1
|
Rosenthal EM, Tesoriero JM. Development of a Mission-Driven Research Agenda to Support Efforts to End Epidemics. J Public Health Manag Pract 2023; 29:838-844. [PMID: 37499111 PMCID: PMC10549879 DOI: 10.1097/phh.0000000000001787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
CONTEXT New York State continues efforts to end the AIDS and hepatitis C epidemics and reduce new infections of sexually transmitted infections. PROGRAM In 2022, the New York State Department of Health AIDS Institute released its first-ever Research Agenda. This Research Agenda was systematically developed following input from internal and external research and community stakeholders. We used a participatory and iterative process to prioritize research knowledge gaps related to HIV/AIDS; sexual health and sexually transmitted infections; hepatitis C; lesbian, gay, bisexual, transgender health; drug user health; health equity; and emerging issues such as COVID-19. Questions were prioritized on the basis of the alignment with the following 5 criteria: magnitude of impact; funding and resources; feasibility of conducting research; translatability; and addresses an internal priority area. Findings are anticipated to generate actionable results that can be readily translatable into programs, policies, and practices. IMPLEMENTATION This Research Agenda includes 79 research and program evaluation questions prioritized for internally led and collaborative research. Efforts on 35 of the 61 internally led questions and funding of 11 collaborative research projects related to Research Agenda priorities began in 2022. EVALUATION An evaluation survey was conducted among all stakeholders involved in the prioritization process. All were satisfied or very satisfied with the process, and results yielded recommendations for future processes including weighting of questions relative to one another within each focus area and other suggestions to streamline the process. In year 1, 10 of the 35 questions were completed. DISCUSSION Lessons learned include use of a participatory process to facilitate support and completion of Research Agenda, prioritize research questions to maximize impact and translatability, streamline the prioritization process by restricting proposed questions to those with clear potential for innovative research, emphasize anticipated resources necessary to implement the Research Agenda to set a realistic and actionable plan, and adaptability toward shifting priorities.
Collapse
Affiliation(s)
- Elizabeth M. Rosenthal
- AIDS Institute, New York State Department of Health, Albany, New York (Ms Rosenthal and Dr Tesoriero); and University at Albany School of Public Health, State University at New York, Albany, New York (Ms Rosenthal and Dr Tesoriero)
| | - James M. Tesoriero
- AIDS Institute, New York State Department of Health, Albany, New York (Ms Rosenthal and Dr Tesoriero); and University at Albany School of Public Health, State University at New York, Albany, New York (Ms Rosenthal and Dr Tesoriero)
| |
Collapse
|
2
|
Maro A, Rosenthal EM, Abdallah M, Tesoriero J, Dehovitz J. Are persons living with diagnosed HIV capable of mounting a strong inflammatory response to the new coronavirus? Int J STD AIDS 2023; 34:978-983. [PMID: 37498157 PMCID: PMC10375225 DOI: 10.1177/09564624231191814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/17/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND The impact of COVID-19 on persons living with diagnosed HIV (PLWDH) remains incompletely understood. It's unclear whether an impaired immune system offers protection against mounting cytokine storm. METHODS Retrospective matched cohort study of COVID-19 hospitalized individuals in New York State (NYS). Medical records were abstracted and analyzed for 853 PLWDH hospitalized with COVID-19 in NYS and 1621 HIV-negative controls. Preexisting comorbidities and inflammatory markers measured within 24 h of hospital admission were abstracted. RESULTS PLWDH were significantly less likely to have elevated inflammatory markers compared to matched controls. Elevated WBC occurred in 23.3% of PLWDH vs 30.1% of controls (p = .0002), elevated CRP in 37.4% of PLWDH vs 43.2% of controls (p = .03), elevated ferritin in 73.4% of PLWDH vs 78.9% of controls (p = .004). There was an inverse but not statistically significant relationship between the frequency of elevated inflammatory markers and HIV disease stage, with greatest percent of PLWDH with elevated WBC, LDH, CRP, and ferritin among PLWDH with HIV disease stage 1. CONCLUSION PLWDH had lower inflammatory marker elevation during COVID-19 infection compared to matched controls. PLWDH with low CD4 were less likely to mount a cytokine storm in the setting of impaired immune function.
Collapse
Affiliation(s)
- Anna Maro
- Division of Infectious Diseases, NYC Health and Hospitals Kings County, Brooklyn, NY, USA
| | - Elizabeth M. Rosenthal
- Center for Program Development, Implementation, Research and Evaluation, AIDS Institute, New York State Department of Health, Albany, NY, USA
| | - Marie Abdallah
- Division of Infectious Diseases, NYC Health and Hospitals Kings County, Brooklyn, NY, USA
| | - James Tesoriero
- Center for Program Development, Implementation, Research and Evaluation, AIDS Institute, New York State Department of Health, Albany, NY, USA
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, NY, USA
| | - Jack Dehovitz
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, NY, USA
- Downstate Health Sciences University, State University of New York, Brooklyn, NY, USA
| |
Collapse
|
3
|
Rosenthal EM, Patterson W, Chicoine J, Dorabawila V, Adamashvili N, Rajulu DT, Rosenberg ES, Tesoriero JM. COVID-19 Vaccination and Hospitalization Among Persons Living With Diagnosed HIV in New York State. J Acquir Immune Defic Syndr 2023; 93:92-100. [PMID: 36853763 PMCID: PMC10179975 DOI: 10.1097/qai.0000000000003177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/26/2023] [Accepted: 02/09/2023] [Indexed: 03/01/2023]
Abstract
BACKGROUND Persons living with diagnosed HIV (PLWDH) have higher COVID-19 diagnoses rates and poorer COVID-19-related outcomes than persons living without diagnosed HIV. The intersection of COVID-19 vaccination status and likelihood of severe COVID-19 outcomes has not been fully investigated for PLWDH. SETTING New York State (NYS). METHODS We matched HIV surveillance, immunization, and hospitalization databases to compare COVID-19 vaccination and COVID-19-related hospitalizations among PLWDH during B.1.617.2 (Delta) and B.1.1.529 (Omicron) predominance. RESULTS Through March 4, 2022, 69,137 of the 101,205 (68%) PLWDH were fully vaccinated or boosted for COVID-19. PLWDH who were virally suppressed or in care were more often to be fully vaccinated or boosted compared with PLWDH who were not virally suppressed (77% vs. 44%) or without evidence of care (74% vs. 33%). Overall hospitalization rates were lower among virally suppressed PLWDH. During Delta predominance, PLWDH with any vaccination history who were in care had lower hospitalization rates compared with those not in care; during Omicron predominance, this was the case only for boosted PLWDH. CONCLUSIONS Approximately 28% (28,255) of PLWDH in NYS remained unvaccinated for COVID-19, a rate roughly double of that observed in the overall adult NYS population. PLWDH of color were more often than non-Hispanic White persons to be unvaccinated, as were the virally unsuppressed and those without evidence of HIV-related care, threatening to expand existing disparities in COVID-19-related outcomes. Vaccination was protective against COVID-19-related hospitalizations for PLWDH; however, differences in hospitalization rates between fully vaccinated and unvaccinated PLWDH were smaller than those among all New Yorkers.
