Google trends as an early indicator of African swine fever outbreaks in Southeast Asia.

African Swine Fever (ASF) is a reportable disease of swine that causes far-reaching losses to affected countries and regions. Early detection is critically important to contain and mitigate the impact of ASF outbreaks, for which timely available data is essential. This research examines the potential use of Google Trends data as an early indicator of ASF outbreaks in Southeast Asia, focusing on the three largest swine producing countries, namely, Vietnam, the Philippines, and Thailand. Cross-correlation and Kullback-Leibler (KL) divergence indicators were used to evaluate the association between Google search trends and the number of ASF outbreaks reported. Our analysis indicate strong and moderate correlations between Google search trends and number of ASF outbreaks reported in Vietnam and the Philippines, respectively. In contrast, Thailand, the country of this group in which outbreaks were reported last, exhibits the weakest correlation (KL = 2.64), highlighting variations in public awareness and disease dynamics. These findings suggest that Google search trends are valuable for early detection of ASF. As the disease becomes endemic, integrating trends with other epidemiological data may support the design and implementation of surveillance strategies for transboundary animal diseases in Southeast Asia.

Seasonal Trends in Suicide Attempts-Keywords Related Searches: A Google Trends Analysis.

Suicide is a significant public health concern globally, with its varying rates influenced by numerous factors, including seasonal changes. Online search behaviors, particularly searches related to suicide and mental health, have been proposed as real-time indicators of suicidal ideation in populations. In this study, a cross-sectional time series analysis was conducted, utilizing data on suicide attempts from the Polish Police Headquarters and online search behavior from Google Trends over a decade. Suicide attempt data were analyzed alongside the frequency of Google searches for suicide-related keywords derived from the Polish Corpus of Suicide Notes. A total of 66 keywords were selected for analysis to identify seasonal trends and patterns in search behavior. The study employed linear regression, Seasonal Mann-Kendall tests, and TBATS models to analyze the data. Suicide rates show seasonal patterns, peaking in warmer months. However, keyword searches did not strongly correlate with peak suicide months. This study enhances our understanding of suicide-related search trends and their potential connection to suicide rates. It suggests avenues for more effective prevention efforts and the potential for future algorithms to predict suicide rates and identify at-risk groups.

Assessing the impact of small firm dynamics on public mental health amid the pandemic in Latin America.

OBJECTIVE: The aim of our study is to examine the relationship between the economic activity of small firms and the mental well-being of the population in five Latin American countries in the early stages of the pandemic. METHODS: We utilize the search volume of certain keywords on Google Trends (GT), such as "boredom," "frustration," "loneliness," "sleep", "anxiety", and "depression", as an indicator of the well-being of the population. By examining the data from Facebook Business Activity Trends, we investigate how social attention reacts to the activity levels of different economic sectors. RESULTS: Increased business activity is generally associated with reduced levels of boredom, loneliness, sleep problems and anxiety. The effect on depression varies by sector, with positive associations concentrated in onsite jobs. In addition, we observe that strict Non-Pharmaceutical Interventions (NPIs) tend to exacerbate feelings of boredom and loneliness, sleep issues, and anxiety. CONCLUSIONS: Our findings suggest a strong association between different indicators of psychological well-being and the level of activity in different sectors of the economy. Given the essential role of small and medium-sized enterprises (SMEs) in generating employment, especially during crises like the pandemic, it is imperative that they remain resilient and adaptable to support economic recovery and job preservation. To accomplish this, policymakers need to focus on providing financial stability and support for SMEs, fostering social support networks within companies, and incorporating mental health services into workplace environments. This comprehensive strategy can alleviate mental health challenges and enhance public health resilience.

Trending ticks: using Google Trends data to understand tickborne disease prevention.

