0000000000628877

AUTHOR

Fernando Augusto Bozza

0000-0003-4878-0256

showing 3 related works from this author

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

2022

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing como…

EğitimSocial Sciences and HumanitiesInformation Security and ReliabilitySocial Sciences (SOC)Sosyal Bilimler ve Beşeri BilimlerEpidemiologyEDUCATION & EDUCATIONAL RESEARCHTemel Bilimler (SCI)BİLGİSAYAR BİLİMİ BİLGİ SİSTEMLERİMATHEMATICSSociology[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesProspective StudiesCOMPUTER SCIENCE INFORMATION SYSTEMSSTATISTICS & PROBABILITYMatematikBilgisayar Bilimi UygulamalarıComputer SciencesBilgi Güvenliği ve GüvenilirliğiEĞİTİM VE EĞİTİM ARAŞTIRMASIBİLGİ BİLİMİ VE KÜTÜPHANE BİLİMİBilgi sistemiComputer Science ApplicationsKütüphane ve Bilgi BilimleriHospitalizationNatural Sciences (SCI)Physical SciencesEngineering and TechnologySosyal Bilimler (SOC)Bilgisayar BilimiStatistics Probability and UncertaintyInformation SystemsHumanStatistics and ProbabilityHumans; Pandemics; Prospective Studies; SARS-CoV-2; COVID-19; HospitalizationSOCIAL SCIENCES GENERALLibrary and Information SciencesEducationSDG 3 - Good Health and Well-beingLibrary SciencesINFORMATION SCIENCE & LIBRARY SCIENCEİstatistik ve OlasılıkHumansSosyal ve Beşeri BilimlerBilgisayar BilimleriSocial Sciences & HumanitiesEngineering Computing & Technology (ENG)SosyolojiPandemicsPandemicSARS-CoV-2İSTATİSTİK & OLASILIKCOVID-19Mühendislik Bilişim ve Teknoloji (ENG)İstatistik Olasılık ve BelirsizlikSosyal Bilimler GenelCOMPUTER SCIENCEProspective StudieFizik BilimleriViral infectionMühendislik ve TeknolojiKütüphanecilik
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Association of country income level with the characteristics and outcomes of critically ill patients hospitalized with acute kidney injury and COVID-…

2023

Introduction Acute kidney injury (AKI) has been identified as one of the most common and significant problems in hospitalized patients with COVID-19. However, studies examining the relationship between COVID-19 and AKI in low- and low-middle income countries (LLMIC) are lacking. Given that AKI is known to carry a higher mortality rate in these countries, it is important to understand differences in this population. Methods This prospective, observational study examines the AKI incidence and characteristics of 32,210 patients with COVID-19 from 49 countries across all income levels who were admitted to an intensive care unit during their hospital stay. Results Among patients with COVID-19 ad…

acute kidney injurycovid-19NephrologyKidney International Reports
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The value of open-source clinical science in pandemic response

2021

International audience

Biomedical Research[SDV]Life Sciences [q-bio]Clinical scienceGlobal HealthCorrectionsMicrobiology1117 Public Health and Health Services1108 Medical MicrobiologyPandemicEconomicsHumansISARIC Clinical Characterisation GroupPandemicsCOVID-19/epidemiologyActuarial scienceInformation DisseminationSARS-CoV-2CommentISARICCOVID-191103 Clinical SciencesCommunicable Disease Control/methodsInfectious DiseasesOpen sourceCommunicable Disease ControlCOVID-19; Communicable Disease Control; Global Health; Humans; SARS-CoV-2; Biomedical Research; Information Dissemination; PandemicsValue (mathematics)HumanThe Lancet Infectious Diseases
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