ReviewSN comprehensive clinical medicine2020
Compartmental Models of the COVID-19 Pandemic for Physicians and Physician-Scientists.
Review in SN comprehensive clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The impact of geo-environmental factors on global COVID-19 transmission: A review of evidence and methodology.The Science of the total environment · 2022Pooled it
- Predictive Models for Forecasting Public Health Scenarios: Practical Experiences Applied during the First Wave of the COVID-19 Pandemic.International journal of environmental research and public health · 2022Pooled it
- Article
- Article
- A Gaussian-process approximation to a spatial SIR process using moment closures and emulators.Biometrics · 2024Article
- Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19.European journal of operational research · 2023Article
- Article
- The effect of non-pharmaceutical interventions on COVID-19 outcomes: A heterogeneous age-related generalisation of the SEIR model.Infectious Disease Modelling · 2023Article
- Exploring Future Signals of COVID-19 and Response to Information Diffusion Using Social Media Big Data.International journal of environmental research and public health · 2023Article
- Article
- Asymptotic Analysis of Optimal Vaccination Policies.Bulletin of mathematical biology · 2023Article
- Mathematical modelling of earlier stages of COVID-19 transmission dynamics in Ghana.Results in physics · 2022Article
- A proposed fractional dynamic system and Monte Carlo-based back analysis for simulating the spreading profile of COVID-19.The European physical journal. Special topics · 2022Article
- COVID-19 wastewater epidemiology: a model to estimate infected populations.The Lancet. Planetary health · 2021Article
- Effectiveness of Face Masks in Reducing the Spread of COVID-19: A Model-Based Analysis.Medical decision making : an international journal of the Society for Medical Decision Making · 2021Article
- Addressing hospitalisations with non-error-free data by generalised SEIR modelling of COVID-19 pandemic.Scientific reports · 2021Article
- Modelling, prediction and design of COVID-19 lockdowns by stringency and duration.Scientific reports · 2021Article
- Modeling of network based digital contact tracing and testing strategies, including the pre-exposure notification system, for the COVID-19 pandemic.Mathematical biosciences · 2021Article
- Impact of US vaccination strategy on COVID-19 wave dynamics.Scientific reports · 2021Article
- Simulation-based evaluation of school reopening strategies during COVID-19: A case study of São Paulo, Brazil.Epidemiology and infection · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection spreads globally, physicians and physician-scientists are confronted with an enlarging body of literature about the nature of this pandemic. Understanding the current epidemiological models for disease spread, mortality, and recovery is more important than ever before. One of the most relevant mathematical models relating to the spread of a pandemic is the susceptible-infectious-removed (SIR) model. Other models worth exploring are the susceptible-exposed-infectious-removed (SEIR) and the susceptible-unquarantined-quarantined-confirmed (SUQC) model.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.