Evidence map›Paper›PMID 33804605›Full record

ArticleInternational journal of environmental research and public health2021

Infectious Diseases Seeker (IDS): An Innovative Tool for Prompt Identification of Infectious Diseases during Outbreaks.

Federico Baldassi, Mariachiara Carestia, Stefania Moramarco, Andrea Malizia, Pasquale Gaudio

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Federico BaldassiDepartment of Industrial Engineering, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0001-8991-2476
Mariachiara CarestiaDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0001-7811-5201
Stefania MoramarcoDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0001-6192-8775
Andrea MaliziaDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-4123-1716
Pasquale GaudioDepartment of Industrial Engineering, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0003-0861-558X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral technologies for rapid molecular identification of pathogens are currently available; jointly with monitoring tools (i.e., web-based surveillance tools, infectious diseases modelers, and epidemic intelligence methods), they represent important components for timely outbreak detection and identification of the involved pathogen. The application of these approaches is usually feasible and effective when performed by healthcare professionals with specific expertise and skills and when data and resources are easily accessible. Contrariwise, in the field situation where healthcare workers or first responders from heterogeneous competences can be asked to investigate an outbreak of unknown origin, a simple and suitable tool for rapid agent identification and appropriate outbreak management is highly needed. Most especially when time is limited, available data are incomplete, and accessible infrastructure and resources are inadequate. The use of a prompt, user-friendly, and accessible tool able to rapidly recognize an infectious disease outbreak and with high sensitivity and precision may be a game-changer to support emergency response and public health investigations.

methodsThis paper presents the work performed to implement and test an innovative tool for prompt identification of infectious diseases during outbreaks, called Infectious Diseases Seeker (IDS). IDS is a standalone software that runs on the most common operative systems. It has been built by integrating a database containing an interim set of 60 different disease causative agents and COVID-19 data and is able to work in an off-line mode without requiring a network connection.

resultsIDS has been applied in a real and complex scenario in terms of concomitant infectious diseases (yellow fever, COVID-19, and Lassa fever), as can be in the second part of 2020 in Nigeria. The outcomes have allowed inferring that yellow fever (YF), and not Lassa fever, was affecting the area under investigation.

conclusionsOur result suggests that a tool like IDS could be valuable for the quick and easy identification and discrimination of infectious disease outbreaks even when concurrent outbreaks occur, like for the case study of YF and COVID-19 pandemic in Nigeria.

Indexed as

Communicable DiseasesCOVID-19Disease OutbreaksHumansNigeriaPandemicsSARS-CoV-2COVID-19emerging and re-emerging infectious diseasesepidemiologyInfectious Diseases Seeker (IDS)outbreakspathogenspublic healthyellow fever

Identifiers

PMID33804605
PMCPMC8003641

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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.