Evidence map›Paper›PMID 15615623›Full record

ArticleJournal of theoretical biology2005

The effect of treatment on pathogen virulence.

Travis C Porco, James O Lloyd-Smith, Kimber L Gross, Alison P Galvani

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. The evolution of post-infection mortality.Proceedings. Biological sciences · 2024
    Article
  2. Article
  3. Article
  4. Pathogens (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Contrasting evolution of virulence and replication rate in an emerging bacterial pathogen.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Bi-logistic model for disease dynamics caused byRoyal Society open science · 2017
    Article
  12. Article
  13. The role of evolutionary biology in research and control of liver flukes in Southeast Asia.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016
    Review
  14. Article
  15. An Agent-Based Model of School Closing in Under-Vacccinated Communities During Measles Outbreaks.Agent-Directed Simulation Symposium (ADS). Agent-directed Simulation Symposium · 2016
    Article
  16. Article
  17. Article
  18. Multiple scales of selection influence the evolutionary emergence of novel pathogens.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013
    Article
  19. Article
  20. 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

4 authors.

Travis C PorcoSan Francisco Department of Public Health, 101 Grove St., Suite 204, San Francisco, CA, USA. tporco@dhs.ca.gov
James O Lloyd-Smith
Kimber L Gross
Alison P Galvani

Funding

FORECASTING HIV EVOLUTION IN IVDUs AND OTHER POPULATIONSR01DA013510 · NIDA · UNIVERSITY OF CALIFORNIA BERKELEY · PI GETZ, WAYNE M · 2000 to 2004
$1.3M
NIDA NIH HHS 5-R01-DA-13510NIDA NIH HHS R01 DA013510
6 · The paper itself

Abstract

The optimal virulence of a pathogen is determined by a trade-off between maximizing the rate of transmission and maximizing the duration of infectivity. Treatment measures such as curative therapy and case isolation exert selective pressure by reducing the duration of infectivity, reducing the value of duration-increasing strategies to the pathogen and favoring pathogen strategies that maximize the rate of transmission. We extend the trade-off models of previous authors, and represents the reproduction number of the pathogen as a function of the transmissibility, host contact rate, disease-induced mortality, recovery rate, and treatment rate, each of which may be influenced by the virulence. We find that when virulence is subject to a transmissibility-mortality trade-off, treatment can lead to an increase in optimal virulence, but that in other scenarios (such as the activity-recovery trade-off) treatment decreases the optimal virulence. Paradoxically, when levels of treatment rise with pathogen virulence, increasing control efforts may raise predicted levels of optimal virulence. Thus we show that conflict can arise between the epidemiological benefits of treatment and the evolutionary risks of heightened virulence.

Indexed as

Infection ControlCommunicable DiseasesHumansImmunity, InnateModels, BiologicalModels, StatisticalPatient IsolationVirulence

Identifiers

PMID15615623
PMCPMC7126720

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.