- COVID-19 epidemiological studies
- Mosquito-borne diseases and control
- COVID-19 Pandemic Impacts
- SARS-CoV-2 and COVID-19 Research
- Animal Virus Infections Studies
- Heart Failure Treatment and Management
- Pharmaceutical Practices and Patient Outcomes
- Health Systems, Economic Evaluations, Quality of Life
- Chronic Disease Management Strategies
- Influenza Virus Research Studies
- Carbohydrate Chemistry and Synthesis
- Analytical Chemistry and Sensors
- Microbial Natural Products and Biosynthesis
- COVID-19 and Mental Health
- Cancer Research and Treatment
- Spectroscopy Techniques in Biomedical and Chemical Research
- Machine Learning in Bioinformatics
- Hemodynamic Monitoring and Therapy
- Protein Structure and Dynamics
- Insect Resistance and Genetics
- Artificial Intelligence in Healthcare
- Transgenic Plants and Applications
- Pharmacy and Medical Practices
- Viral Infections and Vectors
- Bacteriophages and microbial interactions
Nirma (India)
2020
Thomas Jefferson University Hospital
2014
Glycemic control in the ICU has been shown to reduce morbidity, mortality and length of stay. However, current methods blood glucose (BG) monitoring are invasive, intermittent laborintensive. Continuous (CGM) potential improve safety/efficacy BG control. The performance a non- transdermal CGM system (Symphony CGM; Echo Therapeutics, Philadelphia, PA, USA) was evaluated post-surgical patients.
Objective: To compare the impact of lockdown in Maharashtra, Kerala and United States. Methodology: We conducted a prospective observational study order to assess between Kerala, Maharashtra States (US). The involved collection data from two phases. first phase is time index case reported each country till 14th day after declaration that country. second collected 15th 28th lockdown. Data storage analysis were performed using Microsoft excel SPSS version 24. Result: As per 21st April, 426...
Background The novel coronavirus disease (COVID-19) has been recognized as a global threat, and several studies are being conducted using various mathematical models to predict the probable evolution of this epidemic, which subject potential bias. In study, we aimed assess compare impact lockdown among Punjab, Delhi, Gujarat states India Auto Regressive Integrated Moving Average (ARIMA) model by comparing forecasted COVID-19 data with real-time data. Methods We analyzed Indian from index...
: Objectives: To compare patient health outcomes like mortality and rehospitalisation among heart failure patients receiving focussed care under HF clinics those usual regular cardiac outpatient department. Methods: A total of 200 who consulted in Heart Failure clinic general cardiology department during the year 2017 satisfied inclusion exclusion criteria were selected for study. The study was carried out a tertiary Interventional Cardiology Cardiac Surgery hospital with dedicated well...
Background: Novel coronavirus disease COVID-19 has been recognized as a global threat, and several studies are being conducted using various mathematical models to predict the probable evolution of this epidemic which subject potential bias. In study we aimed assess compare impact lockdown between Punjab, Delhi Gujarat states India Auto Regressive Integrated Moving Average (ARIMA) model by comparing forecasted data with real time data. Methods: We analyzed Indian from index case till 17th...