RESUMEN
In this paper, we propose a model named Virtual Doctor- Teleconsultation and Parameter Monitoring System' which provides some usefulness of providing medication and helps in gauging the essential parameters (Heart rate, Temperature and SpO2) and UVC (Ultraviolet sort C) sterilization unit for the sensors. During the ongoing situation, diminishing the human-to-human contact in emergency clinics is required. In a bid, to keep specialists and clinical staff from getting impacted by Coronavirus, the job of medication conveying robots are being developed. We can attain the Locomotion procedure of the robot using telegram bot and live video streaming by ESP32-Camera. The working principle is that the Doctor or the Nurse can control the moment of entire model by observing surroundings using a camera and commanding through a mobile application. For this model, we are utilizing the essential microcontroller, that is to say, Arduino UNO. We were effective in taking readings with the assistance of a sensors and had the option to supply capacity to the UVC light in which it cleaned the articles inside the unit when it was uncovered for 2-3 minutes. Lastly, the robot had the option to move effectively with the assistance of Arduino and Wi-Fi arrangement. All the data will be successfully sent to the Doctor's smartphone using Telegram application and NodeMCufor internet connectivity. © 2022 IEEE.
RESUMEN
Infectious disease surveillance is vitally important to maintaining health security, but these efforts are challenged by the pace at which new pathogens emerge. Wastewater surveillance can rapidly obtain population-level estimates of disease transmission, and we leverage freedom from disease principles to make use of nondetection of SARS-CoV-2 in wastewater to estimate the probability that a community is free from SARS-CoV-2 transmission. From wastewater surveillance of 24 treatment plants across upstate New York from May through December of 2020, trends in the intensity of SARS-CoV-2 in wastewater correlate with trends in COVID-19 incidence and test positivity (â´ > 0.5), with the greatest correlation observed for active cases and a 3-day lead time between wastewater sample date and clinical test date. No COVID-19 cases were reported 35% of the time the week of a nondetection of SARS-CoV-2 in wastewater. Compared to the United States Centers for Disease Control and Prevention levels of transmission risk, transmission risk was low (no community spared) 50% of the time following nondetection, and transmission risk was moderate or lower (low community spread) 92% of the time following nondetection. Wastewater surveillance can demonstrate the geographic extent of the transmission of emerging pathogens, confirming that transmission risk is either absent or low and alerting of an increase in transmission. If a statewide wastewater surveillance platform had been in place prior to the onset of the COVID-19 pandemic, policymakers would have been able to complement the representative nature of wastewater samples to individual testing, likely resulting in more precise public health interventions and policies.
RESUMEN
Abstract: Infectious disease surveillance is vitally important to maintaining health security, but these efforts are challenged by the pace at which new pathogens emerge. Wastewater surveillance can rapidly obtain population-level estimates of disease transmission, and we leverage freedom from disease principles to make use of non-detection of SARS-CoV-2 in wastewater to estimate the probability that a community is free from SARS-CoV-2 transmission. From wastewater surveillance of 24 treatment plants across upstate New York beginning in May 2020, we observed a reliable limit of detection of 0.3--0.5 cases per 10,000 population. No COVID-19 cases were reported 40% of the time following a non-detection of SARS-CoV-2 in wastewater, and cases were less than 1 daily case per 10,000 population 97% of the time following non-detection. Trends in the intensity of SARS-CoV-2 in wastewater correlate with trends in COVID-19 incidence and test positivity (>0.5), with the greatest correlation observed for active cases and a three-day lead time between wastewater sample date and clinical test date. Wastewater surveillance can cost-effectively demonstrate the geographic extent of the transmission of emerging pathogens, confirming that transmission is absent or under control and alerting of an increase in transmission. If a statewide wastewater surveillance platform had been in place prior to the onset of the COVID-19 pandemic, policymakers would have been able to complement the representative nature of wastewater samples to individual testing, likely resulting in more precise public health interventions and policies.