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.

Evaluating the Impact of Mask Mandates and Political Party Affiliation on Mental Health Internet Search Behavior in the United States During the COVID-19 Pandemic: Generalized Additive Mixed Model Framework.

BACKGROUND: The impacts of the COVID-19 pandemic on mental health worldwide and in the United States have been well documented. However, there is limited research examining the long-term effects of the pandemic on mental health, particularly in relation to pervasive policies such as statewide mask mandates and political party affiliation. OBJECTIVE: The goal of this study was to examine whether statewide mask mandates and political party affiliations yielded differential changes in mental health symptoms across the United States by leveraging state-specific internet search query data. METHODS: This study leveraged Google search queries from March 24, 2020, to March 29, 2021, in each of the 50 states in the United States. Of the 50 states, 39 implemented statewide mask mandates-with 16 of these states being Republican-to combat the spread of COVID-19. This study investigated whether mask mandates were associated differentially with mental health in states with and without mandates by exploring variations in mental health search queries across the United States. In addition, political party affiliation was examined as a potential covariate to determine whether mask mandates had differential associations with mental health in Republican and Democratic states. Generalized additive mixed models were implemented to model associations among mask mandates, political party affiliation, and mental health search volume for up to 7 months following the implementation of a mask mandate. RESULTS: The results of generalized additive mixed models revealed that search volume for "restless" significantly increased following a mask mandate across all states, whereas the search volume for "irritable" and "anxiety" increased and decreased, respectively, following a mandate for Republican states in comparison with Democratic states. Most mental health search terms did not exhibit significant changes in search volume in relation to mask mandate implementation. CONCLUSIONS: These findings suggest that mask mandates were associated nonlinearly with significant changes in mental health search behavior, with the most notable associations occurring in anxiety-related search terms. Therefore, policy makers should consider monitoring and providing additional support for these mental health symptoms following the implementation of public health-related mandates such as mask mandates. Nevertheless, these results do not provide evidence for an overwhelming impact of mask mandates on population-level mental health in the United States.

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.

State health policies and interest in PrEP: evidence from Google Trends.

This study investigated the association between interest in Pre-exposure Prophylaxis (PrEP) in the US using Google Health Trends as a source of big data and state policy variables of Medicaid expansions under the Affordable Care Act (ACA) and initiation of PrEP Assistance Programs (PrEP-AP). As of December 2019, thirty-three states and the District of Columbia have accepted federal Medicaid funding provided through the ACA to expand eligibility to low-income adults. Among these expansion states, eight states also implemented PrEP-AP, a program that finances PrEP. A difference-in-differences approach estimated how changes in Google search for PrEP before and after the expansion differed across expansion and non-expansion states. Analyses also gauged whether the magnitude of the correlation between Medicaid expansions and Google searches was higher in states that also initiated PrEP-AP. Findings indicated that the Medicaid expansions were associated with a higher share of Google searches for PrEP keywords (ß=1.536, S.E. =.36, p<.001). Moreover, the magnitude of correlation for some keywords was higher in states that also implemented PrEP-APs.

The Effect of Nonpharmaceutical Interventions Implemented in Response to the COVID-19 Pandemic on Seasonal Respiratory Syncytial Virus: Analysis of Google Trends Data.

BACKGROUND: Respiratory syncytial virus (RSV) is a major cause of respiratory infection in children. Despite usually following a consistent seasonal pattern, the 2020-2021 RSV season in many countries was delayed and changed in magnitude. OBJECTIVE: This study aimed to test if these changes can be attributed to nonpharmaceutical interventions (NPIs) instituted around the world to combat SARS-CoV-2. METHODS: We used the internet search volume for RSV, as obtained from Google Trends, as a proxy to investigate these abnormalities. RESULTS: Our analysis shows a breakdown of the usual correlation between peak latency and magnitude during the year of the pandemic. Analyzing latency and magnitude separately, we found that the changes therein are associated with implemented NPIs. Among several important interventions, NPIs affecting population mobility are shown to be particularly relevant to RSV incidence. CONCLUSIONS: The 2020-2021 RSV season served as a natural experiment to test NPIs that are likely to restrict RSV spread, and our findings can be used to guide health authorities to possible interventions.