Collapse
Affiliation(s)
- Elizabeth M. Rosenthal
- Center for Program Development, Implementation, Research and Evaluation, AIDS Institute, New York State Department of Health, Albany, NY
- University at Albany School of Public Health, State University at New York, Rensselaer, NY
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, NY
| | - Wendy Patterson
- Division of Epidemiology, Evaluation and Partner Services, AIDS Institute, New York State Department of Health, Albany, NY
| | - Joyce Chicoine
- Division of Epidemiology, Evaluation and Partner Services, AIDS Institute, New York State Department of Health, Albany, NY
| | - Vajeera Dorabawila
- Division of Epidemiology, Center for Community Health, New York State Department of Health, Albany, NY
| | - Natalia Adamashvili
- Center for Program Development, Implementation, Research and Evaluation, AIDS Institute, New York State Department of Health, Albany, NY
- Department of Public Health, Faculty of Medicine, Tbilisi State University; and
| | - Deepa T. Rajulu
- Division of Epidemiology, Evaluation and Partner Services, AIDS Institute, New York State Department of Health, Albany, NY
| | - Eli S. Rosenberg
- University at Albany School of Public Health, State University at New York, Rensselaer, NY
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, NY
- Office of Public Health, New York State Department of Health, Albany, NY
| | - James M. Tesoriero
- Center for Program Development, Implementation, Research and Evaluation, AIDS Institute, New York State Department of Health, Albany, NY
- University at Albany School of Public Health, State University at New York, Rensselaer, NY
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, NY
| |
Collapse
|
4
|
Rosenthal EM, Tesoriero JM, Flavin SM, Yuan Y, Sullivan TT, Johnson MC. Geospatial Prioritization to Reach Hispanic or Latino and Other Priority Populations Through HIV Home Testing Services. J Public Health Manag Pract 2023; 29:336-344. [PMID: 36693389 DOI: 10.1097/phh.0000000000001700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
CONTEXT Hispanic or Latino men who have sex with men (HLMSM) are disproportionately affected by the HIV/AIDS epidemic in New York State (NYS) and nationally. In 2019, HLMSM comprised 13% of all new diagnoses and 21% of new diagnoses among men who have sex with men (MSM) in NYS excluding New York City. HIV home testing programs are effective methods for increasing HIV testing. OBJECTIVE This pilot sought to determine whether the NYS HIV Home Test Giveaway (HHTG) can effectively reach priority populations, specifically HLMSM/transgender/gender nonconforming persons who have sex with men, to increase uptake of HIV home testing services and identify new HIV infections. DESIGN/SETTING We recruited participants using media campaigns linked to a brief self-administered eligibility survey. Eligible participants provided their e-mail address to receive a code for a free HIV home test and were sent a self-administered follow-up survey 4 to 11 weeks after eligibility survey completion. PARTICIPANTS The 2018 and 2019 NYS HHTG reached 1214 and 1340 participants, respectively. A total of 606 participants in 2018 and 736 participants in 2019 were eligible to receive the HHTG home test kit. MAIN OUTCOME MEASURES HHTG utilization and test results. RESULTS Hispanic or Latino persons participated at higher rates (34.8% and 25.4% in 2018 and 2019, respectively) than the percentage of Hispanic men in prioritized zip codes (15.7% and 15.6% in 2018 and 2019, respectively). The majority of participants who received HHTG test kits used them to test themselves (87.5% in 2018 and 90.6% in 2019). Across both rounds, 4 participants reported new HIV-positive results, for a seropositivity rate of approximately 1%. CONCLUSION Geospatial prioritization was successful in reaching Hispanic or Latino priority populations for HIV testing. HIV self-testing programs such as the HHTG are beneficial methods to reach priority populations for state and national Ending the HIV Epidemic initiatives.
Collapse
|
5
|
Katz DA, Hamilton DT, Rosenthal EM, Wang LY, Dunville RL, Aslam M, Barrios LC, Zlotorzynska M, Sanchez TH, Sullivan PS, Rosenberg ES, Goodreau SM. Effects of Condom Use on Human Immunodeficiency Virus Transmission Among Adolescent Sexual Minority Males in the United States: A Mixed Epidemiology and Epidemic Modeling Study. Sex Transm Dis 2021; 48:973-980. [PMID: 34091584 PMCID: PMC8594521 DOI: 10.1097/olq.0000000000001485] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/17/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND We examined condom use patterns and potential population-level effects of a hypothetical condom intervention on human immunodeficiency virus (HIV) transmission among adolescent sexual minority males (ASMM). METHODS Using 3 data sets: national Youth Risk Behavior Survey 2015 to 2017 (YRBS-National), local YRBS data from 8 jurisdictions with sex of partner questions from 2011 to 2017 (YRBS-Trends), and American Men's Internet Survey (AMIS) 2014 to 2017, we assessed associations of condom use with year, age, and race/ethnicity among sexually active ASMM. Using a stochastic agent-based network epidemic model, structured and parameterized based on the above analyses, we calculated the percent of HIV infections averted over 10 years among ASMM ages 13 to 18 years by an intervention that increased condom use by 37% for 5 years and was delivered to 62% of ASMM at age 14 years. RESULTS In YRBS, 51.8% (95% confidence interval [CI], 41.3-62.3%) and 37.9% (95% CI, 32.7-42.3%) reported condom use at last sexual intercourse in national and trend data sets, respectively. In AMIS, 47.3% (95% CI, 44.6-49.9%) reported condom use at last anal sex with a male partner. Temporal trends were not observed in any data set (P > 0.1). Condom use varied significantly by age in YRBS-National (P < 0.0001) and YRBS-Trends (P = 0.032) with 13- to 15-year-olds reporting the lowest use in both; age differences were not significant in AMIS (P = 0.919). Our hypothetical intervention averted a mean of 9.0% (95% simulation interval, -5.4% to 21.2%) of infections among ASMM. CONCLUSIONS Condom use among ASMM is low and appears to have remained stable during 2011 to 2017. Modeling suggests that condom use increases, consistent with previous interventions, have potential to avert 1 in 11 new HIV infections among ASMM.