Introduction: Ticks and pathogens they carry seriously impact human and animal health, with some diseases like Lyme and Alpha-gal syndrome posing risks. Searching for health information online can change people's health and preventive behaviors, allowing them to face the tick risks. This study aimed to predict the potential risks of tickborne diseases by examining individuals' online search behavior. Methods: By scrutinizing the search trends across various geographical areas and timeframes within the United States, we determined outdoor activities associated with potential risks of tick-related diseases. Google Trends was used as the data collection and analysis tool due to its accessibility to big data on people's online searching behaviors. We interact with vast amounts of population search data and provide inferences between population behavior and health-related phenomena. Data were collected in the United States from April 2022 to March 2023, with some terms about outdoor activities and tick risks. Results and Discussion: Results highlighted the public's risk susceptibility and severity when participating in activities. Our results found that searches for terms related to tick risk were associated with the five-year average Lyme Disease incidence rates by state, reflecting the predictability of online health searching for tickborne disease risks. Geographically, the results revealed that the states with the highest relative search volumes for tick-related terms were predominantly located in the Eastern region. Periodically, terms can be found to have higher search records during summer. In addition, the results showed that terms related to outdoor activities, such as "corn maze," "hunting," "u-pick," and "park," have moderate associations with tick-related terms. This study provided recommendations for effective communication strategies to encourage the public's adoption of health-promoting behaviors. Displaying warnings in the online search results of individuals who are at high risk for tick exposure or collaborating with outdoor activity locations to disseminate physical preventive messages may help mitigate the risks associated with tickborne diseases.

Navigating Aesthetic Pursuits: A Google Trends Insight into Cosmetic Tourism.

BACKGROUND: The popularity of cosmetic tourism may increase unnecessary risks for patients as postoperative care is variable. However, little is known about the current trends and public perception of this growing phenomenon. This study compares interest in cosmetic tourism in popular medical tourism destinations relative to the US. METHODS: Google Trends was queried from October 2017 to September 2023, examining trends over the full period and dissecting changes between 2017-2020 and 2020-2023. Search volume data were retrieved for the top international countries and the US for each of the top five cosmetic procedures, according to the ISAPS 2022 Global Survey. A p value < 0.05 was used for statistical significance. RESULTS: Searches for liposuction, blepharoplasty, breast augmentation, mastopexy, and abdominoplasty were compared between the US, Mexico, Turkey, Thailand, and Colombia. Google Trends data mirrored the prevalence of the two most common procedures, liposuction, and breast augmentation. Differences in interest regarding liposuction were greatest in Mexico, Thailand, and Turkey compared to the US (p < 0.05). Medical tourism for blepharoplasty had the highest search interest scores for Turkey and Thailand from 2017 to 2023 (p < 0.05). Significant differences were also consistent across all time intervals for breast augmentation, mastopexy, and abdominoplasty, with higher interest in Mexico and Turkey (p < 0.05). CONCLUSIONS: Google Trends analysis serves as an insightful tool for understanding cosmetic tourism. Changing trends bring the potential to assess worldwide versus country-specific procedure interest. These observed trends may foreshadow future international aesthetic procedure trends. NO LEVEL ASSIGNED: This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Mental health and the ballot box: A correlational analysis of Google searches for mental health and national election periods in the United States and the United Kingdom from 2008 to 2020.

BACKGROUND: In electoral contexts, mental health topics have recently attracted sociopolitical relevance, influenced by policy developments, election-related psychopathology and popular discourse about individual candidates. Yet, whether this reflects generalised trends or is contingent on election-specific and contextual factors remains difficult to ascertain. AIMS: This study sought to examine correlations between Google Trends (GT) data on mental health and four national elections in the US and the UK from 2008 to 2020. This was intended to yield preliminary insights into the relevance of mental health topics amongst voters and the potential impact of electoral cycles on patterns of online engagement with these issues. METHODS: Monthly and daily Search Volume Indexes (SVI) were gathered from the 'Mental Health' category on GT in the US and UK from 2008 to 2023. SVI were evaluated around the past four national ballots, comparing election-year intervals and baseline data from the preceding year. Statistical tests were conducted to assess SVI and short- and long-term dynamics. FINDINGS: The results showed heterogeneous SVI patterns related to mental health during elections in the US and the UK. In the US, there were statistically significant SVI increases proximal to the majority of elections as compared to data in the same calendar year, but these did not typically exceed baseline SVI. However, interestingly, divisive US contests showed correlations with several elevated SVI measures in the same and previous years. Conversely, there was a lack of consistent longitudinal trends in UK elections, perhaps informed by its disparate sociopolitical landscape. CONCLUSIONS: These findings underline the composite relationship between electoral politics and popular engagement with mental health topics around national votes, suggesting that this is driven more by situational factors rather than a recurrent electoral effect or signs of burgeoning engagement. Detailed research is required to understand the nuances and causality behind these dynamics and their wider implications.

Patient Questions Surrounding Posterior Nasal Nerve Ablation for Chronic Rhinitis.

