Alternative Methods for Grouping Race and Ethnicity to Monitor COVID-19 Outcomes and Vaccination Coverage.

Population-based analyses of COVID-19 data, by race and ethnicity can identify and monitor disparities in COVID-19 outcomes and vaccination coverage. CDC recommends that information about race and ethnicity be collected to identify disparities and ensure equitable access to protective measures such as vaccines; however, this information is often missing in COVID-19 data reported to CDC. Baseline data collection requirements of the Office of Management and Budget's Standards for the Classification of Federal Data on Race and Ethnicity (Statistical Policy Directive No.

Counties with High COVID-19 Incidence and Relatively Large Racial and Ethnic Minority Populations - United States, April 1-December 22, 2020.

Long-standing systemic social, economic, and environmental inequities in the United States have put many communities of color (racial and ethnic minority groups) at increased risk for exposure to and infection with SARS-CoV-2, the virus that causes COVID-19, as well as more severe COVID-19-related outcomes (1-3). Because race and ethnicity are missing for a proportion of reported COVID-19 cases, counties with substantial missing information often are excluded from analyses of disparities (4). Thus, as a complement to these case-based analyses, population-based studies can help direct public health interventions.

Race, Ethnicity, and Age Trends in Persons Who Died from COVID-19 - United States, May-August 2020.

During February 12-October 15, 2020, the coronavirus disease 2019 (COVID-19) pandemic resulted in approximately 7,900,000 aggregated reported cases and approximately 216,000 deaths in the United States.* Among COVID-19-associated deaths reported to national case surveillance during February 12-May 18, persons aged ≥65 years and members of racial and ethnic minority groups were disproportionately represented (1). This report describes demographic and geographic trends in COVID-19-associated deaths reported to the National Vital Statistics System (NVSS) during May 1-August 31, 2020, by 50 states and the District of Columbia.

CDC Deployments to State, Tribal, Local, and Territorial Health Departments for COVID-19 Emergency Public Health Response - United States, January 21-July 25, 2020.

Coronavirus disease 2019 (COVID-19) is a viral respiratory illness caused by SARS-CoV-2. During January 21-July 25, 2020, in response to official requests for assistance with COVID-19 emergency public health response activities, CDC deployed 208 teams to assist 55 state, tribal, local, and territorial health departments. CDC deployment data were analyzed to summarize activities by deployed CDC teams in assisting state, tribal, local, and territorial health departments to identify and implement measures to contain SARS-CoV-2 transmission (1).

Potential indirect effects of the COVID-19 pandemic on use of emergency departments for acute life-threatening conditions - United States, January-May 2020.

This article describes a significant decline in emergency department visits for acute life-threatening conditions during the COVID-19 pandemic, suggesting that patients may be delaying or avoiding care or unable to access care during the pandemic.

Disparities in Incidence of COVID-19 Among Underrepresented Racial/Ethnic Groups in Counties Identified as Hotspots During June 5-18, 2020 - 22 States, February-June 2020.

During January 1, 2020-August 10, 2020, an estimated 5 million cases of coronavirus disease 2019 (COVID-19) were reported in the United States.* Published state and national data indicate that persons of color might be more likely to become infected with SARS-CoV-2, the virus that causes COVID-19, experience more severe COVID-19-associated illness, including that requiring hospitalization, and have higher risk for death from COVID-19 (1-5). CDC examined county-level disparities in COVID-19 cases among underrepresented racial/ethnic groups in counties identified as hotspots, which are defined using algorithmic thresholds related to the number of new cases and the changes in incidence.

Potential Indirect Effects of the COVID-19 Pandemic on Use of Emergency Departments for Acute Life-Threatening Conditions - United States, January-May 2020.

On March 13, 2020, the United States declared a national emergency in response to the coronavirus disease 2019 (COVID-19) pandemic. Subsequently, states enacted stay-at-home orders to slow the spread of SARS-CoV-2, the virus that causes COVID-19, and reduce the burden on the U.S.

Diabetes Among People With Tuberculosis, HIV Infection, Viral Hepatitis B and C, and STDs in New York City, 2006-2010.

