scholarly journals Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data

2018 ◽  
Vol 5 (2) ◽  
pp. e43 ◽  
Author(s):  
Jonas Christoffer Tana ◽  
Jyrki Kettunen ◽  
Emil Eirola ◽  
Heikki Paakkonen
Keyword(s):  
Diurnal Variation ◽  
Search Engine ◽  
Help Seeking ◽  
Mood State ◽  
Diurnal Variations ◽  
Google Trends ◽  
Volume Data ◽  
Time Block ◽  
Positive Health ◽  
Hourly Data

Background Some of the temporal variations and clock-like rhythms that govern several different health-related behaviors can be traced in near real-time with the help of search engine data. This is especially useful when studying phenomena where little or no traditional data exist. One specific area where traditional data are incomplete is the study of diurnal mood variations, or daily changes in individuals’ overall mood state in relation to depression-like symptoms. Objective The objective of this exploratory study was to analyze diurnal variations for interest in depression on the Web to discover hourly patterns of depression interest and help seeking. Methods Hourly query volume data for 6 depression-related queries in Finland were downloaded from Google Trends in March 2017. A continuous wavelet transform (CWT) was applied to the hourly data to focus on the diurnal variation. Longer term trends and noise were also eliminated from the data to extract the diurnal variation for each query term. An analysis of variance was conducted to determine the statistical differences between the distributions of each hour. Data were also trichotomized and analyzed in 3 time blocks to make comparisons between different time periods during the day. Results Search volumes for all depression-related query terms showed a unimodal regular pattern during the 24 hours of the day. All queries feature clear peaks during the nighttime hours around 11 PM to 4 AM and troughs between 5 AM and 10 PM. In the means of the CWT-reconstructed data, the differences in nighttime and daytime interest are evident, with a difference of 37.3 percentage points (pp) for the term “Depression,” 33.5 pp for “Masennustesti,” 30.6 pp for “Masennus,” 12.8 pp for “Depression test,” 12.0 pp for “Masennus testi,” and 11.8 pp for “Masennus oireet.” The trichotomization showed peaks in the first time block (00.00 AM-7.59 AM) for all 6 terms. The search volumes then decreased significantly during the second time block (8.00 AM-3.59 PM) for the terms “Masennus oireet” (P<.001), “Masennus” (P=.001), “Depression” (P=.005), and “Depression test” (P=.004). Higher search volumes for the terms “Masennus” (P=.14), “Masennustesti” (P=.07), and “Depression test” (P=.10) were present between the second and third time blocks. Conclusions Help seeking for depression has clear diurnal patterns, with significant rise in depression-related query volumes toward the evening and night. Thus, search engine query data support the notion of the evening-worse pattern in diurnal mood variation. Information on the timely nature of depression-related interest on an hourly level could improve the chances for early intervention, which is beneficial for positive health outcomes.

scholarly journals Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data (Preprint)

2017 ◽  
Author(s):  
Jonas Christoffer Tana ◽  
Jyrki Kettunen ◽  
Emil Eirola ◽  
Heikki Paakkonen
Keyword(s):  
Diurnal Variation ◽  
Search Engine ◽  
Help Seeking ◽  
Mood State ◽  
Diurnal Variations ◽  
Google Trends ◽  
Volume Data ◽  
Time Block ◽  
Positive Health ◽  
Hourly Data

BACKGROUND Some of the temporal variations and clock-like rhythms that govern several different health-related behaviors can be traced in near real-time with the help of search engine data. This is especially useful when studying phenomena where little or no traditional data exist. One specific area where traditional data are incomplete is the study of diurnal mood variations, or daily changes in individuals’ overall mood state in relation to depression-like symptoms. OBJECTIVE The objective of this exploratory study was to analyze diurnal variations for interest in depression on the Web to discover hourly patterns of depression interest and help seeking. METHODS Hourly query volume data for 6 depression-related queries in Finland were downloaded from Google Trends in March 2017. A continuous wavelet transform (CWT) was applied to the hourly data to focus on the diurnal variation. Longer term trends and noise were also eliminated from the data to extract the diurnal variation for each query term. An analysis of variance was conducted to determine the statistical differences between the distributions of each hour. Data were also trichotomized and analyzed in 3 time blocks to make comparisons between different time periods during the day. RESULTS Search volumes for all depression-related query terms showed a unimodal regular pattern during the 24 hours of the day. All queries feature clear peaks during the nighttime hours around 11 PM to 4 AM and troughs between 5 AM and 10 PM. In the means of the CWT-reconstructed data, the differences in nighttime and daytime interest are evident, with a difference of 37.3 percentage points (pp) for the term “Depression,” 33.5 pp for “Masennustesti,” 30.6 pp for “Masennus,” 12.8 pp for “Depression test,” 12.0 pp for “Masennus testi,” and 11.8 pp for “Masennus oireet.” The trichotomization showed peaks in the first time block (00.00 AM-7.59 AM) for all 6 terms. The search volumes then decreased significantly during the second time block (8.00 AM-3.59 PM) for the terms “Masennus oireet” (P<.001), “Masennus” (P=.001), “Depression” (P=.005), and “Depression test” (P=.004). Higher search volumes for the terms “Masennus” (P=.14), “Masennustesti” (P=.07), and “Depression test” (P=.10) were present between the second and third time blocks. CONCLUSIONS Help seeking for depression has clear diurnal patterns, with significant rise in depression-related query volumes toward the evening and night. Thus, search engine query data support the notion of the evening-worse pattern in diurnal mood variation. Information on the timely nature of depression-related interest on an hourly level could improve the chances for early intervention, which is beneficial for positive health outcomes.