Objective: In-office ablation of the posterior nasal nerve (PNN) has emerged as an effective treatment option for chronic rhinitis patients. This study explored questions patients commonly search online regarding this therapy and the quality of content available. Study Design: A retrospective analysis of online search criteria and sources was performed with subsequent analysis of results. Setting: Search and data acquisition was in September of 2023. Methods: Most common search terms related to cryotherapy and radiofrequency neurolysis of the PNN were identified with associated People Also Ask (PAA) questions. Questions were categorized and organized into subtopics and sources evaluated using readability and quality metrics. Results: A total of 255 unique PAA questions and 175 unique websites were identified. The most common subtopics were related to facts about chronic rhinitis (26.7%) and rhinitis treatment options (25.1%). Nearly a quarter (24.3%) of websites were from commercial sources. Quality metrics indicate difficult-to-read and low-quality materials. Conclusion: Existing online resources need improvement to provide patients material that is easier to read. Physicians counseling patients should be aware of these areas for adequate shared decision making.

Associations between news coverage, social media discussions, and search trends about celebrity deaths, screening, and other colorectal cancer-related events.

OBJECTIVE: Colorectal cancer (CRC) is the third leading cause of cancer death among both men and women in the United States. CRC-related events may increase media coverage and public attention, boosting awareness and prevention. This study examined associations between several types of CRC events (including unplanned celebrity cancer deaths and planned events like national CRC awareness months, celebrity screening behavior, and screening guideline changes) and news coverage, Twitter discussions, and Google search trends about CRC and CRC screening. METHODS: We analyzed data from U.S. national news media outlets, posts scraped from Twitter, and Google Trends on CRC and CRC screening during a three-year period from 2020 to 2022. We used burst detection methods to identify temporal spikes in the volume of news, tweets, and search after each CRC-related event. RESULTS: There is a high level of heterogeneity in the impact of celebrity CRC events. Celebrity CRC deaths were more likely to precede spikes in news and tweets about CRC overall than CRC screening. Celebrity screening preceded spikes in news and tweets about screening but not searches. Awareness months and screening guideline changes did precede spikes in news, tweets, and searches about screening, but these spikes were inconsistent, not simultaneous, and not as large as those events concerning most prominent public figures. CONCLUSIONS: CRC events provide opportunities to increase attention to CRC. Media and public health professionals should actively intervene during CRC events to increase emphasis on CRC screening and evidence-based recommendations.

Can Google Help Your Nearsightedness? A Google Trend Analysis of Public Interest in Myopic Progression.

Purpose: To explore public interest in myopia progression and management and to correlate these trends to available treatments. Methods: Keywords were chosen for interest in myopia overall and those signifying interest in myopia treatments. Treatment options were separated into four main categories: atropine, glasses, contact lenses, and orthokeratology. Search terms were queried across ten years of Google Trends data and the relative search volume was analyzed to quantify the change in search volume over time. Results: A positive linear trend over time was present for all myopia interest keywords except "nearsighted" (p = 0.074) and "near work myopia" (p = 0.086). Interest in the four myopia treatment categories included in this study also displayed a significant positive trend over time. There is also a statistically significant positive correlation between all four treatment options and four of the seven categories of population interest, "myopia control", "myopia", "myopia progression", and "screen time myopia". Conclusion: This study demonstrates the utility of GT to correlate public interest in myopia treatments over time. All treatment terms had statistically significant linear search volume growth over a ten-year period. The positive correlation between interest in myopia as a health problem and available treatments supports existing evidence that GT can track rising public health concerns and corresponding treatment-seeking behaviors.

Exploring diverse interests of collaborators in smart cities: A topic analysis using LDA and BERT.

Smart cities have emerged as a promising solution to the problems associated with urbanization. However, research that holistically considers diverse stakeholders in smart cities is scarce. This study utilizes data from four types of collaborators (academia, public sector, industry, and civil society actors) to identify key topics and suggest research areas for developing smart cities. We used latent Dirichlet allocation and Bidirectional Encoder Representations from Transformers for topic extraction and analysis. The analysis reveals that sustainability and digital platform have received similar levels of interest from academia, industry, and government, whereas governance, resource, and green space are less frequently mentioned than technology-related topics. Hype cycle analysis, which considers public and media expectations, reveals that smart cities experienced rapid growth from 2015 to 2021, but the growth rate has slowed since 2022. This means that a breakthrough improvement in the current situation is required. Accordingly, we propose resolving the unbalanced distribution of topic interests among collaborators, especially in the areas of governance, environment, economy, and healthcare. We expect that our findings will help researchers, policymakers, and industry stakeholders in understanding which topics are underdeveloped in their fields and taking active measures for the future development of smart cities.

