Evidence map›Paper›PMID 34044836›Full record

ArticleBMC medicine2021

Community-based molecular and serological surveillance of subclinical malaria in Myanmar.

Katherine O'Flaherty, Win Han Oo, Sophie G Zaloumis, Julia C Cutts, Kyaw Zayar Aung, Myat Mon Thein, Damien R Drew, Zahra Razook, Alyssa E Barry, Naanki Parischa and 9 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Geospatial joint modeling of vector and parasite serology to microstratify malaria transmission.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Using Serological Markers for the Surveillance ofPathogens (Basel, Switzerland) · 2023
    Article
  7. Article
  8. Review
  9. Article
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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

19 authors at 5 institutions in 2 countries.

Katherine O'FlahertyBurnet Institute for Medical Research and Public Health, Melbourne, Australia.
Win Han OoBurnet Institute Myanmar, Yangon, Myanmar.
Sophie G ZaloumisCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Julia C CuttsBurnet Institute for Medical Research and Public Health, Melbourne, Australia.
Kyaw Zayar AungBurnet Institute Myanmar, Yangon, Myanmar.
Myat Mon TheinBurnet Institute Myanmar, Yangon, Myanmar.
Damien R DrewBurnet Institute for Medical Research and Public Health, Melbourne, Australia.
Zahra RazookSchool of Medicine, Deakin University, Geelong, Australia.
Alyssa E BarryBurnet Institute for Medical Research and Public Health, Melbourne, Australia.
Naanki ParischaBurnet Institute for Medical Research and Public Health, Melbourne, Australia.
Nyi Nyi ZawBurnet Institute Myanmar, Yangon, Myanmar.
Htin Kyaw ThuBurnet Institute Myanmar, Yangon, Myanmar.
Aung ThiDepartment of Public Health, Myanmar Ministry of Health, Nay Pyi Taw, Myanmar.
Wai Yan Min HtayBurnet Institute Myanmar, Yangon, Myanmar.
Aung Paing SoeBurnet Institute Myanmar, Yangon, Myanmar.
Julie A SimpsonCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
James G BeesonBurnet Institute for Medical Research and Public Health, Melbourne, Australia.
Paul A AgiusBurnet Institute for Medical Research and Public Health, Melbourne, Australia.
Freya J I FowkesBurnet Institute for Medical Research and Public Health, Melbourne, Australia. freya.fowkes@burnet.edu.au.
Burnet Institute · AUMonash University · AUUniversity of Melbourne · AUDeakin University · AUMinistry of Health · MM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the Greater Mekong Subregion (GMS), current malaria surveillance strategies rely on a network of village health volunteers (VHVs) reporting the results of rapid diagnostic tests (RDTs), known to miss many asymptomatic infections. Integration of more sensitive diagnostic molecular and serological measures into the VHV network may improve surveillance of residual malaria transmission in hard-to-reach areas in the region and inform targeted interventions and elimination responses. However, data on residual malaria transmission that would be captured by these measures in the VHV-led testing and treatment surveillance network in the GMS is unknown.

methodsA total of 114 VHVs were trained to collect dried blood spots from villagers undergoing routine RDTs as part of VHV-led active and passive case detection from April 2015 to June 2016. Samples were subjected to molecular testing (quantitative polymerase chain reaction [qPCR]) to determine Plasmodium falciparum and P. vivax infection and serological testing (against P. falciparum and P. vivax antigens) to determine exposure to P. falciparum and P. vivax.

resultsOver 15 months, 114 VHVs performed 32,194 RDTs and collected samples for molecular (n = 13,157) and serological (n = 14,128) testing. The prevalence of molecular-detectable P. falciparum and P. vivax infection was 3.2% compared to the 0.16% prevalence of Plasmodium spp. by RDT, highlighting the large burden of infections undetected by standard surveillance. Peaks in anti-P. falciparum, but not P. vivax, merozoite IgG seroprevalence coincided with seasonal P. falciparum transmission peaks, even in those with no molecularly detectable parasites. At the individual level, antibody seropositivity was associated with reduced odds of contemporaneous P. falciparum (OR for PfCSP 0.51 [95%CI 0.35, 0.76], p = 0.001, PfAMA1 0.70 [95%CI 0.52, 0.93], p = 0.01, and PfMSP2 0.81 [95%CI 0.61, 1.08], p = 0.15), but not P. vivax infection (OR PvAMA1 1.02 [95%CI 0.73, 1.43], p = 0.89) indicating a potential role of immunity in protection against molecular-detectable P. falciparum parasitaemia.

conclusionsWe demonstrated that integration and implementation of sample collection for molecular and serological surveillance into networks of VHV servicing hard-to-reach populations in the GMS is feasible, can capture significant levels of ongoing undetected seasonal malaria transmission and has the potential to supplement current routine RDT testing. Improving malaria surveillance by advancing the integration of molecular and serological techniques, through centralised testing approaches or novel point-of-contact tests, will advance progress, and tracking, towards malaria elimination goals in the GMS.

Indexed as

MalariaMalaria, FalciparumMalaria, VivaxCross-Sectional StudiesHumansMyanmarPlasmodium falciparumPlasmodium vivaxPrevalenceSeroepidemiologic StudiesEpidemiologyImmunityMalariaPlasmodiumSerosurveillanceSurveillance

Identifiers

PMID34044836
PMCPMC8161608
OpenAlexW3164075738

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LicenceCC BY
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Registered trials

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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.