scholarly journals The Association Between Internet Searches and Moisturizer Prescription in Japan: Retrospective Observational Study (Preprint)

2018 ◽  
Author(s):  
Wataru Mimura ◽  
Manabu Akazawa
Keyword(s):  
Correlation Coefficient ◽  
Skin Diseases ◽  
Moving Average ◽  
Seasonal Pattern ◽  
Google Trends ◽  
Related Information ◽  
Pharmacy Claims ◽  
Health Related ◽  
Search Data ◽  
Internet Searches

BACKGROUND Heparinoid is a medication prescribed in Japan for skin diseases, such as atopic dermatitis and dry skin. Heparinoid prescription has increased with instances of internet blogs recommending its use as a cosmetic. OBJECTIVE This study aimed to examine the prescription trends in moisturizer use and analyze their association with internet searches. METHODS We used a claims database to identify pharmacy claims of heparinoid-only prescriptions in Japan. Additionally, we used Google Trends to obtain internet search data for the period between October 1, 2007, and September 31, 2017. To analyze the association between heparinoid prescriptions and internet searches, we performed an autoregressive integrated moving average approach for each time series. RESULTS We identified 155,733 patients who had been prescribed heparinoid. The number of prescriptions increased from 2011 onward, and related internet searches increased from 2012 onward. Internet searches were significantly correlated with total heparinoid prescription (correlation coefficient=.25, <italic>P</italic>=.005). In addition, internet searches were significantly correlated with heparinoid prescription in those aged 20-59 years at –1-month lag in Google Trends (correlation coefficient=.30, <italic>P</italic>=.001). CONCLUSIONS Google searches related to heparinoid prescriptions showed a seasonal pattern and increased gradually over the preceding several years. Google searches were positively correlated with prescription trends. In addition, in a particular age group (20-59 years), prescriptions increased with the increase in internet searches. These results suggest that people obtained health-related information on the internet and that this affected their behavior and prescription requests.

scholarly journals The Association Between Internet Searches and Moisturizer Prescription in Japan: Retrospective Observational Study

10.2196/13212 ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. e13212 ◽  
Author(s):  
Wataru Mimura ◽  
Manabu Akazawa
Keyword(s):  
Correlation Coefficient ◽  
Skin Diseases ◽  
Moving Average ◽  
Seasonal Pattern ◽  
Google Trends ◽  
Related Information ◽  
Pharmacy Claims ◽  
Health Related ◽  
Search Data ◽  
Internet Searches

Background Heparinoid is a medication prescribed in Japan for skin diseases, such as atopic dermatitis and dry skin. Heparinoid prescription has increased with instances of internet blogs recommending its use as a cosmetic. Objective This study aimed to examine the prescription trends in moisturizer use and analyze their association with internet searches. Methods We used a claims database to identify pharmacy claims of heparinoid-only prescriptions in Japan. Additionally, we used Google Trends to obtain internet search data for the period between October 1, 2007, and September 31, 2017. To analyze the association between heparinoid prescriptions and internet searches, we performed an autoregressive integrated moving average approach for each time series. Results We identified 155,733 patients who had been prescribed heparinoid. The number of prescriptions increased from 2011 onward, and related internet searches increased from 2012 onward. Internet searches were significantly correlated with total heparinoid prescription (correlation coefficient=.25, P=.005). In addition, internet searches were significantly correlated with heparinoid prescription in those aged 20-59 years at –1-month lag in Google Trends (correlation coefficient=.30, P=.001). Conclusions Google searches related to heparinoid prescriptions showed a seasonal pattern and increased gradually over the preceding several years. Google searches were positively correlated with prescription trends. In addition, in a particular age group (20-59 years), prescriptions increased with the increase in internet searches. These results suggest that people obtained health-related information on the internet and that this affected their behavior and prescription requests.

scholarly journals Heartburn-Related Internet Searches and Trends of Interest across Six Western Countries: A Four-Year Retrospective Analysis Using Google Ads Keyword Planner

2019 ◽  
Vol 16 (23) ◽  
pp. 4591 ◽  
Author(s):  
Kamiński ◽  
Łoniewski ◽  
Misera ◽  
Marlicz
Keyword(s):  
United States ◽  
United Kingdom ◽  
Seasonal Pattern ◽  
The United States ◽  
Epidemiological Studies ◽  
The Past ◽  
Related Information ◽  
The United Kingdom ◽  
Health Related ◽  
Internet Searches

