data can have both analytical and predictive capacities. This study aimed to compare nation-wide and inter-state trends in mental health before and after the Malaysian Movement Control Order 3.0 (MCO 3.0) commencing 12 May 2021. This was through assessment of two terms, “stress” and “sleep” in both the Malay and English language. Google Trends daily data between March 6 and 31 May in both 2019 and 2021 was obtained, and both series were re-scaled to be comparable. Searches before and after MCO 3.0 in 2021 were compared to searches before and after the same date in 2019. This was carried out using the differences in difference (DiD) method. This ensured that seasonal variations between states were not the source of our findings. We found that DiD estimates, β_3 for “sleep” and “stress” were not significantly different from zero, implying that MCO 3.0 had no effect on psychological distress in all states. Johor was the only state where the DiD estimates β_3 were significantly different from zero for the search topic ‘Tidur’. For the topic ‘Tekanan’, there were two states with significant DiD estimates, β_3, namely Penang and Sarawak. This study hence demonstrates that there are particular state-level differences in Google Trend search terms, which gives an indicator as to states to prioritise interventions and increase surveillance for mental health. In conclusion, Google Trends is a powerful tool to examine larger population-based trends especially in monitoring public health parameters such as population-level psychological distress, which can facilitate interventions.

Global utilization of online information for substance use disorder: An infodemiological study of Google and Wikipedia from 2004 to 2022

INTRODUCTION

The increasing number of people who use drugs (PWUDs) can be attributed to the rising online sales of drugs and other related substances. Information on drugs and drug markets has also become easily accessible in web-search engines and social media. Aside from providing direct care, nurses have essential roles in preventing substance use disorder. These roles include health education, liaison, and researcher. Thus, nurses must examine and utilize the Internet, where information and transactions related to these substances are increasing.

DESIGN/METHODS

This study utilized an infodemiological design in exploring the worldwide information utilization for substance use disorder. Data were gathered from Google Trends and Wikimedia Pageview. The data included relative search volumes (RSV), top and rising related queries and topics, and Wikipedia page views between 2004 and 2022. After describing the data, autoregressive integrated mean averaging (ARIMA) models were used to predict future utilization of online information from Google and Wikipedia.

RESULTS

Google trends ranked 37 countries based on the search volumes for substance use disorder. Ethiopia, Finland, the United States, Kenya, and Canada have the highest RSVs, while the lowest-ranked country is Turkey, followed by Mexico, Spain, Japan, and Indonesia. Google searches for substance use disorder-related information increased by more than 900% between 2004 and 2022. In addition, Wikipedia page views for substance use disorder-related information increased by almost 200% between 2015 and 2022. Based on the ARIMA models, RSVs and page views are predicted to increase by about 150% and 120% by December 2025. Top and rising search-related topics and queries revealed that the public increasingly utilized online information to understand specific substances and the possible mental health comorbidities related to substance use disorders. Their recent concerns revolved around diagnostics, specific substances, and specific disorders.

CONCLUSION

The Internet can be of paradoxical use in substance use disorder. It has been previously reported to be increasingly used in drug trades, contributing to the increasing prevalence of substance use disorder. Likewise, the present study's findings revealed that it is increasingly utilized for substance use disorder-related information. Thus, nurses and other healthcare professionals should ensure that online information regarding substance use disorders is accurate and up-to-date.

CLINICAL RELEVANCE

Nurse informaticists can form and lead Internet- and social-media-based health teams that perform national infodemiological investigations to assess online information. In doing so, they can inform, expand, and contextualize ehealth substance use education and strengthen the accessibility and delivery of substance use healthcare. In addition, public health nurses can collaborate to engage patients and communities in identifying harmful substance use disorder information online and creating culturally-appropriate messages that will correct misinformation and improve ehealth literacy, specifically in substance use disorder.

The sum of all SCARES COVID-19 sentiment and asset return

In this study, I constitute a search based COVID-19 sentiment index using Google search volume. I develop an alternative Scared COVID-19 Attitude Revealed by Eager Search (SCARES) index using the household search volume i.e. "coronavirus pandemic", "coronavirus epidemic", and "coronavirus outbreak" of United States (US) during the COVID-19 pandemic. Using daily data from May 1, 2020 to July 30, 2021, I find that SCARES index negatively explains stock market return and subsequent return reversals, implying that households' increased pandemic sentiment negatively affects equity market return. Furthermore, decile regressions on characteristics-sorted portfolio returns show that SCARES index predicts the return reversals of firms that are small, less profitable, and with low investment. I also report that COVID-19 search shocks of households do not significantly predict any of the Fama-French five-factors except SMB (small-minus-big). Moreover, I use two state Markov switching model and find that structural breaks associated with pandemic phases make SCARES positively related to indices i.e. twitter based uncertainty, volatility index, economic policy uncertainty, and business condition in high volatility regime. Finally, sub-period analysis reports that, in stock market context, people start to react slowly and become relatively less responsive to the COVID-19 search keywords. The findings of this paper can assist key stakeholders in the market to carefully analyze the asset return pattern during pandemic regimes.