Public Health Preparedness for Extreme Heat Events.

Heat is a dangerous hazard that causes acute heat illness, chronic disease exacerbations, adverse pregnancy outcomes, and a range of injuries. Risks are highest during extreme heat events (EHEs), which challenge the capacity of health systems and other critical infrastructure. EHEs are becoming more frequent and severe, and climate change is driving an increasing proportion of heat-related mortality, necessitating more investment in health protection. Climate-resilient health systems are better positioned for EHEs, and EHE preparedness is a form of disaster risk reduction. Preparedness activities commonly take the form of heat action plans (HAPs), with many examples at various administrative scales. HAP activities can be divided into primary prevention, most important in the pre-event phase; secondary prevention, key to risk reduction early in an EHE;and tertiary prevention, important later in the event phase. After-action reports and other postevent evaluation activities are central to adaptive management of this climate-sensitive hazard.

Planning to Reduce the Health Impacts of Extreme Heat: A Content Analysis of Heat Action Plans in Local United States Jurisdictions.

Objectives. To examine commonalities and gaps in the content of local US heat action plans (HAPs) designed to decrease the adverse health effects of extreme heat. Methods. We used content analysis to identify common strategies and gaps in extreme heat preparedness among written HAPs in the United States from jurisdictions that serve municipalities with more than 200 000 residents. We reviewed, coded, and analyzed plans to assess the prevalence of key components and strategies. Results. All 21 plans evaluated incorporated data on activation triggers, heat health messaging and risk communication, cooling centers, surveillance activities, and agency coordination, and 95% incorporated information on outreach to at-risk populations. Gaps existed in the specific applications of these broad strategies. Conclusions. Practice-based recommendations as well as future areas of research should focus on increasing targeted strategies for at-risk individuals and expanding the use of surveillance data outside of situational awareness. (Am J Public Health. 2023;113(5):559-567. https://doi.org/10.2105/AJPH.2022.307217).

A novel climate and health decision support platform: Approach, outputs, and policy considerations.

BACKGROUND: The adverse health impacts of climate change are increasingly apparent and the need for adaptation activities is pressing. Risks, drivers, and decision contexts vary significantly by location, and high-resolution, place-based information is needed to support decision analysis and risk reduction efforts at scale. METHODS: Using the Intergovernmental Panel on Climate Change (IPCC) risk framework, we developed a causal pathway linking heat with a composite outcome of heat-related morbidity and mortality. We used an existing systematic literature review to identify variables for inclusion and the authors' expert judgment to determine variable combinations in a hierarchical model. We parameterized the model for Washington state using observational (1991-2020 and June 2021 extreme heat event) and scenario-driven temperature projections (2036-2065), compared outputs against relevant existing indices, and analyzed sensitivity to model structure and variable parameterization. We used descriptive statistics, maps, visualizations and correlation analyses to present results. RESULTS: The Climate and Health Risk Tool (CHaRT) heat risk model contains 25 primary hazard, exposure, and vulnerability variables and multiple levels of variable combinations. The model estimates population-weighted and unweighted heat health risk for selected periods and displays estimates on an online visualization platform. Population-weighted risk is historically moderate and primarily limited by hazard, increasing significantly during extreme heat events. Unweighted risk is helpful in identifying lower population areas that have high vulnerability and hazard. Model vulnerability correlate well with existing vulnerability and environmental justice indices. DISCUSSION: The tool provides location-specific insights into risk drivers and prioritization of risk reduction interventions including population-specific behavioral interventions and built environment modifications. Insights from causal pathways linking climate-sensitive hazards and adverse health impacts can be used to generate hazard-specific models to support adaptation planning.

Barriers and facilitators to state public health agency climate and health action: a qualitative assessment.

BACKGROUND: As the health implications of climate change become more apparent, agencies and institutions across the United States are developing recommendations for state and territorial health agencies (S/THAs) to implement evidence-informed climate and health adaptation strategies. The CDC established the Building Resilience Against Climate Effects (BRACE) framework in 2010 to encourage local and state public health engagement in climate change adaptation. However, even after a decade of the BRACE initiative, the elements that affect the adoption and implementation of climate and health programming by S/THAs are not well understood. METHODS: Using an implementation science framework, this study sought to further understand and define the barriers and facilitators that determine the breadth and success of climate change and health activities undertaken by state health agencies (SHAs). We conducted focus groups with representatives from SHAs with and without climate and health programs, and analyzed data using the framework method for qualitative research. RESULTS: This study identified funding, state and agency-level prioritization, staff capability and capacity, and political will and polarization as factors that influence the readiness for implementation and implementation climate for climate and health activities. CONCLUSIONS: As the impacts of climate change intensify, S/THAs will need to expand resources and capacity, and seek advocacy and assistance from external organizations in order to support the level of engagement required to strengthen climate resilience. Findings from this study have implications for public health policy and highlight potential pathways to expand support for climate and health activities in S/THAs in the U.S.

