Evidence map›Paper›PMID 32172448›Full record

ArticleBulletin of mathematical biology2020

An Epidemiological Model of Malaria Accounting for Asymptomatic Carriers.

Jacob B Aguilar, Juan B Gutierrez

Open access · hybridAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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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

2 authors at 2 institutions in 1 country.

Jacob B AguilarDepartment of Mathematics and Sciences, Saint Leo University, Saint Leo, FL, 33574, USA.
Juan B GutierrezDepartment of Mathematics, University of Texas at San Antonio, San Antonio, TX, 78249, USA. juan.gutierrez3@utsa.edu.
Saint Leo University · USThe University of Texas at San Antonio · US

Funding

Vector Biology Research and Integrated Vector Management For Malaria ControlU19AI089702 · NIAID · CAUCASECO SCIENTIFIC RESEARCH CENTER · PI HERRERA VALENCIA, SOCRATES · 2010 to 2016
$11.5M
NIAID NIH HHS U19 AI089702
6 · The paper itself

Abstract

Asymptomatic individuals in the context of malarial disease are subjects who carry a parasite load, but do not show clinical symptoms. A correct understanding of the influence of asymptomatic individuals on transmission dynamics will provide a comprehensive description of the complex interplay between the definitive host (female Anopheles mosquito), intermediate host (human), and agent (Plasmodium parasite). The goal of this article is to conduct a rigorous mathematical analysis of a new compartmentalized malaria model accounting for asymptomatic human hosts for the purpose of calculating the basic reproductive number ([Formula: see text]) and determining the bifurcations that might occur at the onset of disease-free equilibrium. A point of departure of this model from others appearing in the literature is that the asymptomatic compartment is decomposed into two mutually disjoint sub-compartments by making use of the naturally acquired immunity of the population under consideration. After deriving the model, a qualitative analysis is carried out to classify the stability of the equilibria of the system. Our results show that the dynamical system is locally asymptotically stable provided that [Formula: see text]. However, this stability is not global, owning to the occurrence of a sub-critical bifurcation in which additional non-trivial sub-threshold equilibrium solutions appear in response to a specified parameter being perturbed. To ensure that the model does not undergo a backward bifurcation, we demand an auxiliary parameter denoted [Formula: see text] in addition to the threshold constraint [Formula: see text]. The authors hope that this qualitative analysis will fill in the gaps of what is currently known about asymptomatic malaria and aid in designing strategies that assist the further development of malaria control and eradication efforts.

Indexed as

Models, BiologicalAnimalsAnophelesCarrier StateComputer SimulationEndemic DiseasesFemaleHost-Parasite InteractionsHumansImmunity, InnateMalariaMathematical ConceptsMosquito VectorsPlasmodiumAsymptomatic malariaNaturally acquired immunityRelapse malariaReproductive thresholdSensitivity analysis

Identifiers

PMID32172448
PMCPMC7072066
OpenAlexW2567980235

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.