ArticleEPJ data science2017
Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors.
Article in EPJ data science, 2017. 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
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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.
- Biological motion during inflammation in humans.Brain, behavior, and immunity · 2020Trial
- A Forecast Model for COVID-19 Spread Trends Using Blog and GPS Data from Smartphones.Entropy (Basel, Switzerland) · 2025Article
- Spatiotemporal dynamics of epidemiology diseases: mobility based risk and short-term prediction modeling of COVID-19.Frontiers in public health · 2024Article
- Who Gets the Flu? Individualized Validation of Influenza-like Illness in Urban Spaces.International journal of environmental research and public health · 2023Article
- Crime, inequality and public health: a survey of emerging trends in urban data science.Frontiers in big data · 2023Review
- Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: A cross-sectional study using GPS from 122 individuals in three European cities.SSM - population health · 2022Article
- TraceBERT-A Feasibility Study on Reconstructing Spatial-Temporal Gaps from Incomplete Motion Trajectories via BERT Training Process on Discrete Location Sequences.Sensors (Basel, Switzerland) · 2022Article
- Using GPS-enabled mobile phones to evaluate the associations between human mobility changes and the onset of influenza illness.Spatial and spatio-temporal epidemiology · 2022Article
- Predicting seasonal influenza using supermarket retail records.PLoS computational biology · 2021Article
- A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.PloS one · 2021Article
- Trace2trace-A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories.Sensors (Basel, Switzerland) · 2020Article
- Quality of hybrid location data drawn from GPS-enabled mobile phones: Does it matter?Transactions in GIS : TG · 2020Article
- Revealing latent characteristics of mobility networks with coarse-graining.Scientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding and modeling the mobility of individuals is of paramount importance for public health. In particular, mobility characterization is key to predict the spatial and temporal diffusion of human-transmitted infections. However, the mobility behavior of a person can also reveal relevant information about her/his health conditions. In this paper, we study the impact of people mobility behaviors for predicting the future presence of flu-like and cold symptoms (i.e.
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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.