Survey of extreme heat public health preparedness plans and response activities in the most populous jurisdictions in the United States.

BACKGROUND: Increasingly frequent and intense extreme heat events (EHEs) are indicative of climate change impacts, and urban areas' social and built environments increase their risk for health consequences. Heat action plans (HAPs) are a strategy to bolster municipal EHE preparedness. The objective of this research is to characterize municipal interventions to EHEs and compare U.S. jurisdictions with and without formal heat action plans. METHODS: An online survey was sent to 99 U.S. jurisdictions with populations > 200,000 between September 2021 and January 2022. Summary statistics were calculated to describe the proportion of total jurisdictions, as well as jurisdictions with and without HAPs and in different geographies that reported engagement in extreme heat preparedness and response activities. RESULTS: Thirty-eight (38.4%) jurisdictions responded to the survey. Of those respondents, twenty-three (60.5%) reported the development of a HAP, of which 22 (95.7%) reported plans for opening cooling centers. All respondents reported conducting heat-related risk communications; however, communication approaches focused on passive, technology-dependent mechanisms. While 75.7% of jurisdictions reported having developed a definition for an EHE, less than two-thirds of responding jurisdictions reported any of the following activities: conducting heat-related surveillance (61.1%), implementing provisions for power outages (53.1%), increasing access to fans or air conditioners (48.4%), developing heat vulnerability maps (43.2%), or evaluating activities (34.2%). There were only two statistically significant (p ≥ .05) differences in the prevalence of heat-related activities between jurisdictions with and without a written HAP, possibly attributable to a relatively small sample size: surveillance and having a definition of extreme heat. CONCLUSIONS: Jurisdictions can strengthen their extreme heat preparedness by expanding their consideration of at-risk populations to include communities of color, conducting formal evaluations of their responses, and by bridging the gap between the populations determined to be most at-risk and the channels of communication designed to reach them.

Climate Change Adaptation Activities and Needs in US State and Territorial Health Agencies.

OBJECTIVE: To characterize US State and Territorial Health Agencies' (S/THA) climate change adaptation activities and priorities to facilitate appropriate investments, skills development, and support that will strengthen health sector capacity in response to a changing climate. DESIGN: In 2021, we conducted an online survey of S/THA staff requesting information on current activities related to climate change and health, the state of climate and health programming, and anticipated needs and priorities for assistance. We analyzed survey results using descriptive statistics. SETTING: US State and Territorial Health Agencies. PARTICIPANTS: We received responses from 41 of 59 S/THAs (69.5%). MAIN OUTCOME MEASURES: Implementation of S/THA climate and health programs (CHPs); engagement in climate and health activities; maintenance of hazard early warning systems and action plans; employment of climate and health communications strategies; capability to assess risks and adaptation needs related to various climate-sensitive conditions; priorities and plans for climate change adaptation in relation to climate-sensitive health risks; climate change adaptation-related partnerships and collaborations; requests of the Association of State and Territorial Health Officials (ASTHO) for advancing climate change adaptation activities; and the impacts of the COVID-19 pandemic on climate change work. RESULTS: Nineteen S/THAs reported having CHPs, the majority of which are federally funded. On average, S/THAs without CHPs reported engagement in fewer climate and health activities and more early warning activities. The S/THAs reported the highest levels of concerns regarding non-vector-borne infectious disease (66%), vector-borne infectious diseases (61%), and extreme heat (61%) hazards. CONCLUSIONS: As S/THAs with CHPs report substantially greater climate and health capacity than those without, additional federal and state investments (eg, Building Resilience Against Climate Effects [BRACE]) are urgently needed to catalyze climate and health capacity.

What can we do when the smoke rolls in? An exploratory qualitative analysis of the impacts of rural wildfire smoke on mental health and wellbeing, and opportunities for adaptation.

