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.

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
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 either Read More
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 why Read More
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
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 against Read More
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.  Often Read More
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
Vaccine Effectiveness This observational study evaluates the effectiveness of BNT162b2 (Pfizer vaccine) among health care workers in an area with a high rate of the B.1.1.7 variant in Northern Italy during the time period of January 25, 2021 through April 13, Read More
Maternal Outcomes The authors of this meta-analysis examine endocrine disorders in pregnant women with COVID-19 and without and its impact on maternal outcomes.  A total of 141 articles met the research criteria and were included in the meta-analyses.  Key findings Read More
Machine Learning The authors of this review examine efforts to use machine learning (ML) algorithms during the ongoing pandemic and they focus on two main applications:  diagnosis of COVID-19 and prediction of mortality risk and severity.  Given that it is Read More

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