Evidence map›Paper›PMID 25339728›Full record

ArticleProceedings. Biological sciences2014

Population viscosity suppresses disease emergence by preserving local herd immunity.

Timothy C Reluga, Eunha Shim

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2014. 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
1.3field-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.

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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Integrative modelling for One Health: pattern, process and participation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  5. 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

2 authors at 2 institutions in 1 country.

Timothy C RelugaDepartment of Mathematics, The Pennsylvania State University, University Park, PA 16802, USA timothy@reluga.org.
Eunha ShimDepartment of Mathematics, University of Tulsa, Tulsa, OK 74104, USA.
Pennsylvania State University · USUniversity of Tulsa · US

Funding

The evolutionary biology of chemotherapy against infectious agents: towards ratiR01GM089932 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI READ, ANDREW F. · 2010 to 2013
$1.1M
NIGMS NIH HHS R01GM089932
6 · The paper itself

Abstract

Animal reservoirs for infectious diseases pose ongoing risks to human populations. In this theory of zoonoses, the introduction event that starts an epidemic is assumed to be independent of all preceding events. However, introductions are often concentrated in communities that bridge the ecological interfaces between reservoirs and the general population. In this paper, we explore how the risks of disease emergence are altered by the aggregation of introduction events within bridge communities. In viscous bridge communities, repeated introductions can elevate the local prevalence of immunity. This local herd immunity can form a barrier reducing the opportunities for disease emergence. In some situations, reducing exposure rates counterintuitively increases the emergence hazards because of off-setting reductions in local immunity. Increases in population mixing can also increase emergence hazards, even when average contact rates are conserved. Our theory of bridge communities may help guide prevention and explain historical emergence events, where disruption of stable economic, political or demographic processes reduced population viscosity at ecological interfaces.

Indexed as

Immunity, HerdModels, ImmunologicalAnimalsCommunicable DiseasesComputer SimulationDisease ReservoirsEpidemicsHumansPopulation DynamicsPrevalenceRisk Assessmentbridge communityemergence hazardinfectious diseaselocal herd immunityparochial versus proselyte transmissionpopulation viscosity

Identifiers

PMID25339728
PMCPMC4213653
OpenAlexW2012342122

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.