Evidence map›Paper›PMID 36977177›Full record

ArticleTropical medicine and infectious disease2023

Modeling the Spread of COVID-19 with the Control of Mixed Vaccine Types during the Pandemic in Thailand.

Tanatorn Intarapanya, Apichat Suratanee, Sittiporn Pattaradilokrat, Kitiporn Plaimas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tropical medicine and infectious disease, 2023. 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
–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

1 citing paper in PubMed.

  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.

Tanatorn IntarapanyaAdvanced Virtual and Intelligence Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Apichat SurataneeDepartment of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.ORCID 0000-0002-3439-6619
Sittiporn PattaradilokratDepartment of Biology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-1516-1961
Kitiporn PlaimasAdvanced Virtual and Intelligence Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-0416-8316

Funding

Faculty of Science, Chulalongkorn University Research Assistantship FundKing Mongkut's University of Technology North Bangkok KMUTNB-65-KNOW-16
6 · The paper itself

Abstract

COVID-19 is a respiratory disease that can spread rapidly. Controlling the spread through vaccination is one of the measures for activating immunization that helps to reduce the number of infected people. Different types of vaccines are effective in preventing and alleviating the symptoms of the disease in different ways. In this study, a mathematical model,

Indexed as

COVID-19mathematical modelvaccine

Identifiers

PMID36977177
PMCPMC10056006

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.