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https://doi.org/10.1101/2020.05.01.20088047

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What this work says

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

inferredcites →https://doi.org/10.1002/jmv.25750openalex-snapshot
Transmission dynamics of the COVID‐19 outbreak and effectiveness of government interventions: A data‐driven analysis
inferredcites →https://doi.org/10.1007/s10237-019-01190-wopenalex-snapshot
Using machine learning to characterize heart failure across the scales
inferredcites →https://doi.org/10.1007/s10237-020-01332-5openalex-snapshot
Outbreak dynamics of COVID-19 in China and the United States
inferredcites →https://doi.org/10.1007/s10237-020-01408-2openalex-snapshot
Global and local mobility as a barometer for COVID-19 dynamics
inferredcites →https://doi.org/10.1007/s11831-020-09405-5openalex-snapshot
Multiscale Modeling Meets Machine Learning: What Can We Learn?
inferredcites →https://doi.org/10.1016/0025-5564(95)92756-5openalex-snapshot
Global stability for the SEIR model in epidemiology
inferredcites →https://doi.org/10.1016/j.cma.2016.04.032openalex-snapshot
An agent-based computational framework for simulation of competing hostile planet-wide populations
inferredcites →https://doi.org/10.1016/j.cma.2019.01.033openalex-snapshot
Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification
inferredcites →https://doi.org/10.1016/j.cma.2020.112907openalex-snapshot
A machine-learning framework for rapid adaptive digital-twin based fire-propagation simulation in complex environments
inferredcites →https://doi.org/10.1016/j.cma.2020.113410openalex-snapshot
Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19
inferredcites →https://doi.org/10.1016/j.ijid.2020.01.009openalex-snapshot
The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health — The latest 2019 novel coronavirus outbreak in Wuhan, China
inferredcites →https://doi.org/10.1016/j.ijid.2020.01.050openalex-snapshot
Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
inferredcites →https://doi.org/10.1016/j.ijid.2020.03.050openalex-snapshot
Monitoring transmissibility and mortality of COVID-19 in Europe
inferredcites →https://doi.org/10.1016/j.isatra.2021.12.004openalex-snapshot
Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study
inferredcites →https://doi.org/10.1016/s0022-5193(84)80150-2openalex-snapshot
Seasonality and period-doubling bifurcations in an epidemic model
inferredcites →https://doi.org/10.1016/s0025-5564(02)00108-6openalex-snapshot
Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission
inferredcites →https://doi.org/10.1016/s0140-6736(20)31142-9openalex-snapshot
Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis
inferredcites →https://doi.org/10.1016/s1473-3099(20)30129-8openalex-snapshot
Can we contain the COVID-19 outbreak with the same measures as for SARS?
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/10.1016/s2468-2667(20)30073-6openalex-snapshot
The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study
inferredcites →https://doi.org/10.1038/s41586-020-2405-7openalex-snapshot
Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
inferredcites →https://doi.org/10.1038/s41746-019-0193-yopenalex-snapshot
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
inferredcites →https://doi.org/10.1056/nejme2002387openalex-snapshot
Covid-19 — Navigating the Uncharted
inferredcites →https://doi.org/10.1056/nejmoa2001316openalex-snapshot
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
inferredcites →https://doi.org/10.1080/01621459.1989.10478852openalex-snapshot
Robust Statistical Modeling Using the t Distribution
inferredcites →https://doi.org/10.1080/10255842.2020.1759560openalex-snapshot
Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions
inferredcites →https://doi.org/10.1093/jtm/taaa020openalex-snapshot
Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak
inferredcites →https://doi.org/10.1093/jtm/taaa021openalex-snapshot
The reproductive number of COVID-19 is higher compared to SARS coronavirus
inferredcites →https://doi.org/10.1093/oxfordjournals.epirev.a036121openalex-snapshot
Herd Immunity: History, Theory, Practice
inferredcites →https://doi.org/10.1098/rsif.2019.0233openalex-snapshot
Growth and remodelling of living tissues: perspectives, challenges and opportunities
inferredcites →https://doi.org/10.1098/rsif.2020.0144openalex-snapshot
Reconciling early-outbreak estimates of the basic reproductive number and its uncertainty: framework and applications to the novel coronavirus (SARS-CoV-2) outbreak
inferredcites →https://doi.org/10.1098/rspa.1927.0118openalex-snapshot
A contribution to the mathematical theory of epidemics
inferredcites →https://doi.org/10.1101/2020.01.23.916395openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.01.30.20019877openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.02.18.20024414openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.03.09.20033464openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.04.06.20054320openalex-snapshot
Derivation of the effective reproduction number ℛ for COVID-19 in relation to mobility restrictions and confinement
inferredcites →https://doi.org/10.1101/2020.05.23.20111419openalex-snapshot
