Evidence map›Paper›PMID 40678396›Full record

ArticleIJID regions2025

Early detection of SARS-CoV-2 variants using genomic surveillance: insights from aircraft wastewater and nasal swabs at Kigali International Airport, Rwanda.

Misbah Gashegu, Raissa Muvunyi, Jean Pierre Musabyimana, Esperance Umumararungu, Laetitia Irankunda, Chantal Mutezemariya, Arlene Uwituze, Nelson Gahima, John Rwabuhihi, Jean Claude Mugisha and 11 more

Abstract read
In one paragraph

Article in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

21 authors.

Misbah GasheguRwanda Biomedical Centre, Kigali, Rwanda.
Raissa MuvunyiRwanda Biomedical Centre, Kigali, Rwanda.
Jean Pierre MusabyimanaRwanda Biomedical Centre, Kigali, Rwanda.
Esperance UmumararunguRwanda Biomedical Centre, Kigali, Rwanda.
Laetitia IrankundaRwanda Biomedical Centre, Kigali, Rwanda.
Chantal MutezemariyaRwanda Biomedical Centre, Kigali, Rwanda.
Arlene UwituzeRwanda Biomedical Centre, Kigali, Rwanda.
Nelson GahimaRwanda Biomedical Centre, Kigali, Rwanda.
John RwabuhihiRwanda Biomedical Centre, Kigali, Rwanda.
Jean Claude MugishaSchool of Medicine and Pharmacy, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Ayman AhmedRwanda Biomedical Centre, Kigali, Rwanda.
Noel GahamanyiRwanda Biomedical Centre, Kigali, Rwanda.
Leon MutesaSchool of Medicine and Pharmacy, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Cecilia A PratorGinkgo Bioworks, Boston, MA, USA.
Elizabeth A LandisGinkgo Bioworks, Boston, MA, USA.
Casandra W PhilipsonGinkgo Bioworks, Boston, MA, USA.
Nicole Bohme CarnegieGinkgo Bioworks, Boston, MA, USA.
Albert TuyishimeRwanda Biomedical Centre, Kigali, Rwanda.
Isabelle MukagatareRwanda Biomedical Centre, Kigali, Rwanda.
Noella BigirimanaRwanda Biomedical Centre, Kigali, Rwanda.
Claude Mambo MuvunyiRwanda Biomedical Centre, Kigali, Rwanda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The growing threat of emerging infectious diseases necessitates proactive genomic surveillance, particularly, in regions with limited resources and low levels of existing reporting. This study highlights the implementation of a comprehensive genomic surveillance program at the Kigali International Airport and explores the utility of a dual-sample strategy leveraging environmental aircraft wastewater and pooled nasal swab sample types for comprehensive detection and characterization of SARS-CoV-2 lineages being imported into Rwanda. Methods: Using a combined pooled nasal swab and aircraft wastewater sampling approach resulted in complementary insights in terms of geographic coverage, positivity, and variant characterization. Results: Mutational profiling in source pooled nasal swabs and aircraft wastewater sample data revealed dynamic shifts in mutation prevalence that corresponded with global patterns. Emerging variant JN.1 was detected early in nasal swab data, demonstrating the power of using genomic surveillance as an early warning system. Conclusions: These results support the feasibility of pathogen surveillance in high-traffic settings and may help drive interest in expanding programs to include pathogens beyond SARS-CoV-2.

Indexed as

SARS-Cov2SurveillanceTraveler genomics

Identifiers

PMID40678396
PMCPMC12269423

What OpenQuestion holds

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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.