Evidence map›Paper›PMID 38483975›Full record

ArticlePLoS computational biology2024

Mathematical models of Plasmodium vivax transmission: A scoping review.

Md Nurul Anwar, Lauren Smith, Angela Devine, Somya Mehra, Camelia R Walker, Elizabeth Ivory, Eamon Conway, Ivo Mueller, James M McCaw, Jennifer A Flegg and 1 more

Open access · goldAbstract readScoping Review
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Integrating parallelCommunications health · 2026
    Article
  3. Article
  4. Article
  5. Review
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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

11 authors at 3 institutions in 2 countries.

Md Nurul AnwarSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-8302-1266
Lauren SmithThe Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.ORCID 0000-0002-2966-3559
Angela DevineDivision of Global and Tropical Health, Menzies School of Health Research, Charles Darwin University, Darwin, Australia.ORCID 0000-0002-3321-8706
Somya MehraSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.
Camelia R WalkerSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.ORCID 0000-0003-1470-858X
Elizabeth IvorySchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.ORCID 0009-0004-3885-2230
Eamon ConwayThe Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.
Ivo MuellerThe Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.
James M McCawSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.
Jennifer A FleggSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-8809-726X
Roslyn I HicksonSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.
The University of Melbourne · AUCommonwealth Scientific and Industrial Research Organisation · AUGopalganj Science and Technology University · BD

Funding

Australian Centre of Research Excellence in Malaria Elimination (ACREME)Australian Research CouncilDepartment of Foreign Affairs and Trade AustraliaNational Health and Medical Research Council (NHMRC)Strengthening Preparedness in the Asia-Pacific Region through Knowledge
6 · The paper itself

Abstract

Plasmodium vivax is one of the most geographically widespread malaria parasites in the world, primarily found across South-East Asia, Latin America, and parts of Africa. One of the significant characteristics of the P. vivax parasite is its ability to remain dormant in the human liver as hypnozoites and subsequently reactivate after the initial infection (i.e. relapse infections). Mathematical modelling approaches have been widely applied to understand P. vivax dynamics and predict the impact of intervention outcomes. Models that capture P. vivax dynamics differ from those that capture P. falciparum dynamics, as they must account for relapses caused by the activation of hypnozoites. In this article, we provide a scoping review of mathematical models that capture P. vivax transmission dynamics published between January 1988 and May 2023. The primary objective of this work is to provide a comprehensive summary of the mathematical models and techniques used to model P. vivax dynamics. In doing so, we aim to assist researchers working on mathematical epidemiology, disease transmission, and other aspects of P. vivax malaria by highlighting best practices in currently published models and highlighting where further model development is required. We categorise P. vivax models according to whether a deterministic or agent-based approach was used. We provide an overview of the different strategies used to incorporate the parasite's biology, use of multiple scales (within-host and population-level), superinfection, immunity, and treatment interventions. In most of the published literature, the rationale for different modelling approaches was driven by the research question at hand. Some models focus on the parasites' complicated biology, while others incorporate simplified assumptions to avoid model complexity. Overall, the existing literature on mathematical models for P. vivax encompasses various aspects of the parasite's dynamics. We recommend that future research should focus on refining how key aspects of P. vivax dynamics are modelled, including spatial heterogeneity in exposure risk and heterogeneity in susceptibility to infection, the accumulation of hypnozoite variation, the interaction between P. falciparum and P. vivax, acquisition of immunity, and recovery under superinfection.

Indexed as

MalariaMalaria, FalciparumMalaria, VivaxParasitesSuperinfectionAnimalsHumansModels, TheoreticalPlasmodium vivaxRecurrence

Identifiers

PMID38483975
PMCPMC10965096
OpenAlexW4392818829

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.