Evidence map›Paper›PMID 40303014›Full record

ReviewTransboundary and emerging diseases2024

Analytic Approaches in Genomic Epidemiological Studies of Parasitic Protozoa.

Tianpeng Wang, Ziding Zhang, Yaoyu Feng, Lihua Xiao

Abstract readReview
In one paragraph

Review in Transboundary and emerging diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Next-generation molecular tools in veterinary parasitology: advances, challenges, and perspectives in the diagnosis of emerging parasites.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2026
    Review
  2. The transformation of aFood and waterborne parasitology · 2025
    Review
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

4 authors.

Tianpeng WangState Key Laboratory for Animal Disease Control and Prevention South China Agricultural University Guangzhou 510642China.ORCID https://orcid.org/0000-0002-7337-5191
Ziding ZhangState Key Laboratory of Animal Biotech Breeding College of Biological Sciences China Agricultural University Beijing 100193China.ORCID https://orcid.org/0000-0002-9296-571X
Yaoyu FengState Key Laboratory for Animal Disease Control and Prevention South China Agricultural University Guangzhou 510642China.ORCID https://orcid.org/0000-0002-8380-1246
Lihua XiaoState Key Laboratory for Animal Disease Control and Prevention South China Agricultural University Guangzhou 510642China.ORCID https://orcid.org/0000-0001-8532-2727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole genome sequencing (WGS) plays an important role in the advanced characterization of pathogen transmission and is widely used in studies of major bacterial and viral diseases. Although protozoan parasites cause serious diseases in humans and animals, WGS data on them are relatively scarce due to the large genomes and lack of cultivation techniques for some. In this review, we have illustrated bioinformatic analyses of WGS data and their applications in studies of the genomic epidemiology of apicomplexan parasites. WGS has been used in outbreak detection and investigation, studies of pathogen transmission and evolution, and drug resistance surveillance and tracking. However, comparative analysis of parasite WGS data is still in its infancy, and available WGS data are mainly from a few genera of major public health importance, such as

Indexed as

ApicomplexaGenome, ProtozoanGenomicsProtozoan InfectionsProtozoan Infections, AnimalWhole Genome SequencingAnimalsHumans

Identifiers

PMID40303014
PMCPMC12017464

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.