Health of American Indian and Alaska Native Adults, by Urbanization Level: United States, 2014-2018.

Historically, the American Indian and Alaska Native (AIAN) population in the United States has faced health disparities including greater prevalence of physical and mental health problems and high uninsured rates when compared with the non-AIAN population (1). Almost 80% of the AIAN population resides outside of reservations or land trusts and about 40% reside in rural areas (2). Rural Americans are more likely to die from preventable or selfmanageable conditions (3), and risk factors and health conditions may vary by urbanization level (4). This report examines differences in the percentage of selected health status and conditions by urbanization level between AIAN adults and all U.S. adults.

Disparities in Incidence of COVID-19 Among Underrepresented Racial/Ethnic Groups in Counties Identified as Hotspots During June 5-18, 2020 - 22 States, February-June 2020.

During January 1, 2020-August 10, 2020, an estimated 5 million cases of coronavirus disease 2019 (COVID-19) were reported in the United States.* Published state and national data indicate that persons of color might be more likely to become infected with SARS-CoV-2, the virus that causes COVID-19, experience more severe COVID-19-associated illness, including that requiring hospitalization, and have higher risk for death from COVID-19 (1-5). CDC examined county-level disparities in COVID-19 cases among underrepresented racial/ethnic groups in counties identified as hotspots, which are defined using algorithmic thresholds related to the number of new cases and the changes in incidence.† Disparities were defined as difference of ≥5% between the proportion of cases and the proportion of the population or a ratio ≥1.5 for the proportion of cases to the proportion of the population for underrepresented racial/ethnic groups in each county. During June 5-18, 205 counties in 33 states were identified as hotspots; among these counties, race was reported for ≥50% of cumulative cases in 79 (38.5%) counties in 22 states; 96.2% of these counties had disparities in COVID-19 cases in one or more underrepresented racial/ethnic groups. Hispanic/Latino (Hispanic) persons were the largest group by population size (3.5 million persons) living in hotspot counties where a disproportionate number of cases among that group was identified, followed by black/African American (black) persons (2 million), American Indian/Alaska Native (AI/AN) persons (61,000), Asian persons (36,000), and Native Hawaiian/other Pacific Islander (NHPI) persons (31,000). Examining county-level data disaggregated by race/ethnicity can help identify health disparities in COVID-19 cases and inform strategies for preventing and slowing SARS-CoV-2 transmission. More complete race/ethnicity data are needed to fully inform public health decision-making. Addressing the pandemic's disproportionate incidence of COVID-19 in communities of color can reduce the community-wide impact of COVID-19 and improve health outcomes.

Surveying Strategies for Hard-to-Survey Populations: Lessons From the Native Hawaiian and Pacific Islander National Health Interview Survey.

Calls for remedies for the persistent scarcity of accurate, reliable, national, disaggregated health statistics on hard-to-survey populations are common, but solutions are rare. Survey strategies used in community and clinical studies of hard-to-survey populations often cannot be, and generally are not, implemented at the national level.This essay presents a set of approaches, for use in combination with traditional survey methods in large-scale surveys of these populations, to overcome challenges in 2 domains: sampling and motivating respondents to participate. The first approach consists of using the American Community Survey as a frame, and the second consists of implementing a multifaceted community engagement effort.We offer lessons learned from implementing these strategies in a national survey, some of which are relevant to all survey planners. We then present evidence of the quality of the resulting data set. If these approaches were used more widely, hard-to-survey populations could become more visible and accurately represented to those responsible for setting national priorities for health research and services.

Regional Variation in Private Dental Coverage and Care Among Dentate Adults Aged 18-64 in the United States, 2014-2017.

Routine dental care can promote oral health (1,2), and those with private dental insurance are more likely to visit a dentist than those with other types of dental coverage or no coverage (3,4). Geographical variation in dental coverage and care among adults under age 65 exists (5,6), as does the availability of dental health professionals (7). This report examines regional variation in dental coverage among dentate adults (i.e., adults who have not lost all permanent teeth) aged 18-64 who had private health insurance in the past year, their utilization of dental care, and unmet dental needs due to cost in the past year.