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Introduction: Obesity is acknowledged to be a significant risk factor for mortality in patients with COVID-19. At primary healthcare center, early stratification of high-risk patients is critical in order to provide effective management. There is limited research available in Vietnam concerning the relationship between obesity as defined by Asian- standards and pulmonary damage. Our goal was to find the correlation between the obesity status index by Asian-standardized BMI and the severity of lung injury on chest radiographs patients with COVID-19 in the Vietnamese field hospital. Methods: A total of 279 confirmed COVID-19 patients (118 males and 161 females) patients were recruited in our study. Two internal medicine physicians independently evaluated chest X-rays using the Brixia score system to assess the severity of lung disease, then agreed. The probability of Brixia scores per chest X-ray film was modeled using Poisson regression with gender and Asian-standardized BMI as predictors. Results: The study revealed that the median age of our study was 59 years, and the mean BMI was 24.6 ± 3.4 kg/m2. The Pearson correlation between the Brixia score and the BMI was 0.25 with a p-value < 0.05. Both men and women showed that the obese group had the highest Brixia scores. There was a statistically significant difference between Brixia scores of male patients between the normal and obese groups (p-value =0.0446). Poisson regression showed that as the BMI increased, the probability of a higher Brixia score also increased. Conclusions: According to the findings, the higher the BMI value of a patient, the higher the Brixia score for chest X-rays. This result was recorded in both genders, but more significantly in men.

This paper concerned with the development and implementation of smart street lighting control system based using Led lamp and Lora Wireless communication. Smart street lamps have been developed for over several years. These technologies have played an important role in urban safety, energy conservation. Currently, a traditional street lights are automatically turn on or off based on timer or day/night sensor. LEDs are now the standard replacement for legacy lighting in most cities around the world. At the same time, smart controls are becoming more mainstream and are increasingly installed alongside LED deployments. Recently, the conventional light sources are replaced by Led, which have so many advantages such as: energy savings, long lifetime, high reliability, pure light color, fast response, and friendliness to the environment. Furthermore, the intensity of the LED can be controlled easily. In this paper, the smart lighting system is designed to control and monitor devices via wireless transmission frequencies below 1 GHz. The system will include many types of devices connected to each other by a gateway. The transmit distance is about 2km in the urban area and up to 5km in rural area. The proposed smart street public lighting provides some advantages features such as: Automatic mode, Remote control mode, Connection disconnection mode, Manual direct operation mode. The smart lighting system has been built at Ho Chi Minh City University of Technology to meet the standards for data transmission. And some experimental resutls are provided to show the effectiveness of the porposed system.