Understanding three approaches to reporting sudden unexpected infant death in the USA.

INTRODUCTION: In the USA each year, there are approximately 3400 sudden unexpected infant (<1 year of age) deaths (SUID) which occur without an obvious cause before an investigation. SUID includes the causes of death (COD) undetermined/unknown, sleep-related suffocation/asphyxia and sudden infant death syndrome (SIDS); these are often called SUID subtypes. Three common ways SUID subtypes are grouped (SUID subtype groups) include International Classification of Diseases (ICD) Codes, SUID Case Registry Categories or Child Death Review (CDR)-Assigned Causes. These groups are often used to monitor SUID trends and characteristics at the local, state and national levels. We describe and compare the characteristics of these three SUID subtype groups. DISCUSSION: SUID subtype groups are distinct and not directly interchangeable. They vary in purpose, strengths, limitations, uses, history, data years available, population coverage, assigning entity, guidance documentation and information available to assign subtypes. CONCLUSION: Making informed decisions about which SUID subtype group to use is important for reporting statistics, increasing knowledge of SUID epidemiology and informing prevention strategies.

Participation in survey research among mothers with a recent live birth: A comparison of mothers with living versus deceased infants - Findings from the Pregnancy Risk Assessment Monitoring System, 2016-2019.

BACKGROUND: Despite high infant mortality rates in the United States relative to other developed countries, little is known about survey participation among mothers of deceased infants. OBJECTIVE: To assess differences in survey response, contact and cooperation rates for mothers of deceased versus. living infants at the time of survey mailing (approximately 2-6 months postpartum), overall and by select maternal and infant characteristics. METHODS: We analysed 2016-2019 data for 50 sites from the Pregnancy Risk Assessment Monitoring System (PRAMS), a site-specific, population-based surveillance system of mothers with a recent live birth. We assessed differences in survey participation between mothers of deceased and living infants. Using American Association for Public Opinion Research (AAPOR) standard definitions and terminology, we calculated proportions of mothers who participated and were successfully contacted among sampled mothers (weighted response and contact rates, respectively), and who participated among contacted mothers (weighted cooperation rate). We then constructed multivariable survey-weighted logistic regression models to examine the adjusted association between infant vital status and weighted response, contact and cooperation rates, within strata of maternal and infant characteristics. RESULTS: Among sampled mothers, 0.3% (weighted percentage, n = 2795) of infants had records indicating they were deceased at the time of survey mailing and 99.7% (weighted percentage, n = 344,379) did not. Mothers of deceased infants had lower unadjusted weighted response (48.3% vs. 56.2%), contact (67.9% vs. 74.3%) and cooperation rates (71.1% vs. 75.6%). However, after adjusting for covariates, differences in survey participation by infant vital status were reduced. CONCLUSIONS: After covariate adjustment, differences in PRAMS participation rates were attenuated. However, participation rates among mothers of deceased infants remain two to four percentage points lower compared with mothers of living infants. Strategies to increase PRAMS participation could inform knowledge about experiences and behaviours before, during and shortly after pregnancy to help reduce infant mortality.

Pediatric COVID-19 Cases in Counties With and Without School Mask Requirements - United States, July 1-September 4, 2021.

Consistent and correct mask use is a critical strategy for preventing the transmission of SARS-CoV-2, the virus that causes COVID-19 (1). CDC recommends that schools require universal indoor mask use for students, staff members, and others in kindergarten through grade 12 (K-12) school settings (2). As U.S. schools opened for the 2021-22 school year in the midst of increasing community spread of COVID-19, some states, counties, and school districts implemented mask requirements in schools. To assess the impact of masking in schools on COVID-19 incidence among K-12 students across the United States, CDC assessed differences between county-level pediatric COVID-19 case rates in schools with and without school mask requirements.

COVID-19-Related School Closures and Learning Modality Changes - United States, August 1-September 17, 2021.

Beginning in January 2021, the U.S. government prioritized ensuring continuity of learning for all students during the COVID-19 pandemic (1). To estimate the extent of COVID-19-associated school disruptions, CDC and the Johns Hopkins University Applied Physics Laboratory used a Hidden Markov Model (HMM) (2) statistical approach to estimate the most likely actual learning modality based on patterns observed in past data, accounting for conflicting or missing information and systematic Internet searches (3) for COVID-19-related school closures. This information was used to assess how many U.S. schools were open, and in which learning modalities, during August 1-September 17, 2021. Learning modalities included 1) full in-person learning, 2) a hybrid of in-person and remote learning, and 3) full remote learning.

