"Dr Google" will see you now - time trends in online searches on headache

Infodemiology of cluster headache seasonality: A proof of concept by a Google Trends analysis

BACKGROUND

Cluster headache is commonly reported to follow an annual pattern with a peak in the spring and a second peak in autumn. Patients with headache frequently use search engines, such as Google, to look for terms related to their disease, creating trend data that can be analyzed with Google Trends. Indeed, Google Trends has been used for surveillance studies and can provide indirect estimates of the burden of diseases and symptoms. The present cross-sectional study investigated the seasonality of searches for "cluster headache" in the northern and southern hemispheres using 10 years of Google Trends data.

METHODS

The term "cluster headache" or its translation in the 10 most spoken languages in the world was searched on Google Trends to obtain relative search volumes (from 0 to 100), in order to compare variations in searches across periods. Twenty-eight countries were selected according to the following criteria: (1) a relative search volume of >40 for the term for cluster headache; and (2) a population of at least 5 million inhabitants. For statistical purposes, countries were grouped in relation to hemisphere (northern or southern). Relative search volumes were extracted from January 2012 to January 2022 and analyzed according to two subgroups based on meteorological seasons (summer and winter vs. spring and autumn).

RESULTS

A seasonal trend for in searches for cluster headache was found worldwide exhibiting higher relative search volumes in spring and autumn compared with summer and winter (17 [0, 39] vs. 13 [0, 37]; p = 0.016).

CONCLUSION

Higher search volumes for the term during the meteorological seasons of spring and autumn clearly reflect a circannual pattern of cluster headache occurrence, representing new evidence for its seasonality.

Using Search Engine Data to Explore Interest in PrEP and HIV Testing in the United States

We used Google search data from January 1, 2014 to January 1, 2019 to explore public awareness of pre-exposure prophylaxis (PrEP) and HIV testing in the United States. Using two search strings, one for PrEP and one for HIV testing, we compared search volume to state HIV prevalence and new HIV diagnoses. We also used Google News to identify news events related to short-term spikes in search volume. Controlling for poverty, education, and internet access, a one-unit increase in a state's HIV prevalence rate was associated with a 3% increase in PrEP search volume (aPR = 1.03 [1.034, 1.037], P < 0.0001) and HIV testing search volume (aPR = 1.03 [1.030, 1.032], P < 0.0001). Short-term search volume spikes also coincided with celebrity news and pharmaceutical company advertising. We demonstrate that search engine data can be a powerful tool for understanding HIV knowledge-seeking and can provide key insight to the events that drive public interest about HIV online.

Readability Analysis of Online Headache and Migraine Information

BACKGROUND

Although migraine is recognized as one of the most common and disabling diseases in the world, it is nonetheless still underestimated, underdiagnosed, and undertreated. The fact that migraine patients often tend to access the Web to search for headache-related information hinders patient-doctor relationships and one should also bear in mind that, unfortunately, text readability and medical literacy in the overall population may be the reason why patients' understanding of health information is compromised.

AIM

We aimed to assess the readability of the home page of the top 10 patient - oriented migraine-related websites and the educational level required to be in a position to broach them.

METHODS

On April 15, 2018, we conducted a descriptive study on the international version of Google by entering the words "headache" and "migraine." We then analyzed the overall level of readability of texts of the home pages of the top 10 patient-oriented websites, by means of the Simple Measure of Gobbledygook Readability Calculator.

RESULTS

Entering "headache" on the home pages of the top 10 patient-oriented websites on Google we found that to understand these particular websites with ease, an average grade level of 12.4 (±1.5 standard deviation, SD) and an average 13.3 years of formal education (±1.7 SD) were required. Similarly, typing "migraine" on Google we found an average grade level of 10.8 (±1.2 SD) and an average of 12.5 years of formal education (±1.9 SD) were required. The most frequently viewed websites all failed to meet the USA National Institutes of Health guidelines, which recommend a range between 6th and 7th grade level readability.

DISCUSSION

The present study shows the low readability level resulting from the top 10 patient-oriented headache/migraine websites and the consequent barrier this creates in the dissemination of headache/migraine-related medical information. Although the actual physicians, both primary care physicians and headache specialists are the principal source of understandable headache-related information, only a minority of people consult these professionals. Given the foregoing, the majority of migraine patients is, therefore, unable to obtain adequate comprehensible health information on the Web. Furthermore, the existing gap between migraine-related website content readability and the unmet need for migraine patients to obtain pertinent and correct information might well contribute to the worldwide neglect of migraine as a major public health problem.

