Evidence map›Paper›PMID 40246909›Full record

ArticleScientific reports2025

Species-specific variation in predicted distribution and habitat suitability of phlebotomine sand flies in Italy under different climate change scenarios.

Camila González, Johan Manuel Calderón, Ana María López, Ilaria Bernardini, Luigi Gradoni, Marco Pombi, Gioia Bongiorno, Simona Gabrielli

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Targeted Molecular Screening ofInternational journal of molecular sciences · 2026
    Article
  2. Article
  3. Review
  4. 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.

Camila GonzálezCentro de Investigaciones en Microbiología y Parasitología Tropical (CIMPAT), Departamento de Ciencias Biológicas, Facultad de Ciencias, Universidad de Los Andes, Bogotá, Colombia. c.gonzalez2592@uniandes.edu.co.
Johan Manuel CalderónCentro de Investigaciones en Microbiología y Parasitología Tropical (CIMPAT), Departamento de Ciencias Biológicas, Facultad de Ciencias, Universidad de Los Andes, Bogotá, Colombia.
Ana María LópezCentro de Investigaciones en Microbiología y Parasitología Tropical (CIMPAT), Departamento de Ciencias Biológicas, Facultad de Ciencias, Universidad de Los Andes, Bogotá, Colombia.
Ilaria BernardiniDipartimento di Malattie Infettive, Reparto di malattie trasmesse da vettori. Istituto Superiore di Sanità, Rome, Italy.
Luigi GradoniDipartimento di Malattie Infettive, Reparto di malattie trasmesse da vettori. Istituto Superiore di Sanità, Rome, Italy.
Marco PombiDipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Rome, Italy.
Gioia BongiornoDipartimento di Malattie Infettive, Reparto di malattie trasmesse da vettori. Istituto Superiore di Sanità, Rome, Italy.
Simona GabrielliDipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Rome, Italy. simona.gabrielli@uniroma1.it.

Funding

Sapienza Università di Roma C26V20TH5AUniversidad de los Andes INV-2017-51-1430
6 · The paper itself

Abstract

The incidence of human and canine leishmaniasis in Europe is increasing and is a key indicator in the Lancet Countdown report on health and climate change 2024. While the potential distribution of the disease on a continental scale has been assessed under climate change scenarios, local analyses of vector species distribution are crucial for effective prevention strategies. Italy is endemic for Leishmania infantum, and expansions in the latitudinal and altitudinal distribution of canine cases and vector species have been recorded. This study evaluated the potential distribution of six phlebotomine sand fly species, known or suspected vectors of L. infantum, under climate change scenarios using ecological niche modeling and the maximum entropy (MaxEnt v. 3.4.1) modeling algorithm. We analyzed 410 records from 1979 to 2013 and projected future distributions for 2041-2060 and 2061-2080 using five CMIP5 models and two representative concentration pathways. Historical data from 1968 to 1972 were also examined to confirm suitable areas. The predictions indicate suitable habitats for sand flies throughout Italy, and variations among the different scenarios evaluated. All species show potential for expansion, such as the main vector, P. perniciosus, which shows an increase in the percentage of suitable habitat over time. On the other hand, predictions for P. perfiliewi don't show a clear pattern, with an initial decrease and subsequent increase in suitable areas. Shifts in the distribution of insect vectors may affect the dynamics of Leishmania transmission, highlighting the need for improved surveillance strategies.

Indexed as

Climate ChangeEcosystemInsect VectorsPhlebotomusPsychodidaeAnimalsDogsHumansItalyLeishmania infantumLeishmaniasisSpecies Specificity

Identifiers

PMID40246909
PMCPMC12006379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.