Evidence map›Paper›PMID 31641147›Full record

ArticleScientific reports2019

Dynamics of beneficial epidemics.

Andrew Berdahl, Christa Brelsford, Caterina De Bacco, Marion Dumas, Vanessa Ferdinand, Joshua A Grochow, Laurent Hébert-Dufresne, Yoav Kallus, Christopher P Kempes, Artemy Kolchinsky and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. 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
–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

5 citing papers in PubMed.

  1. Article
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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

15 authors.

Andrew BerdahlSanta Fe Institute, Santa Fe, NM, 87501, USA.ORCID http://orcid.org/0000-0002-5057-0103
Christa BrelsfordSanta Fe Institute, Santa Fe, NM, 87501, USA.
Caterina De BaccoSanta Fe Institute, Santa Fe, NM, 87501, USA.
Marion DumasSanta Fe Institute, Santa Fe, NM, 87501, USA.
Vanessa FerdinandSanta Fe Institute, Santa Fe, NM, 87501, USA.
Joshua A GrochowSanta Fe Institute, Santa Fe, NM, 87501, USA.ORCID http://orcid.org/0000-0002-6466-0476
Laurent Hébert-DufresneSanta Fe Institute, Santa Fe, NM, 87501, USA.
Yoav KallusSanta Fe Institute, Santa Fe, NM, 87501, USA.ORCID http://orcid.org/0000-0002-1968-4671
Christopher P KempesSanta Fe Institute, Santa Fe, NM, 87501, USA. ckempes@gmail.com.
Artemy KolchinskySanta Fe Institute, Santa Fe, NM, 87501, USA.ORCID http://orcid.org/0000-0002-3518-9208
Daniel B LarremoreSanta Fe Institute, Santa Fe, NM, 87501, USA.
Eric LibbySanta Fe Institute, Santa Fe, NM, 87501, USA.
Eleanor A PowerSanta Fe Institute, Santa Fe, NM, 87501, USA.ORCID http://orcid.org/0000-0002-3064-2050
Caitlin A SternSanta Fe Institute, Santa Fe, NM, 87501, USA.
Brendan D TraceySanta Fe Institute, Santa Fe, NM, 87501, USA.

Funding

Using Dengue Controlled Human Infection Model to Identify Adaptive Immune Correlates of ProtectionP20GM125498 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Kristen Pierce · 2018 to 2026
$24.9M
NIGMS NIH HHS P20 GM125498
6 · The paper itself

Abstract

Pathogens can spread epidemically through populations. Beneficial contagions, such as viruses that enhance host survival or technological innovations that improve quality of life, also have the potential to spread epidemically. How do the dynamics of beneficial biological and social epidemics differ from those of detrimental epidemics? We investigate this question using a breadth-first modeling approach involving three distinct theoretical models. First, in the context of population genetics, we show that a horizontally-transmissible element that increases fitness, such as viral DNA, spreads superexponentially through a population, more quickly than a beneficial mutation. Second, in the context of behavioral epidemiology, we show that infections that cause increased connectivity lead to superexponential fixation in the population. Third, in the context of dynamic social networks, we find that preferences for increased global infection accelerate spread and produce superexponential fixation, but preferences for local assortativity halt epidemics by disconnecting the infected from the susceptible. We conclude that the dynamics of beneficial biological and social epidemics are characterized by the rapid spread of beneficial elements, which is facilitated in biological systems by horizontal transmission and in social systems by active spreading behavior of infected individuals.

Indexed as

Genetic FitnessModels, GeneticDisease Transmission, InfectiousEpidemicsEvolution, MolecularGenetics, PopulationHumansVirus Diseases

Identifiers

PMID31641147
PMCPMC6805938

What OpenQuestion holds

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LicenceCC BY
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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.