Evidence map›Paper›PMID 37355758›Full record

ArticleScientific reports2023

Attitudinal analysis of vaccination effects to lead endemic phases.

Donggyun Ku, Gahyun Kim, Kyong Ran Peck, In Kwon Park, Rakwoo Chang, Donghan Kim, Seungjae Lee

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
0.4field-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

0 citing papers in PubMed, 2 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

7 authors at 4 institutions in 1 country.

Donggyun KuUniversity of Seoul, Seoul, South Korea.
Gahyun KimUniversity of Seoul, Seoul, South Korea.
Kyong Ran PeckDivision of Infectious Diseases, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.
In Kwon ParkSeoul National University, Seoul, South Korea.
Rakwoo ChangUniversity of Seoul, Seoul, South Korea.
Donghan KimKorea Research Institute for Human Settlements, Sejong, South Korea.
Seungjae LeeUniversity of Seoul, Seoul, South Korea. sjlee@uos.ac.kr.
University of Seoul · KRKorea Research Institute for Human Settlements · KRSamsung Medical Center · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To achieve endemic phases, repeated vaccinations are necessary. However, individuals may grapple with whether to get vaccinated due to potential side effects. When an individual is already immune due to previous infections or vaccinations, the perceived risk from vaccination is often less than the risk of infection. Yet, repeated rounds of vaccination can lead to avoidance, impeding the establishment of endemic phases. We explore this phenomenon using an individual-based Monte Carlo simulation, validating our findings with game theory. The Nash equilibrium encapsulates individuals' non-cooperative behavior, while the system's optimal value represents the societal benefits of altruistic cooperation. We define the difference between these as the price of anarchy. Our simulations reveal that the price of anarchy must fall below a threshold of 12.47 for endemic phases to be achieved in a steady state. This suggests that for a basic reproduction number of 10, a consistent vaccination rate greater than 89% is required. These findings offer new insights into vaccination-related decision-making and can inform effective strategies to tackle infectious diseases.

Indexed as

Game TheoryVaccinationAltruismComputer SimulationHumans

Identifiers

PMID37355758
PMCPMC10290696
OpenAlexW4381930537

What OpenQuestion 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 OpenQuestion graph.