inferredcites →https://doi.org/10.1101/2020.06.13.20130658openalex-snapshot
inferredcites →https://doi.org/10.1126/science.7063839openalex-snapshot
Directly Transmitted Infections Diseases: Control by Vaccination
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.abb3088openalex-snapshot
COVID-19 drives new threat to bats 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.abb5659openalex-snapshot
Modeling infectious disease dynamics
inferredcites →https://doi.org/10.1126/science.abb6950openalex-snapshot
Travel restrictions violate international law
inferredcites →https://doi.org/10.1137/s0036144500371907openalex-snapshot
The Mathematics of Infectious Diseases
inferredcites →https://doi.org/10.1177/096228029300200103openalex-snapshot
The estimation of the basic reproduction number for infectious diseases
inferredcites →https://doi.org/10.1186/1471-2334-14-480openalex-snapshot
Estimates of the reproduction number for seasonal, pandemic, and zoonotic influenza: a systematic review of the literature
inferredcites →https://doi.org/10.2307/2290063openalex-snapshot
Robust Statistical Modeling Using the t Distribution
inferredcites →https://doi.org/10.2471/blt.20.257238openalex-snapshot
inferredcites →https://doi.org/10.2807/1560-7917.es.2020.25.13.2000280openalex-snapshot
Only strict quarantine measures can curb the coronavirus disease (COVID-19) outbreak in Italy, 2020
inferredcites →https://doi.org/10.3201/eid2501.171901openalex-snapshot
Complexity of the Basic Reproduction Number (R 0 )
inferredcites →https://doi.org/10.3201/eid2607.200282openalex-snapshot
High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2
inferredcites →https://doi.org/10.4081/idr.2020.8516openalex-snapshot
COVID-19 R0: Magic Number or Conundrum?
inferredcites →https://doi.org/10.48550/arxiv.1111.4246openalex-snapshot
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
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
inferredcites →https://doi.org/10.7717/peerj-cs.1516openalex-snapshot
PyMC: a modern, and comprehensive probabilistic programming framework in Python
inferredcites →https://doi.org/10.7717/peerj-cs.55openalex-snapshot
Probabilistic programming in Python using PyMC3

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.3623169openalex-extracted
inferred← citeshttps://doi.org/10.1002/14651858.cd013717openalex-snapshot
Travel-related control measures to contain the COVID-19 pandemic: a rapid review
inferred← citeshttps://doi.org/10.1002/9781119821724.ch9openalex-snapshot
Some Remarks on the Coronavirus Pandemic in Europe
inferred← citeshttps://doi.org/10.1002/pa.2533openalex-snapshot
Psychological stress: Repercussions of COVID ‐19 on gender
inferred← citeshttps://doi.org/10.1007/978-3-031-41420-6_58openalex-snapshot
Presenting a Flexible Class of INAR(p) Models to Analyze the COVID-19 Series in Mauritius
inferred← citeshttps://doi.org/10.1007/s00466-020-01883-5openalex-snapshot
Memory-based meso-scale modeling of Covid-19
inferred← citeshttps://doi.org/10.1007/s00466-020-01911-4openalex-snapshot
Dynamics identification and forecasting of COVID-19 by switching Kalman filters
inferred← citeshttps://doi.org/10.1007/s10237-021-01520-xopenalex-snapshot
Spatiotemporal modeling of first and second wave outbreak dynamics of COVID-19 in Germany
inferred← citeshttps://doi.org/10.1007/s41109-021-00378-3openalex-snapshot
Incorporating dynamic flight network in SEIR to model mobility between populations
inferred← citeshttps://doi.org/10.1016/j.ces.2020.116330openalex-snapshot
COVID-19: Mechanistic model calibration subject to active and varying non-pharmaceutical interventions
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e25363openalex-snapshot
Predicting Covid-19 pandemic waves with biologically and behaviorally informed universal differential equations
inferred← citeshttps://doi.org/10.1016/j.ijid.2021.09.045openalex-snapshot
COVID-19 pandemic: lessons learned from more than a century of pandemics and current vaccine development for pandemic control
inferred← citeshttps://doi.org/10.1016/j.pmedr.2022.101843openalex-snapshot
Impact of layered non-pharmacological interventions on COVID-19 transmission dynamics in Yucatan, Mexico
inferred← citeshttps://doi.org/10.1016/j.procs.2021.05.034openalex-snapshot
Data-Driven Modeling to Facilitate Policymaking in Fighting to Contain the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.1038/s41598-021-03499-yopenalex-snapshot
Predicting regional COVID-19 hospital admissions in Sweden using mobility data
inferred← citeshttps://doi.org/10.1080/09674845.2020.1826136openalex-snapshot
Understanding the dynamics of COVID-19; implications for therapeutic intervention, vaccine development and movement control
inferred← citeshttps://doi.org/10.1101/2020.06.10.20126771openalex-snapshot
inferred← citeshttps://doi.org/10.1101/2020.06.13.20130658openalex-snapshot
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inferred← citeshttps://doi.org/10.1101/2020.10.08.20209064openalex-snapshot
Social Distancing with Movement Restrictions and the Effective Replication Number of COVID-19: Multi-Country Analysis Based on Phone Mobility Data
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/10.1101/2021.03.19.21253938openalex-snapshot
inferred← citeshttps://doi.org/10.1101/2021.05.06.21256523openalex-snapshot
The COVID-19 pandemic storm in India
