ArticleJournal of medical Internet research2021
Predicting Norovirus in the United States Using Google Trends: Infodemiology Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Early Detection and Monitoring of Gastrointestinal Infections Using Syndromic Surveillance: A Systematic Review.International journal of environmental research and public health · 2024Pooled it
- Association between public attention and monkeypox epidemic: A global lag-correlation analysis.Journal of medical virology · 2023Pooled it
- Google search interests and new cases of COVID-19 in Bangladesh: a vector autoregression analysis for disease surveillance.BMC research notes · 2025Article
- Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- Comparison of statistical approaches to predicting norovirus laboratory reports before and during COVID-19: insights to inform public health surveillance.Scientific reports · 2023Article
- Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study.Journal of medical Internet research · 2023Article
- Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study.Journal of medical Internet research · 2023Article
- Trends in Online Search Activity and the Correlation with Daily New Cases of Monkeypox among 102 Countries or Territories.International journal of environmental research and public health · 2023Article
- Does Tobler's first law of geography apply to internet attention? A case study of the Asian elephant northern migration event.PloS one · 2023Article
- Searching for HIV and AIDS Health Information in South Africa, 2004-2019: Analysis of Google and Wikipedia Search Trends.JMIR formative research · 2022Article
- United States Influenza Search Patterns Since the Emergence of COVID-19: Infodemiology Study.JMIR public health and surveillance · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNorovirus is a contagious disease. The transmission of norovirus spreads quickly and easily in various ways. Because effective methods to prevent or treat norovirus have not been discovered, it is important to rapidly recognize and report norovirus outbreaks in the early phase. Internet search has been a useful method for people to access information immediately. With the precise record of internet search trends, internet search has been a useful tool to manifest infectious disease outbreaks.
objectiveIn this study, we tried to discover the correlation between internet search terms and norovirus infection.
methodsThe internet search trend data of norovirus were obtained from Google Trends. We used cross-correlation analysis to discover the temporal correlation between norovirus and other terms. We also used multiple linear regression with the stepwise method to recognize the most important predictors of internet search trends and norovirus. In addition, we evaluated the temporal correlation between actual norovirus cases and internet search terms in New York, California, and the United States as a whole.
resultsSome Google search terms such as gastroenteritis, watery diarrhea, and stomach bug coincided with norovirus Google Trends. Some Google search terms such as contagious, travel, and party presented earlier than norovirus Google Trends. Some Google search terms such as dehydration, bar, and coronavirus presented several months later than norovirus Google Trends. We found that fever, gastroenteritis, poison, cruise, wedding, and watery diarrhea were important factors correlated with norovirus Google Trends. In actual norovirus cases from New York, California, and the United States as a whole, some Google search terms presented with, earlier, or later than actual norovirus cases.
conclusionsOur study provides novel strategy-based internet search evidence regarding the epidemiology of norovirus.
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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.