Evidence map›Paper›PMID 31649285›Full record

ArticleScientific reports2019

Accelerating river blindness elimination by supplementing MDA with a vegetation "slash and clear" vector control strategy: a data-driven modeling analysis.

Morgan E Smith, Shakir Bilal, Thomson L Lakwo, Peace Habomugisha, Edridah Tukahebwa, Edson Byamukama, Moses N Katabarwa, Frank O Richards, Eddie W Cupp, Thomas R Unnasch and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Elimination ofThe American journal of tropical medicine and hygiene · 2020
    Article
  10. Onchocerciasis Elimination: Progress and Challenges.Research and reports in tropical medicine · 2020
    Review
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

11 authors at 5 institutions in 2 countries.

Morgan E SmithDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
Shakir BilalDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
Thomson L LakwoVector Control Division, Ministry of Health, Kampala, Uganda.
Peace HabomugishaThe Carter Center, Uganda office, Kampala, Uganda.
Edridah TukahebwaVector Control Division, Ministry of Health, Kampala, Uganda.
Edson ByamukamaThe Carter Center, Uganda office, Kampala, Uganda.
Moses N KatabarwaEmory University and The Carter Center, Atlanta, GA, USA.
Frank O RichardsEmory University and The Carter Center, Atlanta, GA, USA.
Eddie W CuppDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Thomas R UnnaschDepartment of Global Health, College of Public Health, University of South Florida, Tampa, FL, USA.
Edwin MichaelDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA. emichael@nd.edu.
University of Notre Dame · USEmory University · USMinistry of Health · UGAuburn University · USUniversity of South Florida · US

Funding

Community-directed vector control to enhance mass drug administration for onchocerciasis elimination in AfricaR01AI123245 · NIAID · UNIVERSITY OF SOUTH FLORIDA · PI UNNASCH, THOMAS R · 2017 to 2021
$2.6M
NIAID NIH HHS R01 AI123245
6 · The paper itself

Abstract

Attention is increasingly focusing on how best to accelerate progress toward meeting the WHO's 2030 goals for neglected tropical diseases (NTDs). For river blindness, a major NTD targeted for elimination, there is a long history of using vector control to suppress transmission, but traditional larvicide-based approaches are limited in their utility. One innovative and sustainable approach, "slash and clear", involves clearing vegetation from breeding areas, and recent field trials indicate that this technique very effectively reduces the biting density of Simulium damnosum s.s. In this study, we use a Bayesian data-driven mathematical modeling approach to investigate the potential impact of this intervention on human onchocerciasis infection. We developed a novel "slash and clear" model describing the effect of the intervention on seasonal black fly biting rates and coupled this with our population dynamics model of Onchocerca volvulus transmission. Our results indicate that supplementing annual drug treatments with "slash and clear" can significantly accelerate the achievement of onchocerciasis elimination. The efficacy of the intervention is not very sensitive to the timing of implementation, and the impact is meaningful even if vegetation is cleared only once per year. As such, this community-driven technique will represent an important option for achieving and sustaining O. volvulus elimination.

Indexed as

AnimalsAntiparasitic AgentsHumansInsect ControlInsect VectorsIvermectinModels, TheoreticalOnchocerca volvulusOnchocerciasis, OcularAntiparasitic AgentsIvermectin

Identifiers

PMID31649285
PMCPMC6813336
OpenAlexW2982275529

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.