Racial and Ethnic Differences in Parental Attitudes and Concerns About School Reopening During the COVID-19 Pandemic - United States, July 2020.

In light of the disproportionate risk of hospitalization and death attributable to coronavirus disease 2019 (COVID-19) among racial and ethnic minority groups, parental attitudes and concerns regarding school reopening were assessed by race and ethnicity using data from three online CARAVAN omnibus surveys conducted during July 8-12, 2020, by ENGINE Insights.* Survey participants included 858 parents who had children and adolescents in kindergarten through grade 12 (school-aged children) living in their household. Overall, 56.5% of parents strongly or somewhat agreed that school should reopen this fall, with some differences by race/ethnicity: compared with 62.3% of non-Hispanic White (White) parents, 46.0% of non-Hispanic Black or African American (Black) parents (p = 0.007) and 50.2% of Hispanic parents (p = 0.014) agreed that school should reopen this fall. Fewer White parents (62.5%) than Hispanic (79.5%, p = 0.026) and non-Hispanic parents of other racial/ethnic groups (66.9%, p = 0.041) were supportive of a mask mandate for students and staff members. Understanding parental attitudes and concerns is critical to informing communication and messaging around COVID-19 mitigation. Families' concerns also highlight the need for flexible education plans and equitable resource provision so that youth education is not compromised.

U-Shaped Pillows and Sleep-Related Infant Deaths, United States, 2004-2015.

OBJECTIVES: To describe infant deaths where a u-shaped pillow was under or around an infant and to describe cases classified as Explained Suffocation. METHODS: We examined demographics and circumstances of 141 infant deaths during 2004-2015 in the US National Fatality Review Case Reporting System with u-shaped pillows in the sleep environment. RESULTS: Most infants were < 6 months old (92%), male (58%), non-Hispanic White (53%), and of the nine explained suffocation deaths, four occurred when the u-shaped pillow obstructed the infant's airway; five occurred when the infant rolled off the pillow and their airway was obstructed by another object. CONCLUSIONS FOR PRACTICE: Although infrequent, infant deaths with u-shaped pillows have occurred. Health care providers may include discussion of the importance of caregivers following infant product packaging precautions and warning labels for commonly used consumer products, such as u-shaped pillows in their advice to caregivers.

Protocols, practices, and needs for investigating sudden unexpected infant deaths.

Understanding case identification practices, protocols, and training needs of medical examiners and coroners (MEC) may inform efforts to improve cause-of-death certification. We surveyed a U.S.-representative sample of MECs and described investigation practices and protocols used in certifying sudden unexpected infant deaths (SUID). We also identified MEC training and resource needs. Of the 377 respondents, use of the SUID Investigation Reporting Form or an equivalent was 89% for large, 87% for medium, and 52% for small jurisdictions. Routine completion of infant medical history, witness interviews, autopsy, photos or videos, and family social history for infant death investigations was ≥80%, but routine scene re-creation with a doll was 30% in small, 64% in medium, and 59% in large offices. Seventy percent of MECs reported infant death investigation training needs. Increased training and use of standardized practices may improve SUID cause-of-death certification, allowing us to better understand SUID.

Vital Signs: Trends and Disparities in Infant Safe Sleep Practices - United States, 2009-2015.

INTRODUCTION: There have been dramatic improvements in reducing infant sleep-related deaths since the 1990s, when recommendations were introduced to place infants on their backs for sleep. However, there are still approximately 3,500 sleep-related deaths among infants each year in the United States, including those from sudden infant death syndrome, accidental suffocation and strangulation in bed, and unknown causes. Unsafe sleep practices, including placing infants in a nonsupine (on side or on stomach) sleep position, bed sharing, and using soft bedding in the sleep environment (e.g., blankets, pillows, and soft objects) are modifiable risk factors for sleep-related infant deaths.

Death Scene Investigation and Autopsy Practices in Sudden Unexpected Infant Deaths.