The internet is becoming the main source of health-related information. We aimed to investigate data regarding heartburn-related searches made by Google users from Australia, Canada, Germany, Poland, the United Kingdom, and the United States. We retrospectively analyzed data from Google Ads Keywords Planner. We extracted search volumes of keywords associated with “heartburn” for June 2015 to May 2019. The data were generated in the respective primary language. The number of searches per 1,000 Google-user years was as follows: 177.4 (Australia), 178.1 (Canada), 123.8 (Germany), 199.7 (Poland), 152.5 (United Kingdom), and 194.5 (United States). The users were particularly interested in treatment (19.0 to 41.3%), diet (4.8 to 10.7%), symptoms (2.6 to 13.1%), and causes (3.7 to 10.0%). In all countries except Germany, the number of heartburn-related queries significantly increased over the analyzed period. For Canada, Germany, Poland, and the United Kingdom, query numbers were significantly lowest in summer; there was no significant seasonal trend for Australia and the United States. The number of heartburn-related queries has increased over the past four years, and a seasonal pattern may exist in certain regions. The trends in heartburn-related searches may reflect the scale of the complaint, and should be verified through future epidemiological studies.

Assessing E-Government Success Strategies using Internet Search Data

2013 ◽  
pp. 289-307
Author(s):  
Katherine M. Boland ◽  
John G. McNutt
Keyword(s):  
Longitudinal Data ◽  
Google Trends ◽  
Success Strategies ◽  
Internet Search ◽  
Dynamic Nature ◽  
Government Programs ◽  
Search Data ◽  
Research Questions ◽  
Internet Searches ◽  
Citizen Response

Evaluating e-government programs can be a challenging task. While determining program features and capacity are relatively straightforward processes, exploring the more dynamic nature of citizen response to e-government is difficult. Fortunately, recent advances in Internet search technology offer researchers new opportunities to address these research questions. Innovations, such as Google Trends and Google Insights for Search, have made longitudinal data on Internet searches accessible to scholars. The availability of this data opens a number of possible research avenues regarding e-government.

scholarly journals Is Google Trends a reliable way to determine digital dental epidemiology?

2021 ◽  
Vol 11 (Suppl. 1) ◽  
pp. 38-46
Author(s):  
Devrim Deniz Üner ◽  
Bozan Serhat İzol
Keyword(s):  
Native Speakers ◽  
Google Trends ◽  
Depth Information ◽  
Search Query ◽  
The United Kingdom ◽  
Internet Users ◽  
Health Related ◽  
Search Data ◽  
Native Speakers Of English ◽  
New Phenomena

Aim: Google Trends, which allows Internet users to interact with and search data, can provide in-depth information about new phenomena regarding population and health-related behavior and is a tool that can be accessed free of charge. With the widespread use of dental implants in almost every country in the world today, an increase has also been reported in the prevalence of peri-implantitis (PP), which is a peri-implant disease. The aim of this study is to determine whether the rates of PP that were obtained from previous studies on this disease are in line with the data obtained using Google Trends. Methodology: Using observational, ecological research, we searched Google Trends for the following query terms: peri implantitis + periimplantitis, to obtain the volume of this Internet search query. The queries were searched within Spain (ES), Germany (DE), the Netherlands (NL), the United Kingdom (UK), and Turkey from January 2010 to December 2019. Results: An examination of the search results for “peri-implantitis + peri-implantitis” on Google Trends found that the largest numbers of searches for these words were made from the country of ES, and the smallest numbers were made from Turkey. It took two years to make forecasts based on the results, and the study determined that there has been a change in the trends in countries that were searched for these words. Also, the results obtained in previous studies for the prevalence of peri-implantitis were not similar to the data obtained from Google Trends. Conclusion: We concluded in this study that Google Trends is not a reliable tool for dental epidemiology.   How to cite this article: Üner DD, İzol BS. Is Google Trends a reliable way to determine digital dental epidemiology? Int Dent Res 2021;11(Suppl.1):38-46. https://doi.org/10.5577/intdentres.2021.vol11.suppl1.7   Linguistic Revision: The English in this manuscript has been checked by at least two professional editors, both native speakers of English.

Assessing E-Government Success Strategies using Internet Search Data

2015 ◽  
pp. 1151-1169
Author(s):  
Katherine M. Boland ◽  
John G. McNutt
Keyword(s):  
Longitudinal Data ◽  
Google Trends ◽  
Success Strategies ◽  
Internet Search ◽  
Dynamic Nature ◽  
Government Programs ◽  
Search Data ◽  
Research Questions ◽  
Internet Searches ◽  
Citizen Response

Evaluating e-government programs can be a challenging task. While determining program features and capacity are relatively straightforward processes, exploring the more dynamic nature of citizen response to e-government is difficult. Fortunately, recent advances in Internet search technology offer researchers new opportunities to address these research questions. Innovations, such as Google Trends and Google Insights for Search, have made longitudinal data on Internet searches accessible to scholars. The availability of this data opens a number of possible research avenues regarding e-government.

