Search Trends Research Articles

Integrating sentiment information for risk prediction: the case of crude oil futures market in China

AbstractThis paper incorporates investor sentiment indexes into the traditional standard heterogeneous autoregressive (HAR) model to improve its power on predicting crude oil futures risk. Using the 5-min high-frequency trading data to construct the daily realized volatility, the original and revised HAR models are used for in-sample regression and out-of-sample forecasting on a daily, weekly, and monthly basis. The results show that the sentiment indexes and the search trend contain incremental information for forecasting the realized volatility of INE crude oil futures in the short and medium term. The search volume is the best indicator for weekly risk forecasting of INE crude oil futures. No robust index can improve the performance of HAR-type model on long-term risk prediction. This paper thus highlights that market participants should select appropriate strategies to minimize risk when volatility is at stake for their decisions.

The Arizona Molecular ISM Survey with the SMT: Survey Overview and Public Data Release

The CO(1–0) line has been carefully calibrated as a tracer of molecular gas mass. However, recent studies often favor higher J transitions of the CO molecule, which are brighter and accessible for redshift ranges where CO(1–0) is not. These lines are not perfect analogs for CO(1–0), owing to their more stringent excitation conditions, and must be calibrated for use as molecular gas tracers. Here, we introduce the Arizona Molecular ISM Survey with the SMT, a multi-CO line survey of z ∼ 0 galaxies conducted to calibrate the CO(2–1) and CO(3–2) lines. The final survey includes CO(2–1) spectra of 176 galaxies and CO(3–2) spectra for a subset of 45. We supplement these with archival CO(1–0) spectra from xCOLD GASS for all sources and additional CO(1–0) observations with the Kitt Peak 12 m Telescope. Targets were selected to be representative of the 109 M ⊙ ≤ M * ≤ 1011.5 M ⊙ galaxy population. Our project emphasized careful characterization of statistical and systematic uncertainties to enable studies of trends in CO line ratios. We show that optical and CO disk sizes are on average equal, for both the CO(1–0) and CO(2–1) line. We measure the distribution of CO line luminosity ratios, finding medians (16th–84th percentile) of 0.71 (0.51–0.96) for the CO(2–1)-to-CO(1–0) ratio, 0.39 (0.24–0.53) for the CO(3–2)-to-CO(1–0) ratio, and 0.53 (0.41–0.74) for the CO(3–2)-to-CO(2–1) ratio. A companion paper presents our study of CO(2–1)'s applicability as a molecular gas mass tracer and search for trends in the CO(2–1)-to-CO(1–0) ratio. Our catalog of CO line luminosities is publicly available.

Significantly Increased Public Interest in Sleep Disorder during the COVID-19 Pandemic: An Analysis of Google Trends Data

Background: The COVID-19 pandemic has had a profound impact on sleep disorders. Previous studies have shown that people's sleep time is delayed. Methods: Analyze the public's interest to the keyword "sleep disorder" during the COVID-19 pandemic from December 2019 to December 2022 using Google Trends. The study also focused on the search trend data of the top three countries with high to low overall search frequency for this keyword. Results: It has been observed that during the peak period of the COVID-19 pandemic, the public's search interest for "sleep disorder" has significantly increased. Analyzing Google Trends from December 2019 to December 2022, the top three countries with high interest in searching for "sleep disorder" are the United States, the Philippines, and Canada. It shows that search interest in the United States is an increasing trend year by year, and the overall trend is relatively stable. The search trend for "sleep disorder" among Filipino netizens fluctuates greatly and is generally on a downward trend. The search trend for "sleep disorder" among Canadian netizens is moderate, and the overall trend is like that of Filipinos. It is worth noting that the Google Trends for "sleep disorder" among Filipino and Canadian netizens has changed from an overall increase to an overall decrease in 2020 as the watershed. This indicates a temporal correlation between the surge in COVID-19 cases and online search for "sleep disorder". Conclusion: It shows that public interest in "sleep disorder" has significantly increased during the COVID-19 pandemic, and there may be a certain correlation between the COVID-19 pandemic and sleep disorders. These are worthy of further exploration by researchers, especially the changes in people's daily routines caused by the COVID-19 pandemic, which in turn affect people's sleep quality.