OBJECTIVE: To describe and compare sudden unexpected infant death (SUID) investigations among states participating in the SUID Case Registry from 2010 through 2012. STUDY DESIGN: We analyzed observational data from 770 SUID cases identified and entered into the National Child Death Review Case Reporting System. We examined data on autopsy and death scene investigation (DSI) components, including key information about the infant sleep environment. We calculated the percentage of components that were complete, incomplete, and missing/unknown. RESULTS: Most cases (98%) had a DSI. The DSI components most frequently reported as done were the narrative description of the circumstances (90%; range, 85%-99%), and witness interviews (88%, range, 85%-98%). Critical information about 10 infant sleep environment components was available for 85% of cases for all states combined. All 770 cases had an autopsy performed. The autopsy components most frequently reported as done were histology, microbiology, and other pathology (98%; range, 94%-100%) and toxicology (97%; range, 94%-100%). CONCLUSIONS: This study serves as a baseline to understand the scope of infant death investigations in selected states. Standardized and comprehensive DSI and autopsy practices across jurisdictions and states may increase knowledge about SUID etiology and also lead to an improved understanding of the cause-specific SUID risk and protective factors. Additionally, these results demonstrate practices in the field showing what is feasible in these select states. We encourage pediatricians, forensic pathologists, and other medicolegal experts to use these findings to inform system changes and improvements in DSI and autopsy practices and SUID prevention efforts.

Suicidal ideation, suicide attempt, and occupations among employed adults aged 18-64years in the United States.

OBJECTIVE: Approximately 70% of all US suicides are among working-age adults. This study was to determine whether and how 12-month suicidal ideation and suicide attempt were associated with specific occupations among currently employed adults aged 18-64 in the U.S. METHODS: Data were from 184,300 currently employed adults who participated in the 2008-2013 National Surveys on Drug Use and Health (NSDUH). NSDUH provides nationally representative data on suicidal ideation and suicide attempt. Descriptive analyses and multivariable logistic regressions were conducted. RESULTS: Among currently employed adults aged 18-64 in the U.S., 3.5% had suicidal ideation in the past 12months (3.1% had suicidal ideation only, and 0.4% had suicidal ideation and attempted suicide). Compared with adults in farming, fishing, and forestry occupations (model adjusted prevalence (MAP)=1.6%), adults in the following occupations were 3.0-3.6 times more likely to have suicidal ideation in the past year (model adjusted relative risks (MARRs)=3.0-3.6): lawyers, judges, and legal support workers (MAP=4.8%), social scientists and related workers (MAP=5.4%), and media and communication workers (MAP=5.8%). CONCLUSIONS: Among employed adults aged 18-64 in the U.S., the 12-month prevalence of suicidal ideation varies by occupations. Adults in occupations that are at elevated risk for suicidal ideation may warrant focused suicide prevention.

Assessing the accuracy of the International Classification of Diseases codes to identify abusive head trauma: a feasibility study.

OBJECTIVE: To assess the accuracy of an International Classification of Diseases (ICD) code-based operational case definition for abusive head trauma (AHT). METHODS: Subjects were children <5 years of age evaluated for AHT by a hospital-based Child Protection Team (CPT) at a tertiary care paediatric hospital with a completely electronic medical record (EMR) system. Subjects were designated as non-AHT traumatic brain injury (TBI) or AHT based on whether the CPT determined that the injuries were due to AHT. The sensitivity and specificity of the ICD-based definition were calculated. RESULTS: There were 223 children evaluated for AHT: 117 AHT and 106 non-AHT TBI. The sensitivity and specificity of the ICD-based operational case definition were 92% (95% CI 85.8 to 96.2) and 96% (95% CI 92.3 to 99.7), respectively. All errors in sensitivity and three of the four specificity errors were due to coder error; one specificity error was a physician error. CONCLUSIONS: In a paediatric tertiary care hospital with an EMR system, the accuracy of an ICD-based case definition for AHT was high. Additional studies are needed to assess the accuracy of this definition in all types of hospitals in which children with AHT are cared for.

Neighborhood Deprivation and Privilege: an Examination of Racialized-Economic Segregation and Preterm Birth, Florida 2019.

