Health system resilience has never been more important than with the COVID-19 pandemic.
There is need to identify feasible measures of resilience, potential strategies to build …

The COVID-19 pandemic forced governments globally to impose lockdown measures and
mobility restrictions to curb the transmission of the virus. As economies slowly reopen …

Agent-based models (ABMs) have become a common tool for estimating demand for
hospital beds during the COVID-19 pandemic. A key parameter in these ABMs is the …

This study aims to analyze the concept of anticipatory burden in adult-child caregivers. A
systematic literature review was performed using four databases, Pubmed, CINAHL …

Objective This study aims to build a multistate model and describe a predictive tool for
estimating the daily number of intensive care unit (ICU) and hospital beds occupied by …

Geographic information systems (GIS) have become essential tools in the public health
domain, especially when it comes to monitoring and surveillance of disease. The purpose of …

Objectives Throughout the coronavirus disease 2019 pandemic, susceptible-infectious-
recovered (SIR) modeling has been the preeminent modeling method to inform policy …

An 83‐year‐old female had asymptomatic SARS‐CoV‐2 infection while taking ruxolitinib.
She remained RT‐PCR positive for viral RNA for> 120 days, and Pegylated interferon for 4 …

Die durch die „coronavirus disease 2019 “(COVID-19) ausgelöste Pandemie hat die
Intensivmedizin in den Fokus der Öffentlichkeit gerückt. Die Sterblichkeit der Erkrankten …

ABSTRACT A model to predict hospital bed requirements six weeks in advance to treat
Covid-19 patients in California is presented. The model also gives prediction for number of …