Evidence map›Paper›PMID 33117874›Full record

ArticleOne health (Amsterdam, Netherlands)2020

Integrating environmental, entomological, animal, and human data to model the

G Moirano, S Zanet, E Giorgi, E Battisti, S Falzoi, F Acquaotta, S Fratianni, L Richiardi, E Ferroglio, M Maule

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  4. Review
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  6. Seroprevalence, clinical investigation, and risk factors associated withJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2025
    Article
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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.

G MoiranoCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Torino, Italy.
S ZanetDept. of Veterinary Sciences, University of Turin, Torino, Italy.
E GiorgiCHICAS, Lancaster University Medical School, Lancaster, UK.
E BattistiDept. of Veterinary Sciences, University of Turin, Torino, Italy.
S FalzoiDepartment of Earth Sciences, University of Turin, Torino, Italy.
F AcquaottaDepartment of Earth Sciences, University of Turin, Torino, Italy.
S FratianniDepartment of Earth Sciences, University of Turin, Torino, Italy.
L RichiardiCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Torino, Italy.
E FerroglioDept. of Veterinary Sciences, University of Turin, Torino, Italy.
M MauleCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHistorically, leishmaniasis in Italy was constrained to areas with Mediterranean climate. In the last 20 years, sand fly vectors (

aimWe aim to evaluate through a One-Health approach the risk of endemic transmission of

methodsWe collected environmental, entomological, animal, and human data. We applied a geostatistical binomial model to map the probability of

resultsBetween 1999 and 2003, 142 sampling sets (17%) out of 839 resulted positive for

conclusionsUsing a One-Health approach, we quantified the spatial association between the distribution of

Indexed as

LeishmaniasisOne healthSpatial epidemiology

Identifiers

PMID33117874
PMCPMC7582207

What OpenQuestion holds

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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.