ArticleResults in physics2021
On the necessity of proper quarantine without lock down for 2019-nCoV in the absence of vaccine.
Article in Results in physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- Epidemic threshold of a COVID-19 model with gaussian white noise and semi-Markov switching.Journal of the Franklin Institute · 2023Article
- Article
- A mathematical model for SARS-CoV-2 in variable-order fractional derivative.The European physical journal. Special topics · 2022Article
- A proposed fractional dynamic system and Monte Carlo-based back analysis for simulating the spreading profile of COVID-19.The European physical journal. Special topics · 2022Article
- A class of delay SIQR-V models considering quarantine and vaccination: Validation based on the COVID-19 perspective.Results in physics · 2021Article
- Network Autoregressive Model for the Prediction of COVID-19 Considering the Disease Interaction in Neighboring Countries.Entropy (Basel, Switzerland) · 2021Article
- Predictive models for COVID-19 cases, deaths and recoveries in Algeria.Results in physics · 2021Article
- Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.Results in physics · 2021Article
- Time-variant reliability-based prediction of COVID-19 spread using extended SEIVR model and Monte Carlo sampling.Results in physics · 2021Article
- Fractional Model and Numerical Algorithms for Predicting COVID-19 with Isolation and Quarantine Strategies.International journal of applied and computational mathematics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Presently the world is passing through a critical phase due to the prevalence of the Novel Corona virus, 2019-nCoV or COVID-19, which has been declared a pandemic by WHO. The virus transmits via droplets of saliva or discharge from the nose when an infected person coughs or sneezes. Due to the absence of vaccine, to prevent the disease, social distancing and proper quarantine of infected populations are needed. Non-resident citizens coming from several countries need to be quarantined for 14 days prior to their entrance. The same is to be applied for inter-state movements within a country. The purpose of this article is to propose mathematical models, based on quarantine with no lock down, that describe the dynamics of transmission and spread of the disease thereby proposing an effective preventive measure in the absence of vaccine.
Indexed as
Identifiers
What OpenQuestion holds
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.