ArticleEuropean physical journal plus2020
A novel deterministic forecast model for COVID-19 epidemic based on a single ordinary integro-differential equation.
Article in European physical journal plus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Survey on mathematical modeling of infectious disease dynamics: insights and applications.BMC infectious diseases · 2026Review
- A discrete model for the evaluation of public policies: The case of Colombia during the COVID-19 pandemic.PloS one · 2023Article
- Incorporating global dynamics to improve the accuracy of disease models: Example of a COVID-19 SIR model.PloS one · 2022Article
- Impact of control interventions on COVID-19 population dynamics in Malaysia: a mathematical study.European physical journal plus · 2021Article
- Modeling of COVID-19 with limited public health resources: a comparative study of three most affected countries.European physical journal plus · 2021Article
- Role of plasmonics in detection of deadliest viruses: a review.European physical journal plus · 2021Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we present a new approach to deterministic modelling of COVID-19 epidemic. Our model dynamics is expressed by a single prognostic variable which satisfies an integro-differential equation. All unknown parameters are described with a single, time-dependent variable
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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.