Lessons From the Mpox Response.

This Viewpoint discusses 3 key lessons from the mpox response that can help better manage infectious disease outbreaks in the future.

Early Detection and Surveillance of the SARS-CoV-2 Variant BA.2.86 - Worldwide, July-October 2023.

Early detection of emerging SARS-CoV-2 variants is critical to guiding rapid risk assessments, providing clear and timely communication messages, and coordinating public health action. CDC identifies and monitors novel SARS-CoV-2 variants through diverse surveillance approaches, including genomic, wastewater, traveler-based, and digital public health surveillance (e.g., global data repositories, news, and social media). The SARS-CoV-2 variant BA.2.86 was first sequenced in Israel and reported on August 13, 2023. The first U.S. COVID-19 case caused by this variant was reported on August 17, 2023, after a patient received testing for SARS-CoV-2 at a health care facility on August 3. In the following month, eight additional U.S. states detected BA.2.86 across various surveillance systems, including specimens from health care settings, wastewater surveillance, and traveler-based genomic surveillance. As of October 23, 2023, sequences have been reported from at least 32 countries. Continued variant tracking and further evidence are needed to evaluate the full public health impact of BA.2.86. Timely genomic sequence submissions to global public databases aided early detection of BA.2.86 despite the decline in the number of specimens being sequenced during the past year. This report describes how multicomponent surveillance and genomic sequencing were used in real time to track the emergence and transmission of the BA.2.86 variant. This surveillance approach provides valuable information regarding implementing and sustaining comprehensive surveillance not only for novel SARS-CoV-2 variants but also for future pathogen threats.

Pre-exposure prophylaxis in the era of emerging methods for men who have sex with men in the USA: the HIV Prevention Cycle of Care model.

Expanding on previous work, we present an HIV Prevention Cycle of Care model to facilitate understanding of the complexity of issues involved in pre-exposure prophylaxis implementation for gay, bisexual, and other men who have sex with men (MSM) in the USA, including individual, client-provider, and overarching issues such as health equity, stigma, and prevention nomenclature. The HIV prevention cycle of care applies to MSM who test negative for HIV. The Prevention Cycle of Care model includes seven steps: prevention knowledge, prevention self-awareness and preferences, prevention motivation, health-care access and cost, provider issues, adherence and persistence, and periodic reassessment and adjustment. HIV prevention is complex in an era of emerging multiple modalities, and more research is needed to successfully implement pre-exposure prophylaxis options over time and across diverse communities of MSM who are sexually active.

A Health Equity Approach for Implementation of JYNNEOS Vaccination at Large, Community-Based LGBTQIA+ Events - Georgia, August 27-September 5, 2022.

Gay, bisexual, and other men who have sex with men (MSM) have been disproportionately affected during the 2022 U.S. monkeypox outbreak, with Black or African American (Black) MSM being the most affected demographic group (1). As of September 28, 2022, Georgia had reported 1,784 monkeypox cases; 98% of which occurred in males and 77% among Black persons (2). As of September 13, 2022, 60% of reported cases were among persons with HIV infection, and 50% of persons with monkeypox had a sexually transmitted infection within the past year (3). Because of racial disparities in the incidence of monkeypox cases and a large proportion of cases among MSM in Georgia, early vaccination beginning in July focused on improving equitable access by establishing new and leveraging existing partnerships with community-based organizations that serve affected populations, including persons with HIV infection. Despite these efforts, disparities persisted because of high demand and limited vaccine supply. The Georgia Department of Public Health (DPH) requested CDC support for a vaccine pilot and received an additional allocation of 5,500 doses of JYNNEOS vaccine for administration at events leading up to and throughout a Black gay Pride festival in Atlanta, a multiday event held Labor Day weekend (September 2-5, 2022). The event celebrates lesbian, gay, bisexual, transgender, queer or questioning, intersex, asexual, and other (LGBTQIA+) communities of color and hosts more than 125,000 attendees each year. Before the festival (as of August 24), 17,546 persons had been vaccinated in Georgia, of whom 96% were male, 34% aged 25-36 years, 44% Black, and 8% Hispanic or Latino (Hispanic) (4).

