Evidence map›Paper›PMID 36127449›Full record

ArticleScientific reports2022

State-controlled epidemic in a game against a novel pathogen.

József Garay, Ádám Kun, Zoltán Varga, Manuel Gámez, Ana Belén Castaño-Fernández, Tamás F Móri

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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
–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

0 citing papers in PubMed.

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.

József GarayInstitute of Evolution, Centre for Ecological Research, Konkoly-Thege M. út 29-33, Budapest, 1121, Hungary.ORCID https://orcid.org/0000-0003-0860-2252
Ádám KunInstitute of Evolution, Centre for Ecological Research, Konkoly-Thege M. út 29-33, Budapest, 1121, Hungary. kunadam@elte.hu.ORCID https://orcid.org/0000-0002-8409-8521
Zoltán VargaDepartment of Mathematics and Modelling, Institute of Mathematics and Basic Science, Hungarian University of Agriculture and Life Sciences, Páter K. u. 1., 2100, Gödöllő, Hungary.ORCID https://orcid.org/0000-0002-4889-3376
Manuel GámezDepartment of Mathematics, University of Almería, La Cañada de San Urbano, 04120, Almería, Spain.ORCID https://orcid.org/0000-0003-2741-3924
Ana Belén Castaño-FernándezDepartment of Mathematics, University of Almería, La Cañada de San Urbano, 04120, Almería, Spain.ORCID https://orcid.org/0000-0002-0846-6185
Tamás F MóriAlfréd Rényi Institute of Mathematics, Reáltanoda u. 13-15., Budapest, 1053, Hungary.ORCID https://orcid.org/0000-0002-9328-7471

Funding

European Research Council 810115 - DYNASNET
6 · The paper itself

Abstract

The pandemic reminded us that the pathogen evolution still has a serious effect on human societies. States, however, can prepare themselves for the emergence of a novel pathogen with unknown characteristics by analysing potential scenarios. Game theory offers such an appropriate tool. In our game-theoretical framework, the state is playing against a pathogen by introducing non-pharmaceutical interventions to fulfil its socio-political goals, such as guaranteeing hospital care to all needed patients, keeping the country functioning, while the applied social restrictions should be as soft as possible. With the inclusion of activity and economic sector dependent transmission rate, optimal control of lockdowns and health care capacity management is calculated. We identify the presence and length of a pre-symptomatic infectious stage of the disease to have the greatest effect on the probability to cause a pandemic. Here we show that contrary to intuition, the state should not strive for the great expansion of its health care capacities even if its goal is to provide care for all requiring it and minimize the cost of lockdowns.

Indexed as

Communicable DiseasesGame TheoryHumansPandemics

Identifiers

PMID36127449
PMCPMC9488893

What OpenQuestion holds

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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.