Evidence map›Paper›PMID 34155477›Full record

ArticleResults in physics2021

Mathematical search technique for detecting moving novel coronavirus disease (COVID-19) based on minimizing the weight function.

Saad J Almalki, W A Afifi, Abd Al-Aziz Hosni El-Bagoury, Gamal A Abd-Elmougod

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Results in physics, 2021. 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

4 authors.

Saad J AlmalkiDepartment of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
W A AfifiDepartment of Mathematics and Statistics, Faculty of Science, Taibah University, Yanbu, Saudi Arabia.
Abd Al-Aziz Hosni El-BagouryDepartment of Mathematics, Faculty of Science, Tanta University, Tanta, Egypt.
Gamal A Abd-ElmougodDepartment of Mathematics, Faculty of Science, Damanhour University, Damanhour, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of search plans has found considerable interest between searchers due to its interesting applications in our real life like searching for located and moving targets. This paper develops a method for detecting moving targets. We propose a novel strategy based on weight function

Indexed as

CoronavirusCOVID-19Lost targetMoving targetOptimal searchProbability of undetectedWeight function

Identifiers

PMID34155477
PMCPMC8205285

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.