Evidence map›Paper›PMID 42246066›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2026

Scenario analysis for potential community spread of Andes virus (ANDV).

Valentina Marziano, Alfredo De Bellis, Martina Del Manso, Antonino Bella, Alberto Mateo Urdiales, Carla Molina Grané, Francesco Menegale, Lorenzo Lucchini, Mattia Manica, Sobha Pilati and 7 more

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Valentina MarzianoCenter for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.
Alfredo De BellisCenter for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.
Martina Del MansoDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Antonino BellaDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Alberto Mateo UrdialesDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Carla Molina GranéCenter for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.
Francesco MenegaleCenter for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.
Lorenzo LucchiniCenter for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.
Mattia ManicaCenter for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.
Sobha PilatiDepartment for Prevention, Research, and Health Emergencies, Ministry of Health, Rome, Italy.
Daniele MipatriniDepartment for Prevention, Research, and Health Emergencies, Ministry of Health, Rome, Italy.
Flavia RiccardoDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Giorgio GuzzettaCenter for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.
Piero PolettiCenter for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.
Anna Teresa PalamaraDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Patrizio PezzottiDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Stefano MerlerCenter for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We simulated the potential community spread of Andes virus (ANDV) following the introduction of a single infectious individual in a generic population, based on epidemiological parameters derived from a human-to-human historical outbreak. Under current available evidence, our analyses suggest that, within 4 months from the index case's symptom onset, the expected outbreak size is unlikely to exceed 50 cases, with a high probability of epidemic extinction, particularly when > 50% cases are effectively isolated from the start of the outbreak.

Indexed as

Disease OutbreaksHantavirus InfectionsOrthohantavirusAnimalsComputer SimulationHumansModels, TheoreticalRisk AssessmentAndes virusHantavirusmathematical modellingrisk assessmentscenario analysistransmission dynamics

Identifiers

PMID42246066
PMCPMC13241788

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.