Digital public health: Automation based on new datasets and the Internet of Things

Elena G. Popkova and Bruno S. Sergi

Socio-Economic Planning Sciences, 2022, vol. 80, issue C

Abstract: This paper presents a successfully applied development of new datasets and offers an innovative solution through interactive platforms to gather, process, and analyze big data. The paper shows the capabilities, advantages, and perspectives of using datasets in digital public health amid virus threats, e.g., the COVID-19 pandemic. The paper's contribution to the literature includes developing and applying a solution to implement the digital public health concept connected to creating and expanding datasets. There is a general lack of studies examining the practical impact of technology and big data on “smart” digital public health management and its implications and effects; much is still to uncover in the literature. Instead, this paper supplies intellectual monitoring and “smart” digital public health management based on the Internet of Things (IoT). As artificial intelligence becomes accessible to all, our applied research drew on the dataset “COVID-19 and the 2020 economic crisis figure out healthcare system capabilities and ramifications for the economy and business all over the world.” It applies datasets for intellectual monitoring and “smart” digital public health management based on IoT and artificial intelligence, allowing its use in a wide range of scientific studies and real cases.

Keywords: Digital public health; Intellectual monitoring; “Smart” management; Internet of things; Artificial intelligence; Big data; Dataset (search for similar items in EconPapers)
JEL-codes: H51 I14 I15 I18 L15 O14 O31 O32 O33 O38 P46 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:80:y:2022:i:c:s0038012121000318

DOI: 10.1016/j.seps.2021.101039

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