Evidence map›Paper›PMID 37104325›Full record

ArticleTropical medicine and infectious disease2023

Community-Led Data Collection: Enhancing Local-Level Scabies Surveillance in Remote Aboriginal Communities in Australia.

Miriam Glennie, Michelle Dowden, Meg Scolyer, Irene O'Meara, Geoffrey Angeles, Hannah Woerle, Patricia T Campbell, Karen Gardner

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Miriam GlenniePublic Sector Research Group, University of New South Wales, Canberra, ACT 2612, Australia.ORCID 0000-0002-4130-7880
Michelle DowdenOne Disease, Darwin, NT 0811, Australia.
Meg ScolyerOne Disease, Darwin, NT 0811, Australia.
Irene O'MearaOne Disease, Darwin, NT 0811, Australia.
Geoffrey AngelesOne Disease, Darwin, NT 0811, Australia.
Hannah WoerleOne Disease, Darwin, NT 0811, Australia.
Patricia T CampbellPeter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC 3010, Australia.ORCID 0000-0003-4013-9835
Karen GardnerPublic Sector Research Group, University of New South Wales, Canberra, ACT 2612, Australia.
University of Canberra · AUThe University of Melbourne · AU

Funding

One Disease N/A
6 · The paper itself

Abstract

Novel approaches to geohealth data analysis offer major benefits to neglected tropical disease control by identifying how social, economic and environmental elements of place interact to influence disease outcomes. However, a lack of timely and accurate geohealth data poses substantial risks to the accuracy of risk identification and challenges to the development of suitably targeted disease control programs. Scabies is one of many skin-related NTDs that is nominated as a priority for global disease control by the World Health Organization, but for which there remains a lack of baseline geospatial data on disease distribution. In this opinion paper, we consider lessons on impediments to geohealth data availability for other skin-related NTDs before outlining challenges specific to the collection of scabies-related geohealth data. We illustrate the importance of a community-centred approach in this context using a recent initiative to develop a community-led model of scabies surveillance in remote Aboriginal communities in Australia.

Indexed as

active case detectioncommunity surveydata ownershipgeohealthneglected tropical diseasesscabies

Identifiers

PMID37104325
PMCPMC10146704
OpenAlexW4361275179

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.