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

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.