Evidence map›Paper›PMID 35070651›Full record

ArticleResults in physics2022

Forecast and evaluation of asymptomatic COVID-19 patients spreading in China.

Xiaxia Kang, Ye Hu, Zeyu Liu, Shahzad Sarwar

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Results in physics, 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
0.5field-weighted citation impact, top 43% of its field
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, 4 citations in OpenAlex.

  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

4 authors at 3 institutions in 2 countries.

Xiaxia KangDepartment of Mathematics, Lvliang University, Lishi 033000, PR China.
Ye HuDepartment of Mathematics, Lvliang University, Lishi 033000, PR China.
Zeyu LiuCollege of Science, Northwest A&F University, Yangling 712100, Shaanxi, PR China.
Shahzad SarwarDepartment of Mathematics & Statistics, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Kingdom of Saudi Arabia.
Luliang University · CNKing Fahd University of Petroleum and Minerals · SANorthwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we propose a new SAIR model to depict the transmission dynamics of a novel coronavirus in China. We focus on the ability of asymptomatic COVID-19 patients to transmit and the potential impact of population movements on renewed outbreak transmission. Qualitative analysis of the model shows that when the basic productive number

Indexed as

37B2537G1037N25Asymptomatic patientsDisease COVID-19Global stabilityPopulation mobilityTranscritical bifurcation

Identifiers

PMID35070651
PMCPMC8760652
OpenAlexW4205943158

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.