Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas

Abstract: Recently, Brazil has hosted mass events with recognized international relevance. The 2014 FIFA World Cup was held in 12 Brazilian state capitals and health sector preparedness drew on the history of other World Cups and Brazil's own experience with the 2013 FIFA Confederations Cup. Th...

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Main Authors: Carolina Figueiredo Freitas, Claudia Garcia Serpa Osorio-de-Castro, Kimberley Irene Shoaf, Raulino Sabino da Silva, Elaine Silva Miranda
Format: Article
Language:English
Published: Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz 2016-01-01
Series:Cadernos de Saúde Pública
Subjects:
Online Access:http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2016000705010&lng=en&tlng=en
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author Carolina Figueiredo Freitas
Claudia Garcia Serpa Osorio-de-Castro
Kimberley Irene Shoaf
Raulino Sabino da Silva
Elaine Silva Miranda
author_facet Carolina Figueiredo Freitas
Claudia Garcia Serpa Osorio-de-Castro
Kimberley Irene Shoaf
Raulino Sabino da Silva
Elaine Silva Miranda
author_sort Carolina Figueiredo Freitas
collection DOAJ
description Abstract: Recently, Brazil has hosted mass events with recognized international relevance. The 2014 FIFA World Cup was held in 12 Brazilian state capitals and health sector preparedness drew on the history of other World Cups and Brazil's own experience with the 2013 FIFA Confederations Cup. The current article aims to analyze the treatment capacity of hospital facilities in georeferenced areas for sports events in the 2016 Olympic Games in the city of Rio de Janeiro, based on a model built drawing on references from the literature. Source of data were Brazilian health databases and the Rio 2016 website. Sports venues for the Olympic Games and surrounding hospitals in a 10km radius were located by geoprocessing and designated a "health area" referring to the probable inflow of persons to be treated in case of hospital referral. Six different factors were used to calculate needs for surge and one was used to calculate needs in case of disasters (20/1,000). Hospital treatment capacity is defined by the coincidence of beds and life support equipment, namely the number of cardiac monitors (electrocardiographs) and ventilators in each hospital unit. Maracanã followed by the Olympic Stadium (Engenhão) and the Sambódromo would have the highest single demand for hospitalizations (1,572, 1,200 and 600, respectively). Hospital treatment capacity proved capable of accommodating surges, but insufficient in cases of mass casualties. In mass events most treatments involve easy clinical management, it is expected that the current capacity will not have negative consequences for participants.
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spelling doaj.art-5ddd9af7d27a4f6b95f9101bb52da9452022-12-22T03:11:02ZengEscola Nacional de Saúde Pública, Fundação Oswaldo CruzCadernos de Saúde Pública1678-44642016-01-0132710.1590/0102-311X00087116S0102-311X2016000705010Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areasCarolina Figueiredo FreitasClaudia Garcia Serpa Osorio-de-CastroKimberley Irene ShoafRaulino Sabino da SilvaElaine Silva MirandaAbstract: Recently, Brazil has hosted mass events with recognized international relevance. The 2014 FIFA World Cup was held in 12 Brazilian state capitals and health sector preparedness drew on the history of other World Cups and Brazil's own experience with the 2013 FIFA Confederations Cup. The current article aims to analyze the treatment capacity of hospital facilities in georeferenced areas for sports events in the 2016 Olympic Games in the city of Rio de Janeiro, based on a model built drawing on references from the literature. Source of data were Brazilian health databases and the Rio 2016 website. Sports venues for the Olympic Games and surrounding hospitals in a 10km radius were located by geoprocessing and designated a "health area" referring to the probable inflow of persons to be treated in case of hospital referral. Six different factors were used to calculate needs for surge and one was used to calculate needs in case of disasters (20/1,000). Hospital treatment capacity is defined by the coincidence of beds and life support equipment, namely the number of cardiac monitors (electrocardiographs) and ventilators in each hospital unit. Maracanã followed by the Olympic Stadium (Engenhão) and the Sambódromo would have the highest single demand for hospitalizations (1,572, 1,200 and 600, respectively). Hospital treatment capacity proved capable of accommodating surges, but insufficient in cases of mass casualties. In mass events most treatments involve easy clinical management, it is expected that the current capacity will not have negative consequences for participants.http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2016000705010&lng=en&tlng=enIncidentes con Víctimas en MasaPrestación de Atención de SaludHospitalesUbicaciones Geográficas
spellingShingle Carolina Figueiredo Freitas
Claudia Garcia Serpa Osorio-de-Castro
Kimberley Irene Shoaf
Raulino Sabino da Silva
Elaine Silva Miranda
Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas
Cadernos de Saúde Pública
Incidentes con Víctimas en Masa
Prestación de Atención de Salud
Hospitales
Ubicaciones Geográficas
title Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas
title_full Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas
title_fullStr Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas
title_full_unstemmed Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas
title_short Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas
title_sort preparedness for the rio 2016 olympic games hospital treatment capacity in georeferenced areas
topic Incidentes con Víctimas en Masa
Prestación de Atención de Salud
Hospitales
Ubicaciones Geográficas
url http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2016000705010&lng=en&tlng=en
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