On the public citation graph

Sampling for Global Epidemic Models and the Topology of an International Airport Network

https://doi.org/10.1371/journal.pone.0003154
0 signed · 54 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/(sici)1097-0258(19980930)17:18<2079::aid-sim902>3.0.co;2-hopenalex-snapshot
Sampling biases and missing data in explorations of sexual partner networks for the spread of sexually transmitted diseases
inferredcites →https://doi.org/10.1007/s10588-006-7084-xopenalex-snapshot
Identifying sets of key players in a social network
inferredcites →https://doi.org/10.1016/0025-5564(85)90064-1openalex-snapshot
A mathematical model for the global spread of influenza
inferredcites →https://doi.org/10.1016/j.socnet.2005.07.002openalex-snapshot
Effects of missing data in social networks
inferredcites →https://doi.org/10.1016/s0378-8733(03)00012-1openalex-snapshot
The stability of centrality measures when networks are sampled
inferredcites →https://doi.org/10.1016/s1286-4579(02)00058-8openalex-snapshot
Sexual networks: implications for the transmission of sexually transmitted infections
inferredcites →https://doi.org/10.1017/cbo9780511815478openalex-snapshot
Social Network Analysis
inferredcites →https://doi.org/10.1023/a:1026140019146openalex-snapshot
Assessing the impact of airline travel on the geographic spread of pandemic influenza
inferredcites →https://doi.org/10.1023/b:ejep.0000024793.50964.1fopenalex-snapshot
Erratum: Assessing the Impact of Airline Travel on the Geographic Spread of Pandemic Influenza
inferredcites →https://doi.org/10.1038/35082140openalex-snapshot
The web of human sexual contacts
inferredcites →https://doi.org/10.1038/nm0506-497openalex-snapshot
Will travel restrictions control the international spread of pandemic influenza?
inferredcites →https://doi.org/10.1073/pnas.0308344101openalex-snapshot
Forecast and control of epidemics in a globalized world
inferredcites →https://doi.org/10.1073/pnas.0407994102openalex-snapshot
The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles
inferredcites →https://doi.org/10.1073/pnas.0501179102openalex-snapshot
Subnets of scale-free networks are not scale-free: Sampling properties of networks
inferredcites →https://doi.org/10.1073/pnas.0510525103openalex-snapshot
The role of the airline transportation network in the prediction and predictability of global epidemics
inferredcites →https://doi.org/10.1103/physreve.72.036118openalex-snapshot
Sampling properties of random graphs: The degree distribution
inferredcites →https://doi.org/10.1103/physreve.73.016102openalex-snapshot
Statistical properties of sampled networks
inferredcites →https://doi.org/10.1103/physreve.75.046114openalex-snapshot
Statistical properties of sampled networks by random walks
inferredcites →https://doi.org/10.1103/physrevlett.86.3200openalex-snapshot
Epidemic Spreading in Scale-Free Networks
inferredcites →https://doi.org/10.1109/kimas.2003.1245034openalex-snapshot
Identifying sets of key players in a network
inferredcites →https://doi.org/10.1111/1467-985x.00101openalex-snapshot
Measuring Sexual Partner Networks for Transmission of Sexually Transmitted Diseases
inferredcites →https://doi.org/10.1371/journal.pmed.0030212openalex-snapshot
Delaying the International Spread of Pandemic Influenza
inferredcites →https://doi.org/10.1371/journal.pone.0000401openalex-snapshot
Controlling Pandemic Flu: The Value of International Air Travel Restrictions
inferredcites →https://doi.org/10.1371/journal.pone.0001478openalex-snapshot
Does the Effectiveness of Control Measures Depend on the Influenza Pandemic Profile?

