Capacidade do sistema de saúde nos municípios do Rio de Janeiro

Infraestrutura para enfrentar a Covid-19

Bibliographic Data

ID21382159
AuthorsGiuliano Alves Borges E Silva (0000-0003-4842-7348, Universidade Federal Fluminense), Ernani Viana Saraiva (0000-0001-7548-6330, Universidade Federal Fluminense), Guilherme José Santos Nunes Ferreira (0000-0003-2005-1385, Universidade Federal Fluminense), Rogério de Mesquita Peixoto Junior (0000-0002-9459-2988, Universidade Federal Fluminense), Luiz Felipe Ferreira (0000-0002-2045-6107, Universidade Federal Fluminense)
Year2020
Volume54
Issue4
Pages578-594
Publication date2020-08-01
Open AccessYes
TypeARTICLE
VenueRevista de Administração Pública (JOURNAL)
Journal identifiersISSN: 0034-7612 • E-ISSN: 1982-3134
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0034-761220200128
OpenAlexW3092348994
LanguagePT
References cited10

Considering the growing number of cases requiring emergency care as a result of SARS-CoV-2 in the Brazilian State of Rio de Janeiro, this study focuses on mapping the health infrastructure of the municipalities of the state, comparing the Structure Efficiency Index (IEE) before (2016) and after the COVID-19 pandemic. The article fills a gap in the academic literature, informing public health policies specialists and technicians, as well as policy and decision-makers, about the capacity of municipalities to face the problem. We calculated the Structure Efficiency Index (IEE) of the states’ 92 municipalities and positioned them on the pandemic curve. It was possible to verify that the government of the State of Rio de Janeiro needs to start acting to suppress COVID-19, maintaining the policy of providing more hospital beds, and purchasing equipment. However, it is also necessary to consider the particularities and deficiencies of each region, as the policy to transfer patients to places with available beds can contribute to the spread of the disease

Business · Coronavirus disease 2019 (COVID-19) · Disease · Economic growth · Economics · Geography · Government (linguistics) · Index (typography) · Pandemic · Political science · Public policy · State (computer science) · Welfare economics · Computer Science · COVID-19 epidemiological studies · Health, Nursing, Elderly Care · Healthcare Systems and Reforms · Medicine

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Open DOIOpen Access