Mental Health Information Seeking Online: A Google Trends Analysis of ADHD.

Health information influences consumer decision making to seek, select, and utilize services. Online searching for mental health information is increasingly common, especially by adolescents and parents. We examined historical trends and factors that may influence population-level patterns in information seeking for attention-deficit/hyperactivity disorder (ADHD). We extracted Google Trends data from January 2004 to February 2020. Keywords included "ADHD," "ADHD treatment," "ADHD medication," and "ADHD therapy." We examined trends (systematic change over time) and seasonality (repeating pattern of change) via time-series analyses and graphics. We also used interrupted time-series analyses to examine the impact of celebrity and pharmaceutical events. Queries of "ADHD medication" increase, while queries for "ADHD therapy" remain relatively low despite a positive linear trend. Searches for "ADHD treatment" displayed a downward trend in more recent years. Analyses on seasonality revealed that holiday breaks coincided with a decrease in search interest, while post-break periods illustrated a rise, and the ADHD Awareness Month (October) coincided with a rise of public interest in all four search terms. Celebrity effects were more prominent in earlier years; the "Own It" pharmaceutical campaign may have increased ADHD awareness and the specificity of searches for "ADHD medication." The anonymous, accessible, and low-cost nature of seeking information online makes search engines like Google important sources of mental health information. Changing search patterns in response to seasonal, advocacy, and media events highlight internet-based opportunities for raising awareness and disseminating empirically supported information.

Intrest in influenza and influenza like illnesses in Poland 2016-2021 based on Google Trend's data analysis.

INTRODUCTION: Influenza and Influenza Like Illness (ILI) are viral diseases that show seasonality in incidence. Influenza can be effectively prevented with immunization. Vaccination is recommended for risk groups, especially for the elderly, immunocompromised population, with chronic diseases and pregnant women. AIM OF THE STUDY: The purpose of the study was to assess interest in influenza and influenza vaccine in Poland by users of the Google search engine over the last five years using the Google Trends (GT) tool. MATERIAL AND METHODS: Data collected from Google Trends (GT) over a five-year period beginning on 11/9/2016 was analyzed. The time trend analysis focused at four phrases in Polish "grypa", "grypa objawy", "szczepionka przeciw grypie" and "szczepionka na grype", which can be translated into English, as; "flu", "flu symptoms", "flu vaccine", and a colloquial phrase meaning "against the flu vaccine". RESULTS: Before the outbreak of the COVID-19 pandemic, a seasonal increase in inquiries is evident, mimicking the increase in influenza and ILI cases or an increase in interest in the topic during the season in which prophylaxis is carried out using available vaccines. During the COVID-19 pandemic, the seasonal interest in the above topic was disrupted. CONCLUSIONS: During the COVID-19 pandemic, there were changes in the search terms in Polish. This included the timing and amount of queries related to influenza-themed expressions. During the COVID-19 pandemic, there was an increase in influenza and ILI queries during the period of increased incidence of COVID-19.

Decreased public pursuit of cancer-related information during the COVID-19 pandemic in the United States.