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.2191613openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-031-05359-7_5openalex-snapshot
Challenges and Approaches of Non-pharmaceutical Interventions for Airport Operations During Pandemic Situations
inferred← citeshttps://doi.org/10.1016/j.epidem.2018.05.007openalex-snapshot
Modelling the global spread of diseases: A review of current practice and capability
inferred← citeshttps://doi.org/10.1016/j.jairtraman.2015.02.003openalex-snapshot
Impact of pandemic control over airport economics: Reconciling public health with airport business through a streamlined approach in pandemic control
inferred← citeshttps://doi.org/10.1016/j.jairtraman.2021.102022openalex-snapshot
COVID-19 pandemic and prospects for recovery of the global aviation industry
inferred← citeshttps://doi.org/10.1016/j.jocs.2010.07.002openalex-snapshot
Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model
inferred← citeshttps://doi.org/10.1016/j.mbs.2012.11.002openalex-snapshot
An epidemiological model of spatial coupling for trips longer than the infectious period
inferred← citeshttps://doi.org/10.1016/j.physa.2019.122028openalex-snapshot
Influence of geometric correlations on epidemic spreading in multiplex networks
inferred← citeshttps://doi.org/10.1016/j.tmaid.2011.12.003openalex-snapshot
A model-based tool to predict the propagation of infectious disease via airports
inferred← citeshttps://doi.org/10.1016/j.virusres.2015.05.006openalex-snapshot
Bats as reservoirs of severe emerging infectious diseases
inferred← citeshttps://doi.org/10.1038/ncomms9860openalex-snapshot
Compensating for population sampling in simulations of epidemic spread on temporal contact networks
inferred← citeshttps://doi.org/10.1038/s41467-017-02344-zopenalex-snapshot
Characterizing the dynamics underlying global spread of epidemics
inferred← citeshttps://doi.org/10.1038/srep24593openalex-snapshot
Epidemic risk from friendship network data: an equivalence with a non-uniform sampling of contact networks
inferred← citeshttps://doi.org/10.1055/s-0029-1214995openalex-snapshot
Tuberkulose und Reisen
inferred← citeshttps://doi.org/10.1086/651486openalex-snapshot
Epidemiology and Challenges to the Elimination of Global Tuberculosis
inferred← citeshttps://doi.org/10.1097/maj.0b013e3181e937caopenalex-snapshot
The Benefits of Transmission Dynamics Models in Understanding Emerging Infectious Diseases
inferred← citeshttps://doi.org/10.1103/physreve.84.061911openalex-snapshot
Suppressing epidemics with a limited amount of immunization units
inferred← citeshttps://doi.org/10.1109/bigdatacongress.2016.32openalex-snapshot
Catching Social Butterflies: Identifying Influential Users of an Event-Based Social Networking Service
inferred← citeshttps://doi.org/10.1111/j.1749-8198.2010.00355.xopenalex-snapshot
Spatio‐Temporal Attributes of Pandemic and Epidemic Diseases
inferred← citeshttps://doi.org/10.1186/1741-7015-10-165openalex-snapshot
Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm
inferred← citeshttps://doi.org/10.1371/4f8c9a2e1fca8openalex-snapshot
Critical paths in a metapopulation model of H1N1: Efficiently delaying influenza spreading through flight cancellation
inferred← citeshttps://doi.org/10.22452/ijie.vol14no3.5openalex-snapshot
The Application of the COVID-19 Global Economic Impact Simulator in China
inferred← citeshttps://doi.org/10.23919/ntca60572.2024.10517819openalex-snapshot
Investigating Strategies of the European Air Transport Network After COVID-19: A Complex Network Theory Analysis
inferred← citeshttps://doi.org/10.2807/1560-7917.es.2019.24.31.1800216openalex-snapshot
The use and reporting of airline passenger data for infectious disease modelling: a systematic review
inferred← citeshttps://doi.org/10.3201/eid2305.161720openalex-snapshot
Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice
inferred← citeshttps://doi.org/10.3402/ehtj.v4i0.7159openalex-snapshot
Bats, emerging infectious diseases, and the rabies paradigm revisited
inferred← citeshttps://doi.org/10.3768/rtipress.2018.op.0049.1805openalex-snapshot
Assessing network structure with practical sampling methods
inferred← citeshttps://doi.org/10.4172/2314-7326.1000213openalex-snapshot
A Presumed Infectious Event in England and Wales during 2014 and 2015 Leading to Higher Deaths in those with Neurological and Other Disorders
inferred← citeshttps://doi.org/10.48550/arxiv.1110.1724openalex-snapshot
The role of vegetables trade network in global epidemics
inferred← citeshttps://doi.org/10.5539/ijb.v8n2p66openalex-snapshot
Social Determinants of a Potential Spillover of Bat-Borne Viruses to Humans in Ghana
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.