Evidence map›Paper›PMID 35901184›Full record

ArticlePLoS neglected tropical diseases2022

Epidemiology of nodding syndrome in the Greater Mundri area, South Sudan: Prevalence, spatial pattern and environmental risk factors.

Gasim Omer Elkhalifa Abd-Elfarag, Lukudu Emmanuel, Arthur W D Edridge, Stella van Beers, Mohamed B Sebit, Michaël B van Hensbroek, Ente J J Rood

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  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

7 authors at 3 institutions in 2 countries.

Gasim Omer Elkhalifa Abd-ElfaragAmsterdam Center for Global Health, Department of Pediatrics and Department of Global Health, Amsterdam UMC, Amsterdam, the Netherlands.ORCID 0000-0003-3631-9497
Lukudu EmmanuelAccess for Humanity (AFH), Monitoring and Evaluation Unit, Juba, the Republic of South Sudan.
Arthur W D EdridgeAmsterdam Center for Global Health, Department of Pediatrics and Department of Global Health, Amsterdam UMC, Amsterdam, the Netherlands.
Stella van BeersKit-Royal Tropical Institute, Epidemiology, Center for Applied Spatial Epidemiology (CASE), Amsterdam, the Netherlands.
Mohamed B SebitDepartment of Psychiatry, College of Medicine, University of Juba, Juba, the Republic of South Sudan.
Michaël B van HensbroekAmsterdam Center for Global Health, Department of Pediatrics and Department of Global Health, Amsterdam UMC, Amsterdam, the Netherlands.
Ente J J RoodKit-Royal Tropical Institute, Epidemiology, Center for Applied Spatial Epidemiology (CASE), Amsterdam, the Netherlands.
Amsterdam Institute for Global Health and Development · NLRoyal Tropical Institute · NLUniversity of Juba · SS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNodding syndrome (NS) is a progressive neurological disease that has been described in several sub-Saharan African counties, but South Sudan is considered the most affected. However, knowledge about the exact burden and the epidemiological risk factors of NS in South Sudan is lacking.

objectiveTo determine the prevalence, distribution and epidemiological risk factors of NS in the Greater Mundri area, the epicenter of NS in South Sudan.

methodsA NS prevalence house-to-house survey was conducted in multiple villages between February 2018 and November 2019. Geographical distribution and clustering of NS cases was identified using spatial and binomial regression analysis. Epidemiological risk factors of NS were identified using univariate and multivariate models.

resultsOf the 22,411 persons surveyed in 92 villages, 607 (2.7%) persons with NS were identified, of which 114 (19%) were new-onset cases. The highest prevalence was found in Diko village with a prevalence of 13.7%. NS showed a significant spatial pattern with clustering of cases between adjacent households and along rivers. Risks factors for NS include all behaviors around rivers (drinking, cooking, handwashing and bathing) and exposure to poultry. On the other hand, ownership of mobile phone decreased the risk of NS. Many other factors, including prior ivermectin treatment and internal displacement were not associated with NS.

conclusionOur study demonstrates a very high burden of the NS disease in the Greater Mundri area, strengthens the association with rivers, and identified possible new clues for an underlying cause.

Indexed as

Nodding SyndromeEnvironmentHumansPrevalenceRisk FactorsSouth SudanSpatial Analysis

Identifiers

PMID35901184
PMCPMC9362928
OpenAlexW4288441793

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.