Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource On the quick estimation of probability of recovery from COVID-19 during first wave of epidemic in India: a logistic regression approach Subject The topic of the resource coronavirus disease; COVID-19; epidemic; logistic regression; logit analysis; recovery estimation Description An account of the resource The COVID-19 pandemic has recently become a threat all across the globe with the rising cases every day and many countries experiencing its outbreak. According to the WHO, the virus is capable of spreading at an exponential rate across countries, and India is now one of the worst-affected country in the world. Researchers all around the world are racing to come up with a cure or treatment for COVID-19, and this is creating extreme pressure on the policy makers and epidemiologists. However, in India the recovery rate has been far better than in other countries, and is steadily improving. Still in such a difficult situation with no effective medicine, it is essential to know if a patient with the COVID-19 is going to recover or die. To meet this end, a model has been developed in this article to estimate the probability of a recovery of a patient based on the demographic characteristics. The study used data published by the Ministry of Health and Family Welfare of India for the empirical analysis. Hemlata Joshi, S. Azarudheen, M. S. Nagaraja, Singh Chandraketu. Creator An entity primarily responsible for making the resource Joshi H.; Azarudheen S.; Nagaraja M.S.; Chandraketu S. Source A related resource from which the described resource is derived Statistics in Transition New Series, Vol-23, No. 2, pp. 197-208. Publisher An entity responsible for making the resource available Sciendo Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.2478/stattrans-2022-0024" target="_blank" rel="noreferrer noopener">https://doi.org/10.2478/stattrans-2022-0024</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140764287&amp;doi=10.2478%2Fstattrans-2022-0024&amp;partnerID=40&amp;md5=f6a7c524584f5ca3ba99be7835cf2469" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140764287&amp;doi=10.2478%2fstattrans-2022-0024&amp;partnerID=40&amp;md5=f6a7c524584f5ca3ba99be7835cf2469</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 12347655 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joshi H., CHRIST (Deemed to be University), Bangalore, India; Azarudheen S., CHRIST (Deemed to be University), Bangalore, India; Nagaraja M.S., CHRIST (Deemed to be University), Bangalore, India; Chandraketu S., CHRIST (Deemed to be University), Bangalore, India