About Payal Patel-Dovlatabadi

Payal Patel-Dovlatabadi, DrPH, MPH, MBA is an Associate Professor of Public Health and Director of the undergraduate and graduate programs in public health at the University of Evansville. She serves as the public health expert for local media and has appeared on over 100 televised interviews regarding various public health issues with over 50 of the interviews related to COVID-19. Her research interests include healthcare systems and policies in the comparative perspective related to social epidemiology.

Monthly Review: COVID-19 Data and Surveillance – December 27, 2021

Antiviral Medications Both Pfizer and Merck have developed antiviral medications that could help with treatment of COVID-19.  Clinical trials for both companies focused on unvaccinated individuals with at least one risk factor for developing severe disease.  Pfizer’s drug paxlovid reducesRead More
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Monthly Review: COVID-19 Data and Surveillance – November 22, 2021

Negative Test and Airline Travel This article analyzes results of a routine SARC-CoV-2 testing strategy for international flights during the time period of December 19, 2020 – May 19, 2021.  The collaborative effort between Delta Air Lines, Mayo Clinic, andRead More
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Monthly Review: COVID-19 Data and Surveillance – October 25, 2021

Breakthrough Infections This preprint retrospective analysis identifies risk factors associated with breakthrough infections using electronic health record from Columbia University Irving Medical Center/New York Presbyterian.  The researchers aimed to address the following: What risk factors are associated with breakthrough infections?Read More
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Monthly Review: COVID-19 Data and Surveillance – September 27, 2021

COVID-19 Treatments – Safety and Efficacy There have been a number of emergency therapeutic interventions used for the treatment of both severe and non-severe COVID-19; none though that are formally accepted as a pharmacological treatment.  These include ivermectin, avifavir, doxycycline,Read More
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Monthly Review: COVID-19 Data and Surveillance – August 23, 2021

Vaccine Comparison  This preprint retrospective study compares the effectiveness of the Moderna (mRNA-1273) and Pfizer/BioNTech (BNT162b2)  vaccines from January to July 2021 in the Mayo Clinic Health System.   The researchers examine effectiveness during which the highly prevalent waves of eitherRead More
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Monthly Review: COVID-19 Data and Surveillance – July 26, 2021

Public Health Workforce COVID-19 has shown the need for a large, well-trained public health workforce not only to control the current pandemic but also future emerging diseases and to address health disparities and other disease burdens.  This report illustrates whyRead More
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Weekly Review: COVID-19 Data and Surveillance – June 21, 2021

The authors of this article examine whether social and behavioral risk factors were associated with mortality related to COVID-19 among US veterans.  Specific risk factors examined in the study include housing problems, financial hardship, and tobacco, alcohol, and substance use. Read More
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Weekly Review: COVID-19 Data and Surveillance – June 14, 2021

This brief from Nature discusses mass vaccinations and its effects on the spread of COVID-19 in children.  Data from the small town of Serrana in the Brazilian state of Sao Paulo indicate that adult vaccinations are a protective factor againstRead More
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Weekly Review: COVID-19 Data and Surveillance – June 7, 2021

Basic Reproduction Number (R0) The authors of this article discuss the meaning and misinterpretation of the basic reproduction number (R0) which is a mathematical term that indicates the contagiousness of an infectious disease by identifying the number of secondary cases.  OftenRead More
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Weekly Review: COVID-19 Data and Surveillance – May 24, 2021

Artificial Intelligence The authors of this study provide a comprehensive analysis of artificial intelligence (AI) and machine learning (ML) approaches in relation to the public health and the current pandemic.  Various applications of AI are used which involve big data. Read More
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