On the public citation graph

Public transit mobility as a leading indicator of COVID-19 transmission in 40 cities during the first wave of the pandemic

https://doi.org/10.7717/peerj.17455
0 signed · 36 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.2020.6602openalex-snapshot
Information Technology–Based Tracing Strategy in Response to COVID-19 in South Korea—Privacy Controversies
inferredcites →https://doi.org/10.1001/jamanetworkopen.2021.23139openalex-snapshot
Trends in Interregional Travel to Shopping Malls and Restaurants Before and After Differential COVID-19 Restrictions in the Greater Toronto Area
inferredcites →https://doi.org/10.1002/bimj.202000112openalex-snapshot
Nowcasting the COVID‐19 pandemic in Bavaria
inferredcites →https://doi.org/10.1007/s00168-022-01193-zopenalex-snapshot
Urban density and COVID-19: understanding the US experience
inferredcites →https://doi.org/10.1007/s10900-021-00971-8openalex-snapshot
Public Health Messages About Face Masks Early in the COVID-19 Pandemic: Perceptions of and Impacts on Canadians
inferredcites →https://doi.org/10.1016/j.ijregi.2022.06.002openalex-snapshot
Factors associated with time lag between symptom onset and reporting in the first epidemic wave of COVID-19 in Osaka, Japan
inferredcites →https://doi.org/10.1016/j.ijtst.2021.11.003openalex-snapshot
Impacts of COVID-19 on public transit ridership
inferredcites →https://doi.org/10.1016/s1473-3099(20)30120-1openalex-snapshot
An interactive web-based dashboard to track COVID-19 in real time
inferredcites →https://doi.org/10.1038/s41467-021-21358-2openalex-snapshot
Reduction in mobility and COVID-19 transmission
inferredcites →https://doi.org/10.1038/s41467-021-21776-2openalex-snapshot
Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing
inferredcites →https://doi.org/10.1038/s41562-021-01079-8openalex-snapshot
A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)
inferredcites →https://doi.org/10.1038/s41598-020-77316-3openalex-snapshot
Tracking COVID-19 using taste and smell loss Google searches is not a reliable strategy
inferredcites →https://doi.org/10.1038/s41598-021-81442-xopenalex-snapshot
Estimating worldwide effects of non-pharmaceutical interventions on COVID-19 incidence and population mobility patterns using a multiple-event study
inferredcites →https://doi.org/10.1038/s41598-021-92892-8openalex-snapshot
Public mobility data enables COVID-19 forecasting and management at local and global scales
inferredcites →https://doi.org/10.1038/s42254-021-00407-1openalex-snapshot
What human mobility data tell us about COVID-19 spread
inferredcites →https://doi.org/10.1038/s42949-021-00030-0openalex-snapshot
Early pandemic COVID-19 case growth rates increase with city size
inferredcites →https://doi.org/10.1093/aje/kwt133openalex-snapshot
A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics
inferredcites →https://doi.org/10.1126/science.abb4218openalex-snapshot
The effect of human mobility and control measures on the COVID-19 epidemic in China
inferredcites →https://doi.org/10.1126/science.abb8021openalex-snapshot
Aggregated mobility data could help fight COVID-19
inferredcites →https://doi.org/10.1177/0020852321997552openalex-snapshot
A comparative study of COVID-19 responses in South Korea and Japan: political nexus triad and policy responses
inferredcites →https://doi.org/10.1186/s12879-021-05950-xopenalex-snapshot
Serial interval and incubation period of COVID-19: a systematic review and meta-analysis
inferredcites →https://doi.org/10.1186/s12916-020-01615-9openalex-snapshot
Real-time monitoring the transmission potential of COVID-19 in Singapore, March 2020
inferredcites →https://doi.org/10.1186/s12992-021-00672-wopenalex-snapshot
A cross-country core strategy comparison in China, Japan, Singapore and South Korea during the early COVID-19 pandemic
inferredcites →https://doi.org/10.1371/journal.pone.0000758openalex-snapshot
Estimating Individual and Household Reproduction Numbers in an Emerging Epidemic
inferredcites →https://doi.org/10.1371/journal.pone.0246772openalex-snapshot
Estimation of the fraction of COVID-19 infected people in U.S. states and countries worldwide
inferredcites →https://doi.org/10.1503/cmaj.210132openalex-snapshot
The mobility gap: estimating mobility thresholds required to control SARS-CoV-2 in Canada
inferredcites →https://doi.org/10.2139/ssrn.3569909openalex-snapshot
Searching for the Peak Google Trends and the COVID-19 Outbreak in Italy
inferredcites →https://doi.org/10.3201/eid2606.200357openalex-snapshot
Serial Interval of COVID-19 among Publicly Reported Confirmed Cases
inferredcites →https://doi.org/10.32614/cran.package.epiestimopenalex-snapshot
EpiEstim: Estimate Time Varying Reproduction Numbers from Epidemic Curves
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.32614/rj-2017-066openalex-snapshot
glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling
inferredcites →https://doi.org/10.36501/0197-9191/21-026openalex-snapshot
Literature Review and Data Analysis on the Impacts of Prolonged Events on Transit System Ridership

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← backgroundhttps://doi.org/10.5281/zenodo.11480219zenodo-depositor-declared
inferred← citeshttps://doi.org/10.1016/j.apm.2026.117356openalex-snapshot
High-resolution mobility-driven stochastic agent-based modeling of context-dependent spatiotemporal epidemic dynamics
inferred← citeshttps://doi.org/10.1016/j.cstp.2025.101378openalex-snapshot
Analysing bus users’ perceptions of service quality during the COVID-19 pandemic. A case study of Gran Canaria (Spain)
inferred← citeshttps://doi.org/10.1057/s41599-024-03376-9openalex-snapshot
Leaving messages as coproduction: impact of government COVID-19 non-pharmaceutical interventions on citizens’ online participation in China
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.