Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.5334/aogh.3025

http://scihub22266oqcxt.onion/10.5334/aogh.3025
suck pdf from google scholar
32864352!7427679!32864352
unlimited free pdf from europmc32864352    free
PDF from PMC    free
html from PMC    free

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32864352&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi

pmid32864352      Ann+Glob+Health 2020 ; 86 (1): 100
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • COVID-19 - The Availability of ICU Beds in Brazil during the Onset of Pandemic #MMPMID32864352
  • Palamim CVC; Marson FAL
  • Ann Glob Health 2020[Aug]; 86 (1): 100 PMID32864352show ga
  • BACKGROUND: Brazil faces some challenges in the battle against the COVID-19 pandemic, including: the risks for cross-infection (community infection) increase in densely populated areas; low access to health services in areas where the number of beds in intensive care units (ICUs) is scarce and poorly distributed, mainly in states with low population density. OBJECTIVE: To describe and intercorrelate epidemiology and geographic data from Brazil about the number of intensive care unit (ICU) beds at the onset of COVID-19 pandemic. METHODS: The epidemiology and geographic data were correlated with the distribution of ICU beds (public and private health systems) and the number of beneficiaries of private health insurance using Pearson's Correlation Coefficient. The same data were correlated using partial correlation controlled by gross domestic product (GDP) and number of beneficiaries of private health insurance. FINDINGS: Brazil has a large geographical area and diverse demographic and economic aspects. This diversity is also present in the states and the Federal District regarding the number of COVID-19 cases, deaths and case fatality rate. The effective management of severe COVID-19 patients requires ICU services, and the scenario was also dissimilar as for ICU beds and ICU beds/10,000 inhabitants for the public (SUS) and private health systems mainly at the onset of COVID-19 pandemic. The distribution of ICUs was uneven between public and private services, and most patients rely on SUS, which had the lowest number of ICU beds. In only a few states, the number of ICU beds at SUS was above 1 to 3 by 10,000 inhabitants, which is the number recommended by the World Health Organization (WHO). CONCLUSIONS: Brazil needed to improve the number of ICU beds units to deal with COVID-19 pandemic, mainly for the SUS showing a late involvement of government and health authorities to deal with the COVID-19 pandemic.
  • |*Coronavirus Infections/epidemiology/prevention & control/therapy[MESH]
  • |*Pandemics/prevention & control[MESH]
  • |*Patient Care Management/organization & administration/standards[MESH]
  • |*Pneumonia, Viral/epidemiology/prevention & control/therapy[MESH]
  • |Bed Occupancy/statistics & numerical data[MESH]
  • |Betacoronavirus[MESH]
  • |Brazil/epidemiology[MESH]
  • |COVID-19[MESH]
  • |Health Services Accessibility/*organization & administration[MESH]
  • |Health Services Needs and Demand[MESH]
  • |Humans[MESH]
  • |Infection Control/organization & administration/standards[MESH]
  • |Intensive Care Units/*supply & distribution[MESH]
  • |Organizational Innovation[MESH]
  • |Private Sector/*statistics & numerical data[MESH]
  • |Public Sector/*statistics & numerical data[MESH]
  • |SARS-CoV-2[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box