Evidence map›Paper›PMID 29304809›Full record

ArticleMalaria journal2018

Estimation on local transmission of malaria by serological approach under low transmission setting in Myanmar.

Myat Htut Nyunt, Than Naing Soe, Thinzar Shein, Ni Ni Zaw, Soe Soe Han, Fauzi Muh, Seong-Kyun Lee, Jin-Hee Han, Ji-Hoon Park, Kwon-Soo Ha and 4 more

Abstract readEvaluation Study
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Using Serological Markers for the Surveillance ofPathogens (Basel, Switzerland) · 2023
    Article
  3. Article
  4. Article
  5. 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

14 authors.

Myat Htut NyuntDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Than Naing SoeDepartment of Public Health, Nay Pyi Taw, Myanmar.
Thinzar SheinDepartment of Medical Research, Yangon, Myanmar.
Ni Ni ZawDepartment of Medical Research, Yangon, Myanmar.
Soe Soe HanDepartment of Medical Research, Yangon, Myanmar.
Fauzi MuhDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Seong-Kyun LeeDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Jin-Hee HanDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Ji-Hoon ParkDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Kwon-Soo HaDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Won Sun ParkDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Seok-Ho HongDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Myat Phone KyawDepartment of Medical Research, Yangon, Myanmar.
Eun-Taek HanDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea. etaekhan@gmail.com.

Funding

National Research Foundation of Korea (KR) 2015R1A4A1038666National Research Foundation of Korea (KR) NRF-2014R1A2A1A11052079
6 · The paper itself

Abstract

backgroundAs the prevalence of the malaria has been decreasing in many endemic countries including Myanmar, malaria elimination in Greater Mekong Region was targeted not later than 2030. The relevance of molecular and serological tools to identify residual transmission remains to be established in this setting.

methodsOne-year cohort study was conducted and sera samples were collected in every 3 months with active and passive case detection for clinical malaria episodes by RDT, microscopy and molecular method. The sera were used to detect the malaria antibody against PfMSP1-19, PvAMA1, PvDBPII and PvMSP1-19 by protein microarray.

resultsAmong the recruited 1182 participants, there was no RDT positive case for malaria infection although two vivax infections were detected by microscopy in initial collection. Molecular methods detected the asymptomatic cases of 28/1182 (2.37%) in first, 5/894 (0.42%) in second, 12/944 (1.02%) in third, 6/889 (0.51%) in fourth collection, respectively. Seropositivity rates against the PfMSP1-19, PvMSP1-19, PvAMA1 and PvDBPII were 73/270 (27.0%), 85/270 (31.5%), 65/270 (24.1%) and 160/270 (59.3%), respectively. PfMSP1-19 and PvMSP1-19 showed high and stable antigenicity in acute and subacute samples but declining in 1-year history samples. No cross reactivity of PfMSP1-19 and PvMSP1-19 between the two species and higher seropositivity among the asymptomatic carriers were observed. Mapping data indicated serological surveillance can detect the geographical pattern of malaria infection under low transmission setting.

conclusionsThese findings support that PfMSP1-19 and PvMSP1-19 are suggested for serosurveillance of the malaria especially in low transmission setting for further necessary actions have to be carried out to eliminate the malaria.

Indexed as

Disease Transmission, InfectiousAdolescentAdultAntibodies, ProtozoanCarrier StateChromatography, AffinityCohort StudiesEpidemiological MonitoringFemaleFollow-Up StudiesHumansLongitudinal StudiesMalariaMaleMicroarray AnalysisMicroscopyAntibodies, ProtozoanAsymptomatic casesMalariaMyanmarSerological surveillance

Identifiers

PMID29304809
PMCPMC5755288

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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.