Evidence map›Paper›PMID 38558958›Full record

ArticleInfectious Disease Modelling2024

Evaluating the spike in the symptomatic proportion of SARS-CoV-2 in China in 2022 with variolation effects: a modeling analysis.

Salihu S Musa, Shi Zhao, Ismail Abdulrashid, Sania Qureshi, Andrés Colubri, Daihai He

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

Article in Infectious Disease Modelling, 2024. 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
3.2field-weighted citation impact, top 9% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

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

6 authors at 4 institutions in 6 countries.

Salihu S MusaDepartment of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
Shi ZhaoSchool of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Ismail AbdulrashidSchool of Finance and Operations Management, The University of Tulsa, 800 South Tucker Dr., Tulsa, OK, 74104, USA.
Sania QureshiDepartment of Basic Sciences and Related Studies, Mehran University of Engineering and Tech., Jamshoro, Pakistan.
Andrés ColubriDepartment of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
Daihai HeDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong SAR, China.
Hong Kong Polytechnic University · HKMehran University of Engineering and Technology · PKTianjin Medical University · CNUniversity of Tulsa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite most COVID-19 infections being asymptomatic, mainland China had a high increase in symptomatic cases at the end of 2022. In this study, we examine China's sudden COVID-19 symptomatic surge using a conceptual SIR-based model. Our model considers the epidemiological characteristics of SARS-CoV-2, particularly variolation

Indexed as

EpidemicEpidemiological modelingReproduction numberSARS-CoV-2Variolation

Identifiers

PMID38558958
PMCPMC10978539
OpenAlexW4392640721

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.