Collapse
Affiliation(s)
| | - Deven T. Hamilton
- Center for Studies in Demography and Ecology, University of Washington, Seattle, WA
| | - Elizabeth M. Rosenthal
- Department of Epidemiology and Biostatistics, University of Albany School of Public Health, State University of New York, Rensselaer, NY
| | | | | | - Maria Aslam
- Office of the Director, Centers for Disease Control and Prevention, Atlanta, GA
| | | | | | | | - Patrick S. Sullivan
- Department of Epidemiology
- Department of Global Health, Emory University, Atlanta, GA
| | - Eli S. Rosenberg
- Department of Epidemiology and Biostatistics, University of Albany School of Public Health, State University of New York, Rensselaer, NY
| | - Steven M. Goodreau
- Center for Studies in Demography and Ecology, University of Washington, Seattle, WA
- Department of Anthropology, University of Washington, Seattle, WA
| |
Collapse
|
6
|
Goodreau SM, Pollock ED, Wang LY, Aslam MV, Barrios LC, Dunville RL, Rosenthal EM, Hamilton DT, Katz DA, Rosenberg ES. Impacts of Changing Sexual Behavior on Chlamydia and Gonorrhea Burden Among US High School Students, 2007 to 2017. Sex Transm Dis 2021; 48:635-642. [PMID: 33512900 PMCID: PMC8310891 DOI: 10.1097/olq.0000000000001390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Rates of adolescent sexual activity have long been declining in the United States. We sought to estimate the number of cases of gonorrhea and chlamydia averted over 1 decade associated with these declines and associated costs saved. METHODS We analyzed data from the Centers for Disease Control and Prevention's Youth Risk Behavior Survey of US high school students from 2007 to 2017 and combined it with epidemiological estimates drawn from the literature to parameterize a dynamic population transmission model. We compared transmissions from observed behavioral trends with a counterfactual scenario that assumed sexual behaviors from 2007 remained constant for 10 years. We calculated outcomes by age and for 3 racial/ethnic groups (Hispanic, non-Hispanic Black, and non-Hispanic White adolescents) who vary on underlying burden and amount of behavioral change. RESULTS We estimated 1,118,483 cases of chlamydia and 214,762 cases of gonorrhea were averted (19.5% of burden across all ages). This yielded $474 million (2017 dollars) savings in medical costs over the decade. The largest number of averted cases (767,543) was among Black adolescents, but the largest proportion (28.7%) was among Hispanic adolescents. CONCLUSIONS Whatever its origins, changing sexual behavior among adolescents results in large estimated reductions in STI burden and medical costs relative to previous cohorts. Although diagnoses among adolescents have not declined at this rate, multiple explanations could make these apparently divergent trends consistent. Efforts to continue supporting effective sex education in and out of school along with STI screening for adolescents should reinforce these gains.
Collapse
Affiliation(s)
- Steven M. Goodreau
- Department of Anthropology, University of Washington, Seattle WA
- Center for Studies in Demography and Ecology, University of Washington, Seattle WA
| | - Emily D. Pollock
- Department of Anthropology, University of Washington, Seattle WA
- Center for Studies in Demography and Ecology, University of Washington, Seattle WA
| | - Li Yan Wang
- Division of Adolescent and School Health, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - Maria V. Aslam
- Office of the Director, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - Lisa C. Barrios
- Division of Adolescent and School Health, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - Richard L. Dunville
- Division of Adolescent and School Health, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - Elizabeth M. Rosenthal
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, NY
| | - Deven T. Hamilton
- Center for Studies in Demography and Ecology, University of Washington, Seattle WA
| | - David A. Katz
- Department of Global Health, University of Washington, Seattle, WA
| | - Eli S. Rosenberg
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, NY
| |
Collapse
|
7
|
Rosenberg ES, Hall EW, Rosenthal EM, Maxted AM, Gowie DL, Dufort EM, Blog DS, Hoefer D, St George K, Hutton BJ, Zucker HA. Reply to Flannery et al. Clin Infect Dis 2021; 72:e429. [PMID: 32687180 DOI: 10.1093/cid/ciaa1024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Eli S Rosenberg
- University at Albany School of Public Health, State University of New York, Rensselaer, New York, USA
| | - Eric W Hall
- Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Elizabeth M Rosenthal
- University at Albany School of Public Health, State University of New York, Rensselaer, New York, USA
| | | | - Donna L Gowie
- New York State Department of Health, Albany, New York, USA
| | | | - Debra S Blog
- New York State Department of Health, Albany, New York, USA
| | - Dina Hoefer
- New York State Department of Health, Albany, New York, USA
| | | | - Brad J Hutton
- New York State Department of Health, Albany, New York, USA
| | | |
Collapse
|
8
|
Bradley H, Rosenthal EM, Barranco MA, Udo T, Sullivan PS, Rosenberg ES. Use of Population-Based Surveys for Estimating the Population Size of Persons Who Inject Drugs in the United States. J Infect Dis 2021; 222:S218-S229. [PMID: 32877538 DOI: 10.1093/infdis/jiaa318] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND In the United States, injection is an increasingly common route of administration for opioids and other substances. Estimates of the number of persons who inject drugs (PWID) are needed for monitoring risk-specific infectious disease rates and health services coverage. METHODS We reviewed design and instruments for 4 national household surveys, 2012-2016, for their ability to produce unbiased injection drug use (IDU) prevalence estimates. We explored potential analytic adjustments for reducing biases through use of external data on (1) arrest, (2) narcotic overdose mortality, and (3) biomarker-based sensitivity of self-reported illicit drug use. RESULTS Estimated national past 12 months IDU prevalence ranged from 0.24% to 0.59% across surveys. All surveys excluded unstably housed and incarcerated persons, and estimates were based on <60 respondents reporting IDU behavior in 3 surveys. No surveys asked participants about nonmedical injection of prescription drugs. Analytic adjustments did not appreciably change IDU prevalence estimates due to suboptimal specificity of data points. CONCLUSIONS PWID population size estimates in the United States are based on small numbers and are likely biased by undercoverage of key populations and self-report. Novel methods as discussed in this article may improve our understanding of PWID population size and their health needs.
