Association of socioeconomic disadvantage and ethnicity with perinatal neonatal, and infant mortality in Slovakia.

BACKGROUND: Infant mortality rates are reliable indices of the child and general population health status and health care delivery. The most critical factors affecting infant mortality are socioeconomic status and ethnicity. The aim of this study was to assess the association between socioeconomic disadvantage, ethnicity, and perinatal, neonatal, and infant mortality in Slovakia before and during the COVID-19 pandemic. METHODS: The associations between socioeconomic disadvantage (educational level, long-term unemployment rate), ethnicity (the proportion of the Roma population) and mortality (perinatal, neonatal, and infant) in the period 2017-2022 were explored, using linear regression models. RESULTS: The higher proportion of people with only elementary education and long-term unemployed, as well as the higher proportion of the Roma population, increases mortality rates. The proportion of the Roma population had the most significant impact on mortality in the selected period between 2017 and 2022, especially during the COVID-19 pandemic (2020-2022). CONCLUSIONS: Life in segregated Roma settlements is connected with the accumulation of socioeconomic disadvantage. Persistent inequities between Roma and the majority population in Slovakia exposed by mortality rates in children point to the vulnerabilities and exposures which should be adequately addressed by health and social policies.

Vaccine Attitudes and Uptake Among Latino Residents of a Former COVID-19 Hotspot.

Early in the COVID-19 pandemic, the Centers for Disease Control and Prevention identified Prince William County (PWC), Va. as a hotspot with a high disease rate among Latinos. This study uses spatial, survey, and qualitative data to understand attitudes towards vaccine uptake among PWC Latinos. A quantitative analysis (n=266) estimates the association for vaccine acceptance among Latinos. Next, qualitative interviews with Latinos (n=37) examine vaccine attitudes. Finally, a spatial analysis identifies clusters of social vulnerability and low vaccine uptake in PWC and adjacent counties. Our findings show that a substantial proportion of PWC Latinos had low vaccination rates as of December 2022, two years after the vaccine's release. Side effects and safety and approval concerns were cited in both the quantitative and qualitative studies. Persistent vaccine disparities are concerning given the high hospitalization and mortality rates that prevailed among Latinos early in the pandemic.

The impact of reduced routine community mental healthcare on people from minority ethnic groups during the COVID-19 pandemic: qualitative study of stakeholder perspectives.

BACKGROUND: Enduring ethnic inequalities exist in mental healthcare. The COVID-19 pandemic has widened these. AIMS: To explore stakeholder perspectives on how the COVID-19 pandemic has increased ethnic inequalities in mental healthcare. METHOD: A qualitative interview study of four areas in England with 34 patients, 15 carers and 39 mental health professionals from National Health Service (NHS) and community organisations (July 2021 to July 2022). Framework analysis was used to develop a logic model of inter-relationships between pre-pandemic barriers and COVID-19 impacts. RESULTS: Impacts were largely similar across sites, with some small variations (e.g. positive service impacts of higher ethnic diversity in area 2). Pre-pandemic barriers at individual level included mistrust and thus avoidance of services and at a service level included the dominance of a monocultural model, leading to poor communication, disengagement and alienation. During the pandemic remote service delivery, closure of community organisations and media scapegoating exacerbated existing barriers by worsening alienation and communication barriers, fuelling prejudice and division, and increasing mistrust in services. Some minority ethnic patients reported positive developments, experiencing empowerment through self-determination and creative activities. CONCLUSIONS: During the COVID-19 pandemic some patients showed resilience and developed adaptations that could be nurtured by services. However, there has been a reduction in the availability of group-specific NHS and third-sector services in the community, exacerbating pre-existing barriers. As these developments are likely to have long-term consequences for minority ethnic groups' engagement with mental healthcare, they need to be addressed as a priority by the NHS and its partners.

Mental Health Among Puerto Rican Adolescents Living in the United States During the COVID-19 Pandemic.

