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Background: Effective epidemic preparedness is critical for minimizing the health and societal impacts of viral respiratory infections. This study details the development of a data-driven early warning system (EWS) designed to improve outbreak detection and response utilizing the data integration and visualization capabilities of Microsoft Power BI. Methods: This research utilized a structured three-phase approach to design a respiratory infections (RIs) management dashboard. Phase 1, focused on identifying critical variables through literature reviews and expert interviews. In Phase 2, Microsoft Power BI was employed for dashboard development, integrating data from diverse sources. Phase 3 involved usability testing with health professionals who evaluated navigation, data accuracy, decision-support features, providing feedback to enhance visualization clarity and filtering capabilities. Results: Key data categories include individual-level variables, such as age, symptoms, and vaccination records, alongside population-level metrics like infection rates and regional vaccination coverage enabling functionalities such as identifying high-risk individuals, tracking infection dynamics, and optimizing resource allocation. The dashboard, developed using Power BI visualizes epidemiological trends, intervention outcomes, and resource utilization. A relational database schema ensures efficient data retrieval, facilitating comprehensive analysis. Conclusion: The prototype EWS represents a scalable and integrative framework aimed at enhancing public health applications, particularly in the context of respiratory infections. By incorporating data from diverse health sectors, the system offers decision-makers access to critical epidemiological indicators, supporting early outbreak detection and improved epidemic management. Its potential to unify health institutions underscores its value in fostering a more cohesive and effective approach to epidemic preparedness. Nevertheless, while the system demonstrates significant promise, further evaluation in real-world settings is essential to determine its practical impact on public health outcomes and its ability to mitigate health crises. [ABSTRACT FROM AUTHOR]

Background: In 2020, HOHM Foundation launched Homeopathy Help Now (HHN), a network of professional homeopathy telehealth practitioners, administrative volunteers, and independent researchers to work collaboratively in order to respond to the urgent need of care for the ever-growing number of COVID-19 cases in the United States. Methods: in this pragmatic case series study, cases of positively testing or probable COVID-19 (n = 3495) are analyzed using conventional quantitative analysis. The sample includes clinical data collected from clients who attended the clinic between 23 March 2020 and 31 December 2023. Results: The youngest client at the clinic was less than one year old, and the eldest was 92. Many of the participants at this clinical facility were adults (58.1%), with fewer (41.9%) aged 0–17. Many were female (61.7%), while fewer were male (32.4). Most clients found their symptoms improved at final contact (83.6%), and the majority of individual remedy responses improved symptoms (73.7%) over the course of their care. Discussion: Health Services and Public Health research projects are warranted to investigate the ways in which such a necessary stop-gap clinical service as HHN could become implemented in early- and later-phase response to pandemics. HHN's collaborative, horizontally integrated team structure was essential for the creation of the novel approach needed to address the serious symptoms of COVID-19. Moreover, HHN's organizational model draws on a mutual aid structure, whereby dynamic, flexible systems are created that empower a community to meet emerging needs, especially when more formal structures are strained, failing or simply unavailable. Further research is urgently needed into the implementation and benefits of innovative, flexible healthcare structures, such as the one used in this study, that can meet the unpredictable and fluctuating public health needs in our changing world. [ABSTRACT FROM AUTHOR]