Evidence map›Paper›PMID 33250562›Full record

ArticlePhysica A2021

Exact properties of SIQR model for COVID-19.

Takashi Odagaki

Abstract read
In one paragraph

Article in Physica A, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. New compartment model for COVID-19.Scientific reports · 2023
    Article
  5. COVID-19 modeling based on real geographic and population data.Turkish journal of medical sciences · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Modified SIQR model for the COVID-19 outbreak in several countries.Mathematical methods in the applied sciences · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The effect of weekend curfews on epidemics: a Monte Carlo simulation.Turkish journal of biology = Turk biyoloji dergisi · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Takashi OdagakiKyushu University, Nishiku, Fukuoka 819-0395, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SIQR model is reformulated where compartments for infected and quarantined are redefined so as to be appropriate to COVID-19, and exact properties of the model are presented. It is shown that the maximum number of infected at large depends strongly on the quarantine rate and that the quarantine measure is more effective than the lockdown measure in controlling the pandemic. The peak of the number of quarantined patients is shown to appear some time later than the time that the number of infected becomes maximum. On the basis of the expected utility theory, a theoretical framework to find out an optimum strategy in the space of lockdown measure and quarantine measure is proposed for minimizing the maximum number of infected and for controlling the outbreak of pandemic at its early stage.

Identifiers

PMID33250562
PMCPMC7680020

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.