BACKGROUND: Extreme, prolonged wildfire smoke (WFS) events are becoming increasingly frequent phenomena across the Western United States. Rural communities, dependent on contributions of nature to people's quality of life, are particularly hard hit. While prior research has explored the physical health impacts of WFS exposure, little work has been done to assess WFS impacts on mental health and wellbeing, or potential adaptation solutions. METHODS: Using qualitative methods, we explore the mental health and wellbeing impacts experienced by community members in a rural Washington State community that has been particularly hard hit by WFS in recent years, as well as individual, family, and community adaptation solutions. We conducted focus groups with residents and key informant interviews with local health and social service providers. RESULTS: Participants identified a variety of negative mental health and wellbeing impacts of WFS events, including heightened anxiety, depression, isolation, and a lack of motivation, as well as physical health impacts (e.g., respiratory issues and lack of exercise). Both positive and negative economic and social impacts, as well as temporary or permanent relocation impacts, were also described. The impacts were not equitably distributed; differential experiences based on income level, outdoor occupations, age (child or elderly), preexisting health conditions, housing status, and social isolation were described as making some residents more vulnerable to WFS-induced physical and mental health and wellbeing challenges than others. Proposed solutions included stress reduction (e.g., meditation and relaxation lessons), increased distribution of air filters, development of community clean air spaces, enhancing community response capacity, hosting social gatherings, increasing education, expanding and coordination risk communications, and identifying opportunities for volunteering. Findings were incorporated into a pamphlet for community distribution. We present a template version herein for adaptation and use in other communities. CONCLUSIONS: Wildfire smoke events present significant mental health and wellbeing impacts for rural communities. Community-led solutions that promote stress reduction, physical protection, and community cohesion have the opportunity to bolster resilience amid this growing public health crisis.

"When people see me, they know me; they trust what I say": characterizing the role of trusted sources for smoke risk communication in the Okanogan River Airshed Emphasis Area.

INTRODUCTION: As wildfire smoke events increase in intensity and frequency in the Pacific Northwest, there is a growing need for effective communication on the health risks of smoke exposure. Delivery through a trusted source or intermediary has been shown to improve reception of risk communication messages. This is especially salient in rural and tribal communities who may be hesitant to trust information from state and federal agency sources. This study aims to identify and characterize trusted sources for smoke risk information in the Okanogan River Airshed Emphasis Area (ORAEA), a rural region of North Central Washington state that is heavily impacted by smoke from wildfires and prescribed fire. METHODS: The research team conducted a qualitative study using data collected through key informant interviews and focus groups to assess the role of various sources and intermediaries in disseminating smoke risk information. We used a consensual coding approach in NVivo Qualitative Analysis Software to sort data into preliminary categories, which were grouped into themes using a thematic analysis approach. We used member checking and iterative feedback processes with local project partners throughout the project to ensure credibility of results. RESULTS: Through the analysis, we identified three themes characterizing trusted sources for smoke risk communication in the ORAEA. These themes were: (1) local and tribal sources of information are perceived as more trustworthy than state and federal government sources, (2) trustworthiness is determined by an evaluation of multiple factors, in particular, perceived credibility, quality of information, and relationship with the source, and (3) conservative political ideology and perceived parallels with COVID-19 communication influence perception of trust. Within each theme, we identified several sub-themes, which contributed additional nuance to our analysis. CONCLUSION: This study provides insights into which sources of information are trusted by rural and tribal community members in the ORAEA and why. Results from our study emphasize the importance of relationships and collaboration with local and tribal partners in smoke risk communication. In this paper, we discuss implications for state and federal agency practitioners and present recommendations for how to work with local and tribal partners on smoke risk communication.

Characterizing observable COVID-19 controls in Pacific Northwest grocery stores.

Utilizing a longitudinal, observational study, grocery store health and safety controls implemented during the COVID-19 pandemic across stores in two cities were characterized. Sixteen stores between Seattle, WA (n = 9) and Portland, OR (n = 7) were visited monthly by the study team from May 2020 to January 2021, and observations of controls were recorded using a standardized checklist in REDCap. The checklist included questions on the presence or absence of controls such as physical barriers, social distancing markers, required masking of customers, cleaning of check-out stands, and closures of store areas. Descriptive analyses were conducted to determine the proportion of stores with a certain control each month. Mixed-effects logistic regression was used to explore how controls changed over time, and whether differences were observed between cities or by income of the area the store serves. Source control (e.g., mask requirements) and engineering controls (e.g., physical barriers at checkout) were the most common and consistent controls observed across stores and over the study period. Controls such as having special hours for vulnerable populations, demarcations on aisles for directionality, and cleaning check-out stands between customers varied significantly over time (p < 0.05 in the mixed-effects model). Having an employee present to clean baskets and carts, as well as physical barriers between self-checkouts, were significantly more common in stores in areas above the median income (p < 0.05 in the mixed-effects model). To best protect workers and shoppers from infectious agents, controls should be evidence-based, consistently implemented across grocery stores, and coupled with administrative practices and policies to promote worker wellbeing.