BACKGROUND: In response to the prioritization of healthcare resources towards the COVID-19 pandemic, routine cancer screening and diagnostic have been disrupted, potentially explaining the apparent COVID-era decline in cancer cases and mortality. In this study, we identified temporal trends in public interest in cancer-related health information using the nowcasting tool Google Trends. METHODS: We used Google Trends to query search terms related to cancer types for short-term (September 2019-September 2020) and long-term (September 2016-September 2020) trends in the US. We compared average relative search volumes (RSV) for specified time ranges to detect recent and seasonal variation. RESULTS: General search interest declined for all cancer types beginning in March 2020, with changes in search interest for "Breast cancer," "Colorectal cancer," and "Melanoma" of - 30.6%, - 28.2%, and - 26.7%, respectively, and compared with the mean RSV of the two previous months. In the same time range, search interest for "Telemedicine" has increased by + 907.1% and has reached a 4-year peak with a sustained increased level of search interest. Absolute cancer mortality has declined and is presently at a 4-year low; however, search interest in cancer has been recuperating since July 2020. CONCLUSION: We observed a marked decline in searches for cancer-related health information that mirrors the reduction in new cancer diagnoses and cancer mortality during the COVID-19 pandemic. Health professions need to be prepared for the coming demand for cancer-related healthcare, foreshadowed by recovering interest in cancer-related information on Google Trends.

Google search behavior for meningitis and its vaccines: an infodemiological study.

BACKGROUND: The internet has made significant contributions towards health education. Analyzing the pattern of online behavior regarding meningitis and vaccinations may be worthwhile. It is hypothesized that the online search patterns in meningitis are correlated with its number of cases and the search patterns of its related vaccines. METHODS: This was an infodemiological study that determined the relationship among online search interest in meningitis, its worldwide number of cases and its associated vaccines. Using Google Trends™ Search Volume Indices (SVIs), we evaluated the search queries "meningitis," "pneumococcal vaccine," "BCG vaccine," "meningococcal vaccine" and "influenza vaccine" in January 2021, covering January 2008 to December 2020. Spearman rank correlation was used to determine correlations between these queries. RESULTS: The worldwide search interest in meningitis from 2008 to 2020 showed an average SVI of 46 ± 8.8. The most searched topics were symptoms, vaccines, and infectious agents with SVIs of 100, 52, and 39, respectively. The top three countries with the highest search interest were Ghana, Kazakhstan, and Kenya. There were weak, but statistically significant correlations between meningitis and the BCG (ρ = 0.369, p < 0.001) and meningococcal (ρ = 0.183, p < 0.05) vaccines. There were no statistically significant associations between the number of cases, influenza vaccine, and pneumococcal vaccine. CONCLUSION: The relationships among the Google SVIs for meningitis and its related vaccines and number of cases data were inconsistent and remained unclear. Future infodemiological studies may expand their scopes to social media, semantics, and big data for more robust conclusions.

Using Application Programming Interfaces (APIs) to Access Google Data and Gain Insights Into Searches on Birth Control in Louisiana and Mississippi, 2014-2018: Infoveillance Study.

BACKGROUND: It is now common to search for health information online. A 2013 Pew Research Center survey found that 77% of online health seekers began their query at a search engine. The widespread use of online health information seeking also applies to women's reproductive health. Despite online interest in birth control, not much is known about related interests and concerns reflected in the search terms in the United States. OBJECTIVE: In this study, we identify the top search terms on Google related to birth control in Louisiana and Mississippi and compare those results to the broader United States, examining how Google searches on birth control have evolved over time and identifying regional variation within states. METHODS: We accessed search data on birth control from 2014-2018 from 2 Google application programming interfaces (APIs), Google Trends and Google Health Trends. We selected Google as it is the most commonly used search engine. We focused our analysis on data from 2017 and compared with 2018 data as appropriate. To assess trends, we analyzed data from 2014 through 2018. To compare the relative search frequencies of the top queries across Louisiana, Mississippi, and the United States, we used the Google Health Trends API. Relative search volume by designated marketing area (DMA) gave us the rankings of search volume for each birth control method in each DMA as compared to one another. RESULTS: Results showed that when people searched for "birth control" in Louisiana and the broader United States, they were searching for information on a diverse spectrum of methods. This differs from Mississippi, where the data indicated people were mainly searching for information related to birth control pills. Across all locations, searches for birth control pills were significantly higher than any other queries related to birth control in the United States, Louisiana, and Mississippi, and this trend remained constant from 2014 to 2018. Regional level analysis showed variations in search traffic for birth control across each state. CONCLUSIONS: The internet is a growing source of health information for many users, including information on birth control. Understanding popular Google search queries on birth control can inform in-person discussions initiated by family planning practitioners and broader birth control messaging campaigns. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/16543.

Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study.

BACKGROUND: With the prolonging of human life expectancy and subsequent population aging, osteoporosis (OP) has become an important public health issue. OBJECTIVE: This study aimed to understand the global public search interests and dynamic trends in "osteoporosis" using the data derived from Google Trends. METHODS: An online search was performed using the term "osteoporosis" in Google Trends from January 1, 2004, to December 31, 2019, under the category "Health." Cosinor analysis was used to test the seasonality of relative search volume (RSV) for "osteoporosis." An analysis was conducted to investigate the public search topic rising in RSV for "osteoporosis." RESULTS: There was a descending trend of global RSV for "osteoporosis" from January 2004 to December 2014, and a slowly increasing trend from January 2015 to December 2019. Cosinor analysis showed significant seasonal variations in global RSV for "osteoporosis" (P=.01), with a peak in March and a trough in September. In addition, similar decreasing trends of RSV for "osteoporosis" were found in Australia, New Zealand, Ireland, and Canada from January 2004 to December 2019. Cosinor test revealed significant seasonal variations in RSV for "osteoporosis" in Australia, New Zealand, Canada, Ireland, UK, and USA (all P<.001). Furthermore, public search rising topics related to "osteoporosis" included denosumab, fracture risk assessment tool, bone density, osteopenia, osteoarthritis, and risk factor. CONCLUSIONS: Our study provided evidence about the public search interest and dynamic trends in OP using web-based data, which would be helpful for public health and policy making.

Public Interest in Immunity and the Justification for Intervention in the Early Stages of the COVID-19 Pandemic: Analysis of Google Trends Data.

BACKGROUND: The use of social big data is an important emerging concern in public health. Internet search volumes are useful data that can sensitively detect trends of the public's attention during a pandemic outbreak situation. OBJECTIVE: Our study aimed to analyze the public's interest in COVID-19 proliferation, identify the correlation between the proliferation of COVID-19 and interest in immunity and products that have been reported to confer an enhancement of immunity, and suggest measures for interventions that should be implemented from a health and medical point of view. METHODS: To assess the level of public interest in infectious diseases during the initial days of the COVID-19 outbreak, we extracted Google search data from January 20, 2020, onward and compared them to data from March 15, 2020, which was approximately 2 months after the COVID-19 outbreak began. In order to determine whether the public became interested in the immune system, we selected coronavirus, immune, and vitamin as our final search terms. RESULTS: The increase in the cumulative number of confirmed COVID-19 cases that occurred after January 20, 2020, had a strong positive correlation with the search volumes for the terms coronavirus (R=0.786; P<.001), immune (R=0.745; P<.001), and vitamin (R=0.778; P<.001), and the correlations between variables were all mutually statistically significant. Moreover, these correlations were confirmed on a country basis when we restricted our analyses to the United States, the United Kingdom, Italy, and Korea. Our findings revealed that increases in search volumes for the terms coronavirus and immune preceded the actual occurrences of confirmed cases. CONCLUSIONS: Our study shows that during the initial phase of the COVID-19 crisis, the public's desire and actions of strengthening their own immune systems were enhanced. Further, in the early stage of a pandemic, social media platforms have a high potential for informing the public about potentially helpful measures to prevent the spread of an infectious disease and provide relevant information about immunity, thereby increasing the public's knowledge.

Google Trends Analysis Shows Increasing Public Interest in Platelet-Rich Plasma Injections for Hip and Knee Osteoarthritis.