Association Between School-Related Google Trends Search Volume and Suicides Among Children and Adolescents in Japan During 2016-2020: Retrospective Observational Study With a Time-Series Analysis.

Suicide is the leading cause of death among children and adolescents in Japan. Internet search volume may be useful in detecting suicide risk. However, few studies have shown an association between suicides attempted by children and adolescents and their internet search volume. This study aimed to examine the relationship between the number of suicides and the volume of school-related internet searches to identify the search terms that could serve as the leading indicators of suicide prevention among children and adolescents. We used data on weekly suicides attempted by elementary, middle, and high school students in Japan from 2016 to 2020, provided by the National Police Agency. Internet search volume was weekly data for 20 school-related terms obtained from Google Trends. Granger causality and cross-correlation analysis were performed to estimate the temporal back-and-forth and lag between suicide deaths and search volume for the related terms. The search queries "I do not want to go to school" and "study" showed Granger causality with suicide incidences. The cross-correlation analysis showed significant positive correlations in the range of -2 to 2 for "I do not want to go to school" (highest value at time lag 0, r=0.28), and -1 to 2 for "study" (highest value at time lag -1, r=0.18), indicating that the search volume increased as the number of suicides increased. Furthermore, during the COVID-19 pandemic period (January-December 2020), the search trend for "I do not want to go to school," unlike "study," was highly associated with suicide frequency. Monitoring the volume of internet searches for "I do not want to go to school" could be useful for the early detection of suicide risk among children and adolescents and for optimizing web-based helpline displays.

From Queries to Transformations: A Correlation Analysis of Google Trends Search Data of Cosmetic Dermatologic Surgery.

From Queries to Transformations: A Correlation Analysis of Google Trends Search Data of Cosmetic Dermatologic Surgery.

A not-so healthy glow: a qualitative analysis of sunbed content and viewer engagement on social media.

We conducted informal and formal trend analysis on the term ‘sunbed’ assessing its search popularity, identifying the top-three social media (SM) sites where the term is mentioned, characterising the persons or groups most likely to post about sunbeds and analysing the content that is most frequently being made available in relation to sunbeds. We found a statistically significant increase in the search trend for the term ‘sunbed’ between 2008 and 2023. Whilst Instagram had the most amount of sunbed mentions, TikTok videos had more viewer engagement. TikTok had more influencer-driven sunbed posts than the other SM platforms. Commercial premises posting about sunbed use featured heavily on Instagram (56%) and TikTok (40%). Our study highlights the harmful influence SM can have.

Analyzing Public Interest in Geohazards Using Google Trends Data

This study investigates public interest in geological disasters by analyzing Google Trends data from 2023. This research focuses on earthquakes, hurricanes, floods, tornadoes, and tsunamis to understand how search behaviors reflect public awareness and concern. This study identifies temporal and geographical patterns in search trends. Key findings reveal that public interest spikes during significant disaster events, such as the February 2023 earthquake in Turkey and Syria and the August 2023 hurricanes in the United States. This study highlights the importance of timely and accurate information dissemination for disaster preparedness and response. Google Trends proves to be a valuable tool for monitoring public interest, offering real-time insights that can enhance disaster management strategies and improve community resilience. This study’s insights are essential for policymakers, disaster management agencies, and educational efforts aimed at mitigating the impacts of natural disasters.

Surge in Eye Drop Safety Concerns and Interest in Alternative Dry Eye Disease Therapy Following Eye Drop Recalls: A Cross-Sectional Google Trends Analysis.