Discovering business information from search engine query data

2014 ◽  
Vol 38 (4) ◽  
pp. 562-574 ◽  
Author(s):  
Liwen Vaughan
Keyword(s):  
Search Engine ◽  
Business Performance ◽  
Google Trends ◽  
Volume Data ◽  
Content Type ◽  
Search Volume ◽  
Business Information ◽  
Position Data ◽  
Search Data ◽  
One Year

Purpose – The purpose of this paper is to examine the feasibility of discovering business information from search engine query data. Specifically the study tried to determine whether search volumes of company names are correlated with the companies’ business performance and position data. Design/methodology/approach – The top 50 US companies in the 2012 Fortune 500 list were included in the study. The following business performance and position data were collected: revenues, profits, assets, stockholders’ equity, profits as a percentage of revenues, and profits as a percentage of assets. Data on the search volumes of the company names were collected from Google Trends, which is based on search queries users enter into Google. Google Trends data were collected in the two scenarios of worldwide searches and US searches. Findings – The study found significant correlations between search volume data and business performance and position data, suggesting that search engine query data can be used to discover business information. Google Trends’ worldwide search data were better than the US domestic search data for this purpose. Research limitations/implications – The study is limited to only one country and to one year of data. Practical implications – Publicly available search engine query data such as those from Google Trends can be used to estimate business performance and position data which are not always publicly available. Search engine query data are timelier than business data. Originality/value – This is the first study to establish a relationship between search engine query data and business performance and position data.

3. On the Lunar Diurnal Variation of Magnetic Declination at Trevandrum, near the Magnetic Equator

1872 ◽  
Vol 7 ◽  
pp. 756-758
Author(s):  
J. A. Broun
Keyword(s):  
Diurnal Variation ◽  
Diurnal Variations ◽  
Magnetic Equator ◽  
Magnetic Declination ◽  
The Law ◽  
The Times

The author gives the results derived from different discussions of nearly eighty thousand observations, made hourly during the eleven years 1854 to 1864. They are as follows:—1. That the lunar diurnal variation consists of a double maximum and minimum in each month of the year.2. That in December and January the maxima occur near the times of the moon's upper and lower passages of the meridian; while in June and July they occur six hours later, the minima then occurring near the times of the two passages.3. The change of the law for December and January to that for June and July does not happen, as in the case of the solar diurnal variations, by leaps in the course of a month (those of March and October), but more or less gradually for the different maxima and minima.

scholarly journals ПОРІВНЯЛЬНИЙ АНАЛІЗ ПОПУЛЯРНОСТІ УКРАЇНСЬКИХ ЗАКЛАДІВ ВИЩОЇ ОСВІТИ В ІНТЕРНЕТІ

2021 ◽  
Author(s):  
Артур Кісьолек ◽  
Юлія Бондаренко ◽  
Соломія Огінок
Keyword(s):  
Search Engine ◽  
Google Trends ◽  
Search Engine Optimization

У статті визначено роль інтернет інструментів у популяризації закладів вищої освіти. Проаналізовано популярність українських закладів вищої освіти, використовуючи інструменти пошукової оптимізації SEO (search engine optimization). Розкривається роль і місце інтернет маркетингу в політиці закладів вищої освіти. Охарактеризовано основні проблеми процесу рейтингування закладів вищої освіти та його вплив на забезпечення стандартів якості вищої освіти. Проаналізовано можливий вплив інтернет маркетингу, зокрема через пошукове просування сайтів, на підвищення рейтингу сайту та загальної назви вишу через збільшення запитів. Також на основі академічного рейтингу "Топ-200 Україна 2020", авторами було обрано п’ять університетів технічного спрямування і визначено популярність їх власних назв в областях України у 2010 році і 2020 році на основі web-додатку Google Trends пошукової системи Googlе.

scholarly journals Variation of diurnal Turbulence Kinetic Energy using sonic anemometer observation: a case study Ledeng, Bandung

