ArticleSocio-economic planning sciences2021
Network effects in influenza spread: The impact of mobility and socio-economic factors.
Article in Socio-economic planning sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Leveraging universal and transfer learning models for influenza prediction in Thailand.Scientific reports · 2026Article
- Absolute Space or Relational Space, Which Governs Spatiotemporally Extended Effects in Disease Dispersion?Geographical analysis · 2025Article
- Article
- Spatio-temporal evolution patterns of influenza incidence and its nonlinear spatial correlation with environmental pollutants in China.BMC public health · 2023Article
- Who Gets the Flu? Individualized Validation of Influenza-like Illness in Urban Spaces.International journal of environmental research and public health · 2023Article
- Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China.Socio-economic planning sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
This paper introduces new methods of modeling and analyzing social networks that emerge in the context of disease spread. Four methods of constructing informative networks are presented, two of which use. static data and two use temporal data, namely individual citizen mobility observations taken over an extensive period of time. We show how the built networks can be analyzed, and how the numerical results can be interpreted, using network permutation-based
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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.