Evidence map›Paper›PMID 35464829›Full record

ArticleMathematical methods in the applied sciences2022

Modified SIQR model for the COVID-19 outbreak in several countries.

Carla M A Pinto, J A Tenreiro Machado, Clara Burgos-Simón

Abstract read
In one paragraph

Article in Mathematical methods in the applied sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Modified SIQR model for the COVID-19 outbreak in several countries.Mathematical methods in the applied sciences · 2022
    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

3 authors.

Carla M A PintoSchool of Engineering Polytechnic of Porto Rua Dr António Bernardino de Almeida, 431 Porto 4249-015 Portugal.ORCID https://orcid.org/0000-0002-0729-1133
J A Tenreiro MachadoSchool of Engineering Polytechnic of Porto Rua Dr António Bernardino de Almeida, 431 Porto 4249-015 Portugal.ORCID https://orcid.org/0000-0003-4274-4879
Clara Burgos-SimónInstitute of Multidisciplinary Mathematics Valencia Spain.ORCID https://orcid.org/0000-0001-6385-4263

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we propose a modified Susceptible-Infected-Quarantine-Recovered (mSIQR) model, for the COVID-19 pandemic. We start by proving the well-posedness of the model and then compute its reproduction number and the corresponding sensitivity indices. We discuss the values of these indices for epidemiological relevant parameters, namely, the contact rate, the proportion of unknown infectious, and the recovering rate. The mSIQR model is simulated, and the outputs are fit to COVID-19 pandemic data from several countries, including France, US, UK, and Portugal. We discuss the epidemiological relevance of the results and provide insights on future patterns, subjected to health policies.

Indexed as

epidemiologymSIQR modelreal data fittingSARS‐CoV‐2

Identifiers

PMID35464829
PMCPMC9015619

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.