Beginning in January 2023, numerous eye drops were recalled following reports of contamination. To investigate hesitancy in topical therapies for dry eye disease (DED), we analyzed trends in Internet search traffic for alternative DED therapies and eye drop safety concerns following initial recalls. Google Trends (GT) was used to measure the popularity of specific search terms during a given time period. The main GT output metric for gauging interest in a search term is the Search Volume Index (SVI). We collected worldwide SVI data for terms "dry eye vitamin," "are eye drops safe," "stop eye drops," "lipiflow," "ilux treatment," "dry eye mask," "dry eye warm compress," "omega-3 for dry eyes," "dry eye plugs," "dry eye humidifier," "itear," and "IPL dry eye" from April 24, 2022, to October 29, 2023. Statistical analysis was performed with Microsoft Excel v.16.77.1, and comparisons between groups were performed using paired t tests. A significant increase in SVI was observed for most keywords. When comparing the 40-week period before and after the initial recall, 7/10 alternative DED therapies demonstrated a statistically significant surge in Internet search traffic after recall (P < 0.05). Furthermore, 2/2 keywords pertaining to eye drop safety concerns demonstrated an increase in SVI (P < 0.0001). We identified a significant surge in Internet search activity for eye drop safety and alternative DED therapies following eye drop recalls. Public health agencies and physicians may find this information valuable while attempting to address safety concerns and navigating noncompliance of routine eye drop therapy.

Identifying Global Awareness of SGLT2 Inhibitors through Google Search Trend Analysis

Identifying Global Awareness of SGLT2 Inhibitors through Google Search Trend Analysis

Identifying Global Awareness of Glucagon-Like Peptide 1 Receptor Agonists (GLP-1 RAs) through Google Search Trend Analysis

Identifying Global Awareness of Glucagon-Like Peptide 1 Receptor Agonists (GLP-1 RAs) through Google Search Trend Analysis

Google Search Trends About Systemic Psoriasis Treatment: What Do People Want to Know About Biologics and Janus Kinase Inhibitors?

This study investigates the most frequently asked questions regarding systemic treatments for psoriasis vulgaris using Google Trends and People Also Asked (PAA) tools, focusing on traditional DMARDs, biologics, and small-molecule inhibitors. Analyzing data from January 31, 2019, to January 31, 2024, Adalimumab was found to have the highest search volume, followed by Apremilast and Methotrexate in their respective categories. Based on Rothwell's Question Classification Criteria, questions about Adalimumab predominantly centered around their technical, factual details and cost of the medication. The study highlights significant public interest in these factors over their safety profile and it is likely influenced by Adalimumab's high direct-to-consumer marketing. Moreover, evaluation of 782 websites showed that potential patients were seeking commercial and government-based websites to learn more about systemic psoriasis treatment. According to the JAMA benchmark criteria, these source types also scored the highest in terms of information quality, while medical practice websites scored the lowest. The findings suggest the need for dermatologists to address factual details such as medication administration scheduling, dietary restrictions, and cost during patient consultations, and to guide patients towards high-quality online resources. Limitations include potential comprehensiveness of questions and evolving medication concerns.

Tracking Public Interest Through Google Trends: Comparative Analysis of Global Movements

This paper examined the digital dynamics of three significant social justice movements: Black Lives Matter (2020), South African unrest (2021), and Mahsa Amini protests (2022) through the lens of Google Trends analysis. By tracking search interest patterns during key events, the study explored how each movement gained momentum and sustained visibility online. The analysis revealed distinct public engagement patterns for each movement: The Black Lives Matter movement experienced global peaks in search interest, with sustained attention driven by discussions on police reform and racial justice. The South African unrest saw sharp, localized spikes in search activity, particularly during moments of heightened tension such as the looting incidents and the government’s deployment of the military. The Mahsa Amini protests demonstrated sustained, high-level interest globally, with search trends reflecting the growing international focus on human rights and state repression in Iran. The findings highlighted how search engines like Google played a pivotal role in amplifying these movements, documenting societal reactions, and shaping the global public discourse. This study underscored the power of digital platforms to reflect and influence the trajectory of social movements across different political and cultural contexts.

