Evidence map›Paper›PMID 31801548›Full record

ArticleMalaria journal2019

High Plasmodium falciparum genetic diversity and temporal stability despite control efforts in high transmission settings along the international border between Zambia and the Democratic Republic of the Congo.

Julia C Pringle, Amy Wesolowski, Sophie Berube, Tamaki Kobayashi, Mary E Gebhardt, Modest Mulenga, Mike Chaponda, Thierry Bobanga, Jonathan J Juliano, Steven Meshnick and 3 more

Abstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genomics reveals heterogeneousmedRxiv : the preprint server for health sciences · 2024
    Article
  6. Genetic polymorphism and evidence of signatures of selection in themedRxiv : the preprint server for health sciences · 2024
    Article
  7. Article
  8. Population structure and genetic connectivity ofFrontiers in epidemiology · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Genetic deletions and high diversity ofFrontiers in epidemiology · 2022
    Article
  14. Genetic surveillance for monitoring the impact of drug use on Plasmodium falciparum populations.International journal for parasitology. Drugs and drug resistance · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. 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

13 authors.

Julia C PringleW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA. jpringl3@jhu.edu.ORCID http://orcid.org/0000-0002-3359-4744
Amy WesolowskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Sophie BerubeDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Tamaki KobayashiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Mary E GebhardtW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Modest MulengaTropical Diseases Research Centre, Ndola, Zambia.
Mike ChapondaTropical Diseases Research Centre, Ndola, Zambia.
Thierry BobangaUniversité Protestante au Congo and University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Jonathan J JulianoDivision of Infectious Diseases, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA.
Steven MeshnickGillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA.
William J MossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Giovanna CarpiDepartment of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Douglas E NorrisW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA. douglas.norris@jhu.edu.

Funding

TransmissionU19AI089680 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WILLIAM J MOSS · 2010 to 2026
$25.6M
Training: Molecular & Cellular Bases of Infectious DiseasesT32AI007417 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Arturo Casadevall · 1994 to 2026
$11.9M
Disease Emergence and Elimination: Using Mobility Data to Inform Spatial Disease DynamicsDP2LM013102 · NLM · JOHNS HOPKINS UNIVERSITY · PI WESOLOWSKI, AMY · 2018 to 2018
$2.5M
National Institute of Allergy and Infectious Diseases 5U19AI089680NIAID NIH HHS T32 AI007417NIAID NIH HHS U19 AI089680NIH HHS 5T32AI007417NLM NIH HHS DP2 LM013102
6 · The paper itself

Abstract

backgroundWhile the utility of parasite genotyping for malaria elimination has been extensively documented in low to moderate transmission settings, it has been less well-characterized in holoendemic regions. High malaria burden settings have received renewed attention acknowledging their critical role in malaria elimination. Defining the role for parasite genomics in driving these high burden settings towards elimination will enhance future control programme planning.

methodsAmplicon deep sequencing was used to characterize parasite population genetic diversity at polymorphic Plasmodium falciparum loci, Pfama1 and Pfcsp, at two timepoints in June-July 2016 and January-March 2017 in a high transmission region along the international border between Luapula Province, Zambia and Haut-Katanga Province, the Democratic Republic of the Congo (DRC).

resultsHigh genetic diversity was observed across both seasons and in both countries. No evidence of population structure was observed between parasite populations on either side of the border, suggesting that this region may be one contiguous transmission zone. Despite a decline in parasite prevalence at the sampling locations in Haut-Katanga Province, no genetic signatures of a population bottleneck were detected, suggesting that larger declines in transmission may be required to reduce parasite genetic diversity. Analysing rare variants may be a suitable alternative approach for detecting epidemiologically important genetic signatures in highly diverse populations; however, the challenge is distinguishing true signals from potential artifacts introduced by small sample sizes.

conclusionsContinuing to explore and document the utility of various parasite genotyping approaches for understanding malaria transmission in holoendemic settings will be valuable to future control and elimination programmes, empowering evidence-based selection of tools and methods to address pertinent questions, thus enabling more efficient resource allocation.

Indexed as

Genetic VariationDemocratic Republic of the CongoMalaria, FalciparumPlasmodium falciparumSeasonsZambiaama1Amplicon deep sequencingBorderControlcspDiversityGeneticMalaria

Identifiers

PMID31801548
PMCPMC6894251

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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.