Evidence map›Paper›PMID 39072035›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Genetic surveillance reveals low, sustained malaria transmission with clonal replacement in Sao Tome and Principe.

Ying-An Chen, Peng-Yin Ng, Daniel Garcia, Aaron Elliot, Brian Palmer, Ronalg Mendes Costa d' Assunção Carvalho, Lien-Fen Tseng, Cheng-Sheng Lee, Kun-Hsien Tsai, Bryan Greenhouse and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Ying-An ChenEPPIcenter Research Program, Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, United States.ORCID 0000-0002-7936-1313
Peng-Yin NgInstitute of Bioinformatics and Structural Biology, College of Life Sciences and Medicine, National Tsing Hua University, Hsinchu, Taiwan.
Daniel GarciaInstitute of Bioinformatics and Structural Biology, College of Life Sciences and Medicine, National Tsing Hua University, Hsinchu, Taiwan.
Aaron ElliotEPPIcenter Research Program, Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, United States.
Brian PalmerEPPIcenter Research Program, Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, United States.
Ronalg Mendes Costa d' Assunção CarvalhoTaiwanese Medical Mission, São Tomé, Democratic Republic of São Tomé and Príncipe.
Lien-Fen TsengTaiwan Anti-Malarial Advisory Mission, São Tomé, Democratic Republic of São Tomé and Príncipe.
Cheng-Sheng LeeInstitute of Molecular and Cellular Biology, College of Life Sciences and Medicine, National Tsing Hua University, Hsinchu, Taiwan.
Kun-Hsien TsaiTaiwan Anti-Malarial Advisory Mission, São Tomé, Democratic Republic of São Tomé and Príncipe.
Bryan GreenhouseEPPIcenter Research Program, Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, United States.
Hsiao-Han ChangInstitute of Bioinformatics and Structural Biology, College of Life Sciences and Medicine, National Tsing Hua University, Hsinchu, Taiwan.

Funding

Mentoring translational scientists in international infectious disease researchK24AI144048 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bryan R Greenhouse · 2019 to 2026
$1.6M
Translational Studies of Plasmodium Falciparum Infection DynamicsK23AI076614 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GREENHOUSE, BRYAN R · 2008 to 2012
$609k
NIAID NIH HHS K23 AI076614NIAID NIH HHS K24 AI144048
6 · The paper itself

Abstract

Despite efforts to eliminate malaria in Sao Tome and Principe (STP), cases have recently increased. Understanding residual transmission structure is crucial for developing effective elimination strategies. This study collected surveillance data and generated amplicon sequencing data from 980 samples between 2010 and 2016 to examine the genetic structure of the parasite population. The mean multiplicity of infection (MOI) was 1.3, with 11% polyclonal infections, indicating low transmission intensity. Temporal trends of these genetic metrics did not align with incidence rates, suggesting that changes in genetic metrics may not straightforwardly reflect changes in transmission intensity, particularly in low transmission settings where genetic drift and importation have a substantial impact. While 88% of samples were genetically linked, continuous turnover in genetic clusters and changes in drug-resistance haplotypes were observed. Principal component analysis revealed some STP samples were genetically similar to those from Central and West Africa, indicating possible importation. These findings highlight the need to prioritize several interventions such as targeted interventions against transmission hotspots, reactive case detection, and strategies to reduce the introduction of new parasites into this island nation as it approaches elimination. This study also serves as a case study for implementing genetic surveillance in a low transmission setting.

Identifiers

PMID39072035
PMCPMC11275696

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.