Evidence map›Paper›PMID 24389426›Full record

ArticleMathematical biosciences2014

Dynamics of SI models with both horizontal and vertical transmissions as well as Allee effects.

Yun Kang, Carlos Castillo-Chavez

Abstract read
In one paragraph

Article in Mathematical biosciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Yun KangScience and Mathematics Faculty, School of Letters and Sciences, Arizona State University, Mesa, AZ 85212, USA. Electronic address: yun.kang@asu.edu.
Carlos Castillo-ChavezMathematical, Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ 85287-1904, USA; School of Human Evolution and Social Changes, Santa Fe Institute, Santa Fe, NM 87501, USA; School of Sustainability, Santa Fe Institute, Santa Fe, NM 87501, USA; Cornell University, Biological Statistics and Computational Biology, Ithaca, NY 14853-2601, USA; Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, 77 MASS Ave. 33-404, Cambridge, MA 02139-4307, USA. Electronic address: ccchavez@asu.edu.

Funding

Modeling Anthropogenic Effects in the Spread of Infectious DiseasesR01GM100471 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI PERRINGS, CHARLES · 2011 to 2014
$1.5M
NIGMS NIH HHS 1R01GM100471-01NIGMS NIH HHS R01 GM100471
6 · The paper itself

Abstract

A general SI (Susceptible-Infected) epidemic system of host-parasite interactions operating under Allee effects, horizontal and/or vertical transmission, and where infected individuals experience pathogen-induced reductions in reproductive ability, is introduced. The initial focus of this study is on the analyses of the dynamics of density-dependent and frequency-dependent effects on SI models (SI-DD and SI-FD). The analyses identify conditions involving horizontal and vertical transmitted reproductive numbers, namely those used to characterize and contrast SI-FD and SI-DD dynamics. Conditions that lead to disease-driven extinction, or disease-free dynamics, or susceptible-free dynamics, or endemic disease patterns are identified. The SI-DD system supports richer dynamics including limit cycles while the SI-FD model only supports equilibrium dynamics. SI models under "small" horizontal transmission rates may result in disease-free dynamics. SI models under with and inefficient reproductive infectious class may lead to disease-driven extinction scenarios. The SI-DD model supports stable periodic solutions that emerge from an unstable equilibrium provided that either the Allee threshold and/or the disease transmission rate is large; or when the disease has limited influence on the infectives growth rate; and/or when disease-induced mortality is low. Host-parasite systems where diffusion or migration of local populations manage to destabilize them are examples of what is known as diffusive instability. The exploration of SI-dynamics in the presence of dispersal brings up the question of whether or not diffusive instability is a possible outcome. Here, we briefly look at such possibility within two-patch coupled SI-DD and SI-FD systems. It is shown that relative high levels of asymmetry, two modes of transmission, frequency dependence, and Allee effects are capable of supporting diffusive instability.

Indexed as

Models, BiologicalBasic Reproduction NumberBiological EvolutionDisease Transmission, InfectiousHost-Parasite InteractionsHumansInfectious Disease Transmission, VerticalMathematical ConceptsParasitic DiseasesPopulation DensityAllee effectsDiffusive instabilityDisease-driven extinctionDisease-free dynamicsHorizontal transmissionVertical transmission

Identifiers

PMID24389426
PMCPMC4091922

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Registered trials

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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.