BACKGROUND: Osteoarthritis is a chronic musculoskeletal condition that frequently affects the hip and knee joints. Given the burden associated with surgical intervention for hip and knee osteoarthritis, patients continue to search for potential nonoperative treatments. One biologic therapy with mixed clinical and basic science evidence for treating osteoarthritis is platelet-rich plasma injections into the affected joint. We used the Google Trends tool to provide a quantitative analysis of national interest in platelet-rich plasma injections for hip and knee osteoarthritis. METHODS: Google Trends parameters were selected to obtain search data from January 2009 to December 2019. Various combinations of "arthritis," "osteoarthritis," "PRP," "platelet-rich plasma," "knee," and "hip" were entered into the Google Trends tool and trend analyses were performed. RESULTS: Three linear models were generated to display search volume trends in the United States for platelet-rich plasma and osteoarthritis, hip osteoarthritis, and knee osteoarthritis, respectively. All models showed increased Google queries as time progressed (P < .001), with R2 ranging from 0.837 to 0.940. Seasonal, income-related, and geographic variations in public interest in platelet-rich plasma for osteoarthritis were noted. CONCLUSION: Our results demonstrate a significant rise in Google queries related to platelet-rich plasma injections for osteoarthritis of the hip and knee since 2009. Surgeons treating hip and knee osteoarthritis patients can expect continued interest in platelet-rich plasma, despite inconclusive clinical and basic science data. Trends in public interest may inform patient counseling, shared decision-making, and directions for future clinical research.

Global Trends in YouTube and Google Search Activity for Psoriasis and Atopic Eczema: Detecting Geographic Hot Spots, Blind Spots and Treatment Strategies.

To date, the geographical distribution and global trends of search activities on psoriasis and atopic eczema on Google and YouTube are widely unknown. The aim of this study was to identify geographic and temporal trends in YouTube and Google search activities for psoriasis and atopic eczema. We used specific filter settings on Google Trends to indicate the global search activity for ("Psoriasis") and ("Atopic Eczema") on Google and YouTube between January 1st , 2008 and August 7th , 2019. The four resulting data sets were analyzed and compared with respect to geographic distribution and temporal trends. Apart from a few "blind spots" (eg, Chad, Uzbekistan) the term "Psoriasis" was queried geographically fairly evenly distributed. The opposite was true for "Atopic Eczema", which was predominantly queried from a few "hot spots" (eg, United States, Commonwealth of Nations and Sweden). Since 2008, the search activity on YouTube for "Psoriasis" has tripled, while that for "Atopic Eczema" has decreased. On Google, by contrast, search activity has risen for both "Psoriasis" and "Atopic Eczema." Google Trends can be a useful tool to track people's/patients' interests and search search behavior over time, enabling, for instance, regionally tailored information and prevention campaigns.

Seasonality and global public interest in psoriasis: an infodemiology study.

OBJECTIVE: Although patients with psoriasis frequently report seasonal changes in their symptoms, the seasonality of psoriasis has rarely been explored. This study aims to investigate the seasonal pattern of and global public interest in psoriasis using Google search data. METHODS: Internet search data were collected from Google Trends. Data on the relative search volume (RSV) from January 2004 to December 2018 were retrieved using the term psoriasis. Cosinor analyses were conducted to examine the seasonality of psoriasis using data from two southern hemisphere countries (Australia and New Zealand) and four northern hemisphere countries (USA, Canada, UK and Ireland). RESULTS: Overall, searches for psoriasis steadily decreased between 2004 and 2010, and then rose from 2011 to 2018. On cosinor analyses, RSV of 'psoriasis' displayed a significant seasonal variation worldwide (p<0.025). Further analyses confirmed the seasonality of psoriasis-related RSV in Australia, New Zealand, USA, Canada, UK and Ireland (p<0.025 for all), with peaks in the late winter/early spring months and troughs in the late summer/early autumn months. The top 11 rising topics were calcipotriol/betamethasone dipropionate, ustekinumab, apremilast, shampoo, eczema, guttate psoriasis, seborrhoeic dermatitis, dermatitis, psoriatic arthritis, atopic dermatitis and arthritis. CONCLUSION: There was a significant seasonal pattern for psoriasis, with peaks in the late winter/early spring and troughs in the late summer/early autumn. Further studies are warranted to confirm the seasonal pattern of psoriasis using clinical data and to explore the underlying mechanisms.