HIV and Sexually Transmitted Infections Among Persons with Monkeypox - Eight U.S. Jurisdictions, May 17-July 22, 2022.

High prevalences of HIV and other sexually transmitted infections (STIs) have been reported in the current global monkeypox outbreak, which has affected primarily gay, bisexual, and other men who have sex with men (MSM) (1-5). In previous monkeypox outbreaks in Nigeria, concurrent HIV infection was associated with poor monkeypox clinical outcomes (6,7). Monkeypox, HIV, and STI surveillance data from eight U.S. jurisdictions* were matched and analyzed to examine HIV and STI diagnoses among persons with monkeypox and assess differences in monkeypox clinical features according to HIV infection status. Among 1,969 persons with monkeypox during May 17-July 22, 2022, HIV prevalence was 38%, and 41% had received a diagnosis of one or more other reportable STIs in the preceding year. Among persons with monkeypox and diagnosed HIV infection, 94% had received HIV care in the preceding year, and 82% had an HIV viral load of <200 copies/mL, indicating HIV viral suppression. Compared with persons without HIV infection, a higher proportion of persons with HIV infection were hospitalized (8% versus 3%). Persons with HIV infection or STIs are disproportionately represented among persons with monkeypox. It is important that public health officials leverage systems for delivering HIV and STI care and prevention to reduce monkeypox incidence in this population. Consideration should be given to prioritizing persons with HIV infection and STIs for vaccination against monkeypox. HIV and STI screening and other recommended preventive care should be routinely offered to persons evaluated for monkeypox, with linkage to HIV care or HIV preexposure prophylaxis (PrEP) as appropriate.

Monkeypox Outbreak - Nine States, May 2022.

On May 17, 2022, the Massachusetts Department of Public Health (MDPH) Laboratory Response Network (LRN) laboratory confirmed the presence of orthopoxvirus DNA via real-time polymerase chain reaction (PCR) from lesion swabs obtained from a Massachusetts resident. Orthopoxviruses include Monkeypox virus, the causative agent of monkeypox. Subsequent real-time PCR testing at CDC on May 18 confirmed that the patient was infected with the West African clade of Monkeypox virus. Since then, confirmed cases* have been reported by nine states. In addition, 28 countries and territories,† none of which has endemic monkeypox, have reported laboratory-confirmed cases. On May 17, CDC, in coordination with state and local jurisdictions, initiated an emergency response to identify, monitor, and investigate additional monkeypox cases in the United States. This response has included releasing a Health Alert Network (HAN) Health Advisory, developing interim public health and clinical recommendations, releasing guidance for LRN testing, hosting clinician and public health partner outreach calls, disseminating health communication messages to the public, developing protocols for use and release of medical countermeasures, and facilitating delivery of vaccine postexposure prophylaxis (PEP) and antivirals that have been stockpiled by the U.S. government for preparedness and response purposes. On May 19, a call center was established to provide guidance to states for the evaluation of possible cases of monkeypox, including recommendations for clinical diagnosis and orthopoxvirus testing. The call center also gathers information about possible cases to identify interjurisdictional linkages. As of May 31, this investigation has identified 17§ cases in the United States; most cases (16) were diagnosed in persons who identify as gay, bisexual, or men who have sex with men (MSM). Ongoing investigation suggests person-to-person community transmission, and CDC urges health departments, clinicians, and the public to remain vigilant, institute appropriate infection prevention and control measures, and notify public health authorities of suspected cases to reduce disease spread. Public health authorities are identifying cases and conducting investigations to determine possible sources and prevent further spread. This activity was reviewed by CDC and conducted consistent with applicable federal law and CDC policy.¶.

HIV Testing Before and During the COVID-19 Pandemic - United States, 2019-2020.

