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Bayesian Analysis of the Disaster Damage in Brazil

In: Towards Mathematics, Computers and Environment: A Disasters Perspective

Author

Listed:
  • Camila Bertini Martins

    (Federal University of São Paulo, Paulista School of Medicine, Department of Preventive Medicine)

  • Viviana Aguilar Muñoz

    (National Centre for Monitoring and Early Warnings of Natural Disasters (CEMADEN))

  • André Yoshizumi Gomes

    (Serasa Experian, Decision Analytics)

  • Ricardo Manhães Savii

    (Federal University of São Paulo, Institute of Science and Technology)

  • Carolina Locatelli Colla

    (Federal University of São Paulo, Institute of Science and Technology)

Abstract

Statistical modeling is a useful methodology to support the research on disaster risk reduction (DRR) and the development of strategies for sustainability. It has been established in at least two of the major United Nations Conferences and Summits which have laid the solid foundation for sustainable development: The 2030 Agenda and the Sendai Framework. International standards also indicate various statistical techniques and tools to support risk management, especially at the risk assessment process. The main goal of this chapter is to present the Bayesian inference framework as a promising tool for risk identification process in the context of DRR. For such, it was used the data collected from the S2ID Brazilian database, period 2003–2016. Considering the geographical complexity, this is only a diagnostic research, but it is a first step and a very interesting beginning because Brazilian complexity is a prominent condition to understand risks and disasters deep causes in this country, and an opportunity to strengthen mathematical and statistical solutions to sustainable development challenges.

Suggested Citation

  • Camila Bertini Martins & Viviana Aguilar Muñoz & André Yoshizumi Gomes & Ricardo Manhães Savii & Carolina Locatelli Colla, 2019. "Bayesian Analysis of the Disaster Damage in Brazil," Springer Books, in: Leonardo Bacelar Lima Santos & Rogério Galante Negri & Tiago José de Carvalho (ed.), Towards Mathematics, Computers and Environment: A Disasters Perspective, pages 163-183, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-21205-6_9
    DOI: 10.1007/978-3-030-21205-6_9
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