Googling for general anesthesia in the era of anesthesia 2.0: insights from a mathematical model of Google Trends-generated data (Preprint)

2019 ◽  
Author(s):  
Nicola Bragazzi
Keyword(s):  
General Anesthesia ◽  
Information And Communication Technologies ◽  
Regional Anesthesia ◽  
Digital Health ◽  
Communication Technologies ◽  
Google Trends ◽  
Related Information ◽  
Health Related ◽  
Information And Communication ◽  
Computational Resources

BACKGROUND Recent progresses in information and communication technologies (ICTs), such as the Web 2.0 and advanced computational resources, have lead to Anesthesia 2.0. More and more patients access and surf the Internet for seeking health-related information, within the framework of digital health or e-health. OBJECTIVE Interest towards anesthesia was explored. METHODS Google Trends (GT), a freely available tool, was used to track this behavior. RESULTS Digital interest towards general anesthesia increases throughout the time and is mainly concentrated in Asia. Differently, interest towards regional anesthesia and anesthesia are decreasing or remain flat throughout the years. Scholar output is constantly increasing, more for general anesthesia than for regional anesthesia. CONCLUSIONS Implications for anesthesiologists are envisaged.

scholarly journals Dynamic forecasting of Zika epidemics using Google Trends

2016 ◽  
Author(s):  
Yue Teng ◽  
Dehua Bi ◽  
Guigang Xie ◽  
Guigang Xie ◽  
Yuan Jin ◽  
...  
Keyword(s):  
Zika Virus ◽  
Virus Disease ◽  
Moving Average ◽  
Arima Model ◽  
Forecast Model ◽  
Google Trends ◽  
Forecasting Model ◽  
Online Search ◽  
Search Data ◽  
Dynamic Forecasting

AbstractWe developed a dynamic forecasting model for Zika virus (ZIKV), based on real-time online search data from Google Trends (GTs). It was designed to provide Zika virus disease (ZVD) surveillance for Health Departments with early warning, and predictions of numbers of infection cases, which would allow them sufficient time to implement interventions. We used correlation data from ZIKV epidemics and Zika-related online search in GTs between 12 February and 25 August 2016 to construct an autoregressive integrated moving average (ARIMA) model (0, 1, 3) for the dynamic estimation of ZIKV outbreaks. The online search data acted as an external regressor in the forecasting model, and was used with the historical ZVD epidemic data to improve the quality of the predictions of disease outbreaks. Our results showed a strong correlation between Zika-related GTs and the cumulative numbers of reported cases, both confirmed and suspected (both p<0.001; Pearson Product-Moment Correlation analysis). The predictive cumulative numbers of confirmed and suspected cases increased steadily to reach 148,510 (95% CI: 126,826-170,195) and 602,721 (95% CI: 582,753-622,689), respectively, in 21 October 2016. Integer-valued autoregression provides a useful base predictive model for ZVD cases. This is enhanced by the incorporation of GTs data, confirming the prognostic utility of search query based surveillance. This accessible and flexible dynamic forecast model could be used in the monitoring of ZVD to provide advanced warning of future ZIKV outbreaks.

scholarly journals Increasing Utility of Google Trends in Monitoring Cardiovascular Disease

2021 ◽  
Author(s):  
Conor Senecal ◽  
Madeline Mahowald ◽  
Lilach Lerman ◽  
Francisco Lopez-Jimenez ◽  
Amir Lerman
Keyword(s):  
United States ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Strong Correlation ◽  
The United States ◽  
Google Trends ◽  
Online Search ◽  
Health Related ◽  
Search Data ◽  
Over Time

Abstract Introduction: Cardiovascular disease is the most common cause of morbidity and mortality in the United States and in the world. Patients are increasingly using internet search to find health-related information, including searches for cardiovascular diseases and risk factors. We sought to evaluate the change in the state by state correlation of cardiovascular disease and risk factors with Google Trends search volumes. Methods: Data on cardiovascular disease hospitalizations and risk factor prevalence were obtained from the publically available CDC website from 2006-2018. Google Trends data were obtained for matching conditions and time periods. Simple linear regression was performed to evaluate for an increase in correlation over time. Results: Hospitalizations for six separate cardiovascular disease conditions showed moderate to strong correlation with online search data in the last period studied (heart failure (0.58, P<0.001), atrial fibrillation (0.57, P<0.001), coronary heart disease (0.58, P<0.001), myocardial infarction (0.70, P<0.001), stroke (0.62, P<0.001), cardiac dysrhythmia (0.46, P<0.001)). All diseases studied showed a positive increase in correlation throughout the time period studied (P<0.05). All five of the cardiovascular risk factors studied showed strong correlation with online search data; diabetes (R=0.78, P<0.001), cigarette use (R=0.79, P<0.001), hypertension (R=0.81, P<0.001), high cholesterol (R=0.59, P<0.001), obesity (R=0.80, P<0.001). Three of the five showed an increasing correlation over time. Conclusion: The prevalence of and hospitalizations for cardiovascular conditions in the United States strongly correlate with online search volumes nationwide and when analyzed by state. This relationship has progressively strengthened or been strong and stable over recent years for these conditions. Google Trends represents an increasingly valuable tool for evaluating the burden of cardiovascular disease and risk factors in the United States.

