Evidence map›Paper›PMID 26489937›Full record

ArticleParasites & vectors2015

Required duration of mass ivermectin treatment for onchocerciasis elimination in Africa: a comparative modelling analysis.

Wilma A Stolk, Martin Walker, Luc E Coffeng, María-Gloria Basáñez, Sake J de Vlas

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
14.0field-weighted citation impact, top 1% 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

83 citing papers in PubMed, 1 synthesis or guideline pooled it, 238 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Macrofilaricidal Efficacy of Repeated Doses of Ivermectin for the Treatment of River Blindness.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
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  15. Can mass drug administration of moxidectin accelerate onchocerciasis elimination in Africa?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  16. AssessingPathogens (Basel, Switzerland) · 2023
    Article
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23 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Wilma A StolkDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. w.stolk@erasmusmc.nl.
Martin WalkerLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. m.walker06@imperial.ac.uk.
Luc E CoffengDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. l.coffeng@erasmusmc.nl.
María-Gloria BasáñezLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. m.basanez@imperial.ac.uk.
Sake J de VlasDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. s.devlas@erasmusmc.nl.
Erasmus MC · NLImperial College London · GB

Funding

Wellcome Trust 092677/Z/10/Z
6 · The paper itself

Abstract

backgroundThe World Health Organization (WHO) has set ambitious targets for the elimination of onchocerciasis by 2020-2025 through mass ivermectin treatment. Two different mathematical models have assessed the feasibility of reaching this goal for different settings and treatment scenarios, namely the individual-based microsimulation model ONCHOSIM and the population-based deterministic model EPIONCHO. In this study, we harmonize some crucial assumptions and compare model predictions on common outputs.

methodsUsing a range of initial endemicity levels and treatment scenarios, we compared the models with respect to the following outcomes: 1) model-predicted trends in microfilarial (mf) prevalence and mean mf intensity during 25 years of (annual or biannual) mass ivermectin treatment; 2) treatment duration needed to bring mf prevalence below a provisional operational threshold for treatment interruption (pOTTIS, i.e. 1.4 %), and 3) treatment duration needed to drive the parasite population to local elimination, even in the absence of further interventions. Local elimination was judged by stochastic fade-out in ONCHOSIM and by reaching transmission breakpoints in EPIONCHO.

resultsONCHOSIM and EPIONCHO both predicted that in mesoendemic areas the pOTTIS can be reached with annual treatment, but that this strategy may be insufficient in very highly hyperendemic areas or would require prolonged continuation of treatment. For the lower endemicity levels explored, ONCHOSIM predicted that the time needed to reach the pOTTIS is longer than that needed to drive the parasite population to elimination, whereas for the higher endemicity levels the opposite was true. In EPIONCHO, the pOTTIS was reached consistently sooner than the breakpoint.

conclusionsThe operational thresholds proposed by APOC may have to be adjusted to adequately reflect differences in pre-control endemicities. Further comparative modelling work will be conducted to better understand the main causes of differences in model-predicted trends. This is a pre-requisite for guiding elimination programmes in Africa and refining operational criteria for stopping mass treatment.

Indexed as

Disease EradicationAfricaDrug TherapyFilaricidesIvermectinModels, TheoreticalOnchocerciasisTime FactorsFilaricidesIvermectin

Identifiers

PMID26489937
PMCPMC4618738
OpenAlexW2105272113

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.