Evidence map›Paper›PMID 27667856›Full record

ArticleJournal of mathematical analysis and applications2016

Coinfection Dynamics of Two Diseases in a Single Host Population.

Daozhou Gao, Travis C Porco, Shigui Ruan

Abstract read
In one paragraph

Article in Journal of mathematical analysis and applications, 2016. 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. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Interactions amongJournal of fungi (Basel, Switzerland) · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Modeling Lyme disease transmission.Infectious Disease Modelling · 2017
    Review
  14. Article
  15. 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.

Daozhou GaoMathematics and Science College, Shanghai Normal University, Shanghai, China; Francis I. Proctor Foundation, University of California, San Francisco, CA, USA.
Travis C PorcoFrancis I. Proctor Foundation, University of California, San Francisco, CA, USA; Department of Ophthalmology, University of California, San Francisco, CA, USA; Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA.
Shigui RuanDepartment of Mathematics, University of Miami, Coral Gables, FL, USA.

Funding

"Modeling contact investigation and rapid response"U01GM087728 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PORCO, TRAVIS CHRISTIAN · 2011 to 2015
$2.2M
NIGMS NIH HHS U01 GM087728
6 · The paper itself

Abstract

A susceptible-infectious-susceptible (SIS) epidemic model that describes the coinfection and cotransmission of two infectious diseases spreading through a single population is studied. The host population consists of two subclasses: susceptible and infectious, and the infectious individuals are further divided into three subgroups: those infected by the first agent/pathogen, the second agent/pathogen, and both. The basic reproduction numbers for all cases are derived which completely determine the global stability of the system if the presence of one agent/pathogen does not affect the transmission of the other. When the constraint on the transmissibility of the dually infected hosts is removed, we introduce the invasion reproduction number, compare it with two other types of reproduction number and show the uniform persistence of both diseases under certain conditions. Numerical simulations suggest that the system can display much richer dynamics such as backward bifurcation, bistability and Hopf bifurcation.

Indexed as

backward bifurcationbistabilitycoinfectionHopf bifurcationinvasion reproduction numberuniform persistence

Identifiers

PMID27667856
PMCPMC5032845

What OpenQuestion holds

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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.