Collapse
Affiliation(s)
- Heather Bradley
- Georgia State University School of Public Health, Atlanta, Georgia, USA
| | - Elizabeth M Rosenthal
- University at Albany School of Public Health, State University of New York, Albany, New York, USA
| | - Meredith A Barranco
- University at Albany School of Public Health, State University of New York, Albany, New York, USA
| | - Tomoko Udo
- University at Albany School of Public Health, State University of New York, Albany, New York, USA
| | | | - Eli S Rosenberg
- University at Albany School of Public Health, State University of New York, Albany, New York, USA
| |
Collapse
|
9
|
Rosenberg ES, Hall EW, Rosenthal EM, Maxted AM, Gowie DL, Dufort EM, Blog DS, Hoefer D, George KS, Hutton BJ, Zucker HA. Monitoring Coronavirus Disease 2019 (COVID-19) Through Trends in Influenza-like Illness, Laboratory-confirmed Influenza, and COVID-19-New York State, Excluding New York City, 1 January 2020-12 April 2020. Clin Infect Dis 2021; 72:144-147. [PMID: 32474578 PMCID: PMC7543876 DOI: 10.1093/cid/ciaa684] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 05/28/2020] [Indexed: 12/03/2022] Open
Abstract
Innovative monitoring approaches are needed to track the coronavirus disease 2019 (COVID-19) epidemic and potentially assess the impact of community mitigation interventions. We present temporal data on influenza-like illness, influenza diagnosis, and COVID-19 cases for all 4 regions of New York State through the first 6 weeks of the outbreak.
Collapse
Affiliation(s)
- Eli S Rosenberg
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, New York, USA
| | - Eric W Hall
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Elizabeth M Rosenthal
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, New York, USA
| | | | - Donna L Gowie
- New York State Department of Health, Albany, New York, USA
| | | | - Debra S Blog
- New York State Department of Health, Albany, New York, USA
| | - Dina Hoefer
- New York State Department of Health, Albany, New York, USA
| | | | - Brad J Hutton
- New York State Department of Health, Albany, New York, USA
| | | | | |
Collapse
|
10
|
Rosenthal EM, Hall EW, Rosenberg ES, Harris A, Nelson NP, Schillie S. Assessing the cost-utility of preferentially administering Heplisav-B vaccine to certain populations. Vaccine 2020; 38:8206-8215. [PMID: 33160756 DOI: 10.1016/j.vaccine.2020.10.067] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 10/19/2020] [Accepted: 10/20/2020] [Indexed: 01/02/2023]
Abstract
Vaccination is the primary strategy to prevent hepatitis B virus (HBV) infection in the United States. Prior to 2017, most standard hepatitis B vaccine schedules required 3 doses over 6 months. Heplisav-B, approved in 2017, is administered in 2 doses over a 1 month time period but has a higher per-dose cost ($115.75 per dose compared to $57.25 per Engerix-B dose, costs as of June 1, 2019). We aimed to assess the cost-utility of providing the two-dose Heplisav-B vaccine compared to a three-dose Engerix-B vaccine among adult populations currently recommended for vaccination against hepatitis B. We used a decision-tree model with microsimulation and a Markov disease progression process to assess the cost-utility separately for the following populations: adults with diabetes, obesity, chronic kidney disease, HIV; non-responders to previous hepatitis B vaccination; older adults; and persons who inject drugs (PWID). We modeled epidemiologic outcomes (incident HBV infections, sequelae and related deaths), costs (2019 USD) and benefits (quality-adjusted life years, QALYs) and compared them across strategies. Sensitivity analyses assessed the cost-utility at varying estimates of Heplisav-B efficacy. In the base case scenario for each population, vaccination with Heplisav-B resulted in fewer HBV infections (37.5-59.8% averted), sequelae, and HBV-related deaths (36.3-71.4% averted). Heplisav-B resulted in decreased costs and increased benefits compared to Engerix-B for all populations except non-responders. Incremental costs from the baseline strategy ranged from $4746.78 saved (PWID) to $14.15 added cost (non-responders). Incremental benefits per person ranged from 0.00005 QALYs (older adults) to 0.7 QALYs (PWID). For persons with HIV and PWID, Heplisav-B resulted in lower costs and increased benefits in all scenarios in which Heplisav-B series efficacy was at least 80%. Vaccination using Heplisav-B is a cost-saving strategy compared to Engerix-B for adults with diabetes, chronic kidney disease, obesity, and HIV; older adults; and PWID.
Collapse
Affiliation(s)
- Elizabeth M Rosenthal
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, NY, United States.
| | - Eric W Hall
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Eli S Rosenberg
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, NY, United States
| | - Aaron Harris
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Noele P Nelson
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Sarah Schillie
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA, United States
| |
Collapse
|
11
|
Rosenberg ES, Tesoriero JM, Rosenthal EM, Chung R, Barranco MA, Styer LM, Parker MM, John Leung SY, Morne JE, Greene D, Holtgrave DR, Hoefer D, Kumar J, Udo T, Hutton B, Zucker HA. Cumulative incidence and diagnosis of SARS-CoV-2 infection in New York. Ann Epidemiol 2020; 48:23-29.e4. [PMID: 32648546 DOI: 10.1101/2020.05.25.20113050] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 06/10/2020] [Accepted: 06/10/2020] [Indexed: 05/20/2023]
Abstract
PURPOSE 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%-14.7%), corresponding to 2,139,300 (95% CI: 2,035,800-2,242,800) infection-experienced adults. Cumulative incidence was highest in New York City 22.7% (95% CI: 21.5%-24.0%) 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%-9.3%) of infections in NYS were diagnosed, with diagnosis highest among adults aged 55 years or older (11.3%, 95% CI: 10.4%-12.2%). 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.
Collapse
Affiliation(s)
- Eli S Rosenberg
- University at Albany School of Public Health, State University of New York, Rensselaer.
| | | | - Elizabeth M Rosenthal
- University at Albany School of Public Health, State University of New York, Rensselaer
| | | | - Meredith A Barranco
- University at Albany School of Public Health, State University of New York, Rensselaer
| | - Linda M Styer
- Wadsworth Center, New York State Department of Health, Albany, NY
| | - Monica M Parker
- Wadsworth Center, New York State Department of Health, Albany, NY
| | | | | | | | - David R Holtgrave
- University at Albany School of Public Health, State University of New York, Rensselaer
| | - Dina Hoefer
- New York State Department of Health, Albany, NY
| | | | - Tomoko Udo
- University at Albany School of Public Health, State University of New York, Rensselaer
| | - Brad Hutton
- New York State Department of Health, Albany, NY
| | | |
Collapse
|
12
|
Rosenberg ES, Tesoriero JM, Rosenthal EM, Chung R, Barranco MA, Styer LM, Parker MM, John Leung SY, Morne JE, Greene D, Holtgrave DR, Hoefer D, Kumar J, Udo T, Hutton B, Zucker HA. Cumulative incidence and diagnosis of SARS-CoV-2 infection in New York. Ann Epidemiol 2020; 48:23-29.e4. [PMID: 32648546 PMCID: PMC7297691 DOI: 10.1016/j.annepidem.2020.06.004] [Citation(s) in RCA: 202] [Impact Index Per Article: 50.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 06/10/2020] [Accepted: 06/10/2020] [Indexed: 12/24/2022]
Abstract
PURPOSE 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%-14.7%), corresponding to 2,139,300 (95% CI: 2,035,800-2,242,800) infection-experienced adults. Cumulative incidence was highest in New York City 22.7% (95% CI: 21.5%-24.0%) 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%-9.3%) of infections in NYS were diagnosed, with diagnosis highest among adults aged 55 years or older (11.3%, 95% CI: 10.4%-12.2%). 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.
