ArticlePloS one2020
Estimating the herd immunity threshold by accounting for the hidden asymptomatics using a COVID-19 specific model.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- High seroprevalence for SARS-CoV-2 infection in South America, but still not enough for herd immunity!International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Pooled it
- Key Attributes and Clusters of the Korean Exercise Healthcare Industry Viewed through Big Data: Comparison before and after the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2023Article
- The Transmission Dynamics of a Compartmental Epidemic Model for COVID-19 with the Asymptomatic Population via Closed-Form Solutions.Vaccines · 2022Article
- Knowledge, Attitudes and Practices towards SARS-CoV-2 vaccination among morbid obese individuals: a pilot study.Acta bio-medica : Atenei Parmensis · 2022Article
- Estimates of Presumed Population Immunity to SARS-CoV-2 by State in the United States, August 2021.Open forum infectious diseases · 2022Article
- Article
- Dynamical characterization of antiviral effects in COVID-19.Annual reviews in control · 2021Article
- Modelling a pandemic with asymptomatic patients, impact of lockdown and herd immunity, with applications to SARS-CoV-2.Annual reviews in control · 2020Review
- Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence.Wiley interdisciplinary reviews. Data mining and knowledge discoveryReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A quantitative COVID-19 model that incorporates hidden asymptomatic patients is developed, and an analytic solution in parametric form is given. The model incorporates the impact of lock-down and resulting spatial migration of population due to announcement of lock-down. A method is presented for estimating the model parameters from real-world data, and it is shown that the various phases in the observed epidemiological data are captured well. It is shown that increase of infections slows down and herd immunity is achieved when active symptomatic patients are 10-25% of the population for the four countries we studied. Finally, a method for estimating the number of asymptomatic patients, who have been the key hidden link in the spread of the infections, is presented.
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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.