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The propagation effect of commuting to work in the spatial transmission of COVID-19

https://doi.org/10.1007/s10109-021-00349-3
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What this work says

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

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Spatial econometrics: from cross-sectional data to spatial panels
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Spatial error correction and cointegration in nonstationary panel data: regional house prices in Israel
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Spatiotemporal modeling of first and second wave outbreak dynamics of COVID-19 in Germany
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The spatial econometrics of the coronavirus pandemic
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Abgrenzung von Arbeitsmarktregionen – ein Methodenvorschlag
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Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters
inferredcites →https://doi.org/10.1016/j.eclinm.2020.100457openalex-snapshot
Lockdown timing and efficacy in controlling COVID-19 using mobile phone tracking
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A finite sample correction for the variance of linear efficient two-step GMM estimators
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JUE Insight: How much does COVID-19 increase with mobility? Evidence from New York and four other U.S. cities
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Estimating dynamic panel data models: a guide for macroeconomists
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Estimating Log Models: To Transform or Not to Transform?
inferredcites →https://doi.org/10.1016/s0304-4076(01)00108-7openalex-snapshot
Individual effects and dynamics in count data models
inferredcites →https://doi.org/10.1038/s41586-020-2923-3openalex-snapshot
Mobility network models of COVID-19 explain inequities and inform reopening
inferredcites →https://doi.org/10.1038/s41597-020-00575-2openalex-snapshot
COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown
inferredcites →https://doi.org/10.1038/s41598-020-77292-8openalex-snapshot
Forecasting the Spread of COVID-19 under Different Reopening Strategies
inferredcites →https://doi.org/10.1073/pnas.2004978117openalex-snapshot
Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures
inferredcites →https://doi.org/10.1073/pnas.2006520117openalex-snapshot
The challenges of modeling and forecasting the spread of COVID-19
inferredcites →https://doi.org/10.1073/pnas.2006991117openalex-snapshot
The impact of COVID-19 on small business outcomes and expectations
inferredcites →https://doi.org/10.1073/pnas.2012326117openalex-snapshot
COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
inferredcites →https://doi.org/10.1073/pnas.2015954117openalex-snapshot
Face masks considerably reduce COVID-19 cases in Germany
inferredcites →https://doi.org/10.1080/00045608.2012.671130openalex-snapshot
Population Movement and Vector-Borne Disease Transmission: Differentiating Spatial–Temporal Diffusion Patterns of Commuting and Noncommuting Dengue Cases
inferredcites →https://doi.org/10.1080/01621459.1983.10478017openalex-snapshot
Smearing Estimate: A Nonparametric Retransformation Method
inferredcites →https://doi.org/10.1080/07350015.1997.10524720openalex-snapshot
Efficient Estimation With Panel Data When Instruments Are Predetermined: An Empirical Comparison of Moment-Condition Estimators
inferredcites →https://doi.org/10.1080/13669877.2021.1891802openalex-snapshot
COVID-19: the winter lockdown strategy in five European nations
inferredcites →https://doi.org/10.1086/422341openalex-snapshot
Measles Metapopulation Dynamics: A Gravity Model for Epidemiological Coupling and Dynamics
inferredcites →https://doi.org/10.1093/pcmedi/pbaa016openalex-snapshot