The Black-White disparity in preterm birth persists and is not fully explained by individual-level social, behavioral, or clinical risk factors. Consequently, there is increasing emphasis on understanding the role of structural and area-level factors. Racialized-economic segregation measured as the index of concentration at the extremes (ICE) simultaneously captures extremes of deprivation and privilege. Our objective was to examine associations between preterm birth (PTB) and the index of concentration at the extremes (ICE). In this cross-sectional study, we analyzed 193,957 Florida birth records from 2019 linked to 2015-2019 census tract data from the American Community Survey. We assessed PTB (< 37 weeks gestation) by subtypes: (1) early (< 34 weeks) and late (34-36 weeks) and (2) spontaneous and indicated (i.e., provider-initiated) deliveries. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for three ICE measures: (1) ICE_INC: income, (2) INC_INC + WB: income + race/ethnicity (non-Hispanic White vs. Black), and (3) INC_INC + WH: income + race/ethnicity (non-Hispanic White vs. Hispanic). Results. For ICE_INC and INC_INC + WB, aORs for residing in the worst-off vs. best-off areas were 1.25 (95% CI: 1.12, 1.46) and 1.21 (95% CI: 1.07, 1.37) for early PTB, respectively, and 1.16 (95% CI: 1.05, 1.28) to 1.22 (95% CI: 1.12, 1.34) for indicated PTB. In conclusion, deprivation captured by ICE was associated with increased odds of early or indicated PTB. Eliminating PTB disparities may require a multifaceted approach that includes addressing the interplay between income and race/ethnicity in residential areas.

Characteristics of Sudden Unexpected Infant Deaths on Shared and Nonshared Sleep Surfaces.

OBJECTIVES: Describe characteristics of sudden unexpected infant deaths (SUID) occurring on shared or nonshared sleep surfaces. METHODS: We examined SUID among residents of 23 US jurisdictions who died during 2011 to 2020. We calculated frequencies and percentages of demographic, sleep environment, and other characteristics by sleep surface sharing status and reported differences of at least 5% between surface sharing and nonsharing infants. RESULTS: Of 7595 SUID cases, 59.5% were sleep surface sharing when they died. Compared with nonsharing infants, sharing infants were more often aged 0 to 3 months, non-Hispanic Black, publicly insured, found supine, found in an adult bed or chair/couch, had a higher number of unsafe sleep factors present, were exposed to maternal cigarette smoking prenatally, were supervised by a parent at the time of death, or had a supervisor who was impaired by drugs or alcohol at the time of death. At least 76% of all SUID had multiple unsafe sleep factors present. Among surface-sharing SUID, most were sharing with adults only (68.2%), in an adult bed (75.9%), and with 1 other person (51.6%). Surface sharing was more common among multiples than singletons. CONCLUSIONS: Among SUID, surface sharing and nonsharing infants varied by age at death, race and ethnicity, insurance type, presence of unsafe sleep factors, prenatal smoke exposure, and supervisor impairment. Most SUID, regardless of sleep location, had multiple unsafe sleep factors present, demonstrating the need for comprehensive safe sleep counseling for every family at every encounter.

Correction: Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model.

[This corrects the article DOI: 10.1371/journal.pone.0292354.].

Investigation of a Chlamydia pneumoniae outbreak in a Federal correctional facility in Texas.

BACKGROUND: Chlamydia pneumoniae illness is poorly characterized, particularly as a sole causative pathogen. We investigated a C. pneumoniae outbreak at a federal correctional facility. METHODS: We identified inmates with acute respiratory illness (ARI) from 1 November 2009 to 24 February 2010 through clinic self-referral and active case finding. We tested oropharyngeal and/or nasopharyngeal swabs for C. pneumoniae by real-time polymerase chain reaction (qPCR) and serum samples by microimmunofluorescence. Cases were inmates with ARI and radiologically confirmed pneumonia, positive qPCR, or serological evidence of recent infection. Swabs from 7 acutely ill inmates were tested for 18 respiratory pathogens using qPCR TaqMan Array Cards (TACs). Follow-up swabs from case patients were collected for up to 8 weeks. RESULTS: Among 33 self-referred and 226 randomly selected inmates, 52 (20.1%) met the case definition; pneumonia was confirmed in 4 by radiology only, in 9 by qPCR only, in 17 by serology only, and in 22 by both qPCR and serology. The prison attack rate was 10.4% (95% confidence interval, 7.0%-13.8%). White inmates and residents of housing unit Y were at highest risk. TAC testing detected C. pneumoniae in 4 (57%) inmates; no other causative pathogens were identified. Among 40 inmates followed prospectively, C. pneumoniae was detected for up to 8 weeks. Thirteen (52%) of 25 inmates treated with azithromycin continued to be qPCR positive >2 weeks after treatment. CONCLUSIONS: Chlamydia pneumoniae was the causative pathogen of this outbreak. Higher risk among certain groups suggests that social interaction contributed to transmission. Persistence of C. pneumoniae in the oropharynx creates challenges for outbreak control measures.

