Evidence map›Paper›PMID 32365698›Full record

ArticleSensors (Basel, Switzerland)2020

A Night at the OPERA: A Conceptual Framework for an Integrated Distributed Sensor Network-Based System to Figure out Safety Protocols for Animals under Risk of Fire.

Oscar Tamburis, Francesco Giannino, Mauro D'Arco, Alessandro Tocchi, Christian Esposito, Giorgio Di Fiore, Nadia Piscopo, Luigi Esposito

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. One Digital Health for more FAIRness.Methods of information in medicine · 2022
    Article
  5. Article
  6. Article
  7. Metrology for Agriculture and Forestry 2019.Sensors (Basel, Switzerland) · 2020
    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 3 institutions in 1 country.

Oscar TamburisDepartment of Veterinary Medicine and Animal Productions, University of Naples Federico II, 80137 Naples, Italy.ORCID 0000-0002-0130-7915
Francesco GianninoDepartment of Agricultural Sciences, University of Naples Federico II, 80055 Portici (NA), Italy.ORCID 0000-0001-6860-1767
Mauro D'ArcoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.ORCID 0000-0003-1641-8359
Alessandro TocchiDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.
Christian EspositoDepartment of Computer Science, University of Salerno, 84084 Fisciano (SA), Italy.ORCID 0000-0002-0085-0748
Giorgio Di FioreCeRVEnE (Regional Veterinary referral Center for non-epidemic emergencies), 84031 Auletta (SA), Italy.
Nadia PiscopoDepartment of Veterinary Medicine and Animal Productions, University of Naples Federico II, 80137 Naples, Italy.
Luigi EspositoDepartment of Veterinary Medicine and Animal Productions, University of Naples Federico II, 80137 Naples, Italy.
University of Naples Federico II · ITFederico II University Hospital · ITUniversity of Salerno · IT

Funding

Campania Region, Office for Prevention and Veterinary Public Health N/A
6 · The paper itself

Abstract

Large scale wildfire events that occurred around the world involved a massive loss of animal lives, with a consequent economic impact on agricultural holdings and damages to ecosystems. Preparing animals for a wildfire evacuation requires an extra level of planning, preparedness and coordination, which is missing in the current practice. This paper describes a conceptual framework of an ICT system implemented to support the activities of the Regional Veterinary referral Center for non-epidemic emergencies (CeRVEnE) in the Campania Region for the twofold objectives. On the one hand, it realizes the monitoring of the wooded areas under risk of fire in the so-called "Mount Vesuvius' red zone". On the other hand, it determines the

Indexed as

AnimalsComputer Communication NetworksConservation of Natural ResourcesEcosystemGeographic Information SystemsSafety ManagementWildfiresanimal safetydisaster risk managementDistributed Sensor Networkfire riskOPERAsimulation

Identifiers

PMID32365698
PMCPMC7249212
OpenAlexW3022256737

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.