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.].

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.

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.

Pregnant Women's Experiences During and After Hurricanes Irma and Maria, Pregnancy Risk Assessment Monitoring System, Puerto Rico, 2018.

OBJECTIVE: Exposure to natural disasters during and after pregnancy may increase adverse mental health outcomes. Hurricanes Irma and Maria struck Puerto Rico in September 2017. Our objectives were to understand hurricane-related experiences, maternal health concerns, and the impact of hurricane experiences on postpartum depressive symptoms (PDS). METHODS: We used data from the 2018 Pregnancy Risk Assessment Monitoring System to describe differences in maternal hurricane experiences among women who were pregnant during and after the 2017 hurricanes. We assessed maternal concerns and PDS. We estimated adjusted prevalence ratios (aPRs) and 95% CIs for the associations between hurricane experiences and PDS. RESULTS: The most frequently reported hurricane experiences were losing power for ≥1 week (97%) and feeling unsafe due to lack of order/security (70%). Almost 30% of women who were pregnant during the hurricanes reported missing prenatal care. PDS were reported by 13% of women. Most hurricane experiences were associated with an increased prevalence of PDS. Feeling unsafe (aPR = 2.4; 95% CI, 1.2-4.9) and having difficulty getting food (aPR = 2.1; 95% CI, 1.1-4.1) had the strongest associations. CONCLUSIONS: Most women who were pregnant during or after hurricanes Irma and Maria struck Puerto Rico reported negative hurricane experiences, and most experiences were associated with an increased prevalence of PDS. Understanding the experiences of pregnant women during and after disasters and identifying risks for adverse mental health outcomes after pregnancy are important to inform emergency preparedness and prenatal and postpartum care.

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.

Assessment of contraceptive use in Puerto Rico during the 2016 Zika virus outbreak.

OBJECTIVES: The objectives of this analysis were to 1) estimate prevalence of contraceptive use among women at risk for unintended pregnancy and 2) identify correlates of contraceptive use among women with ongoing or potential need for contraceptive services in Puerto Rico during the 2016 Zika virus (ZIKV) outbreak. STUDY DESIGN: We conducted a cell-phone survey July-November, 2016. Women aged 18-49 years living in Puerto Rico were eligible. We completed 3059 interviews; the overall response rate was 69.2%. After weighting, the data provide population-based estimates. For this analysis, we included women at risk for unintended pregnancy, and assessed ongoing or potential need for contraceptive services in this group, excluding women using permanent contraceptive methods. RESULTS: Most women reported using contraception (82.8%), and use increased with age. Female sterilization and male condoms were most frequently reported (40.8% and 17.1%, respectively). Among women with ongoing or potential need for contraceptive services, 24.7% talked to a healthcare provider about ZIKV, and 31.2% reported a change in childbearing intentions due to ZIKV. Most women were at least a little worried about getting infected with ZIKV (74.3%) or having a baby with a birth defect (80.9%). Being very worried about getting infected with ZIKV and already having Zika were significantly associated with use of any contraception (adjusted prevalence ratio: 1.19, 95% CI: 1.03-1.38 and 1.32, 95% CI: 1.01-1.72, respectively). CONCLUSIONS: These findings underscore the need for regular contraceptive prevalence studies to inform programs about contraceptive needs, especially during public health emergencies. IMPLICATIONS: When the 2016 Zika virus outbreak began in Puerto Rico there were no recent population-based data available on contraceptive prevalence. To fill this information gap, we conducted a population-based survey. Our findings provided baseline contraceptive prevalence estimates to support response planning and allocation of health resources.

Prevalence and Factors Associated With Safe Infant Sleep Practices.

