Disaggregation of Breastfeeding Initiation Rates by Race and Ethnicity - United States, 2020-2021.

Introduction: Although breastfeeding is the ideal source of nutrition for most infants, racial and ethnic disparities exist in its initiation. Surveillance rates based on aggregated data can challenge the understanding and monitoring of effective, culturally appropriate interventions among racial and ethnic subgroups. Aggregated data have historically estimated breastfeeding rates among a few large racial and ethnic groups. We examined differences in breastfeeding initiation rates by disaggregation of data to finer subgroups of race and ethnicity. Methods: We analyzed births from January 1, 2020, through December 31, 2021, in 48 states and the District of Columbia by using National Vital Statistics System birth certificate data. Data indicate whether an infant received any breast milk during birth hospitalization and include self-reported maternal race and ethnicity. Cross-tabulations of race and ethnicity by breastfeeding initiation were calculated and compared across aggregated and disaggregated categories. Results: The overall prevalence of breastfeeding initiation was 84.0%, ranging from 74.5% (mothers identifying as Black) to 94.0% (mothers identifying as Japanese). The aggregated prevalence of breastfeeding initiation among mothers identifying as Hispanic was 86.8%; disaggregated estimates by Hispanic origin ranged from 82.2% (Puerto Rican) to 90.9% (Cuban). Conclusion: Substantial variation in the prevalence of breastfeeding initiation across disaggregated racial or ethnic categories exists. Disaggregation of racial and ethnic data unmasked differences that could reflect variations in cultural practices or systemic barriers to breastfeeding. Understanding why these differences exist could guide public health practitioners' efforts to improve and tailor breastfeeding support.

Assessment of Chemical Exposures Investigation After Fire at an Industrial Chemical Facility in Winnebago County, Illinois.

After a chemical fire, an investigation assessed health effects by using syndromic surveillance to monitor emergency department (ED) visits, a general health survey to assess the general public, and a first responders health survey to assess first responders. A total of four separate multivariable logistic regression models were developed to examine associations between reported exposure to smoke, dust, debris, or odor with any reported symptom in the general public. Syndromic surveillance identified areas with increased ED visits. Among general health survey respondents, 45.1% (911 out of 2,020) reported at least one symptom. Respondents reporting exposure to smoke, dust, debris, or odor had 4.5 (95% confidence interval (CI) [3.7, 5.5]), 4.6 (95% CI [3.6, 5.8]), 2.0 (95% CI [1.7, 2.5]), or 5.8 (95% CI [4.7, 7.3]) times the odds of reporting any symptom compared with respondents not reporting exposure to smoke, dust, debris, or odor, respectively. First responders commonly reported contact with material and being within 1 mi of the fire ≥5 hr; 10 out of 31 of first responders reported at least one symptom. There was high symptom burden reported after the fire. Results from our investigation might assist the directing of public health resources to effectively address immediate community needs and prepare for future incidents.

Assessment of Anti-SARS-CoV-2 antibody levels among university students vaccinated with different COVID-19 primary and booster doses - fall 2021, Wisconsin.

BACKGROUND: University students commonly received COVID-19 vaccinations before returning to U.S. campuses in the Fall of 2021. Given likely immunologic variation among students based on differences in type of primary series and/or booster dose vaccine received, we conducted serologic investigations in September and December 2021 on a large university campus in Wisconsin to assess anti-SARS-CoV-2 antibody levels. METHODS: We collected blood samples, demographic information, and COVID-19 illness and vaccination history from a convenience sample of students. Sera were analyzed for both anti-spike (anti-S) and anti-nucleocapsid (anti-N) antibody levels using World Health Organization standardized binding antibody units per milliliter (BAU/mL). Levels were compared across categorical primary COVID-19 vaccine series received and binary COVID-19 mRNA booster status. The association between anti-S levels and time since most recent vaccination dose was estimated by mixed-effects linear regression. RESULTS: In total, 356 students participated, of whom 219 (61.5%) had received a primary vaccine series of Pfizer-BioNTech or Moderna mRNA vaccines and 85 (23.9%) had received vaccines from Sinovac or Sinopharm. Median anti-S levels were significantly higher for mRNA primary vaccine series recipients (2.90 and 2.86 log [BAU/mL], respectively), compared with those who received Sinopharm or Sinovac vaccines (1.63 and 1.95 log [BAU/mL], respectively). Sinopharm and Sinovac vaccine recipients were associated with a significantly faster anti-S decline over time, compared with mRNA vaccine recipients (P <.001). By December, 48/172 (27.9%) participants reported receiving an mRNA COVID-19 vaccine booster, which reduced the anti-S antibody discrepancies between primary series vaccine types. CONCLUSIONS: Our work supports the benefit of heterologous boosting against COVID-19. COVID-19 mRNA vaccine booster doses were associated with increases in anti-SARS-CoV-2 antibody levels; following an mRNA booster dose, students with both mRNA and non-mRNA primary series receipt were associated with comparable levels of anti-S IgG.