ArticleCell host & microbe2015
Computational approaches to influenza surveillance: beyond timeliness.
Article in Cell host & microbe, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Enhancing Influenza Epidemics Forecasting Accuracy in China with Both Official and Unofficial Online News Articles, 2019-2020.International journal of environmental research and public health · 2021Article
- Forecasting influenza-like illness trends in Cameroon using Google Search Data.Scientific reports · 2021Article
- The Association Between State-Level Racial Attitudes Assessed From Twitter Data and Adverse Birth Outcomes: Observational Study.JMIR public health and surveillance · 2020Observational
- Socioeconomic bias in influenza surveillance.PLoS computational biology · 2020Article
- Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study.JMIR public health and surveillance · 2020Article
- Pride, Love, and Twitter Rants: Combining Machine Learning and Qualitative Techniques to Understand What Our Tweets Reveal about Race in the US.International journal of environmental research and public health · 2019Article
- Twitter-derived measures of sentiment towards minorities (2015-2016) and associations with low birth weight and preterm birth in the United States.Computers in human behavior · 2018Article
- Big Data's Role in Precision Public Health.Frontiers in public health · 2018Review
- Twitter-derived neighborhood characteristics associated with obesity and diabetes.Scientific reports · 2017Article
- Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe.JMIR public health and surveillance · 2017Article
- A Platform for Crowdsourced Foodborne Illness Surveillance: Description of Users and Reports.JMIR public health and surveillance · 2017Article
- Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks.Scientific reports · 2017Article
- Twitter Influenza Surveillance: Quantifying Seasonal Misdiagnosis Patterns and their Impact on Surveillance Estimates.Online journal of public health informatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Several digital data sources and systems have been advanced for use in augmenting traditional influenza surveillance systems. Although timeliness is one of the main advantages of these tools, there are several other recognizable uses and potential impact of these systems on the public and global public health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.