2018 ◽  
Author(s):  
Sandy Hardian Susanto Herho ◽  
Dasapta Erwin Irawan
Keyword(s):  
Kinetic Energy ◽  
Diurnal Variation ◽  
Wind Velocity ◽  
Sonic Anemometer ◽  
Diurnal Variations ◽  
Turbulence Kinetic Energy ◽  
Atmospheric Conditions

Sonic anemometer observation was performed on 29 - 30 September 2014 in Ledeng, Bandung to see diurnal variations of Turbulence Kinetic Energy (TKE) that occurred in this area. The measured sonic anemometer was the wind velocity components u, v, and w. From the observation result, it can be seen that the diurnal variation that happened was quite significant. The maximum TKE occurs during the daytime when atmospheric conditions tend to be unstable. TKE values were small at night when atmospheric conditions are more stable than during the daytime.

scholarly journals Diurnal Variations of CO2 Mixing Ratio in the Lower Atmosphere by Three Wavelength DIAL

2020 ◽  
Vol 237 ◽  
pp. 03011
Author(s):  
Yasukuni Shibata ◽  
Chikao Nagasawa ◽  
Makoto Abo
Keyword(s):  
Solar Radiation ◽  
Diurnal Variation ◽  
Diurnal Variations ◽  
The Other ◽  
Lower Atmosphere ◽  
Temperature Profiles ◽  
Mixing Ratio ◽  
Other Hand

We have conducted the measurement of high accurate CO2 mixing ratio profiles by measuring the temperature profiles simultaneously using the three wavelength CO2 DIAL. The measurements of CO2 diurnal variation in the lower atmosphere were carried out on sunny and cloudy days respectively. We find out that increasing of the CO2 mixing ratio occurs over the altitude of about 2 km from the surface during nighttime. On the other hand, the CO2 mixing ratio decreases over the lower atmosphere during daytime. In particular, the CO2 mixing ratio decreases earlier on sunny days than on cloudy days after sunrise. This result suggests that CO2 absorption by photosynthesis greatly contributes to the strength of the solar radiation.

Diurnal Variations in Olfactory Sensitivity and the Relationship to Food Intake

1994 ◽  
Vol 78 (1) ◽  
pp. 215-226 ◽  
Author(s):  
Harry S. Koelega
Keyword(s):  
Food Intake ◽  
Diurnal Variation ◽  
Diurnal Variations ◽  
Consistent Pattern ◽  
Olfactory Sensitivity ◽  
Group Data ◽  
The Future ◽  
The Relationship

At least a dozen studies have investigated the effects of food intake on olfactory sensitivity. Most studies reported the existence of food-related changes in sensitivity but the findings are highly discrepant. In the present study, earlier studies are reviewed, their shortcomings discussed, and the results of an experiment are reported. Using an air-dilution olfactometer, sensitivity to the odor of acetophenone was assessed throughout the day in seven subjects on four consecutive days, both with and without lunch. In the group data no consistent pattern of changes in sensitivity related to food intake was found, although some individual subjects showed a diurnal variation. Some suggestions are made enhancing the possibility that in the future a relationship between food intake and olfactory sensitivity may be observed.

scholarly journals The Diurnal Variations of GPS PWV near Poyang Lake in China during Midsummer

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Shanshan Wu ◽  
Haibo Zou ◽  
Junjie Wu
Keyword(s):  
Diurnal Variation ◽  
Global Positioning System ◽  
Diurnal Cycle ◽  
Poyang Lake ◽  
Precipitable Water ◽  
Diurnal Variations ◽  
Diurnal Cycles ◽  
Global Positioning ◽  
Variance Contribution ◽  
Gps Observation

With the 1 h-averaged data of atmospheric precipitable water vapor (PWV) for 2015–2018 retrieved from 18 ground-based Global Positioning System (GPS) observation stations near Poyang Lake (PL), China, the diurnal variations of the PWV during midsummer (July-August) are studied by the harmonic method. Results show that significant diurnal variations of PWV are found at the 18 GPS stations. The harmonics with 24 h cycle (diurnal cycle) over PL (i.e., Duchang and Poyang) and Nanchang city only have about 50% (or even smaller than 50%) of variance contribution with the amplitude of about 0.2 mm, while above 70% (or even 80%) of variance contribution occurs elsewhere around PL, with the amplitude of about 0.9 mm. The harmonics with diurnal cycles in most stations peak from afternoon to evening (i.e., 1200-2000 LST), but one exception is Duchang site, where the diurnal cycle peaks in the morning (i.e., 1000 LST). Moreover, the harmonics with 12 h cycle (semidiurnal cycle) have the relatively uniform amplitude of about 0.2 mm, but their variance contributions show uneven distribution, with the contributions of about or above 50% in PL and Nanchang city (the semidiurnal cycles peak about 0000 LST or 1200 LST) and below 30% (or even 10%) in other areas. The preliminary diagnosis analysis shows that the diurnal variation of the low-level (below 850 hPa) air temperature (increasing after the sunrise, decreasing after the sunset, and peaking around 1400-1800 LST) may be responsible for the diurnal cycle. Moreover, in PL (Duchang and Poyang) and Nanchang city, the effects (heating or cooling) of lake and urban, the diurnal variation of the 10 m wind over PL, and the acceleration of PL on overlying air also contributed to the diurnal variation of PWV.

