Evidence map›Paper›PMID 37101929›Full record

ArticleGlobal journal of flexible systems management2023

Prescriptive Analytics-Based SIRM Model for Predicting Covid-19 Outbreak.

Jamal Al Qundus, Shivam Gupta, Hesham Abusaimeh, Silvio Peikert, Adrian Paschke

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global journal of flexible systems management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jamal Al QundusFaculty of Information Technology, Middle East University, Amman, 11831 Jordan.
Shivam GuptaDepartment of Information Systems, Supply Chain Management & Decision Support, NEOMA Business School, 51100 Reims, France.
Hesham AbusaimehFaculty of Information Technology, Middle East University, Amman, 11831 Jordan.
Silvio PeikertFraunhofer, FOKUS, 10589 Berlin, Germany.
Adrian PaschkeFraunhofer, FOKUS, 10589 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the outbreak of a pandemic is an important measure in order to help saving people lives threatened by Covid-19. Having information about the possible spread of the pandemic, authorities and people can make better decisions. For example, such analyses help developing better strategies for distributing vaccines and medicines. This paper has modified the original

Indexed as

Covid-19Impact of vaccine and medicineMathematical theory of SIR modelPandemic outbreak predictionSIR Model

Identifiers

PMID37101929
PMCPMC10020765

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.