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1.
Health Aff (Millwood) ; 42(3): 357-365, 2023 03.
Article in English | MEDLINE | ID: covidwho-2278944

ABSTRACT

In July 2021 New York City (NYC) instituted a requirement for all municipal employees to be vaccinated against COVID-19 or undergo weekly testing. The city eliminated the testing option November 1 of that year. We used general linear regression to compare changes in weekly primary vaccination series completion among NYC municipal employees ages 18-64 living in the city and a comparison group of all other NYC residents in this age group during May-December 2021. The rate of change in vaccination prevalence among NYC municipal employees was greater than that of the comparison group only after the testing option was eliminated (employee slope = 12.0; comparison slope = 5.3). Among racial and ethnic groups, the rate of change in vaccination prevalence among municipal employees was higher than the comparison group for Black and White people. The requirements were associated with narrowing the gap in vaccination prevalence between municipal employees and the comparison group overall and between Black municipal employees and employees from other racial and ethnic groups. Workplace requirements are a promising strategy for increasing vaccination among adults and reducing racial and ethnic disparities in vaccination uptake.


Subject(s)
COVID-19 Vaccines , COVID-19 , Mandatory Programs , Vaccination , Adolescent , Adult , Humans , Middle Aged , Young Adult , COVID-19/prevention & control , COVID-19 Vaccines/administration & dosage , New York City , Vaccination/statistics & numerical data , Black or African American
2.
J Public Health Manag Pract ; 29(4): 547-555, 2023.
Article in English | MEDLINE | ID: covidwho-2256391

ABSTRACT

OBJECTIVE: To adapt an existing surveillance system to monitor the collateral impacts of the COVID-19 pandemic on health outcomes in New York City across 6 domains: access to care, chronic disease, sexual/reproductive health, food/economic insecurity, mental/behavioral health, and environmental health. DESIGN: Epidemiologic assessment. Public health surveillance system. SETTING: New York City. PARTICIPANTS: New York City residents. MAIN OUTCOME MEASURES: We monitored approximately 30 indicators, compiling data from 2006 to 2022. Sources of data include clinic visits, surveillance surveys, vital statistics, emergency department visits, lead and diabetes registries, Medicaid claims, and public benefit enrollment. RESULTS: We observed disruptions across most indicators including more than 50% decrease in emergency department usage early in the pandemic, which rebounded to prepandemic levels by late 2021, changes in reporting levels of probable anxiety and depression, and worsening birth outcomes for mothers who identified as Asian/Pacific Islander or Black. Data are processed in SAS and analyzed using the R Surveillance package to detect possible inflections. Data are updated monthly to an internal Tableau Dashboard and shared with agency leadership. CONCLUSIONS: As the COVID-19 pandemic continues into its third year, public health priorities are returning to addressing non-COVID-19-related diseases and conditions, their collateral impacts, and postpandemic recovery needs. Substantial work is needed to return even to a suboptimal baseline across multiple health topic areas. Our surveillance framework offers a valuable starting place to effectively allocate resources, develop interventions, and issue public communications.


Subject(s)
COVID-19 , Humans , Asian , COVID-19/epidemiology , Medicaid , New York City/epidemiology , Pandemics , United States , Pacific Island People , Black or African American
3.
Disaster Med Public Health Prep ; : 1-10, 2022 May 30.
Article in English | MEDLINE | ID: covidwho-1873371

ABSTRACT

All disasters are local but implementing a hyperlocal response in the midst of a public health emergency is challenging. The availability of neighborhood-level qualitative data that are both timely and relevant to evolving objectives and operations is a limiting factor. In 2020, the New York City Department of Health and Mental Hygiene (NYC DOHMH) responded to the COVID-19 emergency using a novel, hyperlocal approach. Key to the implementation of this approach was the creation of the Community Assessment to Inform Rapid Response (CAIRR), a process for rapid collection and analysis of neighborhood-specific, objective-focused, qualitative data to inform tailored response operations. This paper describes the process of developing the CAIRR and its contribution to the NYC DOHMH's hyperlocal response in order to guide other jurisdictions seeking to employ a hyperlocal approach in future disaster responses.

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