Seasonal and diurnal variations of geomagnetic activity and their role in Space Weather forecast

2001 ◽  
Vol 79 (6) ◽  
pp. 907-920 ◽  
Author(s):  
W Lyatsky ◽  
A M Hamza
Keyword(s):  
Solar Wind ◽  
Seasonal Variation ◽  
Diurnal Variation ◽  
Geomagnetic Activity ◽  
Space Weather ◽  
Weather Forecast ◽  
Diurnal Variations ◽  
Ionospheric Conductivity ◽  
Solar Wind Parameters ◽  
Possible Cause

A possible test for different models explaining the seasonal variation in geomagnetic activity is the diurnal variation. We computed diurnal variations both in the occurrence of large AE (auroral electrojet) indices and in the AO index. (AO is the auroral electrojet index that provides a measure of the equivalent zonal current.) Both methods show a similar diurnal variation in geomagnetic activity with a deep minimum around (3–7) UT (universal time) in winter and a shallower minimum near 5–9 UT in equinoctial months. The observed UT variation is consistent with the results of other scientists, but it is different from that expected from the Russell–McPherron mechanism proposed to explain the seasonal variation. It is suggested that the possible cause for the diurnal and seasonal variations may be variations in nightside ionospheric conductivity. Recent experimental results show an important role for ionospheric conductivity in particle acceleration and geomagnetic disturbance generation. They also show that low ionospheric conductivity is favorable to the generation of auroral and geomagnetic activity. The conductivity in conjugate nightside auroral zones (where substorm generation takes place) is minimum at equinoxes, when both auroral zones are in darkness. The low ionospheric conductivity at equinoxes may be a possible cause for the seasonal variation in the geomagnetic activity with maxima in equinoctial months. The diurnal variation in geomagnetic activity can be produced by the UT variation in the nightside ionospheric conductivity, which in winter and at equinoxes has a maximum around 4–5 UT that may lead to a minimum in geomagnetic activity at this time. We calculated the correlation patterns for the AE index versus solar-wind parameters inside and outside the (2–7) UT sector related to the minimum in geomagnetic activity. The correlation patterns appear different in these two sectors indeed, which is well consistent with the UT variation in geomagnetic activity. It also shows that it is possible to improve significantly the reliability of the Space Weather forecast by taking into account the dependence of geomagnetic activity not only on solar-wind parameters but also on UT and season. Our test shows that a simple account for the dependence of geomagnetic activity on UT can improve the reliability of the Space Weather forecast by at least 50% in the 2–7 UT sector in winter and equinoctial months. PACS No.: 91.25Le

Search engines: From social science objects to academic inquiry tools

First Monday ◽  
2014 ◽  
Author(s):  
Filippo Trevisan
Keyword(s):  
Social Science ◽  
Research Methods ◽  
Search Engine ◽  
Search Engines ◽  
Social Research ◽  
Google Trends ◽  
Challenges And Opportunities ◽  
Research Questions ◽  
The Relationship ◽  
Field Of Inquiry

This paper discusses the challenges and opportunities involved in incorporating publicly available search engine data in scholarly research. In recent years, an increasing number of researchers have started to include tools such as Google Trends (http://google.com/trends) in their work. However, a central ‘search engine’ field of inquiry has yet to emerge. Rather, the use of search engine data to address social research questions is spread across many disciplines, which makes search valuable across fields but not critical to any one particular area. In an effort to stimulate a comprehensive debate on these issues, this paper reviews the work of pioneering scholars who devised inventive — if experimental — ways of interpreting data generated through search engine accessory applications and makes the point that search engines should be regarded not only as central objects of research, but also as fundamental tools for broader social inquiry. Specific concerns linked to this methodological shift are identified and discussed, including: the relationship with other, more established social research methods; doubts over the representativeness of search engine data; the need to contextualize publicly available search engine data with other types of evidence; and the limited granularity afforded to researchers by tools such as Google Trends. The paper concludes by reflecting on the combination of search engine data with other forms of inquiry as an example of arguably inelegant yet innovative and effective ‘kludgy’ design (Karpf, 2012).

Sign in / Sign up

Export Citation Format

Share Document