ArticleCancer causes & control : CCC2021
Decreased public pursuit of cancer-related information during the COVID-19 pandemic in the United States.
Article in Cancer causes & control : CCC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Engaging the community served: a U.S. Cancer Center's Facebook live cancer awareness campaign for Spanish-speaking Latinos during COVID-19.Cancer causes & control : CCC · 2023Article
- Global Online Interest in HIV/AIDS care Services in the time of COVID-19: A Google Trends Analysis.AIDS and behavior · 2023Article
- Effects of the COVID-19 Pandemic on the Interest of Google Queries in Cancer Screening and Cancers: A Retrospective Study.Cancers · 2023Article
- Telehealth in breast cancer following the coronavirus disease 2019 pandemic.Exploration of targeted anti-tumor therapy · 2023Review
- Public interest and awareness regarding general health, sleep quality and mental wellbeing during the early COVID-19 pandemic period: An exploration using Google trends.Sleep epidemiology · 2022Article
- Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study.BMC infectious diseases · 2022Article
- Decreased online hepatitis information seeking during the COVID-19 pandemic: an Infodemiology study.Journal of preventive medicine and hygiene · 2022Article
- Impact of two waves of Sars-Cov2 outbreak on the number, clinical presentation, care trajectories and survival of patients newly referred for a colorectal cancer: A French multicentric cohort study from a large group of university hospitals.International journal of cancer · 2022Article
- In-Hospital Mortality in Non-COVID-19-Related Diseases before and during the Pandemic: A Regional Retrospective Study.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundIn 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.
methodsWe 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.
resultsGeneral 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.
conclusionWe 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.