From crisis to prevention: mining big data for public health insights during the flint water crisis

This study investigates the utility of Google Trends and Google Search data in retrospectively analyzing the Flint Water Crisis, a significant public health event. By examining keywords relevant to the crisis, such as “lead,” “bottled water,” “water filters,” “pneumonia,” and “Legionnaires’ Disease,” we aimed to uncover patterns in public awareness and response during a public crisis and explore how such awareness and responses could potentially aid in reducing the risk of similar crises in the future. Our analysis reveals a clear correlation between search frequencies and the crisis timeline, with spikes in search terms corresponding to key events. This suggests that such data can serve as a valuable tool for understanding public sentiment and behavior in the face of environmental disasters. The research underscores the potential of “Big Data,” led by search engines and social media platforms, in shaping public policy and informed decision-making. However, it also addresses the limitations and challenges in using these data sources, including issues of data consistency, replicability, and the influence of sociocultural contexts on search behaviors. The study advocates for the combined use of Google Trends and Google Search data, complemented by other datasets, for a more comprehensive understanding of public engagement in environmental crises. This work contributes to the growing field of infodemiology, emphasizing the importance of big data analysis in environmental science and public health research.

From science to society: Exploring the nexus between obesity research and public awareness in Brazil

Raising public awareness about the medical aspects of obesity is crucial in Brazil, given its escalating prevalence. This study investigated the correlation between scientific research on obesity in the country and public awareness by scrutinizing scientific publications and online search trends. Scientific data were sourced from Dimensions, while online engagement data were extracted from Google Trends. Key metrics were analyzed, including scientific publication trends, Altmetrics, news image trends, YouTube trends, and web search trends. Linear regression and the Mann-Kendall test assessed trends, and Principal Component Analysis (PCA) explored dataset variations.Scientific publications on obesity in Brazil consistently increased from 2004 to 2023, reflecting growing scientific interest. The number of publications increased from 300 in 2004 to 7566 in 2022, representing a 25-fold increase. However, web search trends among the general population declined by 79 % during the same period, indicating ineffective "knowledge translation”. Altmetrics and news image trends fluctuated, while YouTube trends exhibited a decline. The disparity between scientific publications and public web search trends highlights the necessity for more efficient scientific information communication.The gap between scientific publishing and public web search trends highlights the need for improved scientific communication. Measures such as formal science communication training for scientists, leveraging social media, embracing arts-based approaches, and nurse advocacy can facilitate informed public discourse and foster interest in obesity-related topics.

Assessing Google Search Trends for Mpox in the United States

Background and Aims: Mpox (formerly Monkeypox) is a zoonotic infectious disease with symptoms of rash, fever, and swollen lymph nodes. The most recent outbreak was reported in May 2022 with the first US case identified in the middle of the same month. Google Trends is a unique tool that quantifies frequencies of a specified search term in real-time, in a given time range, and by geographical location. The present study evaluates the utilisation of Google Trends data in understanding Mpox patterns in the US. Materials and Methods: On 29 September 2023, a Google Trends search was executed to analyse the popularity of the term Mpox for time range of 10 May 2022 to 28 September 2023. Data was exported into MS Excel and matched with the CDC’s Mpox case incidence data. Results: Mpox search was most popular in the District of Columbia (100) followed by Delaware (71), Maryland (70) and Georgia (68), respectively. The popularity scale of 24 was observed 2 days before the first US case was identified which could be attributed to the global rise in cases earlier in May 2022. Although a steep increase in Mpox searches was observed between July and August 2022, the trend aligned with the number of Mpox cases reported to the CDC during the same time frame. Conclusions: Google Trends data, if used in conjunction with other surveillance tools, can help in a better understanding of disease dynamics and may help validate trends obtained through other sources. Since Google Trends monitors and analyses searches in real-time, it can be valuable in establishing a robust action plan.

