International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
COVID19 ANALYZER Yadav Shiykhar1, Yash Raj Singh Bisht2, Vaibhav Rastogi3 , Monika Rani4 1,2,3,4Dept.
of Computer Science and Engineering, Krishna Engineering College, Ghaziabad, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In 2019, COVID-19 immediately spread across
disease caused by the lethal virus has been discovered, and social separation has been discovered to be a promising strategy to stop the disease's progress. As a result, most countries ordered state-wide lockdowns in order to halt the spread of the disease. However, it was discovered that 42% of the population was unaware of the pandemic, and the lockdown created a massive economic disruption. In the world, difficulties in precise data collection and analysis have made it difficult to estimate the disease's impact. Variable testing, inconsistent reporting, data sharing hurdles, and a lack of simple analytic tools have all led to a lack of clarity in defining and trending the pandemic's status. As a result, policymakers at all levels have been compelled to make major socio-economic decisions in the face of considerable uncertainty. To address this problem a new interactive visualization application COVID19 Analyzer is created that depicts daily disease trends in India to improve the accessibility of basic COVID-19 related information, especially for the general public and policymakers without a data science background.
the world, tainting billions of individuals and disturbing the ordinary existence of residents in each country. States, associations, and examination organizations all around the world are devoting tremendous assets to explore compelling methodologies to battle this quickly spreading infection. With infection testing, most nations distribute the quantity of affirmed cases, dead cases, recuperated cases, and areas regularly through different channels and structures. This significant information source has empowered specialists worldwide to perform distinctive COVID-19 logical investigations like displaying this present infection spreading designs, creating avoidance systems, and concentrating on the effect of COVID-19 on different parts of society. However, one significant problem is that there is no normalized, refreshed, and great information item that covers COVID-19 cases information universally. This is on the grounds that various nations many distribute their information through novel channels and at various time spans which hinders individuals from getting vital information all together at one place. Although existing solutions such as, Aarogya setu and Mahindra Ecole Centrale Covid-19 tracker are broadly utilized, it is hard for clients to get to every one of the information and redo that information as per their necessities. To address this challenge, COVID19 Analyzer is created using HTML, CSS, JAVASCRIPT, REACT. This application depicts daily disease trends in India to improve the accessibility of basic COVID-19 related information around the world, especially for the general public and policymakers without a data science background. This application can be further extended to fulfil other purposes with its open-source nature.
For certain entertainers, similar to huge government establishments and others have sent off various portable applications that give important data to people in general with regards to the pandemic circumstance such as the number of confirmed cases, the number of recovered occasions, the number of deaths to date, and so on. These organizations have limited themselves to certain extent by not providing information about symptoms and essential services like free beds in the hospitals and free food services provided by the Government. 1.1 Literature Survey
Key Words: REQUEST, REPLY, DOM, REDUX, PROPS, COMPONENTS, HOOKS
In the wake of the pandemic, government agencies and others have introduced a number of applications that provide important information about the pandemic, such as the number of cases confirmed, the number of cases recovered, the number of deaths so far, and so on. The authors of this study are limited to analysing existing applications in India but our analyst provides relevant information about the world.
1. INTRODUCTION In December 2019, a small incidence of pneumonia was reported in Wuhan, China, due to unclear causes. Serious acute respiratory syndrome coronavirus was the disease's original name (SARS-COV-2). The World Health Organization later confirms Corona Virus Disease 19 (COVID-19), which is caused by a novel coronavirus, and declares COVID-19 a Public Health Emergency of International Concern (PHEIC). This ongoing pneumonia outbreak, which has claimed the lives of over 58,90,000 people worldwide, was quickly recognized as the result of a new coronavirus. More than 42,40,00,000 confirmed COVID-19 cases have been detected in INDIA as of February 20, 2022. Since then, no cure for the
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APOLLO, one of India's largest medical conferences, has created a scanner to assess the risk of COVID-19 outbreaks in INDIA, called "covid.apollo247." The tag line of this risk assessment scanner reads "Stay calm amidst the current paranoia around COVID-19," and has been successful in reaching a large portion of the population during the outbreak. By using machine learning methods, the solution
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