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Prediction of The New Coronavirus Spread and Infected People Numbers Based on Embedded Wearable Devices and Seir Models

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Covers are a well-known group of organisms infected with the disease caused by two people. A new type of COVID-19 is soon discovered in Wuhan, China. Even so, infections cause… Click to show full abstract

Covers are a well-known group of organisms infected with the disease caused by two people. A new type of COVID-19 is soon discovered in Wuhan, China. Even so, infections cause a pandemic, as indicated by the World Health Organization and are widespread throughout the world, as it can be slow. Also, these days, every country in the world is working hard to control COVID-19. There are many components to distinguish Covid, including pictures of clinical studies of chest CT and blood test results. Show patients confirmed to have a fever, stagnation, and dry COVID-19. In particular, several strategies can be used to distinguish the underlying squeal of infection, such as kits for clinical locations. Nevertheless, such gadgets have set aside some effort to introduce and use them, incurring huge costs. Another structure, COVID-19, for engineering and identification using mobile phone sensors along these lines of thought. This proposition can be easily placed because most radiologists only have various daily use needs for mobile phones. At the same standard, individuals will be able to use their mobile phones to infect the system for identification purposes. The phone is not reliable if the camera, receiver, temperature sensors, inertial sensors, gas-tight sensor, light-shielded sensor, existing computing rich processor, viscosity sensor and remote chipset/sensors, memory space, and huge sensors have a number. Planning Detection Combination Algorithm (DCA) structure carefully as expected of function, as a result of the infection, reads the mobile phone sensors' signs to estimate the severity of pneumonia.

Keywords: prediction new; infected people; spread infected; coronavirus spread; people numbers; new coronavirus

Journal Title: Microprocessors and Microsystems
Year Published: 2021

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