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Event detail

(Online) Wednesday Research Seminar - Statistical Analysis of COVID-19 Data

Event information

START DATE 08 April 2020
START TIME 04:00 PM
LOCATION

Online

END DATE 08 April 2020
END TIME 05:00 PM

We are pleased to invite you to our Wednesday Research Seminar. It will be held online on 8 April from 4pm via GoToMeeting platform.

https://www.gotomeet.me/researchseminar

Wednesday Research Seminar Series was launched in 2008, and has featured more than 275 presentations to date. The seminars provide a forum for researchers to share their work. Presenters include faculty from Middlesex University Dubai and other universities in the United Arab Emirates, as well as researchers from other global institutions. Prof. Ajit Karnik will deliver seminar on:

“Statistical Analysis of COVID-19 Data”

Ajit Karnik

Abstract

This research is concerned with examining the statistical properties of the COrona VIrus Disease 2019 (COVID-19) which has had a profound effect on how we conduct our lives. Starting from January 22, 2020 a large amount of data on various aspects of the disease are being made available by various agencies. The data include information on total and new confirmed cases, total and new deaths due to the virus and recoveries from the virus. I will be using daily data sourced from the Johns Hopkins University. This presentation is in two parts. The first part carries out a cross-country comparison focusing on the countries accounting for the largest number of confirmed cases as per the latest count. We also include the UAE in this group even though it does not figure in the worst affected countries. I show that despite dissimilar paths that the number of cases have taken in these countries, there is an underlying similarity in the exponential growth. In this context, I also touch on the defining feature of pandemics – the so-called R0 – and attempt a simplified approximation of it. The second part of the presentation investigates the likely factors that explain the progress of the disease across countries. I do this by estimating equations to model the number of confirmed cases as well as the death rates across countries. Some of the factors that seem important are levels of national income, share of population above 65 years, number of tourist arrivals and doubling rate of cases.

Biography

Ajit Karnik is Professor of Economics. He was previously Professor of Political Economy before assuming the role of Director of the Department of Economics at the University of Mumbai, and served as Professor of Economics at the University of Wollongong in Dubai. He has been Indo-American Fellow at the University of Texas at Austin (USA), Overseas Visiting Fellow at St John’s College (Cambridge University, UK), Fulbright Scholar at the Haas Business School, University of California (USA) and Smuts Fellow at Wolfson College (Cambridge University, UK). He teaches across areas spanning Econometrics, Introductory and Advanced Economics, Marketing Research, Operations Strategy, Research Methods, and Trade and Multinational Enterprises. To date he has supervised the dissertations of 11 PhD students, 5 MPhil students, 25 MA students, 10 MSc Banking and Finance students, and over 75 MBA students.

Looking forward to seeing you at the seminar!

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