Evidence map›Paper›PMID 26846726›Full record

ArticleScientific reports2016

Antibody acquisition models: A new tool for serological surveillance of malaria transmission intensity.

Victor Yman, Michael T White, Josea Rono, Bruno Arcà, Faith H Osier, Marita Troye-Blomberg, Stéphanie Boström, Raffaele Ronca, Ingegerd Rooth, Anna Färnert

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05086887 (Infections in Migrants in Sweden - the Importance of Malaria and Other Parasitic Infections), which is not on this map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% 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.

NCT05086887 unknown statusnot on this mapstarted 2019, after this paper: background citation

Infections in Migrants in Sweden - the Importance of Malaria and Other Parasitic Infections

Typeobservational_patient_registrySponsorRegion StockholmRan2019 to 2023Enrolled715ConditionsMalaria, Parasitic InfectionArmsMalaria diagnostic tests (RDT and PCR) and serology for malaria and other parasitic diseases
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. eLife · 2021
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Serology reveals comparable patterns in the transmission intensities ofFrontiers in cellular and infection microbiology · 2025
    Article
  12. Review
  13. Article
  14. Naturally acquired IgG responses toFrontiers in immunology · 2024
    Article
  15. Article
  16. Article
  17. Monitoring transmission intensity of trachoma with serology.medRxiv : the preprint server for health sciences · 2023
    Article
  18. Article
  19. Article
  20. 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

10 authors at 7 institutions in 5 countries.

Victor YmanUnit of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Michael T WhiteMRC Centre for Outbreak Analysis &Modelling, Department of Infectious Disease Epidemiology, Imperial College, London, United Kingdom.
Josea RonoUnit of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Bruno ArcàDepartment of Public Health and Infectious Diseases, Parasitology Section, Sapienza University of Rome, Italy.
Faith H OsierKEMRI-Wellcome Trust Research Programme, Centre for Geographical Medicine Research-Coast, Kilifi, Kenya.
Marita Troye-BlombergDepartment of Molecular Biosciences, the Wenner-Gren Institute, Stockholm University, Sweden.
Stéphanie BoströmDepartment of Molecular Biosciences, the Wenner-Gren Institute, Stockholm University, Sweden.
Raffaele RoncaDepartment of Biology, Federico II University, Naples, Italy.
Ingegerd RoothNyamisati Malaria Research Unit, Rufiji, Tanzania.
Anna FärnertUnit of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEStockholm University · SEAfrican Malaria Network Trust · TZFederico II University Hospital · ITImperial College London · GBKenya Medical Research Institute · KESapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serology has become an increasingly important tool for the surveillance of a wide range of infectious diseases. It has been particularly useful to monitor malaria transmission in elimination settings where existing metrics such as parasite prevalence and incidence of clinical cases are less sensitive. Seroconversion rates, based on antibody prevalence to Plasmodium falciparum asexual blood-stage antigens, provide estimates of transmission intensity that correlate with entomological inoculation rates but lack precision in settings where seroprevalence is still high. Here we present a new and widely applicable method, based on cross-sectional data on individual antibody levels. We evaluate its use as a sero-surveillance tool in a Tanzanian setting with declining malaria prevalence. We find that the newly developed mathematical models produce more precise estimates of transmission patterns, are robust in high transmission settings and when sample sizes are small, and provide a powerful tool for serological evaluation of malaria transmission intensity.

Indexed as

AdolescentAntibodies, ProtozoanAntigens, ProtozoanChildChild, PreschoolCross-Sectional StudiesHumansIncidenceInfantMalaria, FalciparumPlasmodium falciparumPopulation SurveillancePrevalenceSeroepidemiologic StudiesTanzaniaAntibodies, ProtozoanAntigens, Protozoan

Identifiers

PMID26846726
PMCPMC4984902
OpenAlexW2471064816

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.