OBJECTIVES: To examine prevalence of safe infant sleep practices and variation by sociodemographic, behavioral, and health care characteristics, including provider advice. METHODS: Using 2016 Pregnancy Risk Assessment Monitoring System data from 29 states, we examined maternal report of 4 safe sleep practices indicating how their infant usually slept: (1) back sleep position, (2) separate approved sleep surface, (3) room-sharing without bed-sharing, and (4) no soft objects or loose bedding as well as receipt of health care provider advice corresponding to each sleep practice. RESULTS: Most mothers reported usually placing their infants to sleep on their backs (78.0%), followed by room-sharing without bed-sharing (57.1%). Fewer reported avoiding soft bedding (42.4%) and using a separate approved sleep surface (31.8%). Reported receipt of provider advice ranged from 48.8% (room-sharing without bed-sharing) to 92.6% (back sleep position). Differences by sociodemographic, behavioral, and health care characteristics were larger for safe sleep practices (∼10-20 percentage points) than receipt of advice (∼5-10 percentage points). Receipt of provider advice was associated with increased use of safe sleep practices, ranging from 12% for room-sharing without bed-sharing (adjusted prevalence ratio: 1.12; 95% confidence interval: 1.09-1.16) to 28% for back sleep position (adjusted prevalence ratio: 1.28; 95% confidence interval: 1.21-1.35). State-level differences in safe sleep practices spanned 20 to 25 percentage points and did not change substantially after adjustment for available characteristics. CONCLUSIONS: Safe infant sleep practices, especially those other than back sleep position, are suboptimal, with demographic and state-level differences indicating improvement opportunities. Receipt of provider advice is an important modifiable factor to improve infant sleep practices.

Public Health Approach to Addressing the Needs of Children Affected by Congenital Zika Syndrome.

We have learned much about the short-term sequelae of congenital Zika virus (ZIKV) infection since the Centers for Disease Control and Prevention activated its ZIKV emergency response in January 2016. Nevertheless, gaps remain in our understanding of the full spectrum of adverse health outcomes related to congenital ZIKV infection and how to optimize health in those who are affected. To address the remaining knowledge gaps, support affected children so they can reach their full potential, and make the best use of available resources, a carefully planned public health approach in partnership with pediatric health care providers is needed. An essential step is to use population-based data captured through surveillance systems to describe congenital Zika syndrome. Another key step is using collected data to investigate why some children exhibit certain sequelae during infancy and beyond, whereas others do not, and to describe the clustering of anomalies and the timing of when these anomalies occur, among other research questions. The final critical step in the public health framework for congenital Zika syndrome is an intervention strategy with evidence-based best practices for longer-term monitoring and care. Adherence to recommended evaluation and management procedures for infants with possible congenital ZIKV infection, including for those with less obvious developmental and medical needs at birth, is essential. It will take many years to fully understand the effects of ZIKV on those who are congenitally infected; however, the lifetime medical and educational costs as well as the emotional impact on affected children and families are likely to be substantial.

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.

Estimating Contraceptive Needs and Increasing Access to Contraception in Response to the Zika Virus Disease Outbreak--Puerto Rico, 2016.

Zika virus is a flavivirus transmitted primarily by Aedes species mosquitoes. Increasing evidence links Zika virus infection during pregnancy to adverse pregnancy and birth outcomes, including pregnancy loss, intrauterine growth restriction, eye defects, congenital brain abnormalities, and other fetal abnormalities. The virus has also been determined to be sexually transmitted. Because of the potential risks associated with Zika virus infection during pregnancy, CDC has recommended that health care providers discuss prevention of unintended pregnancy with women and couples who reside in areas of active Zika virus transmission and do not want to become pregnant. However, limitations in access to contraception in some of these areas might affect the ability to prevent an unintended pregnancy. As of March 16, 2016, the highest number of Zika virus disease cases in the United States and U.S. territories were reported from Puerto Rico. The number of cases will likely rise with increasing mosquito activity in affected areas, resulting in increased risk for transmission to pregnant women. High rates of unintended and adolescent pregnancies in Puerto Rico suggest that, in the context of this outbreak, access to contraception might need to be improved. CDC estimates that 138,000 women of reproductive age (aged 15-44 years) in Puerto Rico do not desire pregnancy and are not using one of the most effective or moderately effective contraceptive methods, and therefore might experience an unintended pregnancy. CDC and other federal and local partners are seeking to expand access to contraception for these persons. Such efforts have the potential to increase contraceptive access and use, reduce unintended pregnancies, and lead to fewer adverse pregnancy and birth outcomes associated with Zika virus infection during pregnancy. The assessment of challenges and resources related to contraceptive access in Puerto Rico might be a useful model for other areas with active transmission of Zika virus.

Disparities in mortality rates among US infants born late preterm or early term, 2003-2005.

