science

List of COVID-19 simulation models

List of COVID-19 simulation models is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand List of COVID-19 simulation models rather than just read about it. In short: COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. The list should not be confused with COVID-19 apps used mainly for digital contact tracing.

Key takeaways

List of COVID-19 simulation models belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect List of COVID-19 simulation models to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of List of COVID-19 simulation models from memory before moving on to harder problems.

Reference excerpt

COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. The list should not be confused with COVID-19 apps used mainly for digital contact tracing. Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.

Models with the most scientific backing The sub-list contains simulators that are based on theoretical models. Due to the high number of pre-print research created and driving by the COVID-19 pandemic, especially newer models should only be considered with further scientific rigor.

Simulations and models Chen et al. simulation based on Bats-Hosts-Reservoir-People (BHRP) model (simplified to RP only) CoSim19 – Prof Lehr, based on SEIRD model COVID-19 MOBILITY MODELING – Stanford based on SEIR model COVID-19 Simulator – Harvard Medical School based on a validated system dynamics (compartment) model COVID-19 Surge – CDC COVIDSIM – by Mark Kok Yew Ng et al. CovidSim – Imperial College London, MRC Centre for Global Infectious Disease Analysis, Neil Ferguson et al. CovidSim – Research project by Munich University of Applied Sciences, Prof. Köster COVIDSim – written in MATLAB by Ng and Gui CovidSIM.eu – Martin Eichner, Markus Schwehm supported by University of Tübingen and sponsored by the German Federal Ministry of Education and Research. CovidSIM – Schneider et al. CovRadar – for molecular surveillance of the Corona spike protein De-Leon and Pederiva – A dynamic particle Monte Carlo algorithm based on the basic principles of statistical physics. Dr. Ghaffarzadegan's model Event Horizon – COVID-19 – HU Berlin based on SIR-X model Evolutionary AI – "Non-pharmaceutical interventions (NPIs) that the AI generates for different countries and regions over time, their predicted effect." From the index case to global spread – Dr. Siwiak, based on GLEAM framework embedding actual population densities, commute patterns and long-range travel networks. IHME model – Institute for Health Metrics and Evaluation COVID model MEmilio – an open source high performance Modular EpideMIcs simuLatIOn software based on hybrid graph-SIR-type model with commuter testing between regions and vaccination strategies and agent-based models OpenCOVID – Swiss Tropical and Public Health Institute (Swiss TPH) – Open access individual-based transmission model of SARS-CoV-2 infection and COVID-19 disease dynamics implemented in R. OxCGRT – The Oxford COVID-19 Government Response Tracker SC-COSMO – Stanford-CIDE Coronavirus Simulation Model SDL-PAND: A digital Twin of the pandemic situation in Catalonia. SECIR – Model by Helmholtz Centre for Infection Research SEIR model on a small-world network used estimate the effect of non-pharmaceutical interventions on the structure of the transmission network SIAM's Epidemiology Collection SIRSS model that combines the dynamics of social stress with classical epidemic models. Social stress is described by the tools of social physics. Smart Investment of Virus RNA Testing Resources to Enhance Covid-19 Mitigation Youyang Gu COVID model

Genome databases Several of these models make use of genome databases, including the following:

DNA Data Bank of Japan European Nucleotide Archive GISAID Phylogenetic Assignment of Named Global Outbreak Lineages

Consortia, research clusters, other collections CDC list of Forecast Inclusion and Assumptions – large list with different models, etc. CORSMA – EU consortium (COVID-19-Outbreak Response combining E-health, Serolomics, Modelling, Artificial Intelligence and Implementation Research) COVID-19 Forecast Hub – Serves as a central repository of forecasts and predictions from over 50 international research groups. Nextstrain – Open-source project to harness the scientific and public health potential of pathogen genome data See also Nextstrain SARS-CoV-2 resources SIMID – Simulation Models of Infectious Diseases – Belgium research consortium RAMP – Rapid Assistance in Modelling the Pandemic (UK) UT Austin COVID-19 Modeling Consortium Computational Approaches to Foster Innovation in the Treatment and Diagnosis of Infectious Diseases by Frontiers

Vaccination monitors, models or dashboards Note: The following (additional) resources are mostly based on actual data, not simulation. They might include predictive features, e. g. vaccination rate estimation, but in general are not based on theoretical or modeling grounds as the main list of this article. Nonetheless, forecasting remains important. (See for example the COVID-19 Forecast Hub)

COVID-19 Dashboard - Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) COVIDVaxView by the CDC Datahub Novel Coronavirus 2019 dataset - COVID-19 dataset Coronavirus disease 2019 (COVID-19) time series listing confirmed cases, reported deaths and reported recoveries. Impfdashboard.de - Germany's vaccination monitor Simulation der COVID19-Impfkampagne - Monitor for vaccination-campaign in Germany by Zi Data Science Lab The Institute for Health Metrics and Evaluation (IHME) COVID-19 Projections See also Institute for Health Metrics and Evaluation COVID model

Models with less scientific backing The following models are purely for educational purposes only.

Cellular Defense Automata model Overview of SARS-CoV-2 variants and mutations that are of interest Covid-19 Simulator COVID19: Top 7 - A curated list posted on Medium github.com/topics: covid-19 ISEE Systems COVID-19 Simulator nCoV2019.live - "Numbers you need at a quick glance" by Schiffmann/Conlon cov19.cc- by Conlon Simul8 - COVID-19 Simulation Resources Simulating coronavirus with the SIR model Virus Spread Simulation

Other related simulations, models or data sources (American Chemical Society) CAS COVID-19 BIOINDICATOR EXPLORER CDC's COVID Data Tracker Civil Society Partners in Solidarity against COVID-19 (CSPAC): Full, live, global, COVID-19 Status Report for 251 locales & 71 Ships Cornell Institute for Social & Economic Research (CISER): COVID-19 Data Sources Eulerian–Lagrangian multiphase modeling, e. g. for transmission of COVID-19 in elevators based on CFD Onset of Symptoms of COVID-19 simulation (Stochastic Progression Model) by Larsen et al. Our World in Data's Coronavirus Source Data The Atlantic's COVID 19 Tracking Project Vadere - Open Source Framework for Pedestrian and Crowd Simulation WHO Coronavirus (COVID-19) Dashboard

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with List of COVID-19 simulation models

Start with the simplest possible case. Write down what List of COVID-19 simulation models claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to List of COVID-19 simulation models before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about List of COVID-19 simulation models ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of List of COVID-19 simulation models

In research: List of COVID-19 simulation models appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses List of COVID-19 simulation models in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: List of COVID-19 simulation models is common in secondary-school and first-year university syllabi. It links to neighbouring topics COVID-19 models, so understanding it makes those chapters shorter.
In everyday life: Look for List of COVID-19 simulation models outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study List of COVID-19 simulation models in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what List of COVID-19 simulation models means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain List of COVID-19 simulation models out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is List of COVID-19 simulation models in simple terms?

COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. The list should not be confused with COVID-19 apps used mainly for digital contact tracing.

Why does List of COVID-19 simulation models matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study List of COVID-19 simulation models?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on List of COVID-19 simulation models.