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Research team creates a computer model that can predict how COVID-19 spreads in cities

A new computer model predicts the COVID-19 infection-versus-activity trade-off for Chicago. According to the figure, COVID-19 infections will rise as the number of visits to businesses and public places approach pre-pandemic levels. However, restricting maximum occupancy can strike an effective balance: for example, a 20 percent occupancy cap would still permit 60 percent of pre-pandemic visits while risking only 18 percent of the infections that would occur if public places were to fully reopen. Credit: Serina Yongchen Chang

A team of researchers has created a computer model that accurately predicted the spread of COVID-19 in 10 major cities this spring by analyzing three factors that drive infection risk: where people go in the course of a day, how long they linger and how many other people are visiting the same place at the same time.

“We built a to analyze how people of different demographic backgrounds, and from different neighborhoods, visit different types of places that are more or less crowded. Based on all of this, we could predict the likelihood of new infections occurring at any given place or time,” said Jure Leskovec, the Stanford computer scientist who led the effort, which involved researchers from Northwestern University.

The study, published today in the journal Nature, merges demographic data, epidemiological estimates and anonymous cellphone location information, and appears to confirm that most COVID-19 transmissions occur at “superspreader” sites, like full-service restaurants, fitness centers and cafes, where people remain in close quarters for extended periods. The researchers say their model’s specificity could serve as a tool for officials to help minimize the spread of COVID-19 as they reopen businesses by revealing the tradeoffs between new infections and lost sales if establishments open, say, at 20 percent or 50 percent of capacity.

Study co-author David Grusky, a professor of

Health article

Lewy Body Dementia: Hope Through Research

 

Introduction
The Basics of Lewy Body Dementia
Types of Lewy Body Dementia
Causes and Risk Factors
Common Symptoms
Diagnosis
Treatment and Management
Advice for People Living with Lewy Body Dementia
Caring for a Person with Lewy Body Dementia
Research: The Road Ahead
Diagnosis, Treatment and Research
Where can I get more information?


Introduction

Lewy body dementia (LBD) is a complex and challenging brain disorder. It is complex because it affects many parts of the brain in ways that scientists are trying to understand more fully. It is challenging because its many possible symptoms make it hard to do everyday tasks that once came easily.

Although less known than its “cousins” Alzheimer’s disease and Parkinson’s disease, LBD is not a rare disorder. More than 1 million Americans, most of them older adults, are affected by its disabling changes in the ability to think and move.

As researchers seek better ways to treat LBD—and ultimately to find a cure—people with LBD and their families struggle day to day to get an accurate diagnosis, find the best treatment, and manage at home.

This booklet is meant to help people with LBD, their families, and professionals learn more about the disease and resources for coping. It explains what is known about the different types of LBD and how they are diagnosed. Most importantly, it describes how to treat and manage this difficult disease, with practical advice for both people with LBD and their caregivers.

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The Basics of Lewy Body Dementia

LBD is a disease associated with abnormal deposits of a protein called alpha-synuclein in the brain. These deposits, called Lewy bodies, affect chemicals in the brain whose changes, in turn, can lead to problems with thinking, movement, behavior, and mood. LBD is one of the most common causes of dementia, after Alzheimer’s disease