Evidence map›Paper›PMID 25589567›Full record

ArticleJournal of the Royal Society, Interface2015

Demographic buffering: titrating the effects of birth rate and imperfect immunity on epidemic dynamics.

Sinead E Morris, Virginia E Pitzer, Cécile Viboud, C Jessica E Metcalf, Ottar N Bjørnstad, Bryan T Grenfell

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.5field-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

24 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The evolution of post-infection mortality.Proceedings. Biological sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Epidemiological impacts of post-infection mortality.Proceedings. Biological sciences · 2023
    Article
  10. Article
  11. Review
  12. TLQP: Early-stage transportation lock-down and quarantine problem.Transportation research. Part C, Emerging technologies · 2021
    Article
  13. Article
  14. Article
  15. Epidemiological and evolutionary considerations of SARS-CoV-2 vaccine dosing regimes.medRxiv : the preprint server for health sciences · 2021
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Dynamics in a simple evolutionary-epidemiological model for the evolution of an initial asymptomatic infection stage.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

6 authors at 4 institutions in 1 country.

Sinead E MorrisDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA semorris@princeton.edu.
Virginia E PitzerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
Cécile ViboudFogarty International Center, National Institutes of Health, Bethesda, MD, USA.
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
Ottar N BjørnstadFogarty International Center, National Institutes of Health, Bethesda, MD, USA Center for Infectious Disease Dynamics, Department of Entomology, Pennsylvania State University, University Park, PA, USA Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.
Bryan T GrenfellDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
National Institutes of Health · USPrinceton University · USCenter for Disease Dynamics, Economics & Policy · USFogarty International Center · US

Funding

Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI SALGANIK, MATTHEW J. · 2014 to 2018
$2.0M
NICHD NIH HHS P2C HD047879
6 · The paper itself

Abstract

Host demography can alter the dynamics of infectious disease. In the case of perfectly immunizing infections, observations of strong sensitivity to demographic variation have been mechanistically explained through analysis of the susceptible-infected-recovered (SIR) model that assumes lifelong immunity following recovery from infection. When imperfect immunity is incorporated into this framework via the susceptible-infected-recovered-susceptible (SIRS) model, with individuals regaining full susceptibility following recovery, we show that rapid loss of immunity is predicted to buffer populations against the effects of demographic change. However, this buffering is contrary to the dependence on demography recently observed for partially immunizing infections such as rotavirus and respiratory syncytial virus. We show that this discrepancy arises from a key simplification embedded in the SIR(S) framework, namely that the potential for differential immune responses to repeat exposures is ignored. We explore the minimum additional immunological information that must be included to reflect the range of observed dependencies on demography. We show that including partial protection and lower transmission following primary infection is sufficient to capture more realistic reduced levels of buffering, in addition to changes in epidemic timing, across a range of partially and fully immunizing infections. Furthermore, our results identify key variables in this relationship, including R0.

Indexed as

Birth RateEpidemicsComputer SimulationDemographyHumansImmune SystemModels, TheoreticalRespiratory Syncytial Virus InfectionsRotavirus Infectionsacute infectionbirth ratedemographyepidemiologypartial immunitysusceptible–infected–recovered–susceptible

Identifiers

PMID25589567
PMCPMC4345488
OpenAlexW1975363026

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.