Quantifying Public Interest in Police Reforms by Mining Internet Search Data Following George Floyd's Death.

BACKGROUND: The death of George Floyd while in police custody has resurfaced serious questions about police conduct that result in the deaths of unarmed persons. OBJECTIVE: Data-driven strategies that identify and prioritize the public's needs may engender a public health response to improve policing. We assessed how internet searches indicative of interest in police reform changed after Mr Floyd's death. METHODS: We monitored daily Google searches (per 10 million total searches) that included the terms "police" and "reform(s)" (eg, "reform the police," "best police reforms," etc) originating from the United States between January 1, 2010, through July 5, 2020. We also monitored searches containing the term "police" with "training," "union(s)," "militarization," or "immunity" as markers of interest in the corresponding reform topics. RESULTS: The 41 days following Mr Floyd's death corresponded with the greatest number of police "reform(s)" searches ever recorded, with 1,350,000 total searches nationally. Searches increased significantly in all 50 states and Washington DC. By reform topic, nationally there were 1,220,000 total searches for "police" and "union(s)"; 820,000 for "training"; 360,000 for "immunity"; and 72,000 for "militarization." In terms of searches for all policy topics by state, 33 states searched the most for "training," 16 for "union(s)," and 2 for "immunity." States typically in the southeast had fewer queries related to any police reform topic than other states. States that had a greater percentage of votes for President Donald Trump during the 2016 election searched more often for police "union(s)" while states favoring Secretary Hillary Clinton searched more for police "training." CONCLUSIONS: The United States is at a historical juncture, with record interest in topics related to police reform with variability in search terms across states. Policy makers can respond to searches by considering the policies their constituencies are searching for online, notably police training and unions. Public health leaders can respond by engaging in the subject of policing and advocating for evidence-based policy reforms.

Cross-Country Comparison of Public Awareness, Rumors, and Behavioral Responses to the COVID-19 Epidemic: Infodemiology Study.

BACKGROUND: Understanding public behavioral responses to the coronavirus disease (COVID-19) epidemic and the accompanying infodemic is crucial to controlling the epidemic. OBJECTIVE: The aim of this study was to assess real-time public awareness and behavioral responses to the COVID-19 epidemic across 12 selected countries. METHODS: Internet surveillance was used to collect real-time data from the general public to assess public awareness and rumors (China: Baidu; worldwide: Google Trends) and behavior responses (China: Ali Index; worldwide: Google Shopping). These indices measured the daily number of searches or purchases and were compared with the numbers of daily COVID-19 cases. The trend comparisons across selected countries were observed from December 1, 2019 (prepandemic baseline) to April 11, 2020 (at least one month after the governments of selected countries took actions for the pandemic). RESULTS: We identified missed windows of opportunity for early epidemic control in 12 countries, when public awareness was very low despite the emerging epidemic. China's epidemic and the declaration of a public health emergency of international concern did not prompt a worldwide public reaction to adopt health-protective measures; instead, most countries and regions only responded to the epidemic after their own case counts increased. Rumors and misinformation led to a surge of sales in herbal remedies in China and antimalarial drugs worldwide, and timely clarification of rumors mitigated the rush to purchase unproven remedies. CONCLUSIONS: Our comparative study highlights the urgent need for international coordination to promote mutual learning about epidemic characteristics and effective control measures as well as to trigger early and timely responses in individual countries. Early release of official guidelines and timely clarification of rumors led by governments are necessary to guide the public to take rational action.

Global public interest in systemic lupus erythematosus: an investigation based on internet search data.