CONCLUSION

Physician experts in headache and migraine should actively cooperate in planning informative material to establish what information patients need to know, how they should use it, and how readable that material actually is. Readability ought to be established before the final website publication. Plain language ought to be used and written messages should be supplemented with visual content such as simple drawings. We recommend the setting up of a new dynamic, modern, plain-talking, and efficient approach in communication aimed at catching the public's attention with its readability and thus satisfying a migraine and headache web scenario.

"Dr. Google, I am in Pain"-Global Internet Searches Associated with Pain: A Retrospective Analysis of Google Trends Data

We aimed to rank the most common locations of pain among Google users globally and locally and analyze secular and seasonal trends in pain-related searches in the years 2004–2019. We used data generated by Google Trends (GT) to identify and analyze global interest in topics (n = 24) related to locations of pain and how these progressed over time. We analyzed secular trends and time series decomposition to identify seasonal variations. We also calculated the interest in all topics with reference to the relative search volume (RSV) of “Abdominal pain”. Google users were most commonly interested in “Headache” (1.30 [times more frequently than “Abdominal pain”]), “Abdominal pain” (1.00), and “Back pain” (0.84). “Headache” was the most frequent search term in n = 41 countries, while “Abdominal pain” was the most frequent term in n = 27 countries. The interest in all pain-related topics except “Dyspareunia” increased over time. The sharpest increase was observed for “Abdominal pain” (5.67 RSV/year), and “Toothache” (5.52 RSV/year). Most of the topics revealed seasonal variations. Among pain-related topics, “Headache,” “Abdominal pain,” and “Back pain” interested most Google users. GT is a novel tool that allows retrospective investigation of complaints among Internet users.

Relationship Between State-Level Google Online Search Volume and Cancer Incidence in the United States: Retrospective Study

Background

In the United States, cancer is common, with high morbidity and mortality; cancer incidence varies between states. Online searches reflect public awareness, which could be driven by the underlying regional cancer epidemiology.

Objective

The objective of our study was to characterize the relationship between cancer incidence and online Google search volumes in the United States for 6 common cancers. A secondary objective was to evaluate the association of search activity with cancer-related public events and celebrity news coverage.

Methods

We performed a population-based, retrospective study of state-level cancer incidence from 2004 through 2013 reported by the Centers for Disease Control and Prevention for breast, prostate, colon, lung, and uterine cancers and leukemia compared to Google Trends (GT) relative search volume (RSV), a metric designed by Google to allow interest in search topics to be compared between regions. Participants included persons in the United States who searched for cancer terms on Google. The primary measures were the correlation between annual state-level cancer incidence and RSV as determined by Spearman correlation and linear regression with RSV and year as independent variables and cancer incidence as the dependent variable. Temporal associations between search activity and events raising public awareness such as cancer awareness months and cancer-related celebrity news were described.

Results

At the state level, RSV was significantly correlated to incidence for breast (r=.18, P=.001), prostate (r=–.27, P<.001), lung (r=.33, P<.001), and uterine cancers (r=.39, P<.001) and leukemia (r=.13, P=.003) but not colon cancer (r=–.02, P=.66). After adjusting for time, state-level RSV was positively correlated to cancer incidence for all cancers: breast (P<.001, 95% CI 0.06 to 0.19), prostate (P=.38, 95% CI –0.08 to 0.22), lung (P<.001, 95% CI 0.33 to 0.46), colon (P<.001, 95% CI 0.11 to 0.17), and uterine cancers (P<.001, 95% CI 0.07 to 0.12) and leukemia (P<.001, 95% CI 0.01 to 0.03). Temporal associations in GT were noted with breast cancer awareness month but not with other cancer awareness months and celebrity events.

Conclusions

Cancer incidence is correlated with online search volume at the state level. Search patterns were temporally associated with cancer awareness months and celebrity announcements. Online searches reflect public awareness. Advancing understanding of online search patterns could augment traditional epidemiologic surveillance, provide opportunities for targeted patient engagement, and allow public information campaigns to be evaluated in ways previously unable to be measured.