Evidence map›Paper›PMID 37672518›Full record

ArticlePLoS neglected tropical diseases2023

How correlations between treatment access and surveillance inclusion impact neglected tropical disease monitoring and evaluation-A simulated study.

Jessica Clark, Emma L Davis, Joaquin M Prada, Katherine Gass, Alison Krentel, T Déirdre Hollingsworth

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2023. 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
0.6field-weighted citation impact, top 34% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
  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

6 authors at 4 institutions in 3 countries.

Jessica ClarkSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland.ORCID 0000-0003-1692-899X
Emma L DavisBig Data Institute, Neglected Tropical Disease Modelling Consortium, University of Oxford, Oxford, England.
Joaquin M PradaSchool of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, England.
Katherine GassNeglected Tropical Diseases Support Center, Task Force for Global Health, Decatur, Georgia, United States of America.
Alison KrentelSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.
T Déirdre HollingsworthBig Data Institute, Neglected Tropical Disease Modelling Consortium, University of Oxford, Oxford, England.
Open Data Institute · GBThe Task Force for Global Health · USUniversity of Ottawa · CAUniversity of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neglected tropical diseases (NTDs) largely impact marginalised communities living in tropical and subtropical regions. Mass drug administration is the leading intervention method for five NTDs; however, it is known that there is lack of access to treatment for some populations and demographic groups. It is also likely that those individuals without access to treatment are excluded from surveillance. It is important to consider the impacts of this on the overall success, and monitoring and evaluation (M&E) of intervention programmes. We use a detailed individual-based model of the infection dynamics of lymphatic filariasis to investigate the impact of excluded, untreated, and therefore unobserved groups on the true versus observed infection dynamics and subsequent intervention success. We simulate surveillance in four groups-the whole population eligible to receive treatment, the whole eligible population with access to treatment, the TAS focus of six- and seven-year-olds, and finally in >20-year-olds. We show that the surveillance group under observation has a significant impact on perceived dynamics. Exclusion to treatment and surveillance negatively impacts the probability of reaching public health goals, though in populations that do reach these goals there are no signals to indicate excluded groups. Increasingly restricted surveillance groups over-estimate the efficacy of MDA. The presence of non-treated groups cannot be inferred when surveillance is only occurring in the group receiving treatment.

Indexed as

Elephantiasis, FilarialHumansMass Drug AdministrationNeglected DiseasesProbabilityPublic Health

Identifiers

PMID37672518
PMCPMC10506705
OpenAlexW4386470049

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.