OBJECTIVES: The present study examined how different family level (family financial stress, family violence) and individual (food insecurity, gender, race) determinants of health were associated with mental health among Puerto Rican adolescents living in the U.S. during the COVID-19 pandemic. METHOD: A sample consisting of 119 Puerto Rican adolescents, aged 13 to 17, was collected via Qualtrics Panels between November 2020 and January 2021. We examined the association between family financial stress experienced during the pandemic and psychological distress. We also evaluated whether the association between family financial stress and psychological distress was moderated by family violence, food insecurity, and the participant's gender and race. RESULTS: Findings showed that food insecurity positively predicted psychological distress. Results also showed that participants' race moderated the association between family financial stress and psychological distress. Specifically, we found that while there was a significant positive association between family financial stress and psychological distress among Puerto Rican adolescents who identified as a racial minority, this association was nonsignificant among White Puerto Rican adolescents. CONCLUSION: Our research highlights the significant role of COVID-19 related family financial stress and food insecurity on Puerto Rican adolescents' poor mental health during the COVID-19 pandemic.

Racial and Ethnic Disparities in Excess All-Cause Mortality in the First Year of the COVID-19 Pandemic.

Research on the COVID-19 pandemic in the United States has consistently found disproportionately high mortality among ethnoracial minorities, but reports differ with respect to the magnitude of mortality disparities and reach different conclusions regarding which groups were most impacted. We suggest that these variations stem from differences in the temporal scope of the mortality data used and difficulties inherent in measuring race and ethnicity. To circumvent these issues, we link Social Security Administration death records for 2010 through 2021 to decennial census and American Community Survey race and ethnicity responses. We use these linked data to estimate excess all-cause mortality for age-, sex-, race-, and ethnicity-specific subgroups and examine ethnoracial variation in excess mortality across states and over the course of the pandemic's first year. Results show that non-Hispanic American Indians and Alaska Natives experienced the highest excess mortality of any ethnoracial group in the first year of the pandemic, followed by Hispanics and non-Hispanic Blacks. Spatiotemporal and age-specific ethnoracial disparities suggest that the socioeconomic determinants driving health disparities prior to the pandemic were amplified and expressed in new ways in the pandemic's first year to disproportionately concentrate excess mortality among racial and ethnic minorities.

The Epidemic of Internalizing Problems Among Latinx Adolescents Before and During the Coronavirus 2019 Pandemic.

OBJECTIVE: Latinx youth exhibit disproportionately higher internalizing symptoms than their peers from other racial/ethnic groups. This study compares depression and anxiety symptoms between referred students of Latinx and non-Latinx backgrounds before and during the COVID-19 pandemic and examines key determinants within the Latinx sample. METHOD: Data are analyzed from four academic years - two before and two during the pandemic - from 1220 5th through 8th grade students (Mage = 12.1; 59.6% female; 59.9% Latinx or mixed-Latinx) referred for services across 59 Chicago Public School District (CPS) elementary schools. Using the Children's Depression Inventory (CDI) and the Revised Child Anxiety and Depression Scale (RCADS), mean scores and risk levels for depression, social anxiety, and generalized anxiety are examined. RESULTS: Higher internalizing risk and comorbidity rates were found in the second year of the pandemic, compared to pre-pandemic levels. Latinx students reported higher depression, social anxiety, and generalized anxiety symptoms than non-Latinx students. During the pandemic, more Latinx students were classified as having comorbid depression and anxiety, and scored in the clinical range for depression, generalized anxiety, and social anxiety than non-Latinx students. Within the Latinx sample, girls and gender non-conforming students reported the highest maladjustment. CONCLUSIONS: Results highlight the pressing need to examine the long-term impact of COVID-19 on the mental health of Latinx children and adolescents, and to address their internalizing problems.

COVID-19 Economic and Academic Stress on Mexican American Adolescents' Psychological Distress: Parents as Essential Workers.