Epidemiological investigation of a youth suicide cluster: Delaware 2012.

UNLABELLED: In the first quarter of 2012, eight youth (aged 13-21 years) were known to have died by suicide in Kent and Sussex counties, Delaware, twice the typical median yearly number. State and local officials invited the Centers for Disease Control and Prevention to assist with an epidemiological investigation of fatal and nonfatal youth suicidal behaviors in the first quarter of 2012, to examine risk factors, and to recommend prevention strategies. METHODS: Data were obtained from the Delaware Office of the Medical Examiner, law enforcement, emergency departments, and inpatient records. Key informants from youth-serving organizations in the community were interviewed to better understand local context and perceptions of youth suicide. RESULTS: Eleven fatal and 116 nonfatal suicide attempts were identified for the first quarter of 2012 in Kent and Sussex counties. The median age was higher for the fatalities (18 years) than the nonfatal attempts (16 years). More males died by suicide, and more females nonfatally attempted suicide. Fatal methods were either hanging or firearm, while nonfatal methods were diverse, led by overdose/poisoning and cutting. All decedents had two or more precipitating circumstances. Seventeen of 116 nonfatal cases reported that a peer/friend recently died by or attempted suicide. Local barriers to youth services and suicide prevention were identified. DISCUSSION: Several features were similar to previous clusters: Occurrence among vulnerable youth, rural or suburban setting, and precipitating negative life events. Distribution by sex and method were consistent with national trends for both fatalities and nonfatalities. References to the decedents in the context of nonfatal attempts support the concept of 'point clusters' (social contiguity to other suicidal youth as a risk factor for vulnerable youth) as a framework for understanding clustering of youth suicidal behavior. Recommended prevention strategies included: Training to identify at-risk youth and guide them to services; development of youth programs; monitoring trends in youth suicidal behaviors; reviewing evidence-based suicide prevention strategies; and continued implementation of CDC media guidelines for reporting on suicide.

Risk Factors for Suffocation and Unexplained Causes of Infant Deaths.

BACKGROUND: Observational studies have improved our understanding of the risk factors for sudden infant death syndrome, but separate examination of risk for sleep-related suffocation and unexplained infant deaths has been limited. We examined the association between unsafe infant sleep practices and sudden infant deaths (sleep-related suffocation and unexplained causes including sudden infant death syndrome). METHODS: We conducted a population-based case-control study using 2016 to 2017 Centers for Disease Control and Prevention data. Controls were liveborn infants from the Pregnancy Risk Assessment Monitoring System; cases were from the Sudden Unexpected Infant Death Case Registry. We calculated risk factor prevalence among cases and controls and crude and adjusted odds ratios. RESULTS: We included 112 sleep-related suffocation cases with 448 age-matched controls and 300 unexplained infant death cases with 1200 age-matched controls. Adjusted odds for sleep-related suffocation ranged from 18.7 (95% confidence interval [CI]: 6.8-51.3) among infants not sharing a room with their mother or caregiver to 1.9 (95% CI: 0.9-4.1) among infants with nonsupine sleep positioning. Adjusted odds for unexplained death ranged from 7.6 (95% CI: 4.7-12.2) among infants not sharing a room with their mother or caregiver to 1.6 (95% CI: 1.1-2.4) among nonsupine positioned infants. COCLUSIONS: We confirmed previously identified risk factors for unexplained infant death and independently estimated risk factors for sleep-related suffocation. Significance of associations for suffocation followed similar patterns but was of larger magnitude. This information can be used to improve messaging about safe infant sleep.

Associations Between Breastfeeding and Post-perinatal Infant Deaths in the U.S.

