Evidence map›Paper›PMID 37076740›Full record

ArticleBulletin of mathematical biology2023

Optimal Interruption of P. vivax Malaria Transmission Using Mass Drug Administration.

Md Nurul Anwar, Roslyn I Hickson, Somya Mehra, David J Price, James M McCaw, Mark B Flegg, Jennifer A Flegg

Open access · hybridAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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  5. Heliyon · 2024
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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

7 authors at 4 institutions in 2 countries.

Md Nurul AnwarSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.
Roslyn I HicksonSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.
Somya MehraSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.
David J PriceDepartment of Infectious Diseases, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia.
James M McCawSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.
Mark B FleggSchool of Mathematics, Monash University, Melbourne, Australia.
Jennifer A FleggSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia. jennifer.flegg@unimelb.edu.au.ORCID http://orcid.org/0000-0002-8809-726X
The University of Melbourne · AUCommonwealth Scientific and Industrial Research Organisation · AUGopalganj Science and Technology University · BDMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasmodium vivax is the most geographically widespread malaria-causing parasite resulting in significant associated global morbidity and mortality. One of the factors driving this widespread phenomenon is the ability of the parasites to remain dormant in the liver. Known as 'hypnozoites', they reside in the liver following an initial exposure, before activating later to cause further infections, referred to as 'relapses'. As around 79-96% of infections are attributed to relapses from activating hypnozoites, we expect it will be highly impactful to apply treatment to target the hypnozoite reservoir (i.e. the collection of dormant parasites) to eliminate P. vivax. Treatment with radical cure, for example tafenoquine or primaquine, to target the hypnozoite reservoir is a potential tool to control and/or eliminate P. vivax. We have developed a deterministic multiscale mathematical model as a system of integro-differential equations that captures the complex dynamics of P. vivax hypnozoites and the effect of hypnozoite relapse on disease transmission. Here, we use our multiscale model to study the anticipated effect of radical cure treatment administered via a mass drug administration (MDA) program. We implement multiple rounds of MDA with a fixed interval between rounds, starting from different steady-state disease prevalences. We then construct an optimisation model with three different objective functions motivated on a public health basis to obtain the optimal MDA interval. We also incorporate mosquito seasonality in our model to study its effect on the optimal treatment regime. We find that the effect of MDA interventions is temporary and depends on the pre-intervention disease prevalence (and choice of model parameters) as well as the number of MDA rounds under consideration. The optimal interval between MDA rounds also depends on the objective (combinations of expected intervention outcomes). We find radical cure alone may not be enough to lead to P. vivax elimination under our mathematical model (and choice of model parameters) since the prevalence of infection eventually returns to pre-MDA levels.

Indexed as

AntimalarialsMalariaMalaria, VivaxAnimalsHumansMass Drug AdministrationMathematical ConceptsModels, BiologicalRecurrenceAntimalarialsMass drug administrationMulti-scale modelP. vivax dynamicsRadical cureSuperinfection

Identifiers

PMID37076740
PMCPMC10115738
OpenAlexW4366450579

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.