ABSTRACT
Background: The bulk of oxygen in blood is normally transported as oxyhemoglobin. The amount of oxyhemoglobin is often expressed as percentage saturation (Spo2). Objective(s): Oxygen saturation is one of the vitals monitored in clinical practice and also the most important vital monitored in COVID-19patients since it's the oxygen saturation which gets depleted in these patients. COVID pandemic has taken heavy toll on health and life of the people and since different people respond to COVID-19 differently so the response is multifactorial. The exposure to lower oxygen levels may have important clinical consequences, particularly in physiologic processes like respiratory drive, which are dependent on PO2 in the blood. Hence our aim is to study the effect of BMI and Hb on oxygen saturation (SPO2). Method(s): A descriptive cross-sectional study was conducted in Department of Physiology, SKIMS-Medical College. Data was collected by using self-administered questionnaire followed by anthropometric measurement. Body Mass Index (BMI) by Quetelet's index and Haemoglobin (Hb) concentrations by Sahli's method were assessed. Pulse oximetry was done to know the oxygen saturation. Result(s): The students with high BMI show negative correlation with oxygen saturation while as Hb with oxygen saturation shows positive correlation. These results have important clinical implications while treating patients with high BMI or low Hb. Copyright © 2023, Institute of Medico-legal Publication. All rights reserved.
ABSTRACT
This letter reports uncertainties in the Aqua-Moderate Resolution Imaging Spectroradiometer (MODIS) Level 2 dark target (DT), deep blue (DB), and multiangle implementation of atmospheric correction (MAIAC) aerosol optical depth (AOD) during the COVID-19 lockdown period (February-May 2020) compared to the pre-COVID-19 period (February-May 2019). Validation of AOD retrievals was conducted against AErosol RObotic NETwork (AERONET) Version 3 Level 1.5 AOD data obtained from three sites located in urban (Beijing_CAMS and Beijing_RADI) and suburban (XiangHe) areas of China. The results show the poor performance of the DT and DB algorithms compared to the MAIAC algorithm, which performed better during the lockdown period. Overall, all MODIS algorithms overestimated the AOD and showed higher positive bias under high aerosol loading conditions during lockdown than during prelockdown. This is mainly attributed to the overestimation of the aerosol single-scattering albedo (SSA), which was found higher during lockdown than during the same period in 2019. IEEE
ABSTRACT
The coronaviruses are responsible for a variety of conditions like severe acute respiratory syndrome, common cold, and Middle East Respiratory Syndrome. Recently a new corona virus that was named later as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was responsible for an outbreak that happened in Wuhan, China. The disease that the virus causes has been named as Coronavirus Disease 2019 (COVID-19) which has been declared by the world health organization as a global pandemic later in March 2020. The COVID-19 crisis is having an unprecedented impact on global economies, businesses and workers. Migrant workers are mostly from rural areas but live most of the year in cities for work. Many have no savings and lived-in factory dormitories, which were shut due to the lockdown. Indian migrant workers during the COVID-19 pandemic have faced multiple hardships. With factories and workplaces shut down due to the lockdown imposed in the country, millions of migrant workers had to deal with the loss of income, food shortages, and uncertainty about their future. Following this, many of them and their families went hungry. Thousands of them began walking back home, with no means of transport due to the lockdown. In response, the Central and State Governments took various measures to help them, and later arranged transport for them. With public health catastrophe unfolding because of the disease as well as economy, the need of the hour is to include all migrant workers in government initiatives and provide equitable access to treatment, detection and treatment measures besides economic and vocational assistance.