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Arni  Rao, PhD - Augusta University. Augusta, GA, US

Arni Rao, PhD Arni  Rao, PhD

Professor | Augusta University


A respected leader in mathematical modeling for tracing the spread of infectious diseases, including COVID-19.


Dr. Rao is a Professor in the Medical College of Georgia and Director at the Laboratory for Theory and Mathematical Modeling, Medical College of Georgia, Augusta University. Until 2012, he held a permanent faculty position at Indian Statistical Institute, Kolkata. He had taught and/or performed research at several premier institutions including, the Indian Statistical Institute (ISI), University of Oxford (Oxford, UK), the Indian Institute of Science (Bengaluru, India) and the University of Guelph, (Guelph, Canada) prior to his arrival at Augusta University.

Areas of Expertise (4)

Artifical Intelligence

Infectious Disease

Mathematical Analyses

Complex Dynamics,

Accomplishments (3)

ISCB23 Conference Awards for Scientists 2002, Dijon, France

An award presented by The International Society for Clinical Biostatistics.

Heiwa Nakajima Foundation Award, Tokyo

An awared presented by Heiwa Nakajima Foundation

Gold Medal for M.Sc Topper

An award presented by Andhra University

Education (2)

Deemed University, Internation: Doctoral degree, Demography and Population Stud

Andhra University: Master's degree, Pre-Medicine/Pre-Medical Studi

Affiliations (4)

  • Journal of Mathematical Analysis and Applications (Elsevier)
  • Handbook of Statistics (Elsevier/North-Holland, Amsterdam)
  • Demography India
  • Journal of Indian Institute of Science (Springer)

Media Appearances (4)

Mathematical modeling draws more accurate picture of coronavirus cases

Augusta University Jagwire  online


Mathematical modeling can take what information is reported about the coronavirus, including the clearly underreported numbers of cases, factor in knowns like the density and age distribution of the population in an area, and compute a more realistic picture of the virus’ infection rate, numbers that will enable better prevention and preparation, modelers say.

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App, AI work together to provide rapid at-home assessment of coronavirus risk

Augusta University Jagwire  


A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they’ve been in about a minute, and direct those deemed at risk to the nearest definitive testing facility, investigators say.

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Professor develops new system to track spread of coronavirus

Augusta University Jagwire  online


The death toll from the coronavirus has risen to nearly 500, and the number of virus cases has climbed to almost 25,000, including 11 in the United States. As public health officials work to stop the spread of the illness, an Augusta University researcher has developed a mathematical model and algorithm to help health organizations track the spread of potential outbreaks.

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MCG: Math model shows millions of COVID cases may have gone unreported

WRDW  tv


Researchers found millions of COVID cases may have gone unreported in the first two and half years of the pandemic. According to the World Health Organization, there have been more than half a billion COVID cases and more than 6 million deaths reported worldwide. As staggering as that sounds, a new study, including research from a Medical College of Georgia professor found the true number of COVID cases is very likely much higher than we realize. “Back when the pandemic started, people were at home, and then some of them were not sure of about the symptoms,” said Dr. Arni Rao.

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Articles (2)

Disease Modelling and Public Health,

Herb Tandree Philosophy Bks.

Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology. As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy.

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The formula to compute country-wise Human Development Index by the UNDP is illogical

SocArXiv Papers

Arni Rao


Mathematically the geometric rule of computing the human development index by the UNDP launched in 1990 could be valid. However, the three components of the index and its expanded versions like Oxfam's Multidimensional Poverty Index (MPI) stand illogical as long as the wealth of the nations looted and lost during the colonial era is not adjusted

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