2021
DOI: 10.5055/jem.0587
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Local emergency management social media use during the COVID-19 pandemic

Abstract: The purpose of this special issue of the Journal of Emergency Management is to assess the state of disaster preparedness, response, mitigation, and recovery during the COVID-19 pandemic. This article adds to this discussion by examining the results of a national survey of emergency managers in the United States regarding the social media platforms they use to communicate information related to the COVID-19 pandemic, how proficient they feel using them, and what value they see in these technologies during the t… Show more

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“…This way, the application of effective communication principles and structures, as well as the control of disinformation and Fake News are fundamental to improve patient care and the development of public messages in response to COVID-19 25,26 .…”
Section: Discussionmentioning
confidence: 99%
“…This way, the application of effective communication principles and structures, as well as the control of disinformation and Fake News are fundamental to improve patient care and the development of public messages in response to COVID-19 25,26 .…”
Section: Discussionmentioning
confidence: 99%
“…The surveys garnered 677 responses in 2020 and 730 in 2021 respectively, producing response rates of 15.9 and 15.8 percent. While this response rate is lower than pre-pandemic electronic surveys of local emergency management professionals (Hildebrand, 2015(Hildebrand, , 2017(Hildebrand, , 2019Hildebrand & Waite, 2021;Hildebrand & Malone, 2021;Weaver et al, 2014;Wernstedt et al 2019), it is understandable given the demands placed on these individuals in response to COVID-19 and their traditional daily demands. The respondents to the national surveys represent jurisdictions that range from 250 to over 5,000,000 residents.…”
Section: Datamentioning
confidence: 91%
“… Adapted from Hildebrand and Waite (2021), Pew Research Center (Parker et al, 2018), and U.S. National Center for Health Statistics (2014) Urban–Rural Classification Scheme. …”
Section: Literature Review and Theorymentioning
confidence: 99%