ReviewPhysics reports2020
COVID-19 and SARS-CoV-2. Modeling the present, looking at the future.
Review in Physics reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
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
76 citing papers in PubMed.
- Study on the impact of COVID-19 epidemic and agent disease risk simulation model based on individual factors in Xi'an City.Frontiers in cellular and infection microbiology · 2025Article
- Quantum-Like Approaches Unveil the Intrinsic Limits of Predictability in Compartmental Models.Entropy (Basel, Switzerland) · 2024Article
- A New Diffusion Strategy Using an Epidemic Spreading Model for Encryption.Entropy (Basel, Switzerland) · 2024Article
- Assessing the dynamics and impact of COVID-19 vaccination on disease spread: A data-driven approach.Infectious Disease Modelling · 2024Article
- A data-driven combined prediction method for the demand for intensive care unit healthcare resources in public health emergencies.BMC health services research · 2024Article
- Article
- Quantifying the heterogeneous impact of lockdown policies on different socioeconomic classes during the first COVID-19 wave in Colombia.Scientific reports · 2023Article
- The coevolution of the spread of a disease and competing opinions in multiplex networks.Chaos, solitons, and fractals · 2023Article
- Fractal dimension based geographical clustering of COVID-19 time series data.Scientific reports · 2023Article
- The race to understand immunopathology in COVID-19: Perspectives on the impact of quantitative approaches to understand within-host interactions.Immunoinformatics (Amsterdam, Netherlands) · 2023Review
- Stochastic simulation of successive waves of COVID-19 in the province of Barcelona.Infectious Disease Modelling · 2023Article
- Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference.BMC medical research methodology · 2023Article
- Modeling the impact of the Omicron infection wave in Germany.Biology methods & protocols · 2023Article
- A comparative study of the COVID-19 vaccine efficacy among cancer patients: mRNA versus non-mRNA.PloS one · 2023Article
- Exploring a COVID-19 Endemic Scenario: High-Resolution Agent-Based Modeling of Multiple Variants.Advanced theory and simulations · 2023Article
- Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning system.Communications medicine · 2022Article
- A Bayesian predictive analytics model for improving long range epidemic forecasting during an infection wave.Healthcare analytics (New York, N.Y.) · 2022Article
- Data-driven approach in a compartmental epidemic model to assess undocumented infections.Chaos, solitons, and fractals · 2022Article
- Urban Determinants of COVID-19 Spread: a Comparative Study across Three Cities in New York State.Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- Decavanadate interactions with the elements of the SARS-CoV-2 spike protein highlight the potential role of electrostatics in disrupting the infectivity cycle.Journal of inorganic biochemistry · 2022Article
16 more citing papers are in PubMed but not listed here.
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
Since December 2019 the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has produced an outbreak of pulmonary disease which has soon become a global pandemic, known as COronaVIrus Disease-19 (COVID-19). The new coronavirus shares about 82% of its genome with the one which produced the 2003 outbreak (SARS CoV-1). Both coronaviruses also share the same cellular receptor, which is the angiotensin-converting enzyme 2 (ACE2) one. In spite of these similarities, the new coronavirus has expanded more widely, more faster and more lethally than the previous one. Many researchers across the disciplines have used diverse modeling tools to analyze the impact of this pandemic at global and local scales. This includes a wide range of approaches - deterministic, data-driven, stochastic, agent-based, and their combinations - to forecast the progression of the epidemic as well as the effects of non-pharmaceutical interventions to stop or mitigate its impact on the world population. The physical complexities of modern society need to be captured by these models. This includes the many ways of social contacts - (multiplex) social contact networks, (multilayers) transport systems, metapopulations, etc. - that may act as a framework for the virus propagation. But modeling not only plays a fundamental role in analyzing and forecasting epidemiological variables, but it also plays an important role in helping to find cures for the disease and in preventing contagion by means of new vaccines. The necessity for answering swiftly and effectively the questions:
Identifiers
What Socratic 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 Socratic graph.