Collapse
Affiliation(s)
- Eli S Rosenberg
- University at Albany School of Public Health, State University of New York, Rensselaer.
| | | | - Elizabeth M Rosenthal
- University at Albany School of Public Health, State University of New York, Rensselaer
| | | | - Meredith A Barranco
- University at Albany School of Public Health, State University of New York, Rensselaer
| | - Linda M Styer
- Wadsworth Center, New York State Department of Health, Albany, NY
| | - Monica M Parker
- Wadsworth Center, New York State Department of Health, Albany, NY
| | | | | | | | - David R Holtgrave
- University at Albany School of Public Health, State University of New York, Rensselaer
| | - Dina Hoefer
- New York State Department of Health, Albany, NY
| | | | - Tomoko Udo
- University at Albany School of Public Health, State University of New York, Rensselaer
| | - Brad Hutton
- New York State Department of Health, Albany, NY
| | | |
Collapse
|
13
|
Dufort EM, Koumans EH, Chow EJ, Rosenthal EM, Muse A, Rowlands J, Barranco MA, Maxted AM, Rosenberg ES, Easton D, Udo T, Kumar J, Pulver W, Smith L, Hutton B, Blog D, Zucker H. Multisystem Inflammatory Syndrome in Children in New York State. N Engl J Med 2020; 383:347-358. [PMID: 32598830 PMCID: PMC7346766 DOI: 10.1056/nejmoa2021756] [Citation(s) in RCA: 921] [Impact Index Per Article: 230.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND A multisystem inflammatory syndrome in children (MIS-C) is associated with coronavirus disease 2019. The New York State Department of Health (NYSDOH) established active, statewide surveillance to describe hospitalized patients with the syndrome. METHODS Hospitals in New York State reported cases of Kawasaki's disease, toxic shock syndrome, myocarditis, and potential MIS-C in hospitalized patients younger than 21 years of age and sent medical records to the NYSDOH. We carried out descriptive analyses that summarized the clinical presentation, complications, and outcomes of patients who met the NYSDOH case definition for MIS-C between March 1 and May 10, 2020. RESULTS As of May 10, 2020, a total of 191 potential cases were reported to the NYSDOH. Of 95 patients with confirmed MIS-C (laboratory-confirmed acute or recent severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2] infection) and 4 with suspected MIS-C (met clinical and epidemiologic criteria), 53 (54%) were male; 31 of 78 (40%) were black, and 31 of 85 (36%) were Hispanic. A total of 31 patients (31%) were 0 to 5 years of age, 42 (42%) were 6 to 12 years of age, and 26 (26%) were 13 to 20 years of age. All presented with subjective fever or chills; 97% had tachycardia, 80% had gastrointestinal symptoms, 60% had rash, 56% had conjunctival injection, and 27% had mucosal changes. Elevated levels of C-reactive protein, d-dimer, and troponin were found in 100%, 91%, and 71% of the patients, respectively; 62% received vasopressor support, 53% had evidence of myocarditis, 80% were admitted to an intensive care unit, and 2 died. The median length of hospital stay was 6 days. CONCLUSIONS The emergence of multisystem inflammatory syndrome in children in New York State coincided with widespread SARS-CoV-2 transmission; this hyperinflammatory syndrome with dermatologic, mucocutaneous, and gastrointestinal manifestations was associated with cardiac dysfunction.
Collapse
Affiliation(s)
- Elizabeth M Dufort
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Emilia H Koumans
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Eric J Chow
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Elizabeth M Rosenthal
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Alison Muse
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Jemma Rowlands
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Meredith A Barranco
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Angela M Maxted
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Eli S Rosenberg
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Delia Easton
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Tomoko Udo
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Jessica Kumar
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Wendy Pulver
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Lou Smith
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Brad Hutton
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Debra Blog
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| | - Howard Zucker
- From the New York State Department of Health, Albany (E.M.D., A.M., J.R., A.M.M., D.E., J.K., W.P., L.S., B.H., D.B., H.Z.); the Centers for Disease Control and Prevention (CDC) COVID-19 Response (E.H.K., E.J.C.) and the Epidemic Intelligence Service, Center for Surveillance, Epidemiology, and Laboratory Services (E.J.C.), CDC, Atlanta; and the University at Albany School of Public Health, State University of New York, Rensselaer (E.M.R., M.A.B., E.S.R., T.U.)
| |
Collapse
|
14
|
Goodreau SM, Pollock ED, Wang LY, Barrios LC, Dunville RL, Aslam MV, Katz DA, Hart-Malloy R, Rosenthal EM, Trigg M, Fields M, Hamilton DT, Rosenberg ES. Predicting the impact of sexual behavior change on adolescent STI in the US and New York State: a case study of the teen-SPARC tool. Ann Epidemiol 2020; 47:13-18. [PMID: 32713502 DOI: 10.1016/j.annepidem.2020.05.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 04/30/2020] [Accepted: 05/19/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE Adolescents aged 13-18 years bear a large burden of sexually transmitted infections (STIs) and changing adolescent sexual risk behavior is a key component of reducing this burden. We demonstrate a novel publicly available modeling tool (teen-SPARC) to help state and local health departments predict the impact of behavioral change on gonorrhea, chlamydia, and HIV burden among adolescents. METHODS Teen-SPARC is built in Excel for familiarity and ease and parameterized using data from CDC's Youth Risk Behavior Surveillance System. We present teen-SPARC's methods, including derivation of national parameters and instructions to obtain local parameters. We model multiple scenarios of increasing condom use and estimate the impact on gonorrhea, chlamydia, and HIV incidence, comparing national and New York State (NYS) results. RESULTS A 1% annual increase in condom use (consistent with Healthy People 2020 goals) could prevent nearly 10,000 cases of STIs nationwide. Increases in condom use of 17.1%, 2.2%, and 25.5% in NYS would be necessary to avert 1000 cases of gonorrhea, 1000 cases of chlamydia, and 10 cases of HIV infection, respectively. Additional results disaggregate outcomes by age, sex, partner sex, jurisdiction, and pathogen. CONCLUSION Teen-SPARC may be able to assist health departments aiming to tailor behavioral interventions for STI prevention among adolescents.
