Smart resilience through IoT‐enabled natural disaster management: A COVID‐19 response in São Paulo state

Author:

Santos Alessandro S.1ORCID,Goncales Icaro1ORCID,Silva Angelina1ORCID,Neves Rodrigo1ORCID,Teixeira Igor1,Barbosa Eder1ORCID,Gava Vagner1ORCID,Yoshida Olga2ORCID

Affiliation:

1. Digital Technologies Institute for Technological Research São Paulo Brazil

2. Regulatory and Metrological Technologies Institute for Technological Research São Paulo Brazil

Abstract

AbstractNatural disaster management approach establishes stages of prevention, preparation, response, and recovery. With the Internet of Things (IoT), Bigdata, Business Intelligence, and other Information Communication Technologies, data can be gathered to support decisions in stages of the response to natural disaster events. In biological natural disasters, the ICTs can also support efforts to promote social distancing, public health, and economic monitoring to face the threads. São Paulo state used IoT in scenarios to face COVID‐19, such as monitoring vehicular interurban mobility, social distancing, and economic activity. Frameworks, strategies, data views, and use cases are presented to support the decision‐making process to face this biological natural disaster. The data‐driven approach supports several purposes, including the communication of social distancing indices, economic recovery, the progression of contagion, and deaths. It also played a pivotal role in fostering transparency initiatives for society and supporting the crisis committee by facilitating situational analyses, and this approach became standard practice for pandemic response. Studies and innovative visualisation perspectives have produced positive outcomes, guiding the decision‐making process through data analysis. Noteworthy use cases were interurban traffic fence monitoring; mapping of virus spreading; tracking the economic impact concerning recovery plans; and, evaluating the effectiveness of public policies.

Funder

National Council for Scientific and Technological Development

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Institution of Engineering and Technology (IET)

Reference34 articles.

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3. IBGE. Estimativas de População.Instituto Brasileiro de Geografia e Estatística(2023). Accessed in 22/06/2023.https://www.ibge.gov.br/estatisticas/sociais/populacao/9103‐estimativas‐de‐populacao.html

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