Evidence map›Paper›PMID 41780060›Full record

ArticleEmerging microbes & infections2026

Lassa virus live tracking and lineage assignment: how nextstrain can enhance surveillance and public health in Africa and beyond.

Richard Olumide Daodu, Jennifer Chang, Joseph B Prescott, Knut Reinert, Denise Kühnert

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Richard Olumide DaoduCenter for Artificial Intelligence in Public Health Research, Robert Koch Institute, Berlin, Germany.ORCID 0009-0008-9568-4455
Jennifer ChangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-8381-3765
Joseph B PrescottCenter for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany.ORCID 0000-0001-5718-5155
Knut ReinertDepartment of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0003-3078-8129
Denise KühnertCenter for Artificial Intelligence in Public Health Research, Robert Koch Institute, Berlin, Germany.ORCID 0000-0002-5657-018X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lassa virus (LASV), a zoonotic, bi-segmented arenavirus endemic to West Africa, causes seasonal epidemics with substantial morbidity and mortality. Increasing frequency of exported cases emphasizes the need for near real-time genomic surveillance to support outbreak response and clinical decision-making. We developed a suite of open-access resources on the Nextstrain and Nextclade platforms tailored to LASV. These include live phylogenetic and phylogeographic visualization, as well as Nextclade builds for rapid mutation detection and lineage assignment based on the L and S segments and the glycoprotein complex (GPC). A dedicated GPC phylogeny enables tracking of clinically relevant mutations, including immunologically relevant variants such as alanine at position 76 (A76), which is prevalent in lineage II and is implicated in reduced binding of monoclonal antibody 25.10C. The Nextclade tools distinguish LASV from other mammarenaviruses and assign lineages with Matthews correlation coefficients exceeding 85%. These tools are available at https://nextstrain.org/lassa for immediate use in surveillance, data annotation, outbreak response, and potentially support clinical decision-making in both endemic regions and exported-case scenarios. A key limitation is dependence on genomic data quality and recency. Although sampling-to-submission delays have decreased over the past 40 years, the average delay in the past five years remains ∼2 years. In many endemic LASV regions, challenges, such as limited resources, infrastructure, and previous experiences of stigmatization and political repercussions linked to outbreak reporting, restrict data sharing. The resulting disparities and delays may hinder comprehensive surveillance and timely response, with implications for global public health.

Indexed as

Lassa FeverLassa virusAfricaAnimalsDisease OutbreaksGenome, ViralHumansPhylogenyPhylogeographyPublic HealthCLASVepidemiologygenomic surveillanceLassa virusNextcladeNextstrainphylogenetics

Identifiers

PMID41780060
PMCPMC13084845

What Socratic 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 Socratic graph.