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10.1590/0037-8682-0354-2020 http://scihub22266oqcxt.onion/10.1590/0037-8682-0354-2020 32638888!7341828!32638888     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Rev+Soc+Bras+Med+Trop 2020 ; 53 (ä): e20200354 Nephropedia Template TP {{tp|p=32638888|t=2020. Health system collapse 45 days after the detection of COVID-19 in Ceara, Northeast Brazil: a preliminary analysis |pdf=|usr=}}{{32638888}} gab.com Text Health system collapse 45 days after the detection of COVID-19 in Ceara, Northeast Brazil: a preliminary analysis JO: Rev Soc Bras Med Trop http://www.kidney.de/pget.php?&tw=1&pmid=32638888 #FOAvip INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceara, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceara's municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceara, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceara revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed. Twit Text FOAVip Health system collapse 45 days after the detection of COVID-19 in Ceara, Northeast Brazil: a preliminary analysis ????Rev Soc Bras Med Trop http://www.kidney.de/pget.php?&tw=1&pmid=32638888 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32638888 #FOAvip English Wikipedia <ref>{{Cite pmid|32638888}}</ref> Health system collapse 45 days after the detection of COVID-19 in Ceara, Northeast Brazil: a preliminary analysis #MMPMID32638888 Lemos DRQ; D'Angelo SM; Farias LABG; Almeida MM; Gomes RG; Pinto GP; Cavalcante Filho JN; Feijao LX; Cardoso ARP; Lima TBR; Linhares PMC; Mello LP; Coelho TM; Cavalcanti LPG Rev Soc Bras Med Trop 2020[]; 53 (ä): e20200354 PMID32638888show ga INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceara, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceara's municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceara, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceara revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed. |*Betacoronavirus[MESH] |Adolescent[MESH] |Adult[MESH] |Age Distribution[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Bed Occupancy/*statistics & numerical data[MESH] |Brazil/epidemiology[MESH] |COVID-19[MESH] |Child[MESH] |Child, Preschool[MESH] |Coronavirus Infections/*epidemiology/mortality[MESH] |Data Analysis[MESH] |Female[MESH] |Health Care Surveys/statistics & numerical data[MESH] |Health Services Needs and Demand/*statistics & numerical data[MESH] |Hospital Units/statistics & numerical data[MESH] |Humans[MESH] |Infant[MESH] |Intensive Care Units/statistics & numerical data[MESH] |Length of Stay/statistics & numerical data[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/mortality[MESH] |SARS-CoV-2[MESH] |Sex Distribution[MESH] |Time Factors[MESH]Health system collapse 45 days after the detection of COVID-19 in Cear(epmc).pdf DeepDyve Pubget Overpricing