The purpose of this study was to identify disparities in neonatal, post-neonatal, and overall infant mortality rates among infants born late preterm (34-36 weeks gestation) and early term (37-38 weeks gestation) by race/ethnicity, maternal age, and plurality. In analyses of 2003-2005 data from US period linked birth/infant death datasets, we compared infant mortality rates by race/ethnicity, maternal age, and plurality among infants born late preterm or early term and also determined the leading causes of death among these infants. Among infants born late preterm, infants born to American Indian/Alaskan Native, non-Hispanic black, or teenage mothers had the highest infant mortality rates per 1,000 live births (14.85, 9.90, and 11.88 respectively). Among infants born early term, corresponding mortality rates were 5.69, 4.49, and 4.82, respectively. Among infants born late preterm, singletons had a higher infant mortality rate than twins (8.59 vs. 5.62), whereas among infants born early term, the rate was higher among twins (3.67 vs. 3.15). Congenital malformations and sudden infant death syndrome were the leading causes of death among both late preterm and early term infants. Infant mortality rates among infants born late preterm or early term varied substantially by maternal race/ethnicity, maternal age, and plurality. Information about these disparities may help in the development of clinical practice and prevention strategies targeting infants at highest risk.

The sudden unexpected infant death case registry: a method to improve surveillance.

This article describes a multistate population-based surveillance system for monitoring sudden unexpected infant deaths (SUIDs) known as the SUID Case Registry pilot program. The pilot program represents collaboration between the Centers for Disease Control and Prevention and the National Center for Child Death Review (NCCDR), which is funded by the Health Resources and Services Administration. The SUID Case Registry builds on existing child death review system activities and protocols. The objectives of the SUID Case Registry are to collect accurate and consistent population-based data about the circumstances and events associated with SUID cases, to improve the completeness and quality of SUID case investigations, and to use a decision-making algorithm with standardized definitions to categorize SUID cases. States who participate in the pilot program commit to review all SUID cases in their state by using their multidisciplinary state and local child death review teams. These teams request and review data from death scene investigators, medical examiners and coroners, law enforcement, social services, pediatric and obstetric providers, and public health per usual, but as part of the pilot program, supplement their SUID case reviews by discussing additional medical, environmental, and behavioral factors, and entering this data using the NCCDR Web-based Case Reporting System. This new surveillance system aims to improve knowledge of factors surrounding SUID events and improve investigation practices. The surveillance system will allow researchers and program planners to create prevention strategies and interventions, ultimately reducing SUIDs and injury-related infant deaths.

Modeling the principles of community-based participatory research in a community health assessment conducted by a health foundation.

The authors discuss strategies used and lessons learned by a health foundation during development of a community health assessment model incorporating community-based participatory research (CBPR) approaches. The assessment model comprises three models incorporating increasing amounts of CPBR principles. Model A combines local-area analysis of quantitative data, qualitative information (key informants, focus groups), and asset mapping. Model B, a community-based participatory model, emphasizes participatory rural appraisal approaches and quantitative assessment using rapid epidemiological assessment. Model C, a modified version of Model B, is financially more sustainable for our needs than Model B. The authors (a) describe origins of these models and illustrate practical applications and (b) explore the lessons learned in their transition from a traditional, nonparticipatory, quantitative approach to participatory approaches to community-health assessment. It is hoped that this article will contribute to the growing body of knowledge of practical aspects of incorporating CBPR approaches into community health assessments.

The impact of pregnancy intention on breastfeeding duration in Bolivia and Paraguay.

Research has demonstrated that prolonged duration of breastfeeding promotes child survival. This study examines the impact of unintended--mistimed or unwanted--pregnancy on breastfeeding duration. We use data from the 1990 Paraguay and 1994 Bolivia Demographic and Health Surveys and restrict our analysis to last-born, surviving children younger than 36 months from singleton births. To assess the association, unintended and intended pregnancies are compared by calculating incidence rates and adjusted hazard ratios (aHR) using survival analysis. Most children (approximately 95 percent) were breastfed initially, but the median duration of breastfeeding in Bolivia was five months longer than that in Paraguay (19 versus 14 months). A greater proportion of pregnancies were described as intended in Paraguay than in Bolivia (74 percent versus 45 percent). In adjusted analyses, unwanted and mistimed pregnancies were associated with slightly longer duration of breastfeeding (aHR = 0.9) than were intended pregnancies, but the association was not statistically significant. In this study, therefore, pregnancy intention was not an important factor in duration of breastfeeding in Bolivia or Paraguay.