We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Edited by
William J. Brady, University of Virginia,Mark R. Sochor, University of Virginia,Paul E. Pepe, Metropolitan EMS Medical Directors Global Alliance, Florida,John C. Maino II, Michigan International Speedway, Brooklyn,K. Sophia Dyer, Boston University Chobanian and Avedisian School of Medicine, Massachusetts
A key aspect of preparing to offer appropriate medical care during a mass gathering is anticipating the number and severity of patient contacts, as well as the number of patients who require transport to an outside hospital. Planning for appropriate medical support is not only critical to providing care to attendees of the event but also to minimize the strain on the surrounding region. The inherent variability between events and circumstances that are unknowable prior to the event makes estimations difficult; however, several prediction models have been developed to provide estimates for the number of medical resources that an event is likely to require. This chapter first discusses the typical number of patient presentations, the required level of care, and hospital transports reported for most mass gatherings. It then provides an overview of the most important factors that influence patient volumes. Four of the most commonly used prediction models are presented and the uses and limitations are discussed. Elements of an event that may lead to significant underestimation then are explored separately. Finally, the risk of critical illness occurring at mass gathering events is considered.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.