Zoom Boom or Bust? Understanding Post-Pandemic Interest in Facial Plastic Surgery via Google Trends.

To understand post-pandemic interest in plastic surgery procedures via Joinpoint analysis of Google Trends search data. Google Trends was used to quantify search volumes from January 2019-December 2022 for select cosmetic face and body procedures in the United States. A keyword analytic tool (Keywords Everywhere) extracted absolute search volumes (average monthly searches). Joinpoint analysis assessed search trends over time reported as monthly percentage change (MPC). All procedures queried, including a non-cosmetic control (cataract surgery), demonstrated expected declines at the start of the COVID-19 pandemic. Blepharoplasty, face lift, neck lift, and Botox demonstrated statistically significant increase in search volumes that remained elevated relative to pre-pandemic levels. Rhinoplasty, fillers, and abdominoplasty interest increased initially followed by return to pre-pandemic levels by the end of 2022. The remainder of search terms did not show a clear temporal associated with COVID-19 lockdowns. The "Zoom Boom" appears to be a real phenomenon reflected by sustained increase in public interest in relation to facial plastic procedures. NA Laryngoscope, 2024.

Election Interference and Online Propaganda Campaigns: Dynamic Interdependencies on Facebook, Google Trends, and the New York Times

The relationship between propaganda campaigns, news outlets, and search patterns is of significant interest to political authorities and academic scholars from various disciplines. We explore these dynamic relationships using 3,500 Facebook propaganda advertisements, 167,000 New York Times stories, and hundreds of Google Trends searches for terms from the advertisements and articles in the two years preceding the 2016 US presidential election. The data indicate that propaganda campaigns utilize random content infrequently and instead follow specific Google search patterns. Depending on the subject matter, Facebook advertisements can anticipate the New York Times. In the contexts of immigration, racism, and the LGBT community, such patterns of content adaptation are more prominent. We use the results to provide policy and research recommendations.

Management of retinal diseases, therapeutic association between ophthalmology and endocrinology in the treatment of diabetic retinopathy

Introduction: Effective management of retinal diseases, especially diabetic retinopathy, is crucial for preventing severe visual complications. Collaboration between ophthalmologists and endocrinologists plays a fundamental role in the effective treatment of this condition, aiming to preserve vision and improve patients' quality of life. Methods: A bibliographic review was conducted to understand the management of retinal diseases and the therapeutic association between ophthalmology and endocrinology in the treatment of diabetic retinopathy. We used databases such as MEDLINE, PubMed, and Scielo to identify relevant articles published in the last 20 years. Inclusion and exclusion criteria were defined to ensure the selection of pertinent studies. Results: After the search and selection of articles, patterns and trends in the management of diabetic retinopathy were identified. A variety of treatment options were located, including laser photocoagulation, intravitreal injections of medications, and vitreoretinal surgery. The importance of metabolic control of diabetes to prevent retinal damage was noted. The analysis of the studies also highlighted that the interaction between these specialties ensures better clinical outcomes. Conclusion: The importance of collaboration between ophthalmologists and endocrinologists in the management of diabetic retinopathy is reinforced. An integrated approach that considers both ophthalmological and endocrinological aspects of the disease is essential to provide effective care to patients. This cooperation can result in better visual outcomes and quality of life for those affected by diabetic retinopathy.

53268 Analysis of Google Search Trends on Topical Steroid Withdrawal Syndrome

53268 Analysis of Google Search Trends on Topical Steroid Withdrawal Syndrome

53752 Online Search Trends of Hyperpigmentation-Related Information Among Spanish-Speaking Individuals with Limited English Proficiency in the United States

53752 Online Search Trends of Hyperpigmentation-Related Information Among Spanish-Speaking Individuals with Limited English Proficiency in the United States