Evidence map›Paper›PMID 32289049›Full record

ArticleInternational journal of applied and computational mathematics2019

Analysis and Optimal Control of Fractional-Order Transmission of a Respiratory Epidemic Model.

David Yaro, Wilson Osafo Apeanti, Saviour Worlanyo Akuamoah, Dianchen Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of applied and computational mathematics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

David YaroFaculty of Science, Jiangsu University, ZhenJiang, People's Republic of China.ORCID 0000-0002-6382-9727
Wilson Osafo ApeantiFaculty of Science, Jiangsu University, ZhenJiang, People's Republic of China.
Saviour Worlanyo AkuamoahFaculty of Science, Jiangsu University, ZhenJiang, People's Republic of China.
Dianchen LuFaculty of Science, Jiangsu University, ZhenJiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization is yet to realise the global aim of achieving future-free and eliminating the transmission of respiratory diseases such as H1N1, SARS and Ebola since the recent reemergence of Ebola in the Democratic Republic of Congo. In this paper, a Caputo fractional-order derivative is applied to a system of non-integer order differential equation to model the transmission dynamics of respiratory diseases. The nonnegative solutions of the system are obtained by using the Generalized Mean Value Theorem. The next generation matrix approach is used to obtain the basic reproduction number

Indexed as

Caputo fractional derivativeFractional calculusNumerical simulationsOptimal controlRespiratory epidemic modelStability analysis

Identifiers

PMID32289049
PMCPMC7134539

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.