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.

Emerging Trends in Information-Seeking Behavior for Alpha-Gal Syndrome: Infodemiology Study Using Time Series and Content Analysis.

BACKGROUND: Alpha-gal syndrome is an emerging allergy characterized by an immune reaction to the carbohydrate molecule alpha-gal found in red meat. This unique food allergy is likely triggered by a tick bite. Cases of the allergy are on the rise, but prevalence estimates do not currently exist. Furthermore, varying symptoms and limited awareness of the allergy among health care providers contribute to delayed diagnosis, leading individuals to seek out their own information and potentially self-diagnose. OBJECTIVE: The study aimed to (1) describe the volume and patterns of information-seeking related to alpha-gal, (2) explore correlations between alpha-gal and lone star ticks, and (3) identify specific areas of interest that individuals are searching for in relation to alpha-gal. METHODS: Google Trends Supercharged-Glimpse, a new extension of Google Trends, provides estimates of the absolute volume of searches and related search queries. This extension was used to assess trends in searches for alpha-gal and lone star ticks (lone star tick, alpha gal, and meat allergy, as well as food allergy for comparison) in the United States. Time series analyses were used to examine search volume trends over time, and Spearman correlation matrices and choropleth maps were used to explore geographic and temporal correlations between alpha-gal and lone star tick searches. Content analysis was performed on related search queries to identify themes and subcategories that are of interest to information seekers. RESULTS: Time series analysis revealed a rapidly increasing trend in search volumes for alpha-gal beginning in 2015. After adjusting for long-term trends, seasonal trends, and media coverage, from 2015 to 2022, the predicted adjusted average annual percent change in search volume for alpha-gal was 33.78%. The estimated overall change in average search volume was 627%. In comparison, the average annual percent change was 9.23% for lone star tick, 7.34% for meat allergy, and 2.45% for food allergy during this time. Geographic analysis showed strong significant correlations between alpha-gal and lone star tick searches especially in recent years (ρ=0.80; P<.001), with primary overlap and highest search rates found in the southeastern region of the United States. Content analysis identified 10 themes of primary interest: diet, diagnosis or testing, treatment, medications or contraindications of medications, symptoms, tick related, specific sources of information and locations, general education information, alternative words for alpha-gal, and unrelated or other. CONCLUSIONS: The study provides insights into the changing information-seeking patterns for alpha-gal, indicating growing awareness and interest. Alpha-gal search volume is increasing at a rapid rate. Understanding specific questions and concerns can help health care providers and public health educators to tailor communication strategies. The Google Trends Supercharged-Glimpse tool offers enhanced features for analyzing information-seeking behavior and can be valuable for infodemiology research. Further research is needed to explore the evolving prevalence and impact of alpha-gal syndrome.

Digital smoke signals: Event-driven online search trends in Heated Tobacco Products in Poland.

INTRODUCTION: Heated tobacco products (HTPs) have emerged as a prominent category in the tobacco market, particularly within European countries such as Poland. The introduction of HTPs has been met with increasing public interest, reflected in online search behavior. However, the public health implications of this new form of tobacco consumption remain a concern due to the lack of comprehensive research on its long-term effects. This study aimed to track the trends in online searches related to HTPs in Poland between 2016 and 2022, and to assess the impact of significant events on these trends in order to provide insights into public awareness of HTPs. METHODS: Utilizing Google Trends, a free source tool, this study analyzed relative search volume (RSV) for HTP-related keywords in Poland. Key events were identified and mapped against the fluctuations in RSV to understand their impact on search behavior. The analysis was confined to specific HTP-related keywords, excluding broader tobacco-related terms. RESULTS: A notable increase in HTP-related search queries was observed, particularly around the time of product launches and legislative changes. The largest increases occurred during the introduction of HTPs to the Polish market and during major events such as the COVID-19 pandemic. CONCLUSIONS: The study demonstrates a market interest in HTPs among Polish internet users, with search trends influenced by product launches and policy changes. The findings highlight the importance of monitoring online behaviors to inform public health efforts, despite limitations such as the lack of demographic data. Further research is needed to deepen the understanding of how these online trends correlate with actual consumer behavior and product sales.

Google Trends Analysis of Otologic Symptom Searches Following COVID-19.