Collapse
Affiliation(s)
- Steven M Goodreau
- Department of Anthropology, University of Washington, Seattle; Center for Studies in Demography and Ecology, University of Washington, Seattle.
| | - Emily D Pollock
- Department of Anthropology, University of Washington, Seattle; Center for Studies in Demography and Ecology, University of Washington, Seattle
| | - Li Yan Wang
- Division of Adolescent and School Health, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - Lisa C Barrios
- Division of Adolescent and School Health, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - Richard L Dunville
- Division of Adolescent and School Health, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - Maria V Aslam
- Office of the Director, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - David A Katz
- Department of Global Health, University of Washington, Seattle
| | - Rachel Hart-Malloy
- AIDS Institute, New York State Department of Health, Albany, NY; Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer
| | - Elizabeth M Rosenthal
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer
| | - Monica Trigg
- Department of Epidemiology, Emory University, Atlanta, GA
| | - Megan Fields
- Department of Epidemiology, Emory University, Atlanta, GA
| | - Deven T Hamilton
- Center for Studies in Demography and Ecology, University of Washington, Seattle
| | - Eli S Rosenberg
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer
| |
Collapse
|
15
|
Bradley H, Hall EW, Rosenthal EM, Sullivan PS, Ryerson AB, Rosenberg ES. Hepatitis C Virus Prevalence in 50 U.S. States and D.C. by Sex, Birth Cohort, and Race: 2013-2016. Hepatol Commun 2020; 4:355-370. [PMID: 32140654 PMCID: PMC7049678 DOI: 10.1002/hep4.1457] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 11/20/2019] [Indexed: 12/23/2022] Open
Abstract
Hepatitis C virus (HCV) infection is a leading cause of liver-related morbidity and mortality, and more than 2 million adults in the United States are estimated to be currently infected. Reducing HCV burden will require an understanding of demographic disparities and targeted efforts to reduce prevalence in populations with disproportionate disease rates. We modeled state-level estimates of hepatitis C prevalence among U.S. adults by sex, birth cohort, and race during 2013-2016. National Health and Nutrition Examination Survey data were used in combination with state-level HCV-related and narcotic overdose-related mortality data from the National Vital Statistics System and estimates from external literature review on populations not sampled in the National Health and Nutrition Examination Survey. Nationally, estimated hepatitis C prevalence was 1.3% among males and 0.6% among females (prevalence ratio [PR] = 2.3). Among persons born during 1945 to 1969, prevalence was 1.6% compared with 0.5% among persons born after 1969 (PR = 3.2). Among persons born during 1945 to 1969, prevalence ranged from 0.7% in North Dakota to 3.6% in Oklahoma and 6.8% in the District of Columbia. Among persons born after 1969, prevalence was more than twice as high in Kentucky, New Mexico, Oklahoma, and West Virginia compared with the national average. Hepatitis C prevalence was 1.8% among non-Hispanic black persons and 0.8% among persons of other races (PR = 2.2), and the magnitude of this disparity varied widely across jurisdictions (PR range: 1.3-7.8). Overall, 23% of prevalent HCV infections occurred among non-Hispanic black persons, whereas 12% of the population was represented by this racial group. These estimates provide information on prevalent HCV infections that jurisdictions can use for understanding and monitoring local disease patterns and racial disparities in burden of disease.
Collapse
Affiliation(s)
- Heather Bradley
- Department of Population Health SciencesGeorgia State University School of Public HealthAtlantaGA
| | - Eric W. Hall
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGA
| | - Elizabeth M. Rosenthal
- Department of Epidemiology and BiostatisticsUniversity at Albany School of Public HealthState University of New YorkRensselaerNY
| | - Patrick S. Sullivan
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGA
| | - A. Blythe Ryerson
- Division of Viral HepatitisNational Center for HIV/AIDS, Viral Hepatitis, STD, and TB PreventionCenters for Disease Control and PreventionAtlantaGA
| | - Eli S. Rosenberg
- Department of Epidemiology and BiostatisticsUniversity at Albany School of Public HealthState University of New YorkRensselaerNY
| |
Collapse
|
16
|
Siegler AJ, Rosenthal EM, Sullivan PS, Christina Mehta C, Moore RH, Ahlschlager L, Kelley CF, Rosenberg ES, Cecil MP. Levels of clinical condom failure for anal sex: A randomized cross-over trial. EClinicalMedicine 2019; 17:100199. [PMID: 31891134 PMCID: PMC6933145 DOI: 10.1016/j.eclinm.2019.10.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 09/23/2019] [Accepted: 10/16/2019] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Men who have sex with men (MSM) face a 28-fold higher risk of HIV acquisition than men who have sex with women (MSW). Condoms are the most accessible prevention method, with billions produced annually. Due to potentially high clinical failure, international regulatory agencies do not approve condoms for anal sex. This trial sought to provide data regarding approval of condoms for anal sex. METHODS We conducted a blinded, crossover randomized trial among MSM and MSW in Atlanta, Georgia, USA. Crossover conditions were standard condoms, thin condoms, and condoms fitted to each user's penile dimensions. The primary outcome was total clinical failure (slippage and/or breakage), assessed using an intention-to-treat analysis. A mixed methods model assessed differences in odds of failure. The study is registered with ClinicalTrials.gov, NCT02753842, and is completed. FINDINGS We enrolled 252 MSM and 252 MSW between May 19, 2016 and May 2, 2017. Participants reported a total of 4884 anal or vaginal sex acts using study-provided condoms. For all crossover conditions, clinical failure was lower for anal sex (0•7%, 16/2351) than for vaginal sex (1•9%, 48/2533), (odds ratio 0•40, 95% confidence interval 0•21, 0•75, p < •001)00. There was no difference in odds of failure for anal sex acts between the different types of condoms. Due to study design, nearly all anal sex acts used condom-compatible lubricant (98•3%), yet only a minority of vaginal sex acts (41•6%) used lubricant. Sex acts for which lubricant was used had lower failure for both anal and vaginal sex, with no difference in odds of failure between them. INTERPRETATION In the largest trial of effectiveness of condoms for anal sex to date, we found remarkably low levels of failure. Condoms should be approved by regulatory agencies for anal sex. Clinicians may recommend condoms as a highly efficacious HIV and STD prevention tool for anal sex. Differences between failure for anal and vaginal sex were likely due to differential use of lubricant. Condom promotion programs should consider providing additional lubricant for all condoms distributed.
