Evidence map›Paper›PMID 23758989›Full record

ArticleMalaria journal2013

Population genetics analysis during the elimination process of Plasmodium falciparum in Djibouti.

Bouh Abdi Khaireh, Ashenafi Assefa, Hawa Hassan Guessod, Leonardo K Basco, Mohamed Abdi Khaireh, Aurélie Pascual, Sébastien Briolant, Samatar Mohamed Bouh, Ismaïl Hassan Farah, Habib Moussa Ali and 9 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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.

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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  10. High genetic complexity but low relatedness inPathogens and global health · 2022
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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

19 authors at 7 institutions in 4 countries.

Bouh Abdi KhairehUnité de Parasitologie, Département d'Infectiologie de Terrain, Institut de Recherche Biomédicale des Armées, Allée du Médecin Colonel E, Jamot, Parc du Pharo, BP 60109, 13262 Marseille Cedex 07, France.
Ashenafi Assefa
Hawa Hassan Guessod
Leonardo K Basco
Mohamed Abdi Khaireh
Aurélie Pascual
Sébastien Briolant
Samatar Mohamed Bouh
Ismaïl Hassan Farah
Habib Moussa Ali
Abdoul-Ilah Ahmed Abdi
Mouna Osman Aden
Zamzam Abdillahi
Souleiman Nour Ayeh
Houssein Youssouf Darar
Jean-Louis Koeck
Christophe Rogier
Bruno Pradines
Hervé Bogreau
University of Djibouti · DJInserm · FRInstitut de Médecine Tropicale du Service de Santé des Armées · FRInstitut de Recherche pour le Développement · FRAix-Marseille Université · FREthiopian Public Health Institute · ETUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCase management of imported malaria within the context of malaria pre-elimination is increasingly considered to be relevant because of the risk of resurgence. The assessment of malaria importation would provide key data i) to select countries with propitious conditions for pre-elimination phase and ii) to predict its feasibility. Recently, a sero-prevalence study in Djibouti indicated low malaria prevalence, which is propitious for the implementation of pre-elimination, but data on the extent of malaria importation remain unknown.

methodsDjiboutian plasmodial populations were analysed over an eleven-year period (1998, 1999, 2002 and 2009). The risk of malaria importation was indirectly assessed by using plasmodial population parameters. Based on 5 microsatellite markers, expected heterozygosity (H.e.), multiplicity of infection, pairwise Fst index, multiple correspondence analysis and individual genetic relationship were determined. The prevalence of single nucleotide polymorphisms associated with pyrimethamine resistance was also determined.

resultsData indicated a significant decline in genetic diversity (0.51, 0.59, 0.51 and 0 in 1998, 1999, 2002 and 2009, respectively) over the study period, which is inconsistent with the level of malaria importation described in a previous study. This suggested that Djiboutian malaria situation may have benefited from the decline of malaria prevalence that occurred in neighbouring countries, in particular in Ethiopia. The high Fst indices derived from plasmodial populations from one study period to another (0.12 between 1999 and 2002, and 0.43 between 2002 and 2009) suggested a random sampling of parasites, probably imported from neighbouring countries, leading to oligo-clonal expansion of few different strains during each transmission season. Nevertheless, similar genotypes observed during the study period suggested recurrent migrations and imported malaria.

conclusionIn the present study, the extent of genetic diversity was used to assess the risk of malaria importation in the low malaria transmission setting of Djibouti. The molecular approach highlights i) the evolution of Djiboutian plasmodial population profiles that are consistent and compatible with Djiboutian pre-elimination goals and ii) the necessity to implement the monitoring of plasmodial populations and interventions at the regional scale in the Horn of Africa to ensure higher efficiency of malaria control and elimination.

Indexed as

Disease EradicationGenetic VariationAntimalarialsDjiboutiDNA, ProtozoanDrug ResistanceGenotypeHumansMalaria, FalciparumMicrosatellite RepeatsMolecular EpidemiologyPlasmodium falciparumPyrimethamineAntimalarialsDNA, ProtozoanPyrimethamine

Identifiers

PMID23758989
PMCPMC3685531
OpenAlexW2159078594

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.