Extreme Weather and Climate Change: Population Health and Health System Implications.

Extreme weather and climate events, such as heat waves, cyclones, and floods, are an expression of climate variability. These events and events influenced by climate change, such as wildfires, continue to cause significant human morbidity and mortality and adversely affect mental health and well-being. Although adverse health impacts from extreme events declined over the past few decades, climate change and more people moving into harm's way could alter this trend. Long-term changes to Earth's energy balance are increasing the frequency and intensity of many extreme events and the probability of compound events, with trends projected to accelerate under certain greenhouse gas emissions scenarios. While most of these events cannot be completely avoided, many of the health risks could be prevented through building climate-resilient health systems with improved risk reduction, preparation, response, and recovery. Conducting vulnerability and adaptation assessments and developing health system adaptation plans can identify priority actions to effectively reduce risks, such as disaster risk management and more resilient infrastructure. The risks are urgent, so action is needed now.

Health and safety risk perceptions and needs of app-based drivers during COVID-19.

BACKGROUND: App-based drivers face work disruptions and infection risk during a pandemic due to the nature of their work, interactions with the public, and lack of workplace protections. Limited occupational health research has focused on their experiences. METHODS: We surveyed 100 app-based drivers in Seattle, WA to assess risk perceptions, supports, and controls received from the company that employs them, sources of trust, stress, job satisfaction, COVID-19 infection status, and how the pandemic had changed their work hours. Data were summarized descriptively and with simple regression models. We complemented this with qualitative interviews to better understand controls and policies enacted during COVID-19, and barriers and facilitators to their implementation. RESULTS: Drivers expressed very high levels of concern for exposure and infection (86%-97% were "very concerned" for all scenarios). Only 31% of drivers reported receiving an appropriate mask from the company for which they drive. Stress (assessed via PSS-4) was significantly higher in drivers who reported having had COVID-19, and also significantly higher in respondents with lower reported job satisfaction. Informants frequently identified supports such as unemployment benefits and peer outreach among the driver community as ways to ensure that drivers could access available benefits during COVID-19. CONCLUSIONS: App-based drivers received few protections from the company that employed them, and had high fear of exposure and infection at work. There is increased need for health-supportive policies and protections for app-based drivers. The most effective occupational and public health regulations would cover employees who may not have a traditional employer-employee relationship.

Indicators to Guide and Monitor Climate Change Adaptation in the US Pacific Northwest.

Objectives. To develop a set of indicators to guide and monitor climate change adaptation in US state and local health departments.Methods. We performed a narrative review of literature on indicators of climate change adaptation and public health service capacity, mapped the findings onto activities grouped by the Centers for Disease Control and Prevention's Ten Essential Services, and drafted potential indicators to discuss with practitioners. We then refined the indicators after key informant interviews with 17 health department officials in the US Pacific Northwest in fall 2018.Results. Informants identified a need for clarity regarding state and local public health's role in climate change adaptation, integration of adaptation into existing programs, and strengthening of communication, partnerships, and response capacity to increase resilience. We propose a set of climate change indicators applicable for state and local health departments.Conclusions. With additional context-specific refinement, the proposed indicators can aid agencies in tracking adaptation efforts. The generalizability, robustness, and relevance of the proposed indicators should be explored in other settings with a broader set of stakeholders.

Prediction of Pediatric Critical Care Resource Utilization for Disaster Triage.

