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What Lies Behind the Acute Crises: The Social and Infrasystems Links with Disasters in Brazil

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In recent years, Brazilian municipalities have had to deal with increasing numbers of crises, such as disasters. Infrastructural systems (infrasystems) play a critical role in determining the social and physical extents of a crisis. They are linked to the institutional view adopted in crisis prevention and response and may serve to weaken citizenship rights in the country. In this context, this chapter highlights two features of the spatiotemporal dynamics of systemic crises in Brazilian municipalities from 2003 to 2018. First, we identify the social, health and infrastructural implications from the frequent occurrence of disasters in Brazil. Second, we use correlation and causal inference methods to assess the links between the number of emergency state decrees and socioeconomic, sociospatial, health or infrastructure variables. To assess the temporal causal relation between emergency and three variables (Gross Domestic Product, tax revenue and waterborne disease cases), we draw on methods from information theory (mutual information, causal mutual information and transfer entropy). We find that the frequency of emergency decrees issued by public administrations can be associated with socioeconomic variables.

Original languageEnglish
Title of host publicationSustainable Development Goals Series
PublisherSpringer
Chapter3
Pages35-52
Number of pages18
ISBN (Electronic)2523-3092
ISBN (Print)2523-3084
DOIs
Publication statusPublished - 19 Apr 2022

Publication series

NameSustainable Development Goals Series
VolumePart F2710
ISSN (Print)2523-3084
ISSN (Electronic)2523-3092

Bibliographical note

The authors thank the editors Deljana Iossifova, Alexandros Gasparatos, Stylianos Zavos, Yahya Gamal, and Yin Long for the invitation as well as the reviewers for the valuable comments and suggestions.

Funding

N.V. acknowledges a FAPESP grant #17/17224-0 and a CNPq Research Productivity fellowship #310976/2017-0 and #315237/2020-1. A.V. is supported by a FAPESP grant #2018/09900-8 and acknowledges his contributions to this work as part of the activities of the FAPESP Research Innovation and Dissemination Centre for Neuromathematics (grant #2013/07699-0, São Paulo Research Foundation). A.V. acknowledges a previous CNPq support (grant #206246/2014-5) which enabled the development of computational tools here applied to a new case study. N.V. and M.S.B. acknowledge the Royal Society grant #CHL-R1-180122.

FundersFunder number
Fundação de Amparo à Pesquisa do Estado de São Paulo17/17224-0, 2018/09900-8, 2013/07699-0
Conselho Nacional de Desenvolvimento Científico e Tecnológico310976/2017-0, 315237/2020-1, 206246/2014-5
The Royal Society CHL-R1-180122

    Keywords

    • Brazil
    • Causal relation
    • Crisis
    • Crisis prevention
    • Disaster
    • Dispositif
    • Emergency decree
    • GDP
    • Information theory
    • Infrastructural systems
    • Infrasystems
    • Interlinkages
    • Modernisation
    • Tax revenue
    • Waterborne disease

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