ArticleISA transactions2022
A compartmental epidemic model incorporating probable cases to model COVID-19 outbreak in regions with limited testing capacity.
Article in ISA transactions, 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.
- Sliding mode control with stochastic modeling and mobility interaction for managing epidemic spread in high-population regions.Parasite epidemiology and control · 2025Article
- The epidemic forest reveals the spatial pattern of the spread of acute respiratory infections in Jakarta, Indonesia.Scientific reports · 2024Article
- Multi-objective T-S fuzzy control of Covid-19 spread model: An LMI approach.Biomedical signal processing and control · 2023Article
- Five-week warning of COVID-19 peaks prior to the Omicron surge in Detroit, Michigan using wastewater surveillance.The Science of the total environment · 2022Article
- Linear parameter varying model of COVID-19 pandemic exploiting basis functions.Biomedical signal processing and control · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose a new compartmental epidemic model taking into account people who have symptoms with no confirmatory laboratory testing (probable cases). We prove well-posedness of the model and provide an explicit expression for the basic reproduction number (R
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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.