Evidence map›Paper›PMID 29665803›Full record

ArticleMalaria journal2018

Plasmodium vivax and Plasmodium falciparum infection dynamics: re-infections, recrudescences and relapses.

Michael T White, Stephan Karl, Cristian Koepfli, Rhea J Longley, Natalie E Hofmann, Rahel Wampfler, Ingrid Felger, Tom Smith, Wang Nguitragool, Jetsumon Sattabongkot and 3 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.7field-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

31 citing papers in PubMed, 51 citations in OpenAlex.

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  19. Malaria Risk Drivers in the Brazilian Amazon: Land Use-Land Cover Interactions and Biological Diversity.International journal of environmental research and public health · 2023
    Article
  20. Genetic diversity ofLancet regional health. Americas · 2023
    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

13 authors at 7 institutions in 6 countries.

Michael T WhiteMRC Centre for Outbreak Analysis & Modelling, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London, W2 1PG, UK. michael.white@pasteur.fr.
Stephan KarlDivision of Population Health & Immunity, Walter and Eliza Hall Institute, 1G Royal Parade, Melbourne, VIC, 3052, Australia.
Cristian KoepfliDivision of Population Health & Immunity, Walter and Eliza Hall Institute, 1G Royal Parade, Melbourne, VIC, 3052, Australia.
Rhea J LongleyDivision of Population Health & Immunity, Walter and Eliza Hall Institute, 1G Royal Parade, Melbourne, VIC, 3052, Australia.
Natalie E HofmannSwiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland.
Rahel WampflerSwiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland.
Ingrid FelgerSwiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland.
Tom SmithSwiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland.
Wang NguitragoolDepartment of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Bangkok, 73170, Thailand.
Jetsumon SattabongkotMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Bangkok, 73170, Thailand.
Leanne RobinsonDepartment of Parasites and Insect Vectors, Institut Pasteur, 25-28 Rue du Dr Roux, 75015, Paris, France.
Azra GhaniMRC Centre for Outbreak Analysis & Modelling, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London, W2 1PG, UK.
Ivo MuellerDivision of Population Health & Immunity, Walter and Eliza Hall Institute, 1G Royal Parade, Melbourne, VIC, 3052, Australia.
University of Basel · CHWalter and Eliza Hall Institute of Medical Research · AUImperial College London · GBInstitut Pasteur · FRMahidol Oxford Tropical Medicine Research Unit · THMahidol University · THUniversity of Melbourne · AU

Funding

TransmissionU19AI089686 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI KAZURA, JAMES WALTER · 2010 to 2016
$9.9M
Understanding, tracking and eliminating malaria transmission in the Asia - Pacific RegionU19AI129392 · NIAID · WALTER AND ELIZA HALL INST MEDICAL RES · PI Ivo J Mueller · 2017 to 2026
$7.1M
Medical Research Council MR/L012170/1Medical Research Council MR/R015600/1NIAID NIH HHS U19 AI089686NIAID NIH HHS U19 AI129392
6 · The paper itself

Abstract

backgroundIn malaria endemic populations, complex patterns of Plasmodium vivax and Plasmodium falciparum blood-stage infection dynamics may be observed. Genotyping samples from longitudinal cohort studies for merozoite surface protein (msp) variants increases the information available in the data, allowing multiple infecting parasite clones in a single individual to be identified. msp genotyped samples from two longitudinal cohorts in Papua New Guinea (PNG) and Thailand were analysed using a statistical model where the times of acquisition and clearance of each clone in every individual were estimated using a process of data augmentation.

resultsFor the populations analysed, the duration of blood-stage P. falciparum infection was estimated as 36 (95% Credible Interval (CrI): 29, 44) days in PNG, and 135 (95% CrI 94, 191) days in Thailand. Experiments on simulated data indicated that it was not possible to accurately estimate the duration of blood-stage P. vivax infections due to the lack of identifiability between a single blood-stage infection and multiple, sequential blood-stage infections caused by relapses. Despite this limitation, the method and data point towards short duration of blood-stage P. vivax infection with a lower bound of 24 days in PNG, and 29 days in Thailand. On an individual level, P. vivax recurrences cannot be definitively classified into re-infections, recrudescences or relapses, but a probabilistic relapse phenotype can be assigned to each P. vivax sample, allowing investigation of the association between epidemiological covariates and the incidence of relapses.

conclusionThe statistical model developed here provides a useful new tool for in-depth analysis of malaria data from longitudinal cohort studies, and future application to data sets with multi-locus genotyping will allow more detailed investigation of infection dynamics.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleGenotypeHumansIncidenceInfantLongitudinal StudiesMalaria, FalciparumMalaria, VivaxMaleMiddle AgedGenotypePlasmodium falciparumPlasmodium vivaxRelapseStatistical model

Identifiers

PMID29665803
PMCPMC5905131
OpenAlexW2803920547

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.