A threshold delay model of HIV infection of newborn infants through breastfeeding.

Alexandra Teslya, Redouane Qesmi, Jianhong Wu, Jane M Heffernan

Open access · goldAbstract read

In one paragraph

Article in Infectious Disease Modelling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.2field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 2 countries.

Alexandra TeslyaModelling Infection and Immunity Lab, Centre for Disease Modelling, Mathematics & Statistics, York University, M3J 1P3, Toronto, Canada.

Redouane QesmiSuperior School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco.

Jianhong WuLaboratory for Industrial and Applied Mathematics (LIAM), Centre for Disease Modelling (CDM), Advanced Disaster, Emergency and Rapid Simulation (ADERSIM), Faculty of Science, York University, Toronto, M3J 1P3, Canada.

Jane M HeffernanModelling Infection and Immunity Lab, Centre for Disease Modelling, Mathematics & Statistics, York University, M3J 1P3, Toronto, Canada.

York University · CASidi Mohamed Ben Abdellah University · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The breast milk of HIV infected women contains HIV virus particles, therefore children can become infected through breastfeeding. We develop a mathematical epidemiological model of HIV infection in infants, infected children and infected women that represents infection of an infant/child as a series of exposures, by incorporating within-host virus dynamics in the individuals exposed to the virus through breastfeeding. We show that repeated exposures of the infant/child via breastfeeding can cause bi-stability dynamics and, subsequently, infection persistence even when the epidemiological basic reproduction number

Indexed as

Backward bifurcationBreastfeedingHIVMultiple-exposureState-dependent delayWithin-host

Identifiers

PMID31194190

DOI10.1016/j.idm.2019.05.001

PMCPMC6554533

OpenAlexW2946265797

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.