A5038661943- COVID-19 Clinical Research Studies
- Respiratory Support and Mechanisms
- SARS-CoV-2 and COVID-19 Research
- Long-Term Effects of COVID-19
- Sepsis Diagnosis and Treatment
- Intensive Care Unit Cognitive Disorders
- SARS-CoV-2 detection and testing
- COVID-19 and healthcare impacts
- COVID-19 and Mental Health
- Cardiac Structural Anomalies and Repair
- Mechanical Circulatory Support Devices
- Venous Thromboembolism Diagnosis and Management
- Infectious Diseases and Tuberculosis
- Blood Coagulation and Thrombosis Mechanisms
- Clinical Reasoning and Diagnostic Skills
- Climate Change and Health Impacts
- Cardiac, Anesthesia and Surgical Outcomes
- Ultrasound in Clinical Applications
- Cardiac Arrest and Resuscitation
- Viral Infections and Outbreaks Research
- Bone and Joint Diseases
- Cerebral Venous Sinus Thrombosis
- Machine Learning in Healthcare
- Neurological Complications and Syndromes
- Family and Patient Care in Intensive Care Units
Manipal Hospital
2021-2024
Whilst timely clinical characterisation of infections caused by novel SARS-CoV-2 variants is necessary for evidence-based policy response, individual-level data on infecting are typically only available a minority patients and settings. Here, we propose an innovative approach to study changes in COVID-19 hospital presentation outcomes after the Omicron variant emergence using publicly population-level relative frequency infer likely responsible cases. We apply this method collected large...
and extend to burning uncontrolled incineration processes.The prevalence of "single-use plastic" has surged, comprising 35-40% plastic production.Globally, production contributes 3.7% greenhouse gas emissions, a figure projected increase 4.5% by 2,060 without intervention mitigate usage. 3 Impact Healthcare on the EnvironmentHealthcare systems contribute 1-5% world's carbon footprints, 4 with ICU being significant contributor within this sector.A study conducted in ICUs Australia United...
Abstract Background Whilst timely clinical characterisation of infections caused by novel SARS-CoV-2 variants is necessary for evidence-based policy response, individual-level data on infecting are typically only available a minority patients and settings. Methods Here, we propose an innovative approach to study changes in COVID-19 hospital presentation outcomes after the Omicron variant emergence using publicly population-level relative frequency infer likely responsible cases. We apply...