OBJECTIVE: This study aims at investigating the global public interest in seeking information about systemic lupus erythematosus (SLE) using Google Trends (GT). METHODS: An electronic search was performed using GT with the search term lupus as well as the option of disease from January 2004 to December 2018. Cosinor analysis was applied to detect the seasonality of SLE-related relative search volume (RSV). In addition, analysis on SLE-related topics including "hot topics" and "top rising topics" was also conducted. RESULTS: Overall, SLE-related RSV showed a decreasing trend from January 2004 to December 2013 and then demonstrated a slowly increasing trend from January 2014 to December 2018. Cosinor test showed no significant seasonal variation in SLE-related RSV (p > .025). RSV peaked in May and reached the trough in November. The top seven rising topics were Selena Gomez, Sjögren syndrome, autoimmunity, rheumatoid arthritis, rheumatology, antinuclear antibody and autoimmune disease. CONCLUSION: The results from GT analysis showed slowly increasing internet searches for SLE in recent years. This trend was followed by a peak of RSV in May and reached its lowest level in November. However, globally, the results did not reveal a significant seasonal variation in GT for SLE. Additionally, the top fast-growing topics regarding SLE may be valuable for doctors and nurses to provide timely education of the disease to patients, as well as promote the development of public health.

An international comparison of Google searches for sunscreen, sunburn, skin cancer, and melanoma: Current trends and public health implications.

BACKGROUND: Google Trends® (GT) offers insight into public interests and behaviors and holds potential for guiding public health campaigns. OBJECTIVES: This study explored international trends in English-speaking countries (United States, United Kingdom, Canada, Australia, New Zealand) in searches for sunscreen, sunburn, skin cancer, and melanoma to better guide skin cancer prevention campaigns. METHODS: Google Trends® was queried for search terms from January 1, 2004 to December 31, 2017. Respective national databases were queried for melanoma outcome data from 2004 to 2014 and compared with time-matched search data. Correlations between search terms, time, and melanoma outcomes were assessed for each country. Quantitative analyses were performed to evaluate differences in search volumes between countries with varying melanoma incidence. RESULTS: In all countries, the strongest intra-term correlation was between sunscreen and sunburn. Searches for sunscreen and sunburn are increasing for all countries. For all countries except the United Kingdom and New Zealand, searches for skin cancer and melanoma are decreasing for one or both terms. Correlations between search terms and melanoma outcomes were variable and specific to each country. Quantitative analysis revealed that countries with higher melanoma incidence had higher search volumes for all terms. Search volumes were especially high for skin cancer and melanoma in Australia compared with other countries. Comparisons between moderate melanoma incidence countries were less clear. CONCLUSIONS: Online skin cancer prevention campaigns should focus on the search terms sunburn and sunscreen, especially given the declining interest between 2004 and 2016 in the terms skin cancer and melanoma seen in multiple countries. Search term interests varied with melanoma outcomes and between countries, suggesting the importance of customizing approaches based on local population interests and geographic areas.

Leveraging Google Trends to investigate the global public interest in rheumatoid arthritis.

This study aims to investigate the global public interest in rheumatoid arthritis by evaluating search term popularity changes of the disease over a decade. Google Trends was applied to retrieve search popularity scores for the term 'rheumatoid arthritis' between January 2004 and December 2017, utilizing the category of "health". Overall, relative searches volume for rheumatoid arthritis steadily decreased from January 2004 to December 2010, and then slowly rose from January 2011 to December 2017. There were significant seasonal variations in relative searches volume for the term 'rheumatoid arthritis' (Amplitude = 3.11; Phase: Month = 4.3; Low point: Month = 10.3; p < 0.025). Relative searches volume peaked in April and reached the lowest level in October. The top 11 rising topics were scleroderma, Anna Marchesini, C-reaction protein, osteoarthritis, arthritis, joint pain, autoimmune disease, rheumatoid factor, rheumatology, methotrexate, and systemic lupus erythematosus, ranking from high to low by relative growth of topic regarding rheumatoid arthritis. In conclusion, the evidence from Google Trends analysis demonstrates a significant seasonal variation in rheumatoid arthritis, with a peak in April. In addition, the top rising search queries are beneficial for physicians to search the Internet themselves for websites that provide high-quality information to recommend to their patients.