OBJECTIVES: In a sample of Mexican American adolescents (N = 398; 51% females; aged 13-17), we examined the associations between psychological distress, COVID-19 household economic stress, COVID-19 academic stress, and whether these associations varied by adolescents' gender and by parents/caregivers' essential worker status. METHOD: First, linear regression models assessed the main effects of household economic and academic stress on psychological distress. Second, the moderating effects of gender and parents/caregivers' essential worker status on the association between household economic and academic stress, and psychological distress were examined. Third, the three-way interaction effect of household economic stress, gender, and parents/caregivers' essential worker status on psychological distress as well as the three-way interaction effect of academic stress, gender, and parents/caregivers' essential worker status on psychological distress were calculated. RESULTS: Household economic and academic stress were associated with psychological distress. However, these associations did not vary based on adolescents' gender or parents/caregivers' essential worker status. The three-way interaction for household economic stress, parents/caregivers' essential worker status, and gender for psychological distress was significant. Specifically, the effects of household economic stress on psychological distress was worse for boys than girls whose parents/caregivers were essential workers. Furthermore, the three-way interaction among academic stress, parents/caregivers' essential worker status, and gender was significant. Particularly, the effects of academic stress when grades were worse on adolescents' psychological distress was worse for boys than girls whose parents/caregivers were essential workers. CONCLUSION: Parents/caregivers' essential worker status was salient among Mexican American adolescents' mental health outcomes during COVID-19, particularly for adolescent boys.

Predicting Covid-19 infection and death rates among E.U. minority populations in the absence of racially disaggregated data through the use of US data comparisons.

BACKGROUND: The E.U.'s lack of racially disaggregated data impedes the formulation of effective interventions, and crises such as Covid-19 may continue to impact minorities more severely. Our predictive model offers insight into the disparate ways in which Covid-19 has likely impacted E.U. minorities and allows for the inference of differences in Covid-19 infection and death rates between E.U. minority and non-minority populations. METHODS: Data covering Covid-19, social determinants of health and minority status were included from 1 March 2020 to 28 February 2021. A systematic comparison of US and E.U. states enabled the projection of Covid-19 infection and death rates for minorities and non-minorities in E.U. states. RESULTS: The model predicted Covid-19 infection rates with 95-100% accuracy for 23 out of 28 E.U. states. Projections for Covid-19 infection and mortality rates among E.U. minority groups illustrate parallel trends to US rates. CONCLUSIONS: Disparities in Covid-19 infection and death rates by minority status likely exist in patterns similar to those observed in US data. Policy Implications: Collecting data by race/ethnicity in the E.U. would help document health disparities and craft more targeted health interventions and mitigation strategies.

A synthesis of evidence for policy from behavioural science during COVID-19.

Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations ('claims') detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims. We report the scale of evidence and whether evidence supports them to indicate applicability for policymaking. Two independent teams, involving 72 reviewers, found evidence for 18 of 19 claims, with both teams finding evidence supporting 16 (89%) of those 18 claims. The strongest evidence supported claims that anticipated culture, polarization and misinformation would be associated with policy effectiveness. Claims suggesting trusted leaders and positive social norms increased adherence to behavioural interventions also had strong empirical support, as did appealing to social consensus or bipartisan agreement. Targeted language in messaging yielded mixed effects and there were no effects for highlighting individual benefits or protecting others. No available evidence existed to assess any distinct differences in effects between using the terms 'physical distancing' and 'social distancing'. Analysis of 463 papers containing data showed generally large samples; 418 involved human participants with a mean of 16,848 (median of 1,699). That statistical power underscored improved suitability of behavioural science research for informing policy decisions. Furthermore, by implementing a standardized approach to evidence selection and synthesis, we amplify broader implications for advancing scientific evidence in policy formulation and prioritization.

Racial difference in mortality among COVID-19 hospitalizations in California.

In the US, racial disparities in hospital outcomes are well documented. We explored whether race was associated with all-cause in-hospital mortality and intensive care unit (ICU) admission among COVID-19 patients in California. This was a retrospective analysis of California State Inpatient Database during 2020. Hospitalizations ≥ 18 years of age for COVID-19 were included. Cox proportional hazards with mixed effects were used for associations between race and in-hospital mortality. Logistic regression was used for the association between race and ICU admission. Among 87,934 COVID-19 hospitalizations, majority were Hispanics (56.5%), followed by White (27.3%), Asian, Pacific Islander, Native American (9.9%), and Black (6.3%). Cox regression showed higher mortality risk among Hispanics, compared to Whites (hazard ratio, 0.91; 95% CI 0.87-0.96), Blacks (hazard ratio, 0.87; 95% CI 0.79-0.94), and Asian, Pacific Islander, Native American (hazard ratio, 0.89; 95% CI 0.83-0.95). Logistic regression showed that the odds of ICU admission were significantly higher among Hispanics, compared to Whites (OR, 1.70; 95% CI 1.67-1.74), Blacks (OR, 1.70; 95% CI 1.64-1.78), and Asian, Pacific Islander, Native American (OR, 1.82; 95% CI 1.76-1.89). We found significant disparities in mortality among COVID-19 hospitalizations in California. Hispanics were the worst affected with the highest mortality and ICU admission rates.

