Evidence map›Paper›PMID 38839831›Full record

ArticleScientific reports2024

SIR+ models: accounting for interaction-dependent disease susceptibility in the planning of public health interventions.

Maria M Martignoni, Aura Raulo, Omer Linkovski, Oren Kolodny

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Maria M MartignoniDepartment of Ecology, Evolution and Behavior, Faculty of Sciences, A. Silberman Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem, Israel. maria.martignonimseya@mail.huji.ac.il.
Aura RauloDepartment of Biology, University of Oxford, Oxford, UK.
Omer LinkovskiDepartment of Psychology and The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel.
Oren KolodnyDepartment of Ecology, Evolution and Behavior, Faculty of Sciences, A. Silberman Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem, Israel.

Funding

Israel Science Foundation 1826/20
6 · The paper itself

Abstract

Avoiding physical contact is regarded as one of the safest and most advisable strategies to follow to reduce pathogen spread. The flip side of this approach is that a lack of social interactions may negatively affect other dimensions of health, like induction of immunosuppressive anxiety and depression or preventing interactions of importance with a diversity of microbes, which may be necessary to train our immune system or to maintain its normal levels of activity. These may in turn negatively affect a population's susceptibility to infection and the incidence of severe disease. We suggest that future pandemic modelling may benefit from relying on 'SIR+ models': epidemiological models extended to account for the benefits of social interactions that affect immune resilience. We develop an SIR+ model and discuss which specific interventions may be more effective in balancing the trade-off between minimizing pathogen spread and maximizing other interaction-dependent health benefits. Our SIR+ model reflects the idea that health is not just the mere absence of disease, but rather a state of physical, mental and social well-being that can also be dependent on the same social connections that allow pathogen spread, and the modelling of public health interventions for future pandemics should account for this multidimensionality.

Indexed as

Public HealthCOVID-19Disease SusceptibilityEpidemiological ModelsHumansPandemicsSocial InteractionDisease managementDisease spreadHealth policiesImmunity debtMathematical modelMicrobiomeMicrobiome transmissionOptimal policyPhysical distancingPublic healthSIRSIR+Social distancing

Identifiers

PMID38839831
PMCPMC11153654

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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.