ArticleJournal of applied mathematics & computing2022
Modeling and dynamic analysis of novel coronavirus pneumonia (COVID-19) in China.
Article in Journal of applied mathematics & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
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Who cites it
5 citing papers in PubMed.
- Impacts of optimal control strategies on the HBV and COVID-19 co-epidemic spreading dynamics.Scientific reports · 2024Article
- Mathematical modelling, analysis and numerical simulation of social media addiction and depression.PloS one · 2024Article
- Optimal control and cost-effectiveness analysis of a new COVID-19 model for Omicron strain.Physica A · 2022Article
- Mathematical modeling and optimal control of SARS-CoV-2 and tuberculosis co-infection: a case study of Indonesia.Modeling earth systems and environment · 2022Article
- A Mathematical Modeling Analysis of Racism and Corruption Codynamics with Numerical Simulation as Infectious Diseases.Computational and mathematical methods in medicine · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although novel coronavirus pneumonia (COVID-19) was widely spread in mainland China in early 2020, it was soon controlled. To study the impact of government interventions on the spread of disease during epidemics, a differential equation system is established to simulate the process of virus propagation in this paper. We first analyze its basic properties, basic reproduction number
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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.