Evidence map›Paper›PMID 37104347›Full record

ArticleTropical medicine and infectious disease2023

A Spatial Autocorrelation Method for

Andrew Larkins, Mieghan Bruce, Amanda Ash

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Risk factors for Taenia solium taeniasis: A case-control study in Lao PDR.Tropical medicine & international health : TM & IH · 2025
    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

3 authors.

Andrew LarkinsSchool of Medical, Molecular and Forensic Sciences, Murdoch University, Perth, WA 6150, Australia.ORCID 0000-0002-2741-1059
Mieghan BruceCentre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Perth, WA 6150, Australia.ORCID 0000-0003-3176-2094
Amanda AshSchool of Medical, Molecular and Forensic Sciences, Murdoch University, Perth, WA 6150, Australia.

Funding

Australian Centre for International Agricultural Research LS/2014/055
6 · The paper itself

Abstract

backgroundThe World Health Organization has identified

methodGlobal and local autocorrelation statistics were applied to available risk factor data sourced from national censuses to map the risk of

resultsApproximately 50% of villages could be considered hot spots for one or more risk factors. Different risk factor hot spots co-occurred in 30% of villages. Twenty per cent of villages were classified as hot spots for the proportion of households owning pigs and another risk factor. Northern Lao PDR was the dominant high-risk area. This is consistent with passive reports, limited surveys, and anecdotal reports. One smaller area in southern Lao PDR was also identified as high-risk. This is of particular interest because

conclusionsThe methods applied provide a simple, rapid, and versatile approach that allows endemic countries to begin mapping the risk of

Indexed as

Lao PDRneglected tropical diseasesneurocysticercosisTaenia soliumzoonoses

Identifiers

PMID37104347
PMCPMC10146971

What OpenQuestion holds

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LicenceCC BY
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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.