Impact of the COVID-19 Pandemic on Physical Activity among Mostly Older, Overweight Black Women Living in the Rural Alabama Black Belt.

Despite well-documented global declines in physical activity (PA) during the COVID-19 pandemic, little is known regarding the specific impact among underserved, rural Alabama counties. This is concerning as this region was already disproportionately burdened by inactivity and related chronic diseases and was among the hardest hit by COVID-19. Thus, the current study examined the effect of COVID-19 on PA in four rural Alabama counties. An ancillary survey was administered between March 2020 and August 2021 to the first cohort (N = 171) of participants enrolled in a larger PA trial. Main outcomes of this survey included the perceived impact of COVID-19 on PA, leisure-time PA, and social cognitive theory (SCT) constructs at 3 months. Almost half of the participants reported being less active during the pandemic (49.7%) and endorsed that COVID-19 made PA more difficult (47.4%), citing concerns such as getting sick from exercising outside of the home (70.4%) and discomfort wearing a face mask while exercising (58%). Perceived COVID-19 impact on PA was significantly associated with education, household dependents, and gender (p's < 0.05). More women, parents, and college graduates reported that the COVID-19 pandemic made PA more difficult. Overall, there were no significant associations between PA, SCT constructs, or perceived COVID-19 impact on PA scores at 3 months. While the pandemic made PA difficult for many participants, these barriers were not associated with leisure-time PA levels or related theoretical mechanisms of action, which bodes well for the success of our ongoing intervention efforts and the resiliency of these communities.

Disparities in outcomes between Black and White patients in North America with thoracic malignancies and COVID-19 infection (TERAVOLT).

BACKGROUND: Patients with thoracic malignancies who develop COVID-19 infection have a higher hospitalization rate compared to the general population and to those with other cancer types, but how this outcome differs by race and ethnicity is relatively understudied. METHODS: The TERAVOLT database is an international, multi-center repository of cross-sectional and longitudinal data studying the impact of COVID-19 on individuals with thoracic malignancies. Patients from North America with thoracic malignancies and confirmed COVID-19 infection were included for this analysis of racial and ethnic disparities. Patients with missing race data or races and ethnicities with fewer than 50 patients were excluded from analysis. Multivariable analyses for endpoints of hospitalization and death were performed on these 471 patients. RESULTS: Of the 471 patients, 73% were White and 27% were Black. The majority (90%) were non-Hispanic ethnicity, 5% were Hispanic, and 4% were missing ethnicity data. Black patients were more likely to have an Eastern Cooperative Oncology Group (ECOG) Performance Status ≥ 2 (p-value = 0.04). On multivariable analysis, Black patients were more likely than White patients to require hospitalization (Odds Ratio (OR): 1.69, 95% CI: 1.01-2.83, p-value = 0.044). These differences remained across different waves of the pandemic. However, no statistically significant difference in mortality was found between Black and White patients (OR 1.29, 95% CI: 0.69-2.40, p-value = 0.408). CONCLUSIONS: Black patients with thoracic malignancies who acquire COVID-19 infection are at a significantly higher risk of hospitalization compared to White patients, but there is no significant difference in mortality. The underlying drivers of racial disparity among patients with thoracic malignancies and COVID-19 infection require ongoing investigation.

Explaining COVID-19 related mortality disparities in American Indians and Alaska Natives.

American Indian and Alaska Native (AI/AN) individuals are more likely to die with COVID-19 than other groups, but there is limited empirical evidence to explain the cause of this inequity. The objective of this study was to determine whether medical comorbidities, area socioeconomic deprivation, or access to treatment can explain the greater COVID-19 related mortality among AI/AN individuals. The design was a retrospective cohort study of harmonized electronic health record data of all inpatients with COVID-19 from 21 United States health systems from February 2020 through January 2022. The mortality of AI/AN inpatients was compared to all Non-Hispanic White (NHW) inpatients and to a matched subsample of NHW inpatients. AI/AN inpatients were more likely to die during their hospitalization (13.2% versus 7.1%; odds ratio [OR] = 1.98, 95% confidence interval [CI] = 1.48, 2.65) than their matched NHW counterparts. After adjusting for comorbidities, area social deprivation, and access to treatment, the association between ethnicity and mortality was substantially reduced (OR 1.59, 95% CI 1.15, 2.22). The significant residual relation between AI/AN versus NHW status and mortality indicate that there are other important unmeasured factors that contribute to this inequity. This will be an important direction for future research.

