Battling Epidemics & Disparity with Modeling

Anuj Mubayi
PRECISIONheor, Los Angeles, USA Illinois State University, Normal, USA

Jeff Sullivan
PRECISIONheor, Los Angeles, USA

Jason Shafrin
PRECISIONheor, Los Angeles, USA

Oliver Diaz
PRECISIONheor, Los Angeles, USA

Aditi Ghosh
University of Wisconsin-Whitewater, Whitewater, USA

Anamika Mubayi
Indian Institute of Technology, Kanpur, India

Olcay Akman
Illinois State University, Normal, USA

Phani Veeranki
PRECISIONheor, Los Angeles, USA

Abstract

Policymakers are under intense pressure to respond effectively to the ongoing COVID-19 situation. Epidemiological models, which have been helpful in many previous infectious diseases’ epidemics, have been inconsistent and often incorrect in predicting burden of COVID-19 outbreak. Modelers are struggling to identify and capture appropriate drivers of the current outbreak giving conflicting conclusions. COVID-19 is not only exerting unprecedented social pressure on the vulnerable population but also its patterns are getting impacted by existing and aggravating social problems. The present article stresses the role of this dual nature of the impact of COVID-19 and suggests modelers to incorporate challenges at the interface of COVID-19 preparedness and social epidemics such as homelessness and opioid use. There is an urgent need to encourage social distancing policies to protect people and prevent the spread of the virus, while ensuring that other social crises and vulnerable populations are not ignored.

Keywords: COVID-19 ,Social epidemics ,Homelessness ,Housing assistance

SCImago Journal & Country Rank