Evidence map›Paper›PMID 34658535›Full record

ArticleNeural computing & applications2021

A simulated measurement for COVID-19 pandemic using the effective reproductive number on an empirical portion of population: epidemiological models.

Belal Alsinglawi, Omar Mubin, Fady Alnajjar, Khalid Kheirallah, Mahmoud Elkhodr, Mohammed Al Zobbi, Mauricio Novoa, Mudassar Arsalan, Tahmina Nasrin Poly, Munkhjargal Gochoo and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neural computing & applications, 2021. 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. 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

12 authors.

Belal Alsinglawi *School of Computer, Data and Mathematical Sciences, Western Sydney University, Rydalmere, NSW 2116 Australia.
Omar Mubin *School of Computer, Data and Mathematical Sciences, Western Sydney University, Rydalmere, NSW 2116 Australia.
Fady AlnajjarCollege of Information Technology, United Arab Emirates University, Al Ain, UAE.
Khalid KheirallahDepartment of Public Health, Medical School of Jordan University of Science and Technology, Irbid, Jordan.
Mahmoud ElkhodrSchool of Engineering and Technology, Central Queensland University, Rockhampton, Queensland Australia.
Mohammed Al ZobbiSchool of Computer, Data and Mathematical Sciences, Western Sydney University, Rydalmere, NSW 2116 Australia.
Mauricio NovoaSchool of Built Environment, Western Sydney University, Rydalmere, NSW 2116 Australia.
Mudassar ArsalanSchool of Computer, Data and Mathematical Sciences, Western Sydney University, Rydalmere, NSW 2116 Australia.
Tahmina Nasrin PolyCollege of Medical Science and Technology, Taipei Medical University, Taipei, 101 Taiwan.
Munkhjargal GochooCollege of Information Technology, United Arab Emirates University, Al Ain, UAE.
Gulfaraz KhanCollege of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.
Kapal DevDepartment of Institute of Intelligent Systems, University of Johannesburg, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 as a global pandemic has had an unprecedented impact on the entire world. Projecting the future spread of the virus in relation to its characteristics for a specific suite of countries against a temporal trend can provide public health guidance to governments and organizations. Therefore, this paper presented an epidemiological comparison of the traditional SEIR model with an extended and modified version of the same model by splitting the infected compartment into asymptomatic mild and symptomatic severe. We then exposed our derived layered model into two distinct case studies with variations in mitigation strategies and non-pharmaceutical interventions (NPIs) as a matter of benchmarking and comparison. We focused on exploring the United Arab Emirates (a small yet urban centre (where clear sequential stages NPIs were implemented). Further, we concentrated on extending the models by utilizing the effective reproductive number (

Indexed as

COVID-19Effective reproductive numberEpidemiologic methodsOutbreakSEIRSimulation

Identifiers

PMID34658535
PMCPMC8502096

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.