scholarly journals Using Google Trends to Predict COVID-19 Vaccinations and Monitor Search Behaviours about Vaccines: A Retrospective Analysis of Italian Data

Vaccines ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 119
Author(s):  
Andrea Maugeri ◽  
Martina Barchitta ◽  
Antonella Agodi
Keyword(s):  
Qualitative Analysis ◽  
Community Dynamics ◽  
Vaccination Campaign ◽  
Google Trends ◽  
Strong Correlations ◽  
Search Behaviour ◽  
Health Related ◽  
Internet Searches ◽  
Over Time ◽  
In Pregnancy

Google Trends data are an efficient source for analysing internet search behaviour and providing valuable insights into community dynamics and health-related problems. In this article, we aimed to evaluate if Google Trends data could help monitor the COVID-19 vaccination trend over time and if the introduction of COVID-19 vaccines modified the interest of pregnant women in vaccination. Data related to Google internet searches and the number of vaccine doses administered in Italy were used. We found moderate to strong correlations between search volumes of vaccine-related terms and the number of vaccines administered. In particular, a model based on Google Trends with a 3-week lag showed the best performance in fitting the number of COVID-19 vaccinations over time. We also observed that the introduction of COVID-19 vaccines affected the search interest for the argument “vaccination in pregnancy” both quantitatively and qualitatively. There was a significant increase in the search interest after the launch of the COVID-19 vaccination campaign in Italy. Qualitative analysis suggested that this increase was probably due to concerns about COVID-19 vaccines. Thus, our study suggests the benefits of using Google Trends data to predict the number of COVID-19 vaccine doses administered, and to monitor feelings about vaccination.

scholarly journals Fluctuation of Public Interest in COVID-19 in the United States: Retrospective Analysis of Google Trends Search Data

10.2196/19969 ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e19969 ◽  
Author(s):  
Iltifat Husain ◽  
Blake Briggs ◽  
Cedric Lefebvre ◽  
David M Cline ◽  
Jason P Stopyra ◽  
...  
Keyword(s):  
United States ◽  
Public Interest ◽  
The United States ◽  
Mitigation Strategies ◽  
Google Trends ◽  
Control Search ◽  
Geographical Regions ◽  
Health Initiatives ◽  
Search Data ◽  
Internet Searches

Background In the absence of vaccines and established treatments, nonpharmaceutical interventions (NPIs) are fundamental tools to control coronavirus disease (COVID-19) transmission. NPIs require public interest to be successful. In the United States, there is a lack of published research on the factors that influence public interest in COVID-19. Using Google Trends, we examined the US level of public interest in COVID-19 and how it correlated to testing and with other countries. Objective The aim of this study was to determine how public interest in COVID-19 in the United States changed over time and the key factors that drove this change, such as testing. US public interest in COVID-19 was compared to that in countries that have been more successful in their containment and mitigation strategies. Methods In this retrospective study, Google Trends was used to analyze the volume of internet searches within the United States relating to COVID-19, focusing on dates between December 31, 2019, and March 24, 2020. The volume of internet searches related to COVID-19 was compared to that in other countries. Results Throughout January and February 2020, there was limited search interest in COVID-19 within the United States. Interest declined for the first 21 days of February. A similar decline was seen in geographical regions that were later found to be experiencing undetected community transmission in February. Between March 9 and March 12, 2020, there was a rapid rise in search interest. This rise in search interest was positively correlated with the rise of positive tests for SARS-CoV-2 (6.3, 95% CI −2.9 to 9.7; P<.001). Within the United States, it took 52 days for search interest to rise substantially after the first positive case; in countries with more successful outbreak control, search interest rose in less than 15 days. Conclusions Containment and mitigation strategies require public interest to be successful. The initial level of COVID-19 public interest in the United States was limited and even decreased during a time when containment and mitigation strategies were being established. A lack of public interest in COVID-19 existed in the United States when containment and mitigation policies were in place. Based on our analysis, it is clear that US policy makers need to develop novel methods of communicating COVID-19 public health initiatives.

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