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A Prospective Model of a Digital Epidemiological Surveillance 4.0 Based on the Peruvian Public Health System

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cris.virtual.department Departamento de Ingeniería
cris.virtual.department Departamento de Ingeniería
cris.virtual.department Departamento de Ingeniería
cris.virtual.department Departamento de Ingeniería
cris.virtualsource.department 22baad24-3940-4b6e-9321-95af7830eca0
cris.virtualsource.department 4e37cc1f-316d-4b11-97cd-fd8f31e1b26a
cris.virtualsource.department 11bd9f1d-f101-44d7-b998-f0fbd75a3bd6
cris.virtualsource.department 2ce5581a-779e-4a00-8d2d-ad80edbdb69a
dc.contributor.author María Arangurí
dc.contributor.author Jessie Bravo
dc.contributor.author Roger Alarcón
dc.contributor.author Alan Rodriguez
dc.contributor.author David Correa
dc.date.accessioned 2025-01-24T17:52:56Z
dc.date.available 2025-01-24T17:52:56Z
dc.date.issued 2021
dc.description.abstract The health-disease situation of the population and health care delivery services are continuously monitored by epidemiological surveillance systems and health information systems, but since the first cases of COVID-19 appeared in December 2019 and spread globally, each country tried to control the virus by activating their own health protocols, but they became insufficient to face the pandemic and every control attempts seem impossible to all humanity, even more without the support of information technologies, which provides a rapid response for decision-making. Being that the reason why surveillance systems should help mitigate the spread of diseases and, at the same time, plan resources to protect the health status of citizens. Therefore, the aim of this article is to propose a model of a digital epidemiological surveillance 4.0, considering the current technological revolution and the constant evolution of the Internet. This model is divided into 4 phases: situational analysis, planning, execution and evaluation, and supported on 4 key components: logistic support, digital privacy and data protection, communication and technology, and disruptive innovation. A quantitative type of research was applied in a sample of 58 participants, all working as health staff in Chiclayo-Peru, to whom a data collection instrument, based on digital forms and interviews with medical epidemiologists, was applied, that information, which mainly considers the perception and perspectives of the epidemiological surveillance system, served as the basis for the proposed model.
dc.description.sponsorship Universidad Católica Santo Toribio de Mogrovejo
dc.identifier.doi 10.1007/978-981-16-5792-4_5
dc.identifier.isbn 9789811657917
dc.identifier.scopus 2-s2.0-85116899991
dc.identifier.uri https://cris.usat.edu.pe/handle/123456789/115
dc.identifier.url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116899991&doi=10.1007%2f978-981-16-5792-4_5&partnerID=40&md5=1aae5e7653d018f9cf97cbb0007d68e8
dc.language.iso en
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.funding RESOLUCIÓN-073-A-2020-USAT-RTDO (Item1)
dc.relation.grantno RESOLUCIÓN-073-A-2020-USAT-RTDO
dc.relation.ispartof Smart Innovation, Systems and Technologies
dc.relation.ispartof Communication and Smart Technologies
dc.relation.issn 2190-3018
dc.relation.issn 2190-3026
dc.relation.project Vigilancia digital de los casos sospechosos de infección por el virus SARS-COV-2 a través de una plataforma tecnológica semaforizada con seguimiento geo referenciado para mejorar los servicios hospitalarios
dc.subject Epidemiological surveillance
dc.subject Information technologies
dc.subject Public health
dc.subject Systemic approach
dc.title A Prospective Model of a Digital Epidemiological Surveillance 4.0 Based on the Peruvian Public Health System
dc.type http://purl.org/coar/resource_type/c_f744
dspace.entity.type Publication
oaire.citation.endPage 50
oaire.citation.startPage 40
oaire.citation.volume 259 SIST
oaire.version http://purl.org/coar/version/c_970fb48d4fbd8a85
oairecerif.access http://purl.org/coar/access_right/c_abf2
perucris.ods ODS 9: Industria, innovación e infraestructura
perucris.researchLine Gestión empresarial e innovación
perucris.subject.ocde https://purl.org/pe-repo/ocde/ford#2.06.00
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