On the public citation graph

https://doi.org/10.1101/2020.04.03.20052720

0 signed · 68 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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.2020.4031openalex-snapshot
Critical Care Utilization for the COVID-19 Outbreak in Lombardy, Italy
inferredcites →https://doi.org/10.1006/jtbi.1996.0042openalex-snapshot
Spatial Heterogeneity in Epidemic Models
inferredcites →https://doi.org/10.1007/978-3-540-78911-6_2openalex-snapshot
Compartmental Models in Epidemiology
inferredcites →https://doi.org/10.1016/j.geosus.2020.03.005openalex-snapshot
COVID-19: Challenges to GIS with Big Data
inferredcites →https://doi.org/10.1016/s0140-6736(20)30260-9openalex-snapshot
Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study
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/10.1016/s1473-3099(20)30144-4openalex-snapshot
Early dynamics of transmission and control of COVID-19: a mathematical modelling study
inferredcites →https://doi.org/10.1016/s2214-109x(20)30074-7openalex-snapshot
Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
inferredcites →https://doi.org/10.1017/cbo9781107706804openalex-snapshot
Probabilistic Forecasting and Bayesian Data Assimilation
inferredcites →https://doi.org/10.1038/s41591-020-0843-2openalex-snapshot
Respiratory virus shedding in exhaled breath and efficacy of face masks
inferredcites →https://doi.org/10.1038/srep00062openalex-snapshot
Modeling human mobility responses to the large-scale spreading of infectious diseases
inferredcites →https://doi.org/10.1056/nejmoa2001191openalex-snapshot
First Case of 2019 Novel Coronavirus in the United States
inferredcites →https://doi.org/10.1056/nejmoa2002032openalex-snapshot
Clinical Characteristics of Coronavirus Disease 2019 in China
inferredcites →https://doi.org/10.1056/nejmoa2008457openalex-snapshot
Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility
inferredcites →https://doi.org/10.1098/rspa.1927.0118openalex-snapshot
A contribution to the mathematical theory of epidemics
inferredcites →https://doi.org/10.1101/2020.01.31.20019901openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.02.04.20020479openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.02.06.20020974openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.02.09.20021261openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.02.09.20021360openalex-snapshot
Spatially Explicit Modeling of 2019-nCoV Epidemic Trend Based on Mobile Phone Data in Mainland China
inferredcites →https://doi.org/10.1101/2020.02.14.20023127openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.02.18.20024414openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.03.03.20029843openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.03.03.20030593openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.03.08.20032946openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.06.07.20124859openalex-snapshot
inferredcites →https://doi.org/10.1103/physreve.57.2163openalex-snapshot
Spatial epidemic network models with viral dynamics
inferredcites →https://doi.org/10.1109/mcs.2009.932223openalex-snapshot
The ensemble Kalman filter for combined state and parameter estimation
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01627.xopenalex-snapshot
Spatial Contact Models for Ecological and Epidemic Spread
inferredcites →https://doi.org/10.1111/tgis.12624openalex-snapshot
Calibrating the dynamic Huff model for business analysis using location big data
inferredcites →https://doi.org/10.1126/science.1086616openalex-snapshot
Transmission Dynamics and Control of Severe Acute Respiratory Syndrome
inferredcites →https://doi.org/10.1126/science.1232257openalex-snapshot
Spatial Turn in Health Research
inferredcites →https://doi.org/10.1126/science.1245200openalex-snapshot
The Hidden Geometry of Complex, Network-Driven Contagion Phenomena
inferredcites →https://doi.org/10.1126/science.aba9757openalex-snapshot
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
inferredcites →https://doi.org/10.1126/science.abb3221openalex-snapshot
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2)
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.abb4557openalex-snapshot
Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China
inferredcites →https://doi.org/10.1126/science.abb6105openalex-snapshot
An investigation of transmission control measures during the first 50 days of 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/10.1137/s0036144500371907openalex-snapshot
The Mathematics of Infectious Diseases
inferredcites →https://doi.org/10.1177/0308518x19891911openalex-snapshot
Understanding neighborhood isolation through spatial interaction network analysis using location big data
inferredcites →https://doi.org/10.1371/journal.pone.0000020openalex-snapshot
Societal Learning in Epidemics: Intervention Effectiveness during the 2003 SARS Outbreak in Singapore
inferredcites →https://doi.org/10.21203/rs.3.rs-16836/v1openalex-snapshot
inferredcites →https://doi.org/10.2139/ssrn.3561491openalex-snapshot
When is the COVID-19 Pandemic Over? Evidence from the Stay-at-Home Policy Execution in 106 Chinese Cities
inferredcites →https://doi.org/10.3201/eid2605.200146openalex-snapshot
Risk for Transportation of Coronavirus Disease from Wuhan to Other Cities in China
inferredcites →https://doi.org/10.48550/arxiv.2003.14228openalex-snapshot
Mobility Changes in Response to COVID-19

