Evidence map›Paper›PMID 31853554›Full record

ArticleThe Journal of infectious diseases2020

Elimination or Resurgence: Modelling Lymphatic Filariasis After Reaching the 1% Microfilaremia Prevalence Threshold.

Joaquin M Prada, Emma L Davis, Panayiota Touloupou, Wilma A Stolk, Periklis Kontoroupis, Morgan E Smith, Swarnali Sharma, Edwin Michael, Sake J de Vlas, T Déirdre Hollingsworth

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Lymphatic filariasis transmission 10 years after stopping mass drug administration in the Gomoa west district of Ghana.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Article
  3. Article
  4. Article
  5. Predictive Value of Microfilariae-Based Stop-MDA Thresholds After Triple Drug Therapy With IDA Against Lymphatic Filariasis in Treatment-Naive Indian Settings.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  6. An Ensemble Framework for Projecting the Impact of Lymphatic Filariasis Interventions Across Sub-Saharan Africa at a Fine Spatial Scale.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  7. Subnational Projections of Lymphatic Filariasis Elimination Targets in Ethiopia to Support National Level Policy.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Modelling the Impact of Vector Control on Lymphatic Filariasis Programs: Current Approaches and Limitations.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Review
  14. What Can Modeling Tell Us About Sustainable End Points for Neglected Tropical Diseases?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  15. Article
  16. 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

10 authors.

Joaquin M PradaSchool of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.
Emma L DavisZeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, Mathematics Institute and School of Life Sciences, University of Warwick, Coventry, UK.
Panayiota TouloupouDepartment of Statistics, University of Warwick, Coventry, UK.
Wilma A StolkDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Periklis KontoroupisDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Morgan E SmithDepartment of Biological Sciences, University of Notre Dame, South Bend, Indiana, USA.
Swarnali SharmaDepartment of Biological Sciences, University of Notre Dame, South Bend, Indiana, USA.
Edwin MichaelDepartment of Biological Sciences, University of Notre Dame, South Bend, Indiana, USA.
Sake J de VlasDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
T Déirdre HollingsworthBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Headington, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The low prevalence levels associated with lymphatic filariasis elimination pose a challenge for effective disease surveillance. As more countries achieve the World Health Organization criteria for halting mass treatment and move on to surveillance, there is increasing reliance on the utility of transmission assessment surveys (TAS) to measure success. However, the long-term disease outcomes after passing TAS are largely untested. Using 3 well-established mathematical models, we show that low-level prevalence can be maintained for a long period after halting mass treatment and that true elimination (0% prevalence) is usually slow to achieve. The risk of resurgence after achieving current targets is low and is hard to predict using just current prevalence. Although resurgence is often quick (<5 years), it can still occur outside of the currently recommended postintervention surveillance period of 4-6 years. Our results highlight the need for ongoing and enhanced postintervention monitoring, beyond the scope of TAS, to ensure sustained success.

Indexed as

Models, BiologicalAnimalsComputer SimulationDisease EradicationElephantiasis, FilarialHumansMicrofilariaebreakpointseliminationlymphatic filariasismodellingpostvalidation surveillanceresurgencethresholds

Identifiers

PMID31853554
PMCPMC7289550

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.