Derramamento de óleo bruto na costa brasileira em 2019

Emergência Em Saúde Pública Em Questão

Bibliographic Data

ID5166152
AuthorsPaulo Gilvane Lopes Pena (0000-0001-9653-5509, Universidade Federal da Bahia), Amanda Laura Northcro (0000-0001-6929-6792, University of North Carolina at Chapel Hill), Monica Angelim Gomes De Lima (0000-0003-3364-8439, Universidade Federal da Bahia), Rita De Cássia Franco Rêgo (0000-0002-0632-4546, Universidade Federal da Bahia)
Year2020
Volume36
Issue2
Pagese00231019-e00231019
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311x00231019
PMID32022177
OpenAlexW3004381217
SCIELO_PIDS0102-311X2020000200501
LanguagePT
Citations received18
References cited13

A crude oil spill was first identified on the Brazilian coast on August 30, 2019, and has reached 4,334 km of coastline in 11 states of the Northeast and Southeast, with 120 municipalities (counties) and 724 locations, as of November 22, 2019 1 . The disaster is considered the worst oil spill in Brazil's history and one of the largest on record in the world. The sequence of the phenomena cannot be attributed to chance, rather expressing probabilities that increase as a function of an unsustainable development model, environmental crisis, institutional unpreparedness for the prevention of expanded social and technical events, with obsolete legal frameworks that rarely punish the large conglomerates responsible for them, and discriminatory policies against vulnerable populations, among other weaknesses 2 . The scale of the government's response, particularly that of the health sector, must be assessed in order to minimize the population's health problems and organize effective responses, given the potential occurrence of similar phenomena

Cartography · Environmental disaster · Environmental protection · Geography · Government (linguistics) · Oil spill · Population · Scale (ratio) · Socioeconomics · Sociology · Tailings · Demography · Oil Spill Detection and Mitigation · Risk and Safety Analysis · Tailings Management and Properties