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In California, more frequent, intense, and destructive wildfires have prompted public health departments to enhance disaster response plans as evacuations and shelter needs increase. In addition, individuals utilizing shelters have increasingly complex medical and behavioral health needs and are accessing shelters for longer periods of time. Public health nurses (PHNs) are often called to staff disaster shelters but may have less recent experience in, or comfort with, direct patient care. Many health departments are experiencing challenges developing sustainable training infrastructure that prepares PHNs to deliver direct patient care in disaster shelters. Partnering with academic institutions can address this challenge. This article describes a partnership between a regional collaborative of health jurisdictions and a public university to train public health nurses to work in disaster shelters. The training demonstrates a sustainable way to instruct public health nurses while also highlighting the potential of partnerships between academic institutions and local health departments to address disaster preparedness and response needs in a community. Public health nurses are essential to public health preparedness and providing additional training can augment their ability to respond to disasters.  相似文献   
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During the early phases of the COVID-19 vaccine efforts, there was limited supply of the vaccine available to administer. However, as the vaccine supply improved, there was a lack of qualified personnel to administer the vaccine. VaxForce, a volunteer workforce management system to vet healthcare professionals and students and match them with existing vaccination events, was created. VaxForce activities were mainly focused on under-resourced communities. From March 2021 through July 2022, VaxForce mobilized 316 health professional volunteers in 72 vaccination events administering over 8451 vaccines in 7 counties in California. The racial and ethnic profile of vaccine recipients in VaxForce events were reported to be 49% Latinx, 26% Black, 4% Asian/Pacific Islander, 18% White, 3% Mixed Race.  相似文献   
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