ArticleChaos, solitons, and fractals2020
SBDiEM: A new mathematical model of infectious disease dynamics.
Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Forecasting Acute Hemorrhagic Conjunctivitis Incidence in Henan, China: A Comparative Study of Seasonal Autoregressive Fractionally Integrated Moving Average and Seasonal Autoregressive Integrated Moving Average Models.Risk management and healthcare policy · 2026Article
- Modeling the non-integer dynamics of a vector-borne infection with nonlocal and nonsingular kernel.Scientific reports · 2025Article
- A Century of Mathematical Epidemiology: A Bibliometric Analysis and Visualization of Research Trends.Cureus · 2024Review
- Application of an ARFIMA Model to Estimate Hepatitis C Epidemics in Henan, China.The American journal of tropical medicine and hygiene · 2024Article
- A nonlinear mathematical model on the Covid-19 transmission pattern among diabetic and non-diabetic population.Mathematics and computers in simulation · 2023Article
- Modeling and analysis of novel COVID-19 outbreak under fractal-fractional derivative in Caputo sense with power-law: a case study of Pakistan.Modeling earth systems and environment · 2023Article
- Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model.Bioengineering (Basel, Switzerland) · 2023Article
- An Effective Strategy and Mathematical Model to Predict the Sustainable Evolution of the Impact of the Pandemic Lockdown.Healthcare (Basel, Switzerland) · 2022Article
- Mathematical modeling of the outbreak of COVID-19.Network modeling and analysis in health informatics and bioinformatics · 2022Article
- Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review.Archives of computational methods in engineering : state of the art reviews · 2022Review
- Mathematical COVID-19 model with vaccination: a case study in Saudi Arabia.PeerJ. Computer science · 2022Article
- Unveiling social distancing mechanisms via a fish-robot hybrid interaction.Biological cybernetics · 2021Review
- Article
- Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.Scientific reports · 2021Article
- Ranking non-pharmaceutical interventions against Covid-19 global pandemic using global sensitivity analysis-Effect on number of deaths.Chaos, solitons, and fractals · 2021Article
- Linear parameter varying model of COVID-19 pandemic exploiting basis functions.Biomedical signal processing and control · 2021Article
- Modeling and controlling the spread of epidemic with various social and economic scenarios.Chaos, solitons, and fractals · 2021Article
- Impact of COVID-19 in Minas Gerais, Brazil: Excess deaths, sub-notified cases, geographic and ethnic distribution.Transboundary and emerging diseases · 2021Article
- Impact of pangolin bootleg market on the dynamics of COVID-19 model.Results in physics · 2021Article
- Mathematical model for spreading of COVID-19 virus with the Mittag-Leffler kernel.Numerical methods for partial differential equations · 2020Article
Corrections and comments
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
A worldwide multi-scale interplay among a plethora of factors, ranging from micro-pathogens and individual or population interactions to macro-scale environmental, socio-economic and demographic conditions, entails the development of highly sophisticated mathematical models for robust representation of the contagious disease dynamics that would lead to the improvement of current outbreak control strategies and vaccination and prevention policies. Due to the complexity of the underlying interactions, both deterministic and stochastic epidemiological models are built upon incomplete information regarding the infectious network. Hence, rigorous mathematical epidemiology models can be utilized to combat epidemic outbreaks. We introduce a new spatiotemporal approach (SBDiEM) for modeling, forecasting and nowcasting infectious dynamics, particularly in light of recent efforts to establish a global surveillance network for combating pandemics with the use of artificial intelligence. This model can be adjusted to describe past outbreaks as well as COVID-19. Our novel methodology may have important implications for national health systems, international stakeholders and policy makers.
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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.