eneath top-down national and state directives and recommendations, communities must respond to the many phases of coronavirus disease 2019 . The pandemic has unfolded differently across those communities with outcomes dependent on context, infrastructure, capacity, and how assets are organized, linked, and deployed. Achieving control requires real-time multisector data sharing, learning, and adaptation. Leaders from health care, public health, congregate care, elected offices, neighborhoods, schools, and businesses must work together to create systems that can respond to a pathogen that does not respect geographic, jurisdictional, or disciplinary boundaries. 1 Response capabilities have been compromised by limited cross-sector coordination and decades-long disinvestment in public health. [2][3][4] The Pandemic All-Hazards Preparedness Act of 2006 was passed to overcome these limitations by establishing an "electronic nationwide public health situational awareness capability through an interoperable network of systems to share data and information." 5 This goal has not been achieved, 6 and communities continue to rely on insights pieced together, often manually, from multiple isolated sources. 7 Data are often at too large a scale (ie, national or state) or too incomplete (ie, single sector or jurisdiction) to be useful for decision-making.As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) found its way

Vulnerable populations (e.g., older adults) can be hard to reach online. During a pandemic like COVID-19 when much research data collection must be conducted online only, these populations risk being further underrepresented. This paper explores methodological strategies for rigorous, efficient survey research with a large number of older adults online, focusing on (1) the design of a survey instrument both comprehensible and usable by older adults, (2) rapid collection (within hours) of data from a large number of older adults, and (3) validation of data using attention checks, independent validation of age, and detection of careless responses to ensure data quality. These methodological strategies have important implications for the inclusion of older adults in online research.

Understanding the factors that influence trust in public health information is critical for designing successful public health campaigns during pandemics such as COVID ‐19. We present findings from a cross‐sectional survey of 454 US adults—243 older (65+) and 211 younger (18–64) adults—who responded to questionnaires on human values, trust in COVID ‐19 information sources, attention to information quality, self‐efficacy, and factual knowledge about COVID ‐19. Path analysis showed that trust in direct personal contacts ( B = 0.071, p = .04) and attention to information quality ( B = 0.251, p < .001) were positively related to self‐efficacy for coping with COVID ‐19. The human value of self‐transcendence, which emphasizes valuing others as equals and being concerned with their welfare, had significant positive indirect effects on self‐efficacy in coping with COVID ‐19 (mediated by attention to information quality; effect = 0.049, 95% CI 0.001–0.104) and factual knowledge about COVID ‐19 (also mediated by attention to information quality; effect = 0.037, 95% CI 0.003–0.089). Our path model offers guidance for fine‐tuning strategies for effective public health messaging and serves as a basis for further research to better understand the societal impact of COVID ‐19 and other public health crises.