Evidence map›Paper›PMID 28068925›Full record

ArticleBMC infectious diseases2017

Effectiveness of a serological tool to predict malaria transmission intensity in an elimination setting.

Rajika Lasanthi Dewasurendra, Janaka Nandana Dias, Nuno Sepulveda, Geethika Sharmini Abayaweera Gunawardena, Naduviladath Chandrasekharan, Chris Drakeley, Nadira Dharshani Karunaweera

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Serology reveals comparable patterns in the transmission intensities ofFrontiers in cellular and infection microbiology · 2025
    Article
  3. Using Serological Markers for the Surveillance ofPathogens (Basel, Switzerland) · 2023
    Article
  4. Serological surveillance on potentialFrontiers in cellular and infection microbiology · 2023
    Article
  5. Article
  6. Review
  7. Antibody Profiles toThe American journal of tropical medicine and hygiene · 2020
    Article
  8. Seroprevalence and Parasite Rates ofThe American journal of tropical medicine and hygiene · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

7 authors.

Rajika Lasanthi DewasurendraDepartment of Parasitology, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo, 8, Sri Lanka.
Janaka Nandana DiasMOH Holdings Pte Ltd. 1, Maritime Square, 11-25, Harbour-Front Centre, Singapore, Singapore, 099253.
Nuno SepulvedaFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Geethika Sharmini Abayaweera GunawardenaDepartment of Parasitology, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo, 8, Sri Lanka.
Naduviladath ChandrasekharanDepartment of Chemistry, Faculty of Science, University of Colombo, Colombo, 03, Sri Lanka.
Chris DrakeleyFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Nadira Dharshani KarunaweeraDepartment of Parasitology, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo, 8, Sri Lanka. nadira@parasit.cmb.ac.lk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSri Lanka achieved the WHO certificate as a malaria free country in September 2016, thus monitoring of malaria transmission using sensitive and effective tools is an important need. Use of age-specific antibody prevalence as a serological tool to predict transmission intensity is proven to be a cost effective and reliable method under elimination settings. This paper discusses the correlation of four anti-malarial antibodies against vivax and falciparum malaria with the declining transmission intensities in two previously high malaria endemic districts i.e. Kurunegala and Moneragala of Sri Lanka.

methodsSera was collected from 1,186 individuals from the two districts and were subjected to standard ELISA together with control sera from non-immune individuals to obtain Optical Density (OD) values for four anti-malarial antibodies i.e. anti-MSP1 and anti-AMA1 for both Plasmodium vivax and Plasmodium falciparum. The sero-positive samples were determined as mean OD + 3SD of the negative controls. The sero-prevalence was analyzed against the demographic characteristics of the population. A simple reversible catalytic model was fitted into sero-prevalence data to predict the sero-conversion and sero-reversion rates.

resultsOver 60% of the population was sero-positive for one or more antibodies except young children (<10 years). The sero-prevalence was zero in young children and very low in young adults when compared to the older age groups. The model developed for falciparum malaria that assumed the presence of a change in transmission was not significant in the Kurunegala district although significant reduction in transmission was observed when the model was used for P. vivax antibody data in that district. In Moneragala district however, all the serological markers indicated a change in transmission that has occurred approximately 15 years ago.

conclusionsAssessment of MSP1 and AMA1 anti-malarial antibodies of P. vivax and P. falciparum proved to be useful indicators in predicting transmission under elimination settings as prevailed in Sri Lanka. The sero-conversion rates for the two districts studied are shown to be very low or zero indicating the absence of active and/or hidden transmission confirming a "true" state of elimination at least, in the two study districts in Sri Lanka.

Indexed as

AdolescentAdultAgedAged, 80 and overAntibodies, ProtozoanCase-Control StudiesChildChild, PreschoolCost-Benefit AnalysisEnzyme-Linked Immunosorbent AssayFemaleHumansInfantMalaria, FalciparumMalaria, VivaxMaleAntibodies, ProtozoanAnti-malarial antibodiesELISAReversible catalytic modelSero-positivitySri Lanka

Identifiers

PMID28068925
PMCPMC5223541

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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.