Evidence map›Paper›PMID 33064223›Full record

ArticleBulletin of mathematical biology2020

Optimal Management of Public Perceptions During A Flu Outbreak: A Game-Theoretic Perspective.

Aniruddha Deka, Buddhi Pantha, Samit Bhattacharyya

Open access · bronzeAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Aniruddha DekaDisease Modelling Lab, Department of Mathematics, School of Natural Sciences, NH-91, Gautam Buddha Nagar, UP, India.
Buddhi PanthaCollege of Arts and Sciences, Abraham Baldwin Agricultural College, Tifton, GA, USA.
Samit BhattacharyyaDisease Modelling Lab, Department of Mathematics, School of Natural Sciences, NH-91, Gautam Buddha Nagar, UP, India. samit.b@snu.edu.in.
Gautam Buddha University · INAbraham Baldwin Agricultural College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public perceptions and sentiments play a crucial role in the success of vaccine uptake in the community. While vaccines have proven to be the best preventive method to combat the flu, the attitude and knowledge about vaccines are a major hindrance to higher uptake in most of the countries. The yearly coverage, especially in the vulnerable groups in the population, often remains below the herd immunity level despite the Flu Awareness Campaign organized by WHO every year worldwide. This brings immense challenges to the nation's public health protection agency for strategic decision-making in controlling the flu outbreak every year. To understand the impact of public perceptions and vaccination decisions while designing optimal immunization policy, we model the individual decision-making as a two-strategy pairwise contest game, where pay-off is considered as a function of public health effort for the campaign. We use Pontryagin's maximum principle to identify the best possible strategy for public health to implement vaccination and reduce infection at a minimum cost. Our optimal analysis shows that the cost of public health initiatives is qualitatively and quantitatively different under different public perceptions and attitudes towards vaccinations. When individual risk perception evolves with vaccine uptake or disease induced death, our model demonstrates a feed-forward mechanism in the dynamics of vaccination and exhibits an increase in vaccine uptake. Using numerical simulation, we also observe that the optimal cost can be minimized by putting the effort in the beginning and later part of the outbreak rather than during the peak. It confers that public health efforts towards disseminating disease severity or actual vaccination risk might accelerate the vaccination coverage and mitigate the infection faster.

Indexed as

Disease OutbreaksGame TheoryInfluenza, HumanModels, BiologicalPublic OpinionHumansImmunity, HerdMathematical ConceptsPerceptionVaccinationEvolutionary game theoryFree-riding behaviourHerd immunityPontryagin’s maximum principleSIR modelVaccination

Identifiers

PMID33064223
PMCPMC7563916
OpenAlexW3092953130

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.