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The novel coronavirus disease SARS‐CoV‐2 (COVID‐19) outbreak rapidly generated an unprecedented global, national, and state public health crisis with the need to rapidly develop alternate care sites (ACS) to care for COVID‐19 patients within an overburdened health care system. A hospital care model ACS to increase the health care capacity, provide care for mild to moderately symptomatic patients, and offer local self‐sustainment for a surge of patients was developed in Memphis, Tennessee located in Shelby County. We completed a temporary conversion of a large unused newspaper publication building to a health care facility for COVID‐19 patients. Developing an ACS from ground zero was met with many challenges, and throughout the process important lessons were learned. With the goal to complete the building conversion within a 28‐day timeframe, collaboration among the numerous governmental, health care, and private agencies was critical and nursing leadership was key to this process. The purpose of this paper is to describe the development of a COVID‐19 ACS in Memphis, TN, which has a large at‐risk population with limited access to health care. Specifically, we will discuss the strong leadership role of nursing faculty, key challenges, and lessons learned, as well as provide checklists and models for others in similar circumstances. [ABSTRACT FROM AUTHOR]

Objectives: This study was conducted to develop and evaluate a theoretical model to explain the relationships among participation in individual and social activities, compliance with prevention guidelines, and the perception of fatalism and fear of COVID‐19. Methods: Cross‐sectional survey of 1,067 participants who were >18 years of age living in different provinces of Turkey recruited between August 15, 2020 and October 15, 2020. We used covariant structural analysis to assess the relationships of the constructs of the theoretical model. Results: Significant fits were detected for Model 1 (χ2 = 924,389, p <.001, comparative fit index or CFI = 0.944), and for Model 2 (χ2 = 2,253,751, p <.001, CFI = 0.926). The predetermination and luck subdimensions reduce the fear of COVID‐19, while the pessimism subdimension and compliance with preventive measures increase the fear. Conclusion: In public health crises such as COVID‐19, it is important to plan scientific knowledge‐based public education; take initiatives in accordance with the cultural, social, economic, religious, and local characteristics of the societies; and conduct public health studies covering the whole society. [ABSTRACT FROM AUTHOR]

Efforts to control the current coronavirus disease 2019 (COVID‐19) pandemic have led to national lockdowns around the world. Reactions to the rapidly evolving outbreak were shared on social media platforms. We conducted a mixed‐methods analysis of tweets collected from May 10 to May 24, 2020, using MAXQDA software in conjunction with Twitters search API using the keywords: "COVID‐19," "coronavirus pandemic," "Covid19," "face masks," and included terms such as "Queens," "Bronx," "New York." A total of 7, 301 COVID‐19‐related tweets across the globe were analyzed. We used SAS Text Miner V.15.1 for descriptive text mining to uncover the primary topics in unstructured textual data. Content analysis of tweets revealed six themes: surveillance, prevention, treatments, testing and cure, symptoms and transmission, fear, and financial loss. Our study also demonstrates the feasibility of using Twitter to capture real‐time data to assess the public's concerns and public health needs during the COVID‐19 pandemic. [ABSTRACT FROM AUTHOR]