OBJECTIVES: Pediatric protocols to guide allocation of limited resources during a disaster lack data to validate their use. The 2011 Pediatric Emergency Mass Critical Care Task Force recommended that expected duration of critical care be incorporated into resource allocation algorithms. We aimed to determine whether currently available pediatric illness severity scores can predict duration of critical care resource use. DESIGN: Retrospective cohort study. SETTING: Seattle Children's Hospital. PATIENTS: PICU patients admitted 2016-2018 for greater than or equal to 12 hours (n = 3,206). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We developed logistic and linear regression models in two-thirds of the cohort to predict need for and duration of PICU resources based on Pediatric Risk of Mortality-III, Pediatric Index of Mortality-3, and serial Pediatric Logistic Organ Dysfunction-2 scores. We tested the predictive accuracy of the models with the highest area under the receiver operating characteristic curve (need for each resource) and R (duration of use) in a validation cohort of the remaining one of three of the sample and among patients admitted during one-third of the sample and among patients admitted during surges of respiratory illness. Pediatric Logistic Organ Dysfunction score calculated 12 hours postadmission had higher predictive accuracy than either Pediatric Risk of Mortality or Pediatric Index of Mortality scores. Models incorporating 12-hour Pediatric Logistic Organ Dysfunction score, age, Pediatric Overall Performance Category, Pediatric Cerebral Performance Category, chronic mechanical ventilation, and postoperative status had an area under the receiver operating characteristic curve = 0.8831 for need for any PICU resource (positive predictive value 80.2%, negative predictive value 85.9%) and area under the receiver operating characteristic curve = 0.9157 for mechanical ventilation (positive predictive value 85.7%, negative predictive value 89.2%) within 7 days of admission. Models accurately predicted greater than or equal to 24 hours of any resource use for 78.9% of patients and greater than or equal to 24 hours of ventilation for 83.1%. Model fit and accuracy improved for prediction of resource use within 3 days of admission, and was lower for noninvasive positive pressure ventilation, vasoactive infusions, continuous renal replacement therapy, extracorporeal membrane oxygenation, and length of stay. CONCLUSIONS: A model incorporating 12-hour Pediatric Logistic Organ Dysfunction score performed well in estimating how long patients may require PICU resources, especially mechanical ventilation. A pediatric disaster triage algorithm that includes both likelihood for survival and for requiring critical care resources could minimize subjectivity in resource allocation decision-making.

Assessing the national capacity for disaster research response (DR2) within the NIEHS Environmental Health Sciences Core Centers.

INTRODUCTION: Disaster research response (DR2) is necessary to answer scientific questions about the environmental health impacts of disasters and the effectiveness of response and recovery strategies. This research explores the preparedness and capacity of National Institute of Environmental Health Sciences (NIEHS) P30 Core Centers (CCs) to conduct DR2 and engage with communities in the context of disasters. METHODS: In early 2018, we conducted an online survey of CC Directors (n = 16, 69.5% response rate) to identify their DR2 relevant scientific assets, capabilities, and activities. Summary statistics were calculated. We also conducted in-depth, semi-structured interviews with 16 (69.5%) CC Community Engagement Core directors to identify facilitators and barriers of DR2 community engagement. Interview notes were coded and thematically analyzed. RESULTS: Survey: While 56% of responding CCs reported prior participation in DR2 and preparedness to repurpose funding to support DR2, less than one third reported development of a disaster-specific data collection protocol, deployment plan, or concept of operations plan, participation in an exercise to test DR2 capacity, development of academic partnerships to conduct DR2, development of a process for fast-tracking institutional review board approvals for DR2, or maintenance of formal agreements with state, local, or community-based partner(s). A number of CCs reported developing or considering developing capacity in these areas. Barriers to, and tools and resources to enhance, CC engagement in DR2 were identified. Interviews: Four key components for community engaged DR2 were identified: pre-existing community relationships, responsive research that benefits communities, coordination among researchers, and coordination with community response partners. Several roles for, benefits of, and barriers to Community Engagement Rapid Response Teams (CERRT) were described. CONCLUSIONS: CCs have significant scientific assets and community partnerships that can be leveraged for DR2; however, additional planning is necessary to ensure that these scientific assets and community partnerships are leveraged when disasters strike.

Content, Accessibility, and Dissemination of Disaster Information via Social Media During the 2016 Louisiana Floods.