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.3570145openalex-extracted
Mapping County-Level Mobility Pattern Changes in the United States in Response to COVID-19
inferred← citeshttps://doi.org/10.1007/978-3-030-94350-9_145openalex-snapshot
The COVID-19 Pandemic and the International Geographical Union
inferred← citeshttps://doi.org/10.1016/j.cities.2020.102869openalex-snapshot
Evaluating the effect of city lock-down on controlling COVID-19 propagation through deep learning and network science models
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.140033openalex-snapshot
Spatial analysis and GIS in the study of COVID-19. A review
inferred← citeshttps://doi.org/10.1038/s41597-020-00734-5openalex-snapshot
Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic
inferred← citeshttps://doi.org/10.1080/13658816.2021.1873999openalex-snapshot
Compliance and containment in social distancing: mathematical modeling of COVID-19 across townships
inferred← citeshttps://doi.org/10.1101/2020.04.24.20078485openalex-snapshot
On the reliability of model-based predictions in the context of the current COVID epidemic event: impact of outbreak peak phase and data paucity
inferred← citeshttps://doi.org/10.1101/2020.06.01.20119073openalex-snapshot
inferred← citeshttps://doi.org/10.1101/2020.11.17.20233718openalex-snapshot
On short-term trends and predictions for COVID-19 in France and the USA: comparison with Australia
inferred← citeshttps://doi.org/10.1101/2021.04.25.21256082openalex-snapshot
inferred← citeshttps://doi.org/10.1101/2022.01.01.21268139openalex-snapshot
inferred← citeshttps://doi.org/10.1101/2022.07.18.22277695openalex-snapshot
inferred← citeshttps://doi.org/10.1109/access.2021.3058155openalex-snapshot
Spatiotemporal Differences of COVID-19 Infection Among Healthcare Workers and Patients in China From January to March 2020
inferred← citeshttps://doi.org/10.1145/3404111.3404115openalex-snapshot
Mapping county-level mobility pattern changes in the United States in response to COVID-19
inferred← citeshttps://doi.org/10.1145/3561303openalex-snapshot
Deploying the Minimum Number of Rechargeable UAVs for a Quarantine Barrier
inferred← citeshttps://doi.org/10.20944/preprints202005.0011.v1openalex-snapshot
The Signicance of the Detection Ratio for Predictions on the Outcome of an Epidemic - A Message from Mathematical Modelers
inferred← citeshttps://doi.org/10.21203/rs.3.rs-128679/v1openalex-snapshot
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3345525/v1openalex-snapshot
inferred← citeshttps://doi.org/10.32473/ufjur.v23i.128721openalex-snapshot
Optimization of Multi Two-Level Batch Testing
inferred← citeshttps://doi.org/10.3390/ijerph17186439openalex-snapshot
Challenges of Testing COVID-19 Cases in Bangladesh
inferred← citeshttps://doi.org/10.3390/jcm10071409openalex-snapshot
Modeling of Various Spatial Patterns of SARS-CoV-2: The Case of Germany
inferred← citeshttps://doi.org/10.48550/arxiv.2004.04544openalex-snapshot
Mapping county-level mobility pattern changes in the United States in response to COVID-19
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.