Seasonal trends in sleep-disordered breathing: evidence from Internet search engine query data

Ingram, David G.; Matthews, Camilla K.; Plante, David T.

doi:10.1007/s11325-014-0965-1

Cited by 34 publications

(29 citation statements)

References 34 publications

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“…A popular tool for big data mining is represented by Google Trends (GT), which allows users to explore oscillations in public interest, by selecting filters on geographical location and time [14]. Owing to these circumstances, it is not surprising that many health-related issues have already been associated with internet-search peaks in recent years to complement traditional data sources [15][16][17][18][19][20][21][22]. Noteworthy, previous studies on nose bleeding and GT suffered from two major methodological shortcomings: First, no systematical approach Electronic supplementary material The online version of this article (https ://doi.org/10.1007/s0040 5-020-05915 -x) contains supplementary material, which is available to authorized users.…”

Section: Introductionmentioning

confidence: 99%

Winter peaks in web-based public inquiry into epistaxis

Liu

Besser

Parzefall

et al. 2020

Eur Arch Otorhinolaryngol

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Purpose Epistaxis represents the most frequent ear, nose, throat-related emergency symptom. Seasonal variation in epistaxis incidence, with peaks during winter months, is widely accepted, although the literature itself remains inconclusive. The objective of this study was to evaluate public inquiry into nose bleeding, by considering Google-based search query frequency on "Epistaxis"-related search terms and to assess possible seasonal variations globally. Results Graphical representation revealed seasonal variations with peaks during winter months in the majority of countries included. Subsequent cosinor analysis revealed these variations to be significant (all p < 0.001). Conclusion Public interest in seeking epistaxis-related information through the Internet displayed seasonal patterns in countries from both hemispheres, with the highest interest during winter months. Further studies exploring causality with environmental factors are warranted.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Section: Introductionmentioning

confidence: 99%

Winter peaks in web-based public inquiry into epistaxis

Liu

Besser

Parzefall

et al. 2020

Eur Arch Otorhinolaryngol

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“…We used the Google Trends tool to look at seasonal changes in interest in HT across Poland. A similar search was done regarding obstructive sleep disorder breathing, showing large differences depending on the time of the year [15]. It is worth mentioning that comorbidities accompanying HT tend to exacerbate in the winter months [16][17][18].…”

Section: Discussionmentioning

confidence: 99%

Seasonal trends in hypertension in Poland: evidence from Google search engine query data

et al. 2018

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A b s t r a c tBackground: Various conditions, including arterial hypertension, exhibit seasonal trends in their occurrence and magnitude. Those trends correspond to an interest exhibited in the number of Internet searches for the specific conditions per month. Aim:The aim of the study was to show seasonal trends in the hypertension prevalence in Poland relate to the data from the Google Trends tool. Methods:Internet search engine query data were retrieved from Google Trends from January 2008 to November 2017. Data were calculated as a monthly normalised search volume from the nine-year period. Data was presented for specific geographic regions, including Poland, the United States of America, Australia, and worldwide for the following search terms: "arterial hypertension (pol. nadciśnienie tętnicze)", "hypertension (pol. nadciśnienie)" and "hypertension medical condition". Seasonal effects were calculated using regression models and presented graphically.

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“…The monthly data used in this study were gathered by manually organizing every Similar to existing studies analyzing the seasonal trends of health status utilizing network data (19,20,21), the cosinor analysis was applied to validate the hypothesis that the RSV of cancer recurrence displays significant seasonality during the period of study. The cosinor analysis and the software used for execution are given a detailed description elsewhere (22).…”

Section: Google Trends Search and Data Collectionmentioning

confidence: 99%

“…Given that the cosinor model is part of a generalized linear model, we could calculate the statistical significance of any seasonal trends. Since the seasonal component of the sinusoid is consist of sine and cosine, all represented p values are the half of the original p value for the purpose of correcting for multiple comparisons (19,20). Namely, the adjusted statistical significance p value is p < 0.025.…”

Section: Google Trends Search and Data Collectionmentioning

confidence: 99%

Seasonal Variation in the Internet Searches for Cancer Recurrence: An Infodemiological Study

Lou

Zhang

et al. 2019

Preprint

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Background While few clinical and epidemiological studies have assessed how seasonality affects cancer recurrence, it has not been studied with the utility of the internet data. In this study, we aim to test whether cancer recurrence presents seasonality on a population level, utilizing internet search query data.Methods This infodemiological study used Google Trends to find query data for the term "cancer recurrence" from January 01, 2004, to December 31, 2018 in the USA, the UK, Canada, and Australia. Time series seasonal decomposition and the cosinor analysis were used to analyze and describe the seasonal trends for cancer recurrence.Results A general upward trend in UK and northern hemisphere were observed. Statistically significant seasonal trends on "cancer recurrence" in the USA (p=1.33×10 -5 ), the UK (p=0.012), and northern hemisphere (p=5.67×10 -7 ) were revealed by cosinor analysis, with a peak in early summer and nadir in early winter.Besides, a seasonal variation was also found in Australia (p=2.3×10 -4 ), with a peak in late summer and nadir in late winter. ConclusionsThe evidence from internet search query data showed a seasonal variation in cancer recurrence, with a peak in early summer(northern hemisphere)/late summer(southern hemisphere). Besides, the relative search volume of "cancer recurrence" appeared a general upward trend in UK and northern hemisphere in recent years.

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Seasonal trends in sleep-disordered breathing: evidence from Internet search engine query data

Cited by 34 publications

References 34 publications

Winter peaks in web-based public inquiry into epistaxis

Winter peaks in web-based public inquiry into epistaxis

Seasonal trends in hypertension in Poland: evidence from Google search engine query data

Seasonal Variation in the Internet Searches for Cancer Recurrence: An Infodemiological Study

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