Matching infectious disease surveillance data has become a routine activity for many health departments. With the increasing focus on chronic disease, it is also useful to explore opportunities to match infectious and chronic disease surveillance data. To understand the burden of diabetes in New York City (NYC), adults with select infectious diseases (tuberculosis, HIV infection, hepatitis B, hepatitis C, chlamydial infection, gonorrhea, and syphilis) reported between 2006 and 2010 were matched with hemoglobin A1c results reported in the same period.

Strengthening Screening for HIV, Hepatitis C, and STIs: An Innovative Partnership Between the Health Department and Community Health Centers in New York City.

In New York City, federally qualified health centers (FQHCs) are ideal partners for health departments because of their location in neighborhoods with high rates of HIV, hepatitis C virus (HCV) infection, and gonorrhea. Providers have experienced many barriers to following screening and treatment recommendations. In 2013, the New York City Department of Health and Mental Hygiene partnered with six FQHCs, representing 14 clinics, to make screening for HIV and HCV routine and increase adherence to gonorrhea treatment guidelines through education, electronic health record modification, and progress tracking.

Factors Associated With Hepatitis C Infection Among HIV-Infected Men Who Have Sex With Men With No Reported Injection Drug Use in New York City, 2000-2010.

Background: Hepatitis C (HCV) infection is a major source of morbidity and mortality among HIV-infected patients. Despite decreasing HCV incidence in the United States, the proportion of cases among men who have sex with men (MSM) without history of injection drug use (IDU) in New York City has more than tripled between 2000 and 2010.

Methods: Using matched surveillance data, we identified non-IDU HIV-infected MSM with and without diagnosed HCV.

Legal and policy barriers to sharing data between public health programs in New York City: a case study.

Integration of public health surveillance data within health departments is important for public health activities and cost-efficient coordination of care. Access to and use of surveillance data are governed by public health law and by agency confidentiality and security policies. In New York City, we examined public health laws and agency policies for data sharing across HIV, sexually transmitted disease, tuberculosis, and viral hepatitis surveillance programs.

Deaths among people with hepatitis C in New York City, 2000-2011.

Background: Infection with hepatitis C virus (HCV) increases the risk of death from liver and nonliver-related diseases. Coinfection with human immunodeficiency virus (HIV) further increases this risk.

Methods: Surveillance data (2000-2010) and mortality data (2000-2011) maintained by the New York City Department of Health and Mental Hygiene (DOHMH) were deterministically cross-matched.

Matching HIV, tuberculosis, viral hepatitis, and sexually transmitted diseases surveillance data, 2000-2010: identification of infectious disease syndemics in New York City.

Context: In 2012, the New York City Department of Health and Mental Hygiene matched HIV, tuberculosis, viral hepatitis, and sexually transmitted disease surveillance data to identify the burden of infection with multiple diseases.

Methods: HIV, tuberculosis, hepatitis B, hepatitis C, chlamydia, gonorrhea, and syphilis surveillance data from 2000 to 2010 were matched using a deterministic method. Data on deaths from the Department of Health and Mental Hygiene's Office of Vital Statistics were also matched.

Enrolling and retaining uninsured and underinsured populations in public health insurance through a service integration model in New York City.

Innovative strategies to identify uninsured and underinsured populations are critical to successful enrollment and retention in public health insurance. The New York City Department of Health and Mental Hygiene's Office of Health Insurance Services has partnered with the department's Early Intervention Program to implement a Service Integration Model to enroll special needs children, aged 0 to 3 years, into public health insurance. This model uses data from program databases and staff from children's programs to proactively identify uninsured and underinsured children and facilitate their enrollment into public health insurance.

Factors that influence adolescent reports of counseling by physicians on risky behavior.

Purpose: To determine factors that affect whether low-income adolescents report that their doctor talked with them about risky behavior.

Methods: Random digit-dial survey of low-income adolescents in New York City asking about depression, smoking, alcohol use, and sexual activity and the screening and counseling they received on these risk factors and risks during health visits.

Results: Prevalence of counseling by physicians was low, according to adolescent reports, ranging from 17% of adolescents counseled about depression to 52% about sexually transmitted diseases.