Evidence map›Paper›PMID 33566805›Full record

ArticlePLoS neglected tropical diseases2021

Progress towards onchocerciasis elimination in Côte d'Ivoire: A geospatial modelling study.

Obiora A Eneanya, Benjamin G Koudou, Meite Aboulaye, Aba Ange Elvis, Yeo Souleymane, Marie-Madeleine Kouakou, Gary J Weil, Peter U Fischer

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

8 authors at 3 institutions in 2 countries.

Obiora A EneanyaWashington University School of Medicine, Department of Medicine, Infectious Diseases Division, St. Louis, Missouri, United States of America.ORCID 0000-0002-3235-4239
Benjamin G KoudouCentre Suisse de Recherches Scientifiques en Côte d'Ivoire, Research and Development Department, Abidjan, Côte d'Ivoire.
Meite AboulayeNational Neglected Tropical Diseases Control Program, Ministry of Public Health and Hygiene, Abidjan, Côte d'Ivoire.
Aba Ange ElvisNational Neglected Tropical Diseases Control Program, Ministry of Public Health and Hygiene, Abidjan, Côte d'Ivoire.
Yeo SouleymaneMinistry of Public Health and Hygiene, Abidjan, Côte d'Ivoire.
Marie-Madeleine KouakouMinistry of Public Health and Hygiene, Abidjan, Côte d'Ivoire.
Gary J WeilWashington University School of Medicine, Department of Medicine, Infectious Diseases Division, St. Louis, Missouri, United States of America.ORCID 0000-0002-6336-3824
Peter U FischerWashington University School of Medicine, Department of Medicine, Infectious Diseases Division, St. Louis, Missouri, United States of America.ORCID 0000-0003-4558-3417
Institut National d’Hygiène Publique · CIWashington University in St. Louis · USUniversité Nangui Abrogoua · CI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCôte d'Ivoire has had 45 years of intervention for onchocerciasis by vector control (from 1975 to 1991), ivermectin mass drug administration (MDA) (from 1992 to 1994) and community directed treatment with ivermectin (CDTi) from 1995 to the present. We modeled onchocerciasis endemicity during two time periods that correspond to the scale up of vector control and ivermectin distribution, respectively. This analysis illustrates progress towards elimination during these periods, and it has identified potential hotspots areas that are at risk for ongoing transmission. METHODS AND

findingsThe analysis used Ministry of Health skin snip microfilaria (MF) prevalence and intensity data collected between 1975 and 2016. Socio-demographic and environmental factors were incorporated into a predictive, machine learning algorithm to create continuous maps of onchocerciasis endemicity. Overall predicted mean MF prevalence decreased from 51.8% circa 1991 to 3.9% circa 2016. The model predicted infection foci with higher prevalence in the southern region of the country. Predicted mean community MF load (CMFL) decreased from 10.1MF/snip circa 1991 to 0.1MF/snip circa 2016. Again, the model predicts foci with higher Mf densities in the southern region. For assessing model performance, the root mean squared error and R2 values were 1.14 and 0.62 respectively for a model trained with data collected prior to 1991, and 1.28 and 0.57 for the model trained with infection survey data collected later, after the introduction of ivermectin. Finally, our models show that proximity to permanent inland bodies of water and altitude were the most informative variables that correlated with onchocerciasis endemicity. CONCLUSION/SIGNIFICANCE: This study further documents the significant reduction of onchocerciasis infection following widespread use of ivermectin for onchocerciasis control in Côte d'Ivoire. Maps produced predict areas at risk for ongoing infection and transmission. Onchocerciasis might be eliminated in Côte d'Ivoire in the future with a combination of sustained CDTi with high coverage, active surveillance, and close monitoring for persistent infection in previously hyper-endemic areas.

Indexed as

AnimalsCote d'IvoireHumansIvermectinMass Drug AdministrationMicrofilariaeOnchocerciasisPrevalenceIvermectin

Identifiers

PMID33566805
PMCPMC7875389
OpenAlexW3127473965

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.