Collapse
Affiliation(s)
- Aaron J. Siegler
- Department of Behavioral Sciences and Health Education, Rollins School of Public Health at Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, United States of America
- Corresponding author.
| | - Elizabeth M. Rosenthal
- Department of Epidemiology, Rollins School of Public Health at Emory University, United States of America
| | - Patrick S. Sullivan
- Department of Epidemiology, Rollins School of Public Health at Emory University, United States of America
| | - C. Christina Mehta
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health at Emory University, United States of America
| | - Reneé H. Moore
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health at Emory University, United States of America
| | - Lauren Ahlschlager
- Department of Epidemiology, Rollins School of Public Health at Emory University, United States of America
| | | | - Eli S. Rosenberg
- Department of Epidemiology, Rollins School of Public Health at Emory University, United States of America
| | | |
Collapse
|
17
|
Siegler AJ, Ahlschlager L, Rosenthal EM, Sullivan PS, Kelley CF, Rosenberg ES, Sanchez TH, Moore RH, Mehta CC, Cecil MP. Utility of a US Food and Drug Administration (FDA) label indication for condoms for anal sex. Sex Health 2019; 17:91-95. [PMID: 31610140 DOI: 10.1071/sh18152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 06/27/2019] [Indexed: 11/23/2022]
Abstract
Condoms are highly effective for HIV prevention, yet are not currently indicated by the US Food and Drug Administration (FDA) for anal sex. We surveyed a national sample of men who have sex with men to assess whether FDA label indication could affect anticipated condom use, and to determine levels of perceived condom failure for anal sex. We found that 69% of respondents anticipated that a label indication change would increase their likelihood of condom use. Median perceived failure was 15%. We anticipate that these results may aid the FDA in developing standards for a label indication for anal sex.
Collapse
Affiliation(s)
- Aaron J Siegler
- Department of Behavioral Science and Health Education, Rollins School of Public Health at Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA; and Corresponding author.
| | - Lauren Ahlschlager
- Department of Behavioral Science and Health Education, Rollins School of Public Health at Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
| | - Elizabeth M Rosenthal
- Department of Epidemiology, Rollins School of Public Health at Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA; and Department of Epidemiology and Biostatistics, University at Albany School of Public Health, SUNY One University Place, Rensselaer, NY 12144, USA
| | - Patrick S Sullivan
- Department of Epidemiology, Rollins School of Public Health at Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
| | - Colleen F Kelley
- Emory University School of Medicine, 1648 Pierce Drive NE, Atlanta, GA 30307, USA
| | - Eli S Rosenberg
- Department of Epidemiology, Rollins School of Public Health at Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA; and Department of Epidemiology and Biostatistics, University at Albany School of Public Health, SUNY One University Place, Rensselaer, NY 12144, USA
| | - Travis H Sanchez
- Department of Epidemiology, Rollins School of Public Health at Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
| | - Reneé H Moore
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health at Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
| | - C Christina Mehta
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health at Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
| | | |
Collapse
|
18
|
Hofmeister MG, Edlin BR, Rosenberg ES, Rosenthal EM, Barker LK, Barranco MA, Hall EW, Mermin J, Ryerson AB. Reply. Hepatology 2019; 70:759-760. [PMID: 30945751 PMCID: PMC10993926 DOI: 10.1002/hep.30635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Affiliation(s)
- Megan G Hofmeister
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA
| | - Brian R Edlin
- National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - Eli S Rosenberg
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, NY
| | - Elizabeth M Rosenthal
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, NY
| | - Laurie K Barker
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA
| | - Meredith A Barranco
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, NY
| | - Eric W Hall
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Jonathan Mermin
- National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - A Blythe Ryerson
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA
| |
Collapse
|
19
|
Siegler AJ, Rosenthal EM, Sullivan PS, Ahlschlager L, Kelley CF, Mehta CC, Moore RH, Rosenberg ES, Cecil MP. Double-Blind, Single-Center, Randomized Three-Way Crossover Trial of Fitted, Thin, and Standard Condoms for Vaginal and Anal Sex: C-PLEASURE Study Protocol and Baseline Data. JMIR Res Protoc 2019; 8:e12205. [PMID: 31012862 PMCID: PMC6658242 DOI: 10.2196/12205] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 01/04/2019] [Accepted: 02/14/2019] [Indexed: 11/21/2022] Open
Abstract
Background Male condoms are underused despite their ability to prevent transmission of HIV and other sexually transmitted infections. The perception of decreased sexual pleasure and poor condom fit are major contributors to condom nonuse. Objective The purpose of this study was to compare event-level performance and pleasure using fitted, thin, and standard condoms among men who have sex with men (MSM) and men who have sex with women (MSW). We also sought to assess condom type preference. We present the study design and enrollment data from the trial. Methods This study recruited sexually active men aged 18 to 54 years in Atlanta, Georgia, United States. We enrolled 252 MSM and 252 MSW in a double-blind, 3-way randomized crossover trial with conditions of fitted, thin, and standard condoms. A permuted block randomization scheme was used to assign each participant to the sequence in which they received each type of study condom. After a baseline screening and enrollment visit, randomized participants were followed for at least 6 and up to 12 weeks depending on their use of study condoms in each 2-week period between scheduled, in-person study visits. Participants were instructed to complete mobile-optimized coital logs as soon as possible after using condoms for anal or vaginal sex acts. The logs collected event-level pleasure and performance measures for the study condoms as well as other relevant data. A questionnaire was administered at the final study visit to assess overall study condom preference. Results The study enrolled 252 MSM and 252 MSW, a total of 504 participants. MSM and MSW study arms were similar for a number of key traits including race and ethnicity, marital status, self-rated condom experience, and recent experience of condom failure. Men in the MSM arm were older, however, and fewer MSM were students. The majority of participants in both arms rated themselves as very experienced with using condoms, and the majority had used condoms recently. Over one-third of participants in each arm reported experiencing condom failure in the last 6 months. Conclusions This is the first condom trial to compare the performance of standard, thin, and fitted condoms and to use pleasure and preference as primary outcomes. Given the disparate impact of HIV on MSM, equal enrollment of MSM and MSW was a key feature of this study. Trial results may inform an FDA label indication for anal sex and provide new information regarding the relative performance of different types of condoms. Trial Registration ClinicalTrials.gov NCT02753842; https://clinicaltrials.gov/ct2/show/NCT02753842 (Archived by WebCite at http://www.webcitation.org/76RLTFyf0) International Registered Report Identifier (IRRID) DERR1-10.2196/12205
Collapse
Affiliation(s)
- Aaron J Siegler
- Rollins School of Public Health, Department of Behavioral Sciences and Health Educaiton, Emory University, Atlanta, GA, United States
| | - Elizabeth M Rosenthal
