Evidence map›Paper›PMID 40078574›Full record

ReviewFrontiers in epidemiology2025

Detecting imported malaria infections in endemic settings using molecular surveillance: current state and challenges.

Mahdi Safarpour, Luis Cabrera-Sosa, Dionicia Gamboa, Jean-Pierre Van Geertruyden, Christopher Delgado-Ratto

Abstract readReview
In one paragraph

Review in Frontiers in epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Imported malaria predominates in near-elimination settings in Southwestern Uganda.medRxiv : the preprint server for health sciences · 2026
    Article
  6. 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

5 authors.

Mahdi SafarpourMalaria Research Group (MaRch), Family Medicine and Population Health Department, Faculty of Medicine and Health Sciences, Global Health Institute, University of Antwerp, Antwerp, Belgium.
Luis Cabrera-SosaMalaria Research Group (MaRch), Family Medicine and Population Health Department, Faculty of Medicine and Health Sciences, Global Health Institute, University of Antwerp, Antwerp, Belgium.
Dionicia GamboaLaboratorio de Malaria: Parásitos y Vectores, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.
Jean-Pierre Van GeertruydenMalaria Research Group (MaRch), Family Medicine and Population Health Department, Faculty of Medicine and Health Sciences, Global Health Institute, University of Antwerp, Antwerp, Belgium.
Christopher Delgado-RattoMalaria Research Group (MaRch), Family Medicine and Population Health Department, Faculty of Medicine and Health Sciences, Global Health Institute, University of Antwerp, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Global Technical Strategy for Malaria 2016-2030 targets eliminating malaria from at least 35 countries and reducing case incidence by 90% globally. The importation of parasites due to human mobilization poses a significant obstacle to achieve malaria elimination as it can undermine the effectiveness of local interventions. Gaining a comprehensive understanding of parasite importation is essential to support control efforts and advance progress toward elimination. Parasite genetic data is widely used to investigate the spatial and temporal dynamics of imported infections. In this context, this systematic review aimed to aggregate evidence on the application of parasite genetic data for mapping imported malaria and the analytical methods used to analyze it. We discuss the advantages and limitations of the genetic approaches employed and propose a suitable type of genetic data along with an analytical framework to discriminate imported malaria infections from local infections. The findings offer potential actionable insights for national control programs, enabling them select the most effective methods for detecting imported cases. This also may aid in the evaluation and refinement of elimination programs by identifying high-risk areas and enabling the targeted allocation of resources to these regions.

Indexed as

genomic surveillancemalaria eliminationmetapopulationpopulation geneticstravel-acquired malaria

Identifiers

PMID40078574
PMCPMC11897264

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.