Evidence map›Paper›PMID 37064013›Full record

ArticleInfectious Disease Modelling2023

The trade-off between COVID-19 and mental diseases burden during a lockdown: Mathematical modeling of control measures.

Alexei Alexeevich Romanyukha, Konstantin Alexandrovich Novikov, Konstantin Konstantinovich Avilov, Timofey Alexandrovich Nestik, Tatiana Evgenevna Sannikova

Open access · goldAbstract read
In one paragraph

Article in Infectious Disease Modelling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 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

5 authors at 1 institution in 1 country.

Alexei Alexeevich RomanyukhaMarchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Gubkina str., 8, Moscow, 119333, Russia.
Konstantin Alexandrovich NovikovMarchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Gubkina str., 8, Moscow, 119333, Russia.
Konstantin Konstantinovich AvilovMarchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Gubkina str., 8, Moscow, 119333, Russia.
Timofey Alexandrovich NestikInstitute of Psychology of the Russian Academy of Sciences, Yaroslavskaya str., 13, Moscow, 129366, Russia.
Tatiana Evgenevna SannikovaMarchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Gubkina str., 8, Moscow, 119333, Russia.
Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 pandemic, many countries used lockdowns as a containment measure. While lockdowns successfully contributed to slowing down the contagion, the related mobility restrictions were reportedly associated with an increased risk of major depressive and anxiety disorders. We aimed to quantify the trade-off between the quality-adjusted life years (QALY) gain due to lower COVID-19 incidence as a result of a lockdown and QALY loss due to lockdown-induced mental disorders. Methods: We developed an agent-based model of COVID-19 epidemic and coupled mental disorder development in the population of a large city. We used data sources on the places of living, studying and working, public health and census surveys. Modeling of mental disorders was based on diathesis-stress concept. We quantified mental and physical health burden in terms of QALY taking into account major depressive and anxiety disorder episodes, lethal and non-lethal cases of COVID-19, and immunization. Findings: We evaluated the dynamics of new major depressive disorder (MDD) and anxiety disorder (AD) cases during the period between September 2020 and December 2021 in Moscow, Russia. We found that lockdown imposition increases the daily chances of getting MDD or ADD by a vulnerable person by 16.79% (95% CI [12.36%, 21.23%]). The QALY loss associated with COVID-19-induced and lockdown-induced mental disorders was estimated to be 18.93% (95% CI [16.94%, 19.73%]) of the total QALY loss caused by COVID-19, immunization, and all kinds of mental disorders. For a synthetic "strong" lockdown, it had been shown that QALY loss is minimized when about 70% of the population are isolated. Interpretation: The burden associated with mental disorders amounts to a considerable part of COVID-19-related losses. Our findings demonstrate that cost-benefit analysis of mobility restriction should include a forecast of mental disorder development in the population.

Indexed as

Agent-based modelCOVID-19Lockdown strictnessMajor depressive and anxiety disordersOptimal lockdownQuality adjusted life years (QALY)

Identifiers

PMID37064013
PMCPMC10084665
OpenAlexW4363649826

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.