New York State (NYS) is an epicenter of the SARS-CoV-2 pandemic in the United States. Reliable estimates of cumulative incidence in the population are critical to tracking the extent of transmission and informing policies. Methods: We conducted a statewide seroprevalence study in a 15,101 patron convenience sample at 99 grocery stores in 26 counties throughout NYS. SARS-CoV-2 cumulative incidence was estimated from antibody reactivity by first poststratification weighting and then adjusting by antibody test characteristics. The percent diagnosed was estimated by dividing the number of diagnoses by the number of estimated infection-experienced adults. Results: Based on 1887 of 15,101 (12.5%) reactive results, estimated cumulative incidence through March 29 was 14.0% (95% confidence interval [CI]: 13.3%e14.7%), corresponding to 2,139,300 (95% CI: 2,035,800 e2,242,800) infection-experienced adults. Cumulative incidence was highest in New York City 22.7% (95% CI: 21.5%e24.0%) and higher among Hispanic/Latino (29.2%), non-Hispanic black/African American (20.2%), and non-Hispanic Asian (12.4%) than non-Hispanic white adults (8.1%, P < .0001). An estimated 8.9% (95% CI: 8.4%e9.3%) of infections in NYS were diagnosed, with diagnosis highest among adults aged 55 years or older (11.3%, 95% CI: 10.4%e12.2%). Conclusions: From the largest U.S. serosurvey to date, we estimated >2 million adult New York residents were infected through late March, with substantial disparities, although cumulative incidence remained less than herd immunity thresholds. Monitoring, testing, and contact tracing remain essential public health strategies.

Importance: New York State (NYS) is an epicenter of the United States' COVID-19 epidemic. Reliable estimates of cumulative incidence of SARS-CoV-2 infection in the population are critical to tracking the extent of transmission and informing policies, but US data are lacking, in part because societal closure complicates study conduct. Objective: To estimate the cumulative incidence of SARS-CoV-2 infection and percent of infections diagnosed in New York State, overall and by region, age, sex, and race and ethnicity. Design: Statewide cross-sectional seroprevalence study, conducted April 19-28, 2020. Setting: Grocery stores (n=99) located in 26 counties throughout NYS, which were essential businesses that remained open during a period of societal closure and attract a heterogenous clientele. Participants: Convenience sample of patrons >=18 years and residing in New York State, recruited consecutively upon entering stores and via an in-store flyer. Exposures: Region (New York City, Westchester/Rockland, Long Island, Rest of New York State), age, sex, race and ethnicity. Main Outcomes: Primary outcome: cumulative incidence of SARS-CoV-2 infection, based on dry-blood spot (DBS) SARS-CoV-2 antibody reactivity; secondary outcome: percent of infections diagnosed. Results: Among 15,101 adults with suitable DBS specimens, 1,887 (12.5%) were reactive using a validated SARS-CoV-2 IgG microsphere immunoassay (sensitivity 87.9%, specificity 99.75%). Following post-stratification weighting on region, sex, age, and race and ethnicity and adjustment for assay characteristics, estimated cumulative incidence through March 29 was 14.0% (95% CI: 13.3-14.7%), corresponding to 2,139,300 (95% CI: 2,035,800-2,242,800) infection-experienced adults. Cumulative incidence was higher among Hispanic/Latino (29.2%, 95% CI: 27.2-31.2%), non-Hispanic black/African American (20.2% 95% CI, 18.1-22.3%), and non-Hispanic Asian (12.4%, 95% CI: 9.4-15.4%) adults than non-Hispanic white adults (8.1%, 95% CI: 7.4-8.7%, p<.0001). Cumulative incidence was highest in New York City (NYC) 22.7% (95% CI: 21.5%-24.0). Dividing diagnoses reported to NYS by estimated infection-experienced adults, an estimated 8.9% (95% CI: 8.4-9.3%) of infections were diagnosed, with those ≥55 years most likely to be diagnosed (11.3%, 95% CI: 10.4-12.2%). Conclusions and Relevance: Over 2 million adults were infected through late March 2020, with substantial variations by subpopulations. As this remains below herd immunity thresholds, monitoring, testing, and contact tracing remain essential public health strategies.

Context: Gay, bisexual, and men who have sex with men (MSM) are disproportionately affected by the HIV/AIDS epidemic more than any other group. In New York State (NYS) outside of New York City (NYC), MSM accounted for 57% of new HIV/AIDS diagnoses in 2017. HIV/AIDS home testing initiatives have been effective at getting priority populations tested for HIV. Objectives:The NYS Department of Health (NYSDOH) administered the HIV Home Test Giveaway (HHTG) program through social media and mobile applications popular among the priority populations to (1) promote HIV screening among gay and bisexual men, MSM, transgender (TG), and gender queer/gender nonconforming (GNC) individuals who have sex with men, and (2) identify individuals with undiagnosed HIV infection. Design/Setting: The NYSDOH recruited participants from NYS (excluding NYC) through social media campaigns between November 2016 and January 2018. Interested individuals were directed to an online eligibility survey. Eligible participants received a coupon via e-mail for a free HIV self-test (HIVST) kit through the manufacturer's Web site. Eligible participants received a $20 to $25 Amazon online gift card if they completed a voluntary online follow-up survey regarding their test results, experiences with the HHTG, and HIV/AIDS risk behaviors. Participants were also able to request assistance from the NYSDOH with further testing and various prevention and supportive services. Participants: In total, 6190 individuals participated and 3197 (52%) were eligible and received a coupon. Of the eligible, 2022 (63%) redeemed coupons for HIVST. Results: Among eligible participants, 976 (31%) reported having never been tested for HIV. On the follow-up survey, 922 (29%) participants reported having used the HIVST kit for themselves; 203 (22%) were first-time testers; and 7 (0.8%) tested HIV reactive. Of the follow-up survey participants, 761 (59%) requested assistance with various services. Conclusions: Media campaigns were effective in promoting HIV testing among priority populations and reaching individuals who have never been tested for HIV.

Context: Although viral suppression rates have recently increased among people with HIV, specific populations still experience disparities in health outcomes, a priority in the national response to end the HIV epidemic. Purpose: The end+disparities ECHO Collaborative, a quality improvement initiative among HIV providers in the United States from June 2018 to December 2019, created virtual communities of practice to measurably increase viral suppression rates in populations disproportionately affected by HIV: men who have sex with men of color, Black/African American and Latina women, youth aged 13 to 24 years, and transgender people. Methods: Participating Ryan White HIV/AIDS Program-funded providers prioritized their improvement efforts to focus on one target population and joined virtual affinity sessions with other providers focused on that population for guidance by subject matter experts and exchanges with peer providers. During 9 submission cycles, providers reported their viral suppression data for the preceding 12 months. Main Outcome Measures: The principal outcome measures were changes in viral suppression rates among 4 target populations and changes in viral suppression gaps compared with the rest of HIV-infected patients served by the same agency. Results: A total of 90 providers were included in the data analyses with an average of 110 775 reported patients, out of which 19 442 represented the targeted populations. The average viral suppression rates for agency-selected populations increased from 79.2% to 82.3% (a 3.9% increase), while the remaining caseload increased at a lower rate from 84.9% to 86.1% (a 1.4% increase). The viral suppression gap was reduced from 5.7% to 3.8%, a 33.5% reduction. Improvements were found across all target populations. Conclusions: The collaborative demonstrated improved health outcomes and reductions in HIV-related health disparities, moving toward ending the HIV epidemic. The model of utilizing low-cost videoconferencing technologies to create virtual communities of learning is well suited to mitigate other disease-related disparities, nationally and abroad.