RESUMEN
Health monitoring systems are rapidly growing in recent times, Continuous monitoring of the patients is one of the big challenges for hospitals. Smart systems have been established to track the patient present health status;we focus on monitoring the patient's blood pressure, body temperature, Heart rate. In this project we use Arduino Mega 2560 which is a microcontroller board based on the ATmega2560 comments. In this paper, Embedded C language by using Arduino is used to obtain the sensor values. IOT data cloud is used in this project. IOT is used in healthcare system to track the patients' health condition as a monitoring device. Cloud computing develops as a platform for IoT data storage, processing and analytics because of its simplicity, expandability and affordability. Transmit sensor values to Arduino and it sends to GSM and WIFI module to monitor the parameters of the patients. In this project the notifications of patient's health status are sent to the caretaker and nurse, simultaneously it is updated in webpages also for the doctor's reference. Taking in account, COVID 19 Pandemic is highly infectious and spreadable disease, so to maintain the social distance, this monitoring system is needed. It reduces the need for face-to-face appointments with doctors in hospital. ECG sensor is also used to decide the heart activity of the patients. This project aims for the patients who are in continuous monitoring and bedridden. The GSM and IOT technologies give the architecture for healthcare in this project. © 2023 Author(s).
RESUMEN
COVID-2019 has been declared a Public Health Emergency of International Concern (PHEIC) by the World Health Organization due to the global spread of 2019-nCOV at an exponential rate (WHO). Scientists have hypothesized the reduction in transmission rate at warm and humid environment whereas facilitate rapid transmission at cold and dry environment. Hence in this work, we examine the combined impact of environmental and demographic factors along with the implementation of lockdown by the Government of India on the transmission rate of 2019-nCoV. Our analyses indicated a lower mortality rate in spite of higher population density in India compared to other countries and lower exponential growth factor after lockdown compared to before lockdown. The containment of transmission and mortality rate may be attributed to the favorable environment and median population age, respectively. Even though, to significantly reduce the outbreak, individuals, the media, and healthcare organizations are necessary to work together. © 2023 Author(s).