Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Andrew J. Rosenblum"'
Autor:
Daniel J. Barnett, Samantha M. Sundermeir, Melissa M. Reznar, Alexis Lightner, Lisa Poirier, Andrew J. Rosenblum, Ayoyemi Toheeb Oladimeji, Takeru Igusa, Roni Neff, Cara F. Ruggiero, Emma C. Lewis, Leah Jager, Leena Moses, Veronica Velez-Burgess, Brooke Gagnon, Noor Attar, Joel Gittelsohn
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionFood-insecure households commonly rely on food pantries to supplement their nutritional needs, a challenge that was underscored during the COVID-19 pandemic. Food pantries, and the food banks that supply them, face common challenges in me
Externí odkaz:
https://doaj.org/article/6d1cabf0fe4c492088c6c274ecc9b084
Autor:
Andrew J. Rosenblum, Christopher M. Wend, Reef A. Ide, Matthew A. Owens, Clifford A. Cutchins V, Matthew J. Levy
Publikováno v:
Journal of public health management and practice : JPHMP.
Emergency medical services (EMS) medicine continues to expand and mature as a recognized subspeciality within emergency medicine. In the United States, EMS physicians historically supported training, protocol development, and EMS clinician credential
Autor:
Nina M. Martin, Joao Sedoc, Lisa Poirier, Andrew J. Rosenblum, Melissa M. Reznar, Joel Gittelsohn, Daniel J. Barnett
Background: Machine learning has revolutionized situational awareness during disaster management by classifying, clustering, and predicting impacted locations and people. Despite its importance, no review has been conducted on machine learning tools
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecd8a1afef37efc52111fc3dc0d790d4
https://doi.org/10.20944/preprints202207.0221.v1
https://doi.org/10.20944/preprints202207.0221.v1
Autor:
Nina M. Martin, Lisa Poirier, Andrew J. Rosenblum, Melissa M. Reznar, Joel Gittelsohn, Daniel J. Barnett
Objective: Food security during public health emergencies relies on situational awareness of needs and resources. Artificial intelligence (AI) has revolutionized situational awareness during crises, allowing the allocation of resources to needs throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe8df8ad377a14e783cc1210c3ae872
Autor:
Nicole A. Errett, Meena Seshamani, Andrew J. Rosenblum, Thomas D. Kirsch, Lauren Knieser, Daniel J. Barnett
Publikováno v:
Disaster Medicine and Public Health Preparedness
The national response to the coronavirus disease 2019 (COVID-19) pandemic has highlighted critical weaknesses in domestic health care and public health emergency preparedness, despite nearly 2 decades of federal funding for multiple programs designed
Publikováno v:
Disaster Medicine and Public Health Preparedness. 15:491-498
Since its 1960s origins, the Haddon matrix has served as a tool to understand and prevent diverse mechanisms of injuries and promote safety. Potential remains for broadened application and innovation of the matrix for disaster preparedness. Hospital
Publikováno v:
American journal of disaster medicine. 16(3)
Beginning in the 1960s as a tool to disaggregate complicated auto injuries, the Haddon matrix has evolved into a modern method of analyzing complex public health challenges. Throughout the United States and internationally, music festivals have becom
Autor:
Andrew J. Rosenblum, Christopher M. Wend, Zohaib Akhtar, Lori Rosman, Jeffrey D. Freeman, Daniel J. Barnett
Publikováno v:
Disaster Medicine and Public Health Preparedness. 17
Objective: Disasters of all varieties have been steadily increasing in frequency. Simultaneously, “big data” has seen explosive growth as a tool in business and private industries while opportunities for robust implementation in disaster manageme
Autor:
Andrew J. Rosenblum
Publikováno v:
Journal of Public Health Management and Practice. 28:3-5
Autor:
Ellen J.I. van Dongen, Daniel J. Barnett, Nina M. Martin, Joel Gittelsohn, Samantha M. Sundermeir, Lori Rosman, Andrew J. Rosenblum
Publikováno v:
Disaster Medicine and Public Health Preparedness. 17
Objective: Modern digital strategies, including Internet of Things, machine learning, and mobile applications, have revolutionized situational awareness during disaster management. Despite their importance, no review of digital strategies to support