HIV testing is a core strategy for the Ending the HIV Epidemic in the U.S. (EHE) initiative, which has the aim of reducing new HIV infections by at least 90% by 2030.* During 2016-2017, jurisdictions with the highest HIV diagnosis rates were those with higher prevalences of HIV testing; past-year HIV testing was higher among persons who reported recent HIV risk behaviors compared with those who did not report these risks (1). During 2020-2021, the COVID-19 pandemic disrupted health care delivery, including HIV testing in part because many persons avoided services to comply with COVID-19 risk mitigation efforts (2). In addition, public health departments redirected some sexual health services to COVID-19-related activities.† CDC analyzed data from four national data collection systems to assess the numbers of HIV tests performed and HIV infections diagnosed in the United States in the years before (2019) and during (2020) the COVID-19 pandemic. In 2020, HIV diagnoses reported to CDC decreased by 17% compared with those reported in 2019. This decrease was preceded by decreases in HIV testing during the same period, particularly among priority populations including Black or African American (Black) gay men, Hispanic or Latino (Hispanic) gay men, bisexual men, other men who have sex with men (MSM), and transgender persons in CDC-funded jurisdictions. To compensate for testing and diagnoses missed during the COVID-19 pandemic and to accelerate the EHE initiative, CDC encourages partnerships among federal organizations, state and local health departments, community-based organizations, and health care systems to increase access to HIV testing services, including strategies such as self-testing and routine opt-out screening in health care settings.

COVID-19 Vaccination Coverage and Vaccine Confidence by Sexual Orientation and Gender Identity - United States, August 29-October 30, 2021.

Lesbian, gay, bisexual, and transgender (LGBT) populations have higher prevalences of health conditions associated with severe COVID-19 illness compared with non-LGBT populations (1). The potential for low vaccine confidence and coverage among LGBT populations is of concern because these persons historically experience challenges accessing, trusting, and receiving health care services (2). Data on COVID-19 vaccination among LGBT persons are limited, in part because of the lack of routine data collection on sexual orientation and gender identity at the national and state levels. During August 29-October 30, 2021, data from the National Immunization Survey Adult COVID Module (NIS-ACM) were analyzed to assess COVID-19 vaccination coverage and confidence in COVID-19 vaccines among LGBT adults aged ≥18 years. By sexual orientation, gay or lesbian adults reported higher vaccination coverage overall (85.4%) than did heterosexual adults (76.3%). By race/ethnicity, adult gay or lesbian non-Hispanic White men (94.1%) and women (88.5%), and Hispanic men (82.5%) reported higher vaccination coverage than that reported by non-Hispanic White heterosexual men (74.2%) and women (78. 6%). Among non-Hispanic Black adults, vaccination coverage was lower among gay or lesbian women (57.9%) and bisexual women (62.1%) than among heterosexual women (75.6%). Vaccination coverage was lowest among non-Hispanic Black LGBT persons across all categories of sexual orientation and gender identity. Among gay or lesbian adults and bisexual adults, vaccination coverage was lower among women (80.5% and 74.2%, respectively) than among men (88.9% and 81.7%, respectively). By gender identity, similar percentages of adults who identified as transgender or nonbinary and those who did not identify as transgender or nonbinary were vaccinated. Gay or lesbian adults and bisexual adults were more confident than were heterosexual adults in COVID-19 vaccine safety and protection; transgender or nonbinary adults were more confident in COVID-19 vaccine protection, but not safety, than were adults who did not identify as transgender or nonbinary. To prevent serious illness and death, it is important that all persons in the United States, including those in the LGBT community, stay up to date with recommended COVID-19 vaccinations.

PrEP Use and Correlates of Use Among a Large, Urban Sample of Men and Transgender Persons Who Have Sex with Men.

We examined recent pre-exposure prophylaxis (PrEP) use (past 6 months) and its correlates among a large sample of men who have sex with men and transgender and gender non-conforming persons participating in a home HIV self-testing program conducted by the New York City Health Department between 11/2016 and 1/2017. Correlates examined included demographic characteristics and HIV-related behaviors in the past 6 months. Associations with recent PrEP use were assessed using log-binomial regression. 400 (22.5%) of 1776 participants reported recent PrEP use. In adjusted models, recent PrEP use was associated with Manhattan residence [adjusted prevalence ratio (aPR) 1.26; 95% confidence interval (CI) (1.04, 1.53)], higher income [aPR 1.29; 95% CI (1.03, 1.62)], and having insurance [aPR 1.89; 95% CI (1.33, 2.69)]. All HIV-related behaviors, except for injection drug use, were individually associated with PrEP use. More research is needed to better understand barriers to PrEP use among patients who are low income and/or uninsured as this may help improve current public health efforts to increase PrEP uptake among disproportionately impacted populations.

