Author Interviews, COVID -19 Coronavirus / 08.05.2020
COVID-19: Estimating The Infection Fatality Rate Among Symptomatic US Patients
MedicalResearch.com Interview with:
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Dr. Basu[/caption]
Anirban Basu, Ph.D.
Stergachis Family Endowed Director and Professor
The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute
University of Washington, Seattle
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: The infection fatality ratio (IFR) of Covid19 infections is a key parameter to model the future burden of this pandemic. Case fatality rates at any point in time provide a biased estimate of IFR because of the undercounting in both the reported number of covid deaths (numerator) and the reported number of Covid19 cases (denominator). Instead, this study looked at the temporality or time trend of the CFRs within specific counties in the US (where data were deemed to be mature) to understand the underlying IFRs that these trends allude to. It estimates county-specific IFR to range from 0.5% to 3.6%, with a population average for the US at 1.3% (95% CCI: 0.6% - 2.1%).
Dr. Basu[/caption]
Anirban Basu, Ph.D.
Stergachis Family Endowed Director and Professor
The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute
University of Washington, Seattle
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: The infection fatality ratio (IFR) of Covid19 infections is a key parameter to model the future burden of this pandemic. Case fatality rates at any point in time provide a biased estimate of IFR because of the undercounting in both the reported number of covid deaths (numerator) and the reported number of Covid19 cases (denominator). Instead, this study looked at the temporality or time trend of the CFRs within specific counties in the US (where data were deemed to be mature) to understand the underlying IFRs that these trends allude to. It estimates county-specific IFR to range from 0.5% to 3.6%, with a population average for the US at 1.3% (95% CCI: 0.6% - 2.1%).


The building of the filtered eye mask prototype.[/caption]

Vasily Giannakeas[/caption]
Vasily Giannakeas, MPH
Epidemiologist/ Dedicated ICES Analyst
Women's College Hospital
Toronto, Ontario, Canada
MedicalResearch.com: What is the background for this study?
Response: As some health care systems approach collapse, a pressing need exists for tools modeling the capacity of acute and critical care systems during the COVID-19 pandemic.
We developed an online tool to estimate the maximum number of COVID-19 cases that could be managed per day within the catchment area served by a health care system, given acute and critical care resource availability.
The COVID-19 Acute and Intensive Care Resource Tool (CAIC-RT) is open access and available at


Aurika Savickaite[/caption]
Aurika Savickaite RN
Adult Gerontology Acute Care Nurse Practitioner
Bulletproof Coach
University of Chicago Medicine
MedicalResearch.com: Would you briefly explain what is meant by helmet-based ventilation? How does it work?
Response: For patients in respiratory failure, noninvasive positive pressure ventilation (NIPPV) is usually delivered through a nasal mask or facemask. Many patients develop pain, discomfort – even claustrophobia -- from using NIPPV systems. The transparent helmet was developed to improve the tolerance of noninvasive ventilation. It allows the patient to see, read, speak and drink without interrupting noninvasive positive-pressure ventilation (NPPV).
The helmet has a sealed connection and a soft collar that adheres to the neck which helps prevent the air leaks that are very common with nasal- or face masks. High positive end-expiratory pressure (PEEP) is vital in treating patients in respiratory failure and thanks to helmets “none to minimum air leak” system, PEEP can be set high (up to 25). NIPPV via a nasal- or full-face mask typically begins to show air leaks when the required pressure exceeds 15-20cm H2O.