Introduction: COVID-19 infection was accompanied by otologic symptoms, a pattern that was captured early by Google Trends. The objective of this study is to investigate searches for otologic symptoms and identify correlations with the pandemic onset. Materials and Methods: Search interest for otologic symptoms was gathered using Google Trends from two years before and two years following the pandemic start date. A two-tailed Mann-Whitney U test was used to identify significant changes and effect size. Results: In total, search interest for 14 terms was collected, with significant changes identified in 11. Six terms showed increased search interest, with the most significant rises observed for headache (r=0.589, p<0.001), dizziness (r=0.554, p<0.001), and tinnitus (r=0.410, p<0.001). Search interest decreased for five terms, with the most notable declines found in searches for migraine headache (r=0.35, p<0.001) and phonophobia (r=0.22, p=0.002). No significant changes were seen in ear pressure (p=0.142), neck pain (p=0.935), and sudden hearing loss (p=0.863) searches. Conclusion: COVID-19 infection is often accompanied otologic symptoms and holds a diagnostic role. Fluctuating search interest may be attributed to a true increase in cases, media trends, or people's desires to stay informed. Google Trends robustly captured trends in search interest and presented itself as a valuable epidemiological tool.

Infodemiology of Influenza-like Illness: Utilizing Google Trends' Big Data for Epidemic Surveillance.

Background: Influenza-like illness (ILI) encompasses symptoms similar to influenza, affecting population health. Surveillance, including Google Trends (GT), offers insights into epidemic patterns. Methods: This study used multiple regression models to analyze the correlation between ILI incidents, GT keyword searches, and climate variables during influenza outbreaks. It compared the predictive capabilities of time-series and deep learning models against ILI emergency incidents. Results: The GT searches for "fever" and "cough" were significantly associated with ILI cases (p < 0.05). Temperature had a more substantial impact on ILI incidence than humidity. Among the tested models, ARIMA provided the best predictive power. Conclusions: GT and climate data can forecast ILI trends, aiding governmental decision making. Temperature is a crucial predictor, and ARIMA models excel in forecasting ILI incidences.

Assessment of using Google Trends for real-time monitoring of infectious disease outbreaks: a measles case study.

Measles remains a significant threat to children worldwide despite the availability of effective vaccines. The COVID-19 pandemic exacerbated the situation by leading to the postponement of supplementary measles immunization activities. Along with this postponement, measles surveillance also deteriorated, with the lowest number of submitted specimens in over a decade. In this study, we focus on measles as a challenging case study due to its high vaccination coverage, which leads to smaller outbreaks and potentially weaker signals on Google Trends. Our research aimed to explore the feasibility of using Google Trends for real-time monitoring of infectious disease outbreaks. We evaluated the correlation between Google Trends searches and clinical case data using the Pearson correlation coefficient and Spearman's rank correlation coefficient across 30 European countries and Japan. The results revealed that Google Trends was most suitable for monitoring acute disease outbreaks at the regional level in high-income countries, even when there are only a few weekly cases. For example, from 2017 to 2019, the Pearson correlation coefficient was 0.86 (p-value< 0.05) at the prefecture level for Okinawa, Japan, versus 0.33 (p-value< 0.05) at the national level for Japan. Furthermore, we found that the Pearson correlation coefficient may be more suitable than Spearman's rank correlation coefficient for evaluating the correlations between Google Trends search data and clinical case data. This study highlighted the potential of utilizing Google Trends as a valuable tool for timely public health interventions to respond to infectious disease outbreaks, even in the context of diseases with high vaccine coverage.

Public and media interest in bed bugs-Europe 2023.

In late summer of 2023 bed bug (Cimex lectularius) infestations received much media attention especially from Paris Fashion Week (2023-09-25/2023-10-03). Concern in France has grown in recent years and the public may have been sensitised from the recent release of the report Les punaises de lit: impacts, prévention et lutte from the Agence Nationale de Sécurité Sanitaire. Additionally, families returning from summer travel for the start of the school year (2023-09-04) may have brought Cimex spp. with them. A belief, typically false, that they are associated with poor housekeeping and the commercial sensitivity of infestations makes quantitative data on the occurrence and frequency of the insects difficult to find. Often it was based on the number of consultations with physicians and enquiries about bed bugs. Our study has used Google search frequency (Google Trends) to assess the growth and spread of public interest. It found that concern over the Paris outbreak spread to neighbouring countries and was an inverse function of distance. Health issues are a popular topic in science journalism and articles with bad news, threat, continuity and geographic proximity helped generate considerable media activity such that the public perceptions of the problem were enhanced and suggests that government agencies need to collect well standardised data on bed bug occurrence. Google Trends proved a sensitive tool to follow the public concern over an insect that invokes considerable dread.