Your browser doesn't support javascript.
Knowledge and Awareness of COVID-19 in Uttar Pradesh: An Exploratory Data Analysis
Journal of Reliability and Statistical Studies ; 15(2):535-552, 2022.
Article Dans Anglais | Web of Science | ID: covidwho-2033429
ABSTRACT
Corona viruses, commonly called COVID-19, are a large family of viruses that can cause diseases ranging from the common cold to Severe Acute Respiratory Syndrome (SARS). Worldwide Covid-19 is affecting 210 countries and territories around the world and two international conveyances. As of 2 June 2020, there are 6,408,869 confirmed 2,935,368 recovered and 378,317 deaths cases has been reported in world of Coronavirus diseases, India is not untouched from this situation. Currently, it has reported infected 190,535 and 5,394 death cases due to COVID-19 in India. (https//covid19.who.in t/region/searo/country/in). The COVID-19 pandemic was first confirmed in the Indian state of Uttar Pradesh on 4 March 2020, with the first positive case in Ghaziabad. As of 1 June 2020, the state has 8361 confirmed cases, resulting in 222 deaths and 5030 recoveries. The situation is getting worst day by day as COVID-19 outbreaks and patients are increasing by every minute and become the most important issue for the whole world and So accessing knowledge and awareness among the people is very important. The present study using the exploratory data analysis we tried to demonstrate the knowledge and awareness of individuals about the COVID-19 pandemic in Uttar Pradesh, the most populous state of India. The findings of the present study can be utilized by the researchers and policy makers to handle this worst situation.
Mots clés

Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Web of Science langue: Anglais Revue: Journal of Reliability and Statistical Studies Année: 2022 Type de document: Article

Documents relatifs à ce sujet

MEDLINE

...
LILACS

LIS


Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Web of Science langue: Anglais Revue: Journal of Reliability and Statistical Studies Année: 2022 Type de document: Article