Evidence map›Paper›PMID 25843384›Full record

ArticleEpidemics2015

Five challenges for stochastic epidemic models involving global transmission.

Tom Britton, Thomas House, Alun L Lloyd, Denis Mollison, Steven Riley, Pieter Trapman

Abstract read
In one paragraph

Article in Epidemics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. The probability of epidemic burnout in the stochastic SIR model with vital dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

6 authors.

Tom BrittonDepartment of Mathematics, Stockholm University, Stockholm 106 91, Sweden. Electronic address: tom.britton@math.su.se.
Thomas HouseWarwick Infectious Disease Epidemiology Research Centre (WIDER) and Warwick Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK.
Alun L LloydDepartment of Mathematics and Biomathematics Graduate Program, North Carolina State University, Raleigh, NC 27695, USA; Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
Denis MollisonDepartment of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh EH14 4AS, Scotland, UK.
Steven RileyMRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK; Department of Community Medicine and School of Public Health, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China.
Pieter TrapmanDepartment of Mathematics, Stockholm University, Stockholm 106 91, Sweden.

Funding

Ecology of Infectious Diseases (EID)-Immune Landscapes of Human Influenza in HousR01TW008246 · FIC · JOHNS HOPKINS UNIVERSITY · PI CUMMINGS, DEREK A · 2008 to 2011
$1.9M
Improving Robustness of a Tactical Model of Aedes/Dengue DynamicsR01AI091980 · NIAID · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI GOULD, FRED · 2011 to 2014
$1.3M
FIC NIH HHS R01 TW008246FIC NIH HHS R01 TW008246-01Medical Research Council MR/J008761/1Medical Research Council MR/K010174/1NIAID NIH HHS R01 AI091980NIAID NIH HHS R01-AI091980Wellcome TrustWellcome Trust 093488/Z/10/Z
6 · The paper itself

Abstract

The most basic stochastic epidemic models are those involving global transmission, meaning that infection rates depend only on the type and state of the individuals involved, and not on their location in the population. Simple as they are, there are still several open problems for such models. For example, when will such an epidemic go extinct and with what probability (questions depending on the population being fixed, changing or growing)? How can a model be defined explaining the sometimes observed scenario of frequent mid-sized epidemic outbreaks? How can evolution of the infectious agent transmission rates be modelled and fitted to data in a robust way?

Indexed as

Models, StatisticalBiological EvolutionCommunicable DiseasesEndemic DiseasesEpidemicsExtinction, BiologicalGlobal HealthHumansStochastic ProcessesEndemicityExtinctionGenetic evolutionGlobal transmissionStochastic epidemics

Identifiers

PMID25843384
PMCPMC4996665

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.