An evaluation of mathematical models for the outbreak of COVID-19
inferredcites →https://doi.org/10.1101/2020.07.27.20159996openalex-snapshot
Predicting Onset of COVID-19 with Mobility-Augmented SEIR Model
inferredcites →https://doi.org/10.1111/tesg.12429openalex-snapshot
Infectious Diseases as Socio‐Spatial Processes: The COVID‐19 Outbreak In Germany
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/10.1145/3404111.3404115openalex-snapshot
Mapping county-level mobility pattern changes in the United States in response to COVID-19
inferredcites →https://doi.org/10.1145/3404820.3404824openalex-snapshot
Mapping county-level mobility pattern changes in the United States in response to COVID-19
inferredcites →https://doi.org/10.1191/1471082x05st098oaopenalex-snapshot
A statistical framework for the analysis of multivariate infectious disease surveillance counts
inferredcites →https://doi.org/10.1198/jbes.2009.08041openalex-snapshot
Estimating Panel Models With Internal and External Habit Formation
inferredcites →https://doi.org/10.1201/b19470openalex-snapshot
Handbook of Spatial Epidemiology
inferredcites →https://doi.org/10.1201/b19470-31openalex-snapshot
Bayesian Variable Selection in Semiparametric and Nonstationary Geostatistical Models: An Application to Mapping Malaria Risk in Mali
inferredcites →https://doi.org/10.1371/journal.pcbi.1003716openalex-snapshot
On the Use of Human Mobility Proxies for Modeling Epidemics
inferredcites →https://doi.org/10.1371/journal.pone.0083002openalex-snapshot
Commuter Mobility and the Spread of Infectious Diseases: Application to Influenza in France
inferredcites →https://doi.org/10.1371/journal.pone.0235731openalex-snapshot
Mobility restrictions for the control of epidemics: When do they work?
inferredcites →https://doi.org/10.1371/journal.pone.0235732openalex-snapshot
Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil
inferredcites →https://doi.org/10.1371/journal.pone.0236464openalex-snapshot
Estimation of time-varying reproduction numbers underlying epidemiological processes: A new statistical tool for the COVID-19 pandemic
inferredcites →https://doi.org/10.1371/journal.pone.0236619openalex-snapshot
Enacting national social distancing policies corresponds with dramatic reduction in COVID19 infection rates
inferredcites →https://doi.org/10.1371/journal.pone.0241468openalex-snapshot
Human mobility trends during the early stage of the COVID-19 pandemic in the United States
inferredcites →https://doi.org/10.1515/ger-2020-0063openalex-snapshot
Après-ski: The spread of coronavirus from Ischgl through Germany
inferredcites →https://doi.org/10.18335/region.v7i2.324openalex-snapshot
Flatten the Curve!
inferredcites →https://doi.org/10.20944/preprints202003.0077.v1openalex-snapshot
The Ongoing COVID-19 Epidemic Curves Indicate Initial Point Spread in China with Log-Normal Distribution of New Cases Per Day with a Predictable Last Date of the Outbreak
inferredcites →https://doi.org/10.21034/qr.4111openalex-snapshot
On Using SIR Models to Model Disease Scenarios for COVID-19
inferredcites →https://doi.org/10.2139/ssrn.3662054openalex-snapshot
Right and Yet Wrong: A Spatio-Temporal Evaluation of Germany's COVID-19 Containment Policy
inferredcites →https://doi.org/10.2139/ssrn.3672069openalex-snapshot
Face Masks Considerably Reduce COVID-19 Cases in Germany - a Synthetic Control Method Approach
inferredcites →https://doi.org/10.3386/w27519openalex-snapshot
How Much does COVID-19 Increase with Mobility? Evidence from New York and Four Other U.S. Cities
inferredcites →https://doi.org/10.3390/ijerph17041381openalex-snapshot
Forecasting Flu Activity in the United States: Benchmarking an Endemic-Epidemic Beta Model
inferredcites →https://doi.org/10.3390/jcm9020538openalex-snapshot
Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data
inferredcites →https://doi.org/10.7326/m20-0504openalex-snapshot
The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application