inferred← citeshttps://doi.org/10.1101/2021.05.14.21257209openalex-snapshot
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inferred← citeshttps://doi.org/10.1101/2022.01.22.22269686openalex-snapshot
Border closure and travel restrictions to control the spread of COVID-19: an update to a Cochrane review
inferred← citeshttps://doi.org/10.1101/2023.03.11.23287141openalex-snapshot
inferred← citeshttps://doi.org/10.1109/ds-rt52167.2021.9576138openalex-snapshot
A Novel Machine Learning-Assisted Policy Recommendation Method on COVID-19 Vaccination Campaign
inferred← citeshttps://doi.org/10.1111/apm.13160openalex-snapshot
Status: nosocomial transmission and prevention of SARS‐CoV‐2 in a Danish context
inferred← citeshttps://doi.org/10.1111/ijcp.13792openalex-snapshot
Can Tenofovir diphosphate be a candidate drug for Sars‐Cov2? First clinical perspective
inferred← citeshttps://doi.org/10.1186/s13362-021-00107-6openalex-snapshot
Cost effective reproduction number based strategies for reducing deaths from COVID-19
inferred← citeshttps://doi.org/10.12688/f1000research.28482.1openalex-snapshot
Evidence for immunity to SARS-CoV-2 from epidemiological data series
inferred← citeshttps://doi.org/10.12688/f1000research.28482.2openalex-snapshot
Evidence for immunity to SARS-CoV-2 from epidemiological data series
inferred← citeshttps://doi.org/10.12688/f1000research.28482.3openalex-snapshot
Evidence for immunity to SARS-CoV-2 from epidemiological data series
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1013203openalex-snapshot
Synthetic method of analogues for emerging infectious disease forecasting
inferred← citeshttps://doi.org/10.1371/journal.pone.0248372openalex-snapshot
Attitudes on voluntary and mandatory vaccination against COVID-19: Evidence from Germany
inferred← citeshttps://doi.org/10.1371/journal.pone.0263515openalex-snapshot
Re-analyzing the SARS-CoV-2 series using an extended integer-valued time series models: A situational assessment of the COVID-19 in Mauritius
inferred← citeshttps://doi.org/10.1371/journal.pone.0263991openalex-snapshot
Neo-epidemiological machine learning based method for COVID-19 related estimations
inferred← citeshttps://doi.org/10.14748/ahp.v8i1.8616openalex-snapshot
Remdesivir—the medicine that has proven to be a successful new health technology in the battle against COVID-19
inferred← citeshttps://doi.org/10.1515/cmb-2020-0117openalex-snapshot
Detections and SIR simulations of the COVID-19 pandemic waves in Ukraine
inferred← citeshttps://doi.org/10.1515/cmb-2025-0020openalex-snapshot
Study of transmission pattern of COVID-19 among cardiac and noncardiac population using a nonlinear mathematical model
inferred← citeshttps://doi.org/10.1515/mr-2021-0023openalex-snapshot
A review on COVID-19 transmission, epidemiological features, prevention and vaccination
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Analysis of the variability of reported COVID-19 over three weeks in relation to mobility parameters
inferred← citeshttps://doi.org/10.20535/ibb.2021.5.2.230487openalex-snapshot
Visible and Real Sizes of New COVID-19 Pandemic Waves in Ukraine
inferred← citeshttps://doi.org/10.20944/preprints202207.0041.v1openalex-snapshot
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Transport mobility restrictions as a pandemic response: a case study Germany
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Visible and real sizes of the COVID-19 pandemic in Ukraine
inferred← citeshttps://doi.org/10.21203/rs.3.rs-36585/v1openalex-snapshot
Forecasting the COVID-19 Outbreak: An Application of Arima and Fuzzy Time Series Models
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Spatio-temporal modeling of COVID-19 epidemic
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Analysis and Prediction of COVID-19 Outbreak by a Numerical Modelling
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An Overview of a Year with COVID-19: What We Know?
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Data Analytics on the COVID-19 Outbreak in South Asia using Machine Learning Methods
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Inter-Country COVID-19 Contagiousness Variation in Eight African Countries
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Leveraging Rich Data and Machine Learning to Facilitate Policy Making on Public Health Interventions in Fighting to Contain the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.36227/techrxiv.12573755.v1openalex-snapshot
Leveraging Rich Data and Machine Learning to Facilitate Policy Making on Public Health Interventions in Fighting to Contain the COVID-19 Pandemic
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Data-driven Public Health and Social Intervention Modeling to Promote Effective Policy Responses to Curtailing the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.36227/techrxiv.12616142.v1openalex-snapshot
Data-driven Public Health and Social Intervention Modeling to Promote Effective Policy Responses to Curtailing the COVID-19 Pandemic
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What the COVID-19 Pandemic has Taught Us About Future Health Standards
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Manifestaciones Neurológicas y COVID-19
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