Association between HIV clinic caseloads and viral load suppression in New York City.

The relationship between HIV patient caseload and a clinic's ability to achieve viral load suppression (VLS) in their HIV patient population is not understood. The New York City Department of Health and Mental Hygiene (NYCDOHMH) administered a survey to clinics providing HIV care to people living with HIV (PLWH) in NYC in 2016. Clinics were stratified by quartiles of HIV patient caseload and dichotomized by whether ≥85% (n = 36) or <85% (n = 74) of their patients achieved VLS. Multivariable logistic regression adjusted for confounders of age, sex, ethnicity, and race. Provider to patient ratios (PPR) were calculated for each clinic as staffing full time equivalents per 100 HIV patients.

Walking distance for vulnerable populations to public health emergency response points of dispensing in New York City.

During certain public health emergencies, points of dispensing (PODs) may be used to rapidly distribute medical countermeasures such as antibiotics to the general public to prevent disease. Jurisdictions across the country have identified sites for PODs in preparation for such an emergency; in New York City (NYC), the sites are identified based largely on population density. Vulnerable populations, defined for this analysis as persons with income below the federal poverty level, persons with less than a high school diploma, foreign-born persons, persons of color, persons aged ≥65 years, physically disabled persons, and unemployed persons, often experience a wide range of health inequities. In NYC, these populations are often concentrated in certain geographic areas and rely heavily on public transportation. Because public transportation will almost certainly be affected during large-scale public health emergencies that would require the rapid mass dispensing of medical countermeasures, we evaluated walking distances to PODs. We used an ordinary least squares (OLS) model and a geographically weighted regression (GWR) model to determine if certain characteristics that increase health inequities in the population are associated with longer distances to the nearest POD relative to the general NYC population. Our OLS model identified shorter walking distances to PODs in neighborhoods with a higher percentage of persons with income below the federal poverty level, higher percentage of foreign-born persons, or higher percentage of persons of color, and identified longer walking distances to PODs in neighborhoods with a higher percentage of persons with less than a high school diploma. Our GWR model confirmed the findings from the OLS model and further illustrated these patterns by certain neighborhoods. Our analysis shows that currently identified locations for PODs in NYC are generally serving vulnerable populations equitably-particularly those defined by race or income status-at least in terms of walking distance.

Vital Signs: HIV Infection, Diagnosis, Treatment, and Prevention Among Gay, Bisexual, and Other Men Who Have Sex with Men - United States, 2010-2019.

BACKGROUND: Men who have sex with men (MSM) accounted for two thirds of new HIV infections in the United States in 2019 despite representing approximately 2% of the adult population. METHODS: CDC analyzed surveillance data to determine trends in estimated new HIV infections and to assess measures of undiagnosed infection and HIV prevention and treatment services including HIV testing, preexposure prophylaxis (PrEP) use, antiretroviral therapy (ART) adherence, and viral suppression, as well as HIV-related stigma. RESULTS: The estimated number of new HIV infections among MSM was 25,100 in 2010 and 23,100 in 2019. New infections decreased significantly among White MSM but did not decrease among Black or African American (Black) MSM and Hispanic/Latino MSM. New infections increased among MSM aged 25-34 years. During 2019, approximately 83% of Black MSM and 80% of Hispanic/Latino MSM compared with 90% of White MSM with HIV had received an HIV diagnosis. The lowest percentage of diagnosed infection was among MSM aged 13-24 years (55%). Among MSM with a likely PrEP indication, discussions about PrEP with a provider and PrEP use were lower among Black MSM (47% and 27%, respectively) and Hispanic/Latino MSM (45% and 31%) than among White MSM (59% and 42%). Among MSM with an HIV diagnosis, adherence to ART and viral suppression were lower among Black MSM (48% and 62%, respectively) and Hispanic/Latino MSM (59% and 67%) compared with White MSM (64% and 74%). Experiences of HIV-related stigma among those with an HIV diagnosis were higher among Black MSM (median = 33; scale = 0-100) and Hispanic/Latino MSM (32) compared with White MSM (26). MSM aged 18-24 years had the lowest adherence to ART (45%) and the highest median stigma score (39). CONCLUSION: Improving access to and use of HIV services for MSM, especially Black MSM, Hispanic/Latino MSM, and younger MSM, and addressing social determinants of health, such as HIV-related stigma, that contribute to unequal outcomes will be essential to end the HIV epidemic in the United States.