County-level barriers in the COVID-19 vaccine coverage index and their associations with willingness to receive the COVID-19 vaccine across racial/ethnic groups in the U.S.

Background: County-level vaccination barriers (sociodemographic barriers, limited healthcare system resources, healthcare accessibility barriers, irregular healthcare seeking behaviors, history of low vaccination) may partially explain COVID-19 vaccination intentions among U.S. adults. This study examined whether county-level vaccination barriers varied across racial/ethnic groups in the U.S. and were associated with willingness to receive the COVID-19 vaccine. In addition, this study assessed whether these associations differed across racial/ethnic groups. Methods: This study used data from the REACH-US study, a large online survey of U.S. adults (N = 5,475) completed from January 2021-March 2021. County-level vaccination barriers were measured using the COVID-19 Vaccine Coverage Index. Ordinal logistic regression estimated associations between race/ethnicity and county-level vaccination barriers and between county-level vaccination barriers and willingness to receive the COVID-19 vaccine. Models adjusted for covariates (age, gender, income, education, political ideology, health insurance, high-risk chronic health condition). Multigroup analysis estimated whether associations between barriers and willingness to receive the COVID-19 vaccine differed across racial/ethnic groups. Results: American Indian/Alaska Native, Black/African American, Hispanic/Latino ELP [English Language Preference (ELP); Spanish Language Preference (SLP)], and Multiracial adults were more likely than White adults to live in counties with higher overall county-level vaccination barriers [Adjusted Odd Ratios (AORs):1.63-3.81]. Higher county-level vaccination barriers were generally associated with less willingness to receive the COVID-19 vaccine, yet associations were attenuated after adjusting for covariates. Trends differed across barriers and racial/ethnic groups. Higher sociodemographic barriers were associated with less willingness to receive the COVID-19 vaccine (AOR:0.78, 95% CI:0.64-0.94), whereas higher irregular care-seeking behavior was associated with greater willingness to receive the vaccine (AOR:1.20, 95% CI:1.04-1.39). Greater history of low vaccination was associated with less willingness to receive the COVID-19 vaccine among Black/African American adults (AOR:0.55, 95% CI:0.37-0.84), but greater willingness to receive the vaccine among American Indian/Alaska Native and Hispanic/Latino ELP adults (AOR:1.90, 95% CI:1.10-3.28; AOR:1.85, 95% CI:1.14-3.01). Discussion: Future public health emergency vaccination programs should include planning and coverage efforts that account for structural barriers to preventive healthcare and their intersection with sociodemographic factors. Addressing structural barriers to COVID-19 treatment and preventive services is essential for reducing morbidity and mortality in future infectious disease outbreaks.

No Kakou, Na Kakou - For Us, By Us: Native Hawaiians and Pacific Islanders Informing Race Data Collection Standards for Hawai'i.

This article describes recommendations for standardized race data collection developed by the Hawai'i Native Hawaiian and Pacific Islander COVID-19 Response, Recovery, and Resilience Team (NHPI 3R Team). These recommendations attempt to address the expressed desires of Native Hawaiians and the diverse Pacific Islander communities in Hawai'i who seek greater visibility in data and research. The Native Hawaiian and Pacific Islander (NHPI) racial category is 1 of the 5 racial categories listed in the 1997 Statistical Policy Directive #15 issued by the Office of Management and Budget (OMB). The OMB directive sets the minimum standard for collection of race data in federal surveys, administrative forms, records, and other data collection. The NHPI 3R Team's recommendation provides a standard for detailed data collection that could improve smaller communities' ability to identify, advocate for, and address their own needs. The article also describes lessons learned through the collaborative and iterative process that was led by members and leaders of NHPI communities impacted by data driven decisions and policies. The NHPI 3R Team focused on expanding and standardizing race data collection as part of their COVID-19 response efforts, but implementation of the recommendations could produce benefits well beyond the pandemic.

