Evidence map›Paper›PMID 31477139›Full record

ReviewMalaria journal2019

Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa.

Sofonias K Tessema, Jaishree Raman, Craig W Duffy, Deus S Ishengoma, Alfred Amambua-Ngwa, Bryan Greenhouse

Abstract readReview
In one paragraph

Review in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Plasmodium falciparum genetic diversity and multiplicity of infection in northern and southern Ghana assessed by amplicon sequencing.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2025
    Article
  8. Article
  9. Article
  10. Sensitive and modular amplicon sequencing ofbioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. BMJ open · 2024
    Observational
  16. Review
  17. 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

6 authors.

Sofonias K TessemaEPPIcenter Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA. sofoniaskifle@gmail.com.ORCID http://orcid.org/0000-0003-1057-5310
Jaishree RamanCentre for Emerging Zoonotic and Parasitic Diseases, National Institute for Communicable Disease, Sandringham, Gauteng, South Africa.
Craig W DuffyDepartment of Infection Biology, University of Liverpool, Liverpool, UK.
Deus S IshengomaNational Institute for Medical Research, Tanga Research Centre, Tanga, Tanzania.
Alfred Amambua-NgwaMRC Gambia Unit, The Gambia at LSHTM, Fajara, The Gambia.
Bryan GreenhouseEPPIcenter Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.

Funding

Mentoring translational scientists in international infectious disease researchK24AI144048 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bryan R Greenhouse · 2019 to 2026
$1.6M
DELTAS Africa Initiative 107740/Z/15/ZMedical Research Council MC_EX_MR/K02440X/1NIAID NIH HHS K24 AI144048
6 · The paper itself

Abstract

Next-generation sequencing (NGS) technologies are increasingly being used to address a diverse range of biological and epidemiological questions. The current understanding of malaria transmission dynamics and parasite movement mainly relies on the analyses of epidemiologic data, e.g. case counts and self-reported travel history data. However, travel history data are often not routinely collected or are incomplete, lacking the necessary level of accuracy. Although genetic data from routinely collected field samples provides an unprecedented opportunity to track the spread of malaria parasites, it remains an underutilized resource for surveillance due to lack of local awareness and capacity, limited access to sensitive laboratory methods and associated computational tools and difficulty in interpreting genetic epidemiology data. In this review, the potential roles of NGS in better understanding of transmission patterns, accurately tracking parasite movement and addressing the emerging challenges of imported malaria in low transmission settings of sub-Saharan Africa are discussed. Furthermore, this review highlights the insights gained from malaria genomic research and challenges associated with integrating malaria genomics into existing surveillance tools to inform control and elimination strategies.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingAfrica South of the SaharaEpidemiological MonitoringHumansIncidenceMalaria, FalciparumPlasmodium falciparumPopulation SurveillanceProtozoan ProteinsProtozoan ProteinsMalaria genomicsMolecular epidemiologyNext-generation sequencingTracking parasites

Identifiers

PMID31477139
PMCPMC6720407

What OpenQuestion holds

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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.