Evidence map›Paper›PMID 31534181›Full record

ArticleScientific reports2019

Long-distance transmission patterns modelled from SNP barcodes of Plasmodium falciparum infections in The Gambia.

Alfred Amambua-Ngwa, David Jeffries, Julia Mwesigwa, Aminata Seedy-Jawara, Joseph Okebe, Jane Achan, Chris Drakeley, Sarah Volkman, Umberto D'Alessandro

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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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

9 authors.

Alfred Amambua-NgwaMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia. angwa@mrc.gm.
David JeffriesMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
Julia MwesigwaMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
Aminata Seedy-JawaraMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
Joseph OkebeMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
Jane AchanMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
Chris DrakeleyLondon School of Hygiene and tropical Medicine, London, UK.ORCID http://orcid.org/0000-0003-4863-075X
Sarah VolkmanHarvard School of Public Health, Boston, Massachusetts, USA.
Umberto D'AlessandroMedical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.ORCID http://orcid.org/0000-0001-6341-5009

Funding

Medical Research Council MC_EX_MR/J002364/1Medical Research Council MC_EX_MR/K02440X/1Medical Research Council MC_UP_A900_1119
6 · The paper itself

Abstract

Malaria has declined significantly in The Gambia and determining transmission dynamics of Plasmodium falciparum can help targeting control interventions towards elimination. This can be inferred from genetic similarity between parasite isolates from different sites and timepoints. Here, we imposed a P. falciparum life cycle time on a genetic distance likelihood model to determine transmission paths from a 54 SNP barcode of 355 isolates. Samples were collected monthly during the 2013 malaria season from six pairs of villages spanning 300 km from western to eastern Gambia. There was spatial and temporal hierarchy in pairwise genetic relatedness, with the most similar barcodes from isolates within the same households and village. Constrained by travel data, the model detected 60 directional transmission events, with 27% paths linking persons from different regions. We identified 13 infected individuals (4.2% of those genotyped) responsible for 2 to 8 subsequent infections within their communities. These super-infectors were mostly from high transmission villages. When considering paths between isolates from the most distant regions (west vs east) and travel history, there were 3 transmission paths from eastern to western Gambia, all at the peak (October) of the malaria transmission season. No paths with known travel originated from the extreme west to east. Although more than half of all paths were within-village, parasite flow from east to west may contribute to maintain transmission in western Gambia, where malaria transmission is already low. Therefore, interrupting malaria transmission in western Gambia would require targeting eastern Gambia, where malaria prevalence is substantially higher, with intensified malaria interventions.

Indexed as

AnimalsDNA Barcoding, TaxonomicFemaleGambiaGenotypeHumansMalariaMalaria, FalciparumMaleParasitesPlasmodium falciparumPolymorphism, Single NucleotidePrevalenceSeasons

Identifiers

PMID31534181
PMCPMC6751170

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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.