- University at Albany School of Public Health, Department of Epidemiology, State University of New York, Albany, NY, United States
| | - Patrick S Sullivan
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Lauren Ahlschlager
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Colleen F Kelley
- School of Medicine, Emory University, Atlanta, GA, United States
| | - C Christina Mehta
- Rollins School of Public Health, Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States
| | - Reneé H Moore
- Rollins School of Public Health, Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States
| | - Eli S Rosenberg
- University at Albany School of Public Health, Department of Epidemiology, State University of New York, Albany, NY, United States
| | | |
Collapse
|
20
|
Hofmeister MG, Rosenthal EM, Barker LK, Rosenberg ES, Barranco MA, Hall EW, Edlin BR, Mermin J, Ward JW, Ryerson AB. Estimating Prevalence of Hepatitis C Virus Infection in the United States, 2013-2016. Hepatology 2019; 69:1020-1031. [PMID: 30398671 PMCID: PMC6719781 DOI: 10.1002/hep.30297] [Citation(s) in RCA: 331] [Impact Index Per Article: 66.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 09/24/2018] [Indexed: 02/06/2023]
Abstract
Hepatitis C virus (HCV) infection is the most commonly reported bloodborne infection in the United States, causing substantial morbidity and mortality and costing billions of dollars annually. To update the estimated HCV prevalence among all adults aged ≥18 years in the United States, we analyzed 2013-2016 data from the National Health and Nutrition Examination Survey (NHANES) to estimate the prevalence of HCV in the noninstitutionalized civilian population and used a combination of literature reviews and population size estimation approaches to estimate the HCV prevalence and population sizes for four additional populations: incarcerated people, unsheltered homeless people, active-duty military personnel, and nursing home residents. We estimated that during 2013-2016 1.7% (95% confidence interval [CI], 1.4-2.0%) of all adults in the United States, approximately 4.1 (3.4-4.9) million persons, were HCV antibody-positive (indicating past or current infection) and that 1.0% (95% CI, 0.8-1.1%) of all adults, approximately 2.4 (2.0-2.8) million persons, were HCV RNA-positive (indicating current infection). This includes 3.7 million noninstitutionalized civilian adults in the United States with HCV antibodies and 2.1 million with HCV RNA and an estimated 0.38 million HCV antibody-positive persons and 0.25 million HCV RNA-positive persons not part of the 2013-2016 NHANES sampling frame. Conclusion: Over 2 million people in the United States had current HCV infection during 2013-2016; compared to past estimates based on similar methodology, HCV antibody prevalence may have increased, while RNA prevalence may have decreased, likely reflecting the combination of the opioid crisis, curative treatment for HCV infection, and mortality among the HCV-infected population; efforts on multiple fronts are needed to combat the evolving HCV epidemic, including increasing capacity for and access to HCV testing, linkage to care, and cure.
Collapse
Affiliation(s)
- Megan G. Hofmeister
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia,Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Elizabeth M. Rosenthal
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, New York
| | - Laurie K. Barker
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Eli S. Rosenberg
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, New York
| | - Meredith A. Barranco
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer, New York
| | - Eric W. Hall
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Brian R. Edlin
- National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jonathan Mermin
- National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - John W. Ward
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia,Program for Viral Hepatitis Elimination, The Task Force for Global Health, Decatur, Georgia
| | - A. Blythe Ryerson
- Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
21
|
Rosenberg ES, Rosenthal EM, Hall EW, Barker L, Hofmeister MG, Sullivan PS, Dietz P, Mermin J, Ryerson AB. Prevalence of Hepatitis C Virus Infection in US States and the District of Columbia, 2013 to 2016. JAMA Netw Open 2018; 1:e186371. [PMID: 30646319 PMCID: PMC6324373 DOI: 10.1001/jamanetworkopen.2018.6371] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE Infection with hepatitis C virus (HCV) is a major cause of morbidity and mortality in the United States, and incidence has increased rapidly in recent years, likely owing to increased injection drug use. Current estimates of prevalence at the state level are needed to guide prevention and care efforts but are not available through existing disease surveillance systems. OBJECTIVE To estimate the prevalence of current HCV infection among adults in each US state and the District of Columbia during the years 2013 to 2016. DESIGN, SETTING, AND PARTICIPANTS This survey study used a statistical model to allocate nationally representative HCV prevalence from the National Health and Nutrition Examination Survey (NHANES) according to the spatial demographics and distributions of HCV mortality and narcotic overdose mortality in all National Vital Statistics System death records from 1999 to 2016. Additional literature review and analyses estimated state-level HCV infections among populations not included in the National Health and Nutrition Examination Survey sampling frame. EXPOSURES State, accounting for birth cohort, biological sex, race/ethnicity, federal poverty level, and year. MAIN OUTCOMES AND MEASURES State-level prevalence estimates of current HCV RNA. RESULTS In this study, the estimated national prevalence of HCV from 2013 to 2016 was 0.84% (95% CI, 0.75%-0.96%) among adults in the noninstitutionalized US population represented in the NHANES sampling frame, corresponding to 2 035 100 (95% CI, 1 803 600-2 318 000) persons with current infection; accounting for populations not included in NHANES, there were 231 600 additional persons with HCV, adjusting prevalence to 0.93%. Nine states contained 51.9% of all persons living with HCV infection (California [318 900], Texas [202 500], Florida [151 000], New York [116 000], Pennsylvania [93 900], Ohio [89 600], Michigan [69 100], Tennessee [69 100], and North Carolina [66 400]); 5 of these states were in Appalachia. Jurisdiction-level median (range) HCV RNA prevalence was 0.88% (0.45%-2.34%). Of 13 states in the western United States, 10 were above this median. Three of 10 states with the highest HCV prevalence were in Appalachia. CONCLUSIONS AND RELEVANCE Using extensive national survey and vital statistics data from an 18-year period, this study found higher prevalence of HCV in the West and Appalachian states for 2013 to 2016 compared with other areas. These estimates can guide state prevention and treatment efforts.
Collapse
Affiliation(s)
- Eli S. Rosenberg
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer
| | - Elizabeth M. Rosenthal
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, State University of New York, Rensselaer
| | - Eric W. Hall
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia
| | - Laurie Barker
- Division of Viral Hepatitis, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Megan G. Hofmeister
- Division of Viral Hepatitis, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Patrick S. Sullivan
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia
| | - Patricia Dietz
- Office of the Director, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jonathan Mermin
- Office of the Director, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - A. Blythe Ryerson
- Division of Viral Hepatitis, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
22
|
Rosenthal EM. The bravest giant in town. Am J Nurs 1970; 70:2135. [PMID: 5201894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
|
23
|
Rosenthal EM. We have a Health Club. Am J Nurs 1968; 68:1946-7. [PMID: 5186964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
|