Evidence map›Paper›PMID 29950512›Full record

ArticleJournal of the Royal Society, Interface2018

Estimating the distance to an epidemic threshold.

Eamon B O'Dea, Andrew W Park, John M Drake

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Early warning signals of infectious disease transitions: a review.Journal of the Royal Society, Interface · 2021
    Review
  5. Transient indicators of tipping points in infectious diseases.Journal of the Royal Society, Interface · 2020
    Article
  6. Article
  7. Article
  8. The statistics of epidemic transitions.PLoS computational biology · 2019
    Article
  9. 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

3 authors.

Eamon B O'DeaDepartment of Ecology, College of Veterinary Medicine, University of Georgia, Athens, GA, USA ebodea@uga.edu.ORCID 0000-0003-4748-683X
Andrew W ParkOdum School of Ecology, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.ORCID 0000-0003-4080-7274
John M DrakeCenter for the Ecology of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.

Funding

Forecasting tipping points in emerging and re-emerging infectious diseasesU01GM110744 · NIGMS · UNIVERSITY OF GEORGIA · PI DRAKE, JOHN M, EPUREANU, BOGDAN · 2014 to 2018
$3.2M
NIGMS NIH HHS U01 GM110744
6 · The paper itself

Abstract

The epidemic threshold of the susceptible-infected-recovered model is a boundary separating parameters that permit epidemics from those that do not. This threshold corresponds to parameters where the system's equilibrium becomes unstable. Consequently, we use the average rate at which deviations from the equilibrium shrink to define a distance to this threshold. However, the vital dynamics of the host population may occur slowly even when transmission is far from threshold levels. Here, we show analytically how such slow dynamics can prevent estimation of the distance to the threshold from fluctuations in the susceptible population. Although these results are exact only in the limit of long-term observation of a large system, simulations show that they still provide useful insight into systems with a range of population sizes, environmental noise and observation schemes. Having established some guidelines about when estimates are accurate, we then illustrate how multiple distance estimates can be used to estimate the rate of approach to the threshold. The estimation approach is general and may be applicable to zoonotic pathogens such as Middle East respiratory syndrome-related coronavirus (MERS-CoV) as well as vaccine-preventable diseases like measles.

Indexed as

EpidemicsMiddle East Respiratory Syndrome CoronavirusModels, BiologicalAnimalsCoronavirus InfectionsHumansMeaslesZoonosesearly warninginfectious disease modelmultivariate statisticsslowing down

Identifiers

PMID29950512
PMCPMC6030631

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.