CONTEXT: Social media is becoming increasingly integrated into disaster response communication strategies of public health and emergency response agencies. OBJECTIVE: We sought to assess the content, accessibility, and dissemination of social media communications made by government agencies during a disaster response. DESIGN: A cross-sectional analysis of social media posts made by federal, state, and local government, public health and emergency management agencies before, during, and after the 2016 Louisiana floods was conducted to determine their content, accessibility, and dissemination by level of government and time relative to disaster onset. SETTING: Facebook and/or Twitter posts made by public agencies involved in the response to the 2016 Louisiana Flooding events (FEMA Disaster Declaration [DR-4277]) published between August 4 and September 16, 2016, publicly available online between February 21 and March 31, 2017, were included in the analysis. MAIN OUTCOME MEASURE: Content: The text of each post was assessed to determine whether it contained information on provision of situational awareness; addressing misconception, actionable requests; mental, behavioral, and emotional support; and/or recovery and rebuilding resources. Accessibility: A Flesh-Kincaid grade level of each post was calculated, and information on post language, originality, hyperlinks, visuals, videos, or hash tag was recorded. Dissemination: The average number of reacts/likes, shares/retweets, and comments per post was calculated. RESULTS: Most posts contained information related to situational awareness and recovery resources. There was an increase in messages during the first week of the disaster at all levels. Few posts were made in languages other than English. Compared with state and federal posts, local Facebook posts averaged fewer reacts, comments, and shares throughout the analysis period. CONCLUSIONS: Government agencies may maximize the use of social media platforms for disaster communications by establishing their social media network in advance of a disaster and by applying established guidelines on disaster social media use.

Association Between the 2021 Heat Wave in Portland, Oregon, and Seattle, Washington, and Emergency Department Visits.

This study used a health care claims data set of enrollees in commercial and Medicare Advantage insurance plans to assess the association between the June 2021 heat wave and the rates of emergency department visits in Portland, Oregon, and Seattle, Washington.

EPPM and willingness to respond: the role of risk and efficacy communication in strengthening public health emergency response systems.

This study examines the attitudinal impact of an Extended Parallel Process Model (EPPM)-based training curriculum on local public health department (LHD) workers' willingness to respond to representative public health emergency scenarios. Data are from 71 U.S. LHDs in urban and rural settings across nine states. The study explores changes in response willingness and EPPM threat and efficacy appraisals between randomly assigned control versus intervention health departments, at baseline and 1 week post curriculum, through an EPPM-based survey/resurvey design. Levels of response willingness and emergency response-related attitudes/beliefs are measured. Analyses focus on two scenario categories that have appeared on a U.S. government list of scenarios of significant concern: a weather-related emergency and a radiological "dirty" bomb event (U.S. Department of Homeland Security, 2007). The greatest impact from the training intervention on response willingness was observed among LHD workers who had low levels of EPPM-related threat and efficacy perceptions at baseline. Self-efficacy and response efficacy and response willingness increased in intervention LHDs for both scenarios, with greater response willingness increases observed for the radiological "dirty" bomb terrorism scenario. Findings indicate the importance of building efficacy versus enhancing threat perceptions as a path toward greater response willingness, and suggest the potential applicability of such curricular interventions for boosting emergency response willingness among other cadres of health providers.

Assessing community-level impacts of and responses to stay at home orders: The King County COVID-19 community study.

BACKGROUND: At the beginning of the COVID-19 pandemic, non-pharmaceutical interventions (NPIs) of unprecedented scope and duration were implemented to limit community spread of COVID-19. There remains limited evidence about how these measures impacted the lived experience of affected communities. This study captured the early impacts and coping strategies implemented in King County, Washington, one of the first U.S. communities impacted by COVID-19. METHODS: We conducted a cross-sectional web-based survey of 793 English- and Spanish-speaking adult King County residents from March 18, 2020 -May 30, 2020, using voluntary response sampling. The survey included close- and open-ended questions on participant demographics, wellbeing, protective actions, and COVID-19-related concerns, including a freeform narrative response to describe the pandemic's individual-, family- and community-level impacts and associated coping strategies. Descriptive statistics were used to analyze close-ended questions, and qualitative content analysis methods were used to analyze free-form narrative responses. RESULTS: The median age of participants was 45 years old, and 74% were female, 82% were White, and 6% were Hispanic/Latinx; 474 (60%) provided a qualitative narrative. Quantitative findings demonstrated that higher percentages of participants engaged in most types of COVID-19 protective behaviors after the stay-at-home order was implemented and schools and community spaces were closed, relative to before, and that participants tended to report greater concern about the pandemic's physical health or healthcare access impacts than the financial or social impacts. Qualitative data analysis described employment or financial impacts (56%) and vitality coping strategies (65%), intended to support health or positive functioning. CONCLUSIONS: This study documented early impacts of the COVID-19 pandemic and the NPIs implemented in response, as well as strategies employed to cope with those impacts, which can inform early-stage policy formation and intervention strategies to mitigate the negative impacts. Future research should explore the endurance and evolution of the early impacts and coping strategies throughout the multiyear pandemic.