Evidence map›Paper›PMID 32717195›Full record

ArticleJournal of theoretical biology2020

Optimal strategies for vaccination and social distancing in a game-theoretic epidemiologic model.

Wongyeong Choi, Eunha Shim

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  16. Mass Testing and Proactiveness Affect Epidemic Spreading.Journal of the Indian Institute of Science · 2021
    Review
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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

2 authors.

Wongyeong ChoiDepartment of Mathematics, Soongsil University, 369 Sangdoro, Dongjak-Gu, Seoul 06978, Republic of Korea. Electronic address: chok10004@soongsil.ac.kr.
Eunha ShimDepartment of Mathematics, Soongsil University, 369 Sangdoro, Dongjak-Gu, Seoul 06978, Republic of Korea. Electronic address: alicia@ssu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For various infectious diseases, vaccination has become a major intervention strategy. However, the importance of social distancing has recently been highlighted during the ongoing COVID-19 pandemic. In the absence of vaccination, or when vaccine efficacy is poor, social distancing may help to curb the spread of new virus strains. However, both vaccination and social distancing are associated with various costs. It is critical to consider these costs in addition to the benefits of these strategies when determining the optimal rates of application of control strategies. We developed a game-theoretic epidemiological model that considers vaccination and social distancing under the assumption that individuals pursue the maximization of payoffs. By using this model, we identified the individually optimal strategy based on the Nash strategy when both strategies are available and when only one strategy is available. Furthermore, we determined the relative costs of control strategies at which individuals preferentially adopt vaccination over social distancing (or vice versa).

Indexed as

BetacoronavirusGame TheoryModels, TheoreticalChoice BehaviorCoronavirus InfectionsCOVID-19HumansPandemicsPhysical DistancingPneumonia, ViralSARS-CoV-2VaccinationGame theoryInfectious diseaseNashSocial-distancingVaccine

Identifiers

PMID32717195
PMCPMC7381420

What OpenQuestion holds

Textmetadata
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Registered trials

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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.