Income loss and subsequent poor psychological well-being among the Chinese population during the early COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has had major ramifications for health and the economy at both the individual and collective levels. This study examined exogenous negative changes in household income and their implications on psychological well-being (PWB) among the Chinese population during the COVID-19 pandemic. METHODS: Data were drawn from the early China COVID-19 Survey, a cross-sectional anonymous online survey administered to the general population in China. Self-reported PWB was measured using a 5-point Likert scale with five questions related to the participants' recent psychological state. Hierarchical multiple linear regression was employed to examine whether income loss during the COVID-19 pandemic was associated with poor psychological health. RESULTS: This study included 8,428 adults, of which 90% had suffered from a moderate or severe loss of household income due to the early COVID-19 pandemic. Those who had experienced moderate or severe loss of income scored significantly lower on psychological well-being than those who did not experience income loss (19.96 or 18.07 vs. 21.46; P < 0.001); after controlling for confounders, income loss was negatively associated with PWB scores (moderate income loss: B = - 0.603, P < 0.001; severe income loss: B = - 1.261, P < 0.001). An interaction effect existed between the degree of income loss and pre-pandemic income groups. Specifically, participants in the middle-income group who had suffered severe income loss scored the lowest on PWB (B = - 1.529, P < 0.001). There was also a main effect on income loss, such that participants with varying degrees of income loss differed across five dimensions, including anhedonia, sleep problems, irritability or anger, difficulty with concentration, and repeated disturbing dreams related to COVID-19. CONCLUSIONS: Income loss during the pandemic has had detrimental consequences on psychological well-being, and the magnitude of the impact of income loss on psychological well-being varied according to previous income levels. Future policy efforts should be directed toward improving the psychological well-being of the economically vulnerable and helping them recover from lost income in the shortest time possible.

The Shift: COVID-19-Associated Deaths are Now Trending Lower Among Blacks and Hispanics Compared to Whites.

BACKGROUND: Throughout the coronavirus (COVID-19) pandemic, research revealed people of color were more likely to be infected, have severe illness, and die due to the virus. However, some areas in the USA are now reporting a new shift; lower Black and Hispanic COVID-19 mortality rates compared to their White counterparts. Research indicates that this shift is the result of COVID-19's impact on disparities by race. In this paper, we analyze death data to determine if the new shift has occurred locally. Specifically, we examined COVID-19 prevalence and related death data in Connecticut by comparing race/ethnicity through two periods of time: one before and one after the first case of the Omicron variant of COVID-19. METHODS: This cross-sectional epidemiological analysis to examine cases and deaths by racial/ethnic status utilizes Connecticut data from March 2020 to February 2022. The following assumption is applied: expected pre-Omicron cases and deaths from March 5, 2020 to November 27, 2021 are equal to the number of cases and deaths during Omicron cases and deaths from November 28, 2021 to February 17, 2022. Race/ethnicity are operationalized as non-Hispanic White, non-Hispanic Black, and Hispanic. RESULTS: Pre-Omicron (March 5, 2020 to November 27, 2021) compared to the monthly aged adjusted COVID-19 case rate for Whites (394/10,000 populations), Blacks had a higher rate (501/10,000 populations), and Hispanics had the highest (585/10,000 populations). During the Omicron period (November 28 to February 17, 2022), significant changes in COVID-19 case rates were observed in all three ethnic groups, but the biggest changes were observed in Hispanics, followed by Blacks, and then Whites. The rate ratios further showed a remarkable reduction of 47% in case rates (from 1.0 pre-Omicron and from 1.47 during Omicron, p < 0.0001) for Hispanics, when compared to that of Whites. While Blacks showed a significant, smaller reduction of 5% in case rates (from 1.27 pre-Omicron and from 1.22 during the Omicron, p < 0.001) when compared to Whites. Regarding COVID-19-related mortality, the racial differences were similar. CONCLUSIONS AND RELEVANCE: By examining Connecticut's COVID-19 death and case data, this study identified the new shift that occurred locally. The current shift may be anchored in the evolution of the COVID-19 virus, public health guidelines/policies, and the degree to which populations have complied with public health recommendations.