INTRODUCTION: Initiation of breastfeeding has been associated with reduced post-perinatal infant mortality. Although most states have initiatives to protect, promote, and support breastfeeding, no analysis of the association between breastfeeding and infant mortality has been conducted at the state and regional levels. To understand the associations between breastfeeding and post-perinatal infant mortality, the initiation of breastfeeding with post-perinatal infant mortality was analyzed by geographic region and individual states within each region. METHODS: This study was a prospective cohort analysis linking U.S. national birth and post-perinatal infant death data for nearly 10 million infants born in 2016-2018, who were then followed for one year after birth and analyzed in 2021-2022. RESULTS: A total of 9,711,567 live births and 20,632 post-perinatal infant deaths from 48 states and the District of Columbia were included in the analysis. The overall AOR and 95% CIs for breastfeeding initiation with post-perinatal infant mortality was 0.67 (0.65, 0.69, p<0.0001) for days 7-364. All seven U.S. geographic regions had significant reductions in postperinatal infant deaths associated with breastfeeding initiation; Mid-Atlantic and Northeast regions had the largest reductions with AOR of 0.56 (95% CI=0.51, 0.61, p<0.001 and 0.50, 0.63, p<0.001, respectively), whereas the Southeast had the smallest reduction with AOR of 0.79 (95% CI=0.75, 0.84, p<0.001). Statistically significant results were noted for 35 individual states for reduction in total post-perinatal infant deaths. CONCLUSIONS: Although regional and state variation in the magnitude of the association between breastfeeding and infant mortality exists, the consistency of reduced risk, together with existing literature, suggests that breastfeeding promotion and support may be a strategy to reduce infant mortality in the U.S.

Sudden Unexpected Infant Deaths: 2015-2020.

OBJECTIVE: Although the US infant mortality rate reached a record low in 2020, the sudden infant death syndrome (SIDS) rate increased from 2019. To understand if the increase was related to changing death certification practices or the coronavirus disease 2019 (COVID-19) pandemic, we examined sudden unexpected infant death (SUID) rates as a group, by cause, and by race and ethnicity. METHODS: We estimated SUID rates during 2015 to 2020 using US period-linked birth and death data. SUID included SIDS, unknown cause, and accidental suffocation and strangulation in bed. We examined changes in rates from 2019 to 2020 and assessed linear trends during prepandemic (2015-2019) using weighted least squares regression. We also assessed race and ethnicity trends and quantified COVID-19-related SUID. RESULTS: Although the SIDS rate increased significantly from 2019 to 2020 (P < .001), the overall SUID rate did not (P = .24). The increased SIDS rate followed a declining linear trend in SIDS during 2015 to 2019 (P < .001). Other SUID causes did not change significantly. Our race and ethnicity analysis showed SUID rates increased significantly for non-Hispanic Black infants from 2019 to 2020, widening the disparities between these two groups during 2017 to 2019. In 2020, <10 of the 3328 SUID had a COVID-19 code. CONCLUSIONS: Diagnositic shifting likely explained the increased SIDS rate in 2020. Why the SUID rate increased for non-Hispanic Black infants is unknown, but warrants continued monitoring. Interventions are needed to address persistent racial and ethnic disparities in SUID.

Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model.

During the COVID-19 pandemic, many public schools across the United States shifted from fully in-person learning to alternative learning modalities such as hybrid and fully remote learning. In this study, data from 14,688 unique school districts from August 2020 to June 2021 were collected to track changes in the proportion of schools offering fully in-person, hybrid and fully remote learning over time. These data were provided by Burbio, MCH Strategic Data, the American Enterprise Institute's Return to Learn Tracker and individual state dashboards. Because the modalities reported by these sources were incomplete and occasionally misaligned, a model was needed to combine and deconflict these data to provide a more comprehensive description of modalities nationwide. A hidden Markov model (HMM) was used to infer the most likely learning modality for each district on a weekly basis. This method yielded higher spatiotemporal coverage than any individual data source and higher agreement with three of the four data sources than any other single source. The model output revealed that the percentage of districts offering fully in-person learning rose from 40.3% in September 2020 to 54.7% in June of 2021 with increases across 45 states and in both urban and rural districts. This type of probabilistic model can serve as a tool for fusion of incomplete and contradictory data sources in order to obtain more reliable data in support of public health surveillance and research efforts.