ArticleResults in physics2022
Stochastic differential equation model of Covid-19: Case study of Pakistan.
Article in Results in physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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Who cites it
6 citing papers in PubMed.
- Fractional-order SIR model for ADHD as a neurobiological and genetic disorder.Scientific reports · 2025Article
- A Mechanistic Model for Long COVID Dynamics.Mathematics (Basel, Switzerland) · 2023Article
- Predictive dynamical modeling and stability of the equilibria in a discrete fractional difference COVID-19 epidemic model.Results in physics · 2023Article
- Stochastic analysis of a COVID-19 model with effects of vaccination and different transition rates: Real data approach.Chaos, solitons, and fractals · 2023Article
- Monte Carlo Simulation of Stochastic Differential Equation to Study Information Geometry.Entropy (Basel, Switzerland) · 2022Article
- Comparative Dynamics of Delta and Omicron SARS-CoV-2 Variants across and between California and Mexico.Viruses · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, the world lived a horrible nightmare named the Covid-19 pandemic. It's changing lifestyle caused the closure of critical establishments like schools, sports halls, companies, etc., as well as causing damage and menace for humanity. Mathematical models are helpful tools for modeling and analysing the infectious disease transmission This article presents a stochastic model of the Covid-19 epidemic for a population with five compartments. We give a numerical analysis of the proposed stochastic model. Also, we compare it with results of the corresponding deterministic model.
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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.