Evidence map›Paper›PMID 33754988›Full record

ArticleEmerging infectious diseases2021

Epidemiologic and Genomic Reidentification of Yaws, Liberia.

Joseph W S Timothy, Mathew A Beale, Emerson Rogers, Zeela Zaizay, Katherine E Halliday, Tarnue Mulbah, Romeo K Giddings, Stephen L Walker, Nicholas R Thomson, Karsor K Kollie and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Yaws in Africa: Past, Present and Future.Diseases (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

12 authors at 2 institutions in 1 country.

Joseph W S Timothy
Mathew A Beale
Emerson Rogers
Zeela Zaizay
Katherine E Halliday
Tarnue Mulbah
Romeo K Giddings
Stephen L Walker
Nicholas R Thomson
Karsor K Kollie
Rachel L Pullan
Michael Marks
London School of Hygiene & Tropical Medicine · GBWellcome Sanger Institute · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

We confirmed endemicity and autochthonous transmission of yaws in Liberia after a population-based, community-led burden estimation (56,825 participants). Serologically confirmed yaws was rare and focal at population level (24 cases; 2.6 [95% CI 1.4-3.9] cases/10,000 population) with similar clinical epidemiology to other endemic countries in West Africa. Unsupervised classification of spatially referenced case finding data indicated that yaws was more likely to occur in hard-to-reach communities; healthcare-seeking was low among communities, and clinical awareness of yaws was low among healthcare workers. We recovered whole bacterial genomes from 12 cases and describe a monophyletic clade of Treponema pallidum subspecies pertenue, phylogenetically distinct from known TPE lineages, including those affecting neighboring nonhuman primate populations (Taï Forest, Côte d'Ivoire). Yaws is endemic in Liberia but exhibits low focal population prevalence with evidence of a historical genetic bottleneck and subsequent local expansion. Reporting gaps appear attributable to challenging epidemiology and low disease awareness.

Indexed as

YawsAnimalsCote d'IvoireGenomicsHumansLiberiaTreponema pallidumaccessibilitybacteriabottleneckcase detectioncase findinggenomeLiberianeglected tropical diseasesnonhuman primatepertenuesequencingTreponema pallidumWest Africayaws

Identifiers

PMID33754988
PMCPMC8007311
OpenAlexW3137264610

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.