What points at this work

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

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Looking Back and Forward: Localized COVID-19 Risks and Travel Dynamics
inferred← citeshttps://doi.org/10.1007/978-3-319-57365-6_414-1openalex-snapshot
Ethnic Occupational Segregation
inferred← citeshttps://doi.org/10.1007/978-3-658-37719-9_3openalex-snapshot
Covid-19 in Grenzregionen – Entwicklungen während der ersten, zweiten und dritten Welle und die Effekte der Grenzkontrollen
inferred← citeshttps://doi.org/10.1007/s10109-021-00366-2openalex-snapshot
A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates
inferred← citeshttps://doi.org/10.1007/s10708-021-10557-5openalex-snapshot
Factors that most expose countries to COVID-19: a composite indicators-based approach
inferred← citeshttps://doi.org/10.1007/s10708-026-11619-2openalex-snapshot
Spatial diffusion of COVID-19: an ESDA approach to the second wave in Germany
inferred← citeshttps://doi.org/10.1007/s13278-025-01485-0openalex-snapshot
A Bayesian mixture model for Poisson network autoregression
inferred← citeshttps://doi.org/10.1007/s41109-024-00634-2openalex-snapshot
Network-based time series modeling for COVID-19 incidence in the Republic of Ireland
inferred← citeshttps://doi.org/10.1007/s43071-022-00033-8openalex-snapshot
'Traffic light' theory for Covid-19 spatial mitigation policy design
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104797openalex-snapshot
Neuro-computational intelligence for numerical treatment of multiple delays SEIR model of worms propagation in wireless sensor networks
inferred← citeshttps://doi.org/10.1016/j.envres.2021.111948openalex-snapshot
Long-term exposure to fine particulate matter air pollution: An ecological study of its effect on COVID-19 cases and fatality in Germany
inferred← citeshttps://doi.org/10.1016/j.physrep.2025.10.010openalex-snapshot
Human mobility in epidemic modeling
inferred← citeshttps://doi.org/10.1016/j.scs.2024.105383openalex-snapshot
Insights into the risk of COVID-19 infection in urban neighborhood and its environmental influence factors:A novel approach
inferred← citeshttps://doi.org/10.1016/j.sste.2023.100605openalex-snapshot
Waves in time, but not in space – an analysis of pandemic severity of COVID-19 in Germany
inferred← citeshttps://doi.org/10.1016/j.tbs.2023.100689openalex-snapshot
Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19
inferred← citeshttps://doi.org/10.1038/s41598-025-06658-7openalex-snapshot
Revealing spatiotemporal variations in areas potentially linked to COVID-19 spread using fine-grained population data
inferred← citeshttps://doi.org/10.1080/00343404.2023.2176478openalex-snapshot
Right and yet wrong: a politico-economic perspective on Germany’s early COVID-19 policy
inferred← citeshttps://doi.org/10.1080/17421772.2022.2095426openalex-snapshot
A Bayesian approach for the estimation of weight matrices in spatial autoregressive models
inferred← citeshttps://doi.org/10.1080/24694452.2022.2130143openalex-snapshot
A Systematic Review of COVID-19 Geographical Research: Machine Learning and Bibliometric Approach
inferred← citeshttps://doi.org/10.1093/ectj/utab021openalex-snapshot
Large-scale sport events and COVID-19 infection effects: evidence from the German professional football ‘experiment’
inferred← citeshttps://doi.org/10.1093/jrsssa/qnae091openalex-snapshot
Administrative Border Effects in COVID-19 Related Mortality
inferred← citeshttps://doi.org/10.1093/jtm/taac081openalex-snapshot
Substantial impact of mobility restrictions on reducing COVID-19 incidence in Italy in 2020
inferred← citeshttps://doi.org/10.1108/econ-11-2023-0197openalex-snapshot
Contagion by COVID-19 in the cities: commuting distance and residential density matter?
inferred← citeshttps://doi.org/10.1111/jors.12536openalex-snapshot
The Covid‐19 containment effects of public health measures: A spatial difference‐in‐differences approach
inferred← citeshttps://doi.org/10.32614/cran.package.c19dnutsopenalex-snapshot
C19dNUTS: Dataset of Regional COVID-19 Deaths per 100,000 Pop (NUTS)
inferred← citeshttps://doi.org/10.3390/geographies5010014openalex-snapshot
Spatiotemporal Diffusion Patterns Associated with COVID-19 in the Tel Aviv-Jaffa and Haifa (Israel) Metropolitan Regions
inferred← citeshttps://doi.org/10.3390/ijerph19116669openalex-snapshot
A Model for Highly Fluctuating Spatio-Temporal Infection Data, with Applications to the COVID Epidemic
inferred← citeshttps://doi.org/10.3390/s21248220openalex-snapshot
Clustering Accelerometer Activity Patterns from the UK Biobank Cohort
inferred← citeshttps://doi.org/10.3390/su14084469openalex-snapshot
Impacts of Commuting Practices on Social Sustainability and Sustainable Mobility
inferred← citeshttps://doi.org/10.48088/ejg.t.wie.13.4.018.033openalex-snapshot
Spatial patterns of excess mortality in the first year of the COVID-19 pandemic in Germany
inferred← citeshttps://doi.org/10.5271/sjweh.4080openalex-snapshot
COVID-19-related hospital admission in spouses of partners in at-risk occupations
inferred← citeshttps://doi.org/10.6084/m9.figshare.26733909openalex-snapshot
Additional file 1 of Network-based time series modeling for COVID-19 incidence in the Republic of Ireland
inferred← citeshttps://doi.org/10.7287/peerj.12685v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.12685v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.12685v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.12685v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj.12685v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj.12685v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj.12685v0.3/reviews/1openalex-snapshot
Peer Review #1 of "Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj.12685v0.3/reviews/3openalex-snapshot
Peer Review #3 of "Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj.12685v0.3/reviews/4openalex-snapshot
Peer Review #4 of "Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level (v0.3)"
inferred← citeshttps://doi.org/10.7717/peerj.12685openalex-snapshot
Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level
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