Hospital-level factors associated with death during pneumonia-associated hospitalization among adults-New York City, 2010-2014.

BACKGROUND: In New York City (NYC), pneumonia is a leading cause of death and most pneumonia deaths occur in hospitals. Whether the pneumonia death rate in NYC reflects reporting artifact or is associated with factors during pneumonia-associated hospitalization (PAH) is unknown. We aimed to identify hospital-level factors associated with higher than expected in-hospital pneumonia death rates among adults in NYC. METHODS: Data from January 1, 2010-December 31, 2014 were obtained from the New York Statewide Planning and Research Cooperative System and the American Hospital Association Database. In-hospital pneumonia standardized mortality ratio (SMR) was calculated for each hospital as observed PAH death rate divided by expected PAH death rate. To determine hospital-level factors associated with higher in-hospital pneumonia SMR, we fit a hospital-level multivariable negative binomial regression model. RESULTS: Of 148,172 PAH among adult NYC residents in 39 hospitals during 2010-2014, 20,820 (14.06%) resulted in in-hospital death. In-hospital pneumonia SMRs varied across NYC hospitals (0.77-1.23) after controlling for patient-level factors. An increase in average daily occupancy and membership in the Council of Teaching Hospitals were associated with increased in-hospital pneumonia SMR. CONCLUSIONS: Differences in in-hospital pneumonia SMRs between hospitals might reflect differences in disease severity, quality of care, or coding practices. More research is needed to understand the association between average daily occupancy and in-hospital pneumonia SMR. Additional pneumonia-specific training at teaching hospitals can be considered to address higher in-hospital pneumonia SMR in teaching hospitals.

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. 15) include two ethnicity categories and a minimum of five race categories (1). Using available COVID-19 case and vaccination data, CDC compared the current method for grouping persons by race and ethnicity, which prioritizes ethnicity (in alignment with the policy directive), with two alternative methods (methods A and B) that used race information when ethnicity information was missing. Method A assumed non-Hispanic ethnicity when ethnicity data were unknown or missing and used the same population groupings (denominators) for rate calculations as the current method (Hispanic persons for the Hispanic group and race category and non-Hispanic persons for the different racial groups). Method B grouped persons into ethnicity and race categories that are not mutually exclusive, unlike the current method and method A. Denominators for rate calculations using method B were Hispanic persons for the Hispanic group and persons of Hispanic or non-Hispanic ethnicity for the different racial groups. Compared with the current method, the alternative methods resulted in higher counts of COVID-19 cases and fully vaccinated persons across race categories (American Indian or Alaska Native [AI/AN], Asian, Black or African American [Black], Native Hawaiian or Other Pacific Islander [NH/PI], and White persons). When method B was used, the largest relative increase in cases (58.5%) was among AI/AN persons and the largest relative increase in the number of those fully vaccinated persons was among NH/PI persons (51.6%). Compared with the current method, method A resulted in higher cumulative incidence and vaccination coverage rates for the five racial groups. Method B resulted in decreasing cumulative incidence rates for two groups (AI/AN and NH/PI persons) and decreasing cumulative vaccination coverage rates for AI/AN persons. The rate ratio for having a case of COVID-19 by racial and ethnic group compared with that for White persons varied by method but was <1 for Asian persons and >1 for other groups across all three methods. The likelihood of being fully vaccinated was highest among NH/PI persons across all three methods. This analysis demonstrates that alternative methods for analyzing race and ethnicity data when data are incomplete can lead to different conclusions about disparities. These methods have limitations, however, and warrant further examination of potential bias and consultation with experts to identify additional methods for analyzing and tracking disparities when race and ethnicity data are incomplete.