Ending the HIV Epidemic: New York's Quest to Become the First State to Reduce HIV Prevalence.

In 2014, New York State became the first jurisdiction to launch a statewide initiative to end AIDS by reducing the number of persons living with HIV for the first time since effective HIV treatment became available. The Ending the Epidemic (ETE) initiative encompasses (1) identifying and linking undiagnosed persons with HIV to care, (2) retaining persons with HIV in care, and (3) facilitating access to preexposure prophylaxis for persons at risk for acquiring HIV. We used a framework for public health program implementation to describe key characteristics of the ETE initiative, present progress toward 13 ETE target metrics, and identify areas in need of increased programming. We provide evidence suggesting that New York State is on track to end AIDS as an epidemic by the end of 2020. As of 2017, 76% of progress toward our primary ETE target had been achieved. Substantial progress on several additional metrics critical to decreasing HIV prevalence and to improving the health of persons living with HIV had also been achieved. Lessons learned included the following: (1) ETE-based programming should be tailored to each jurisdiction's unique political and social climate, HIV epidemiology, fiscal resources, and network of HIV service providers; (2) key stakeholders should be involved in developing ETE metrics and setting targets; (3) performance-based measurement and timely communication to key stakeholders in real time are essential; and (4) examining trends in HIV prevention and care metrics is important for developing realistic ETE timelines.

Power Outage: An Ignored Risk Factor for COPD Exacerbations.

BACKGROUND: COPD is the third leading cause of death in the United States, with 16 million Americans currently experiencing difficulty with breathing. Power outages could be life-threatening for those relying on electricity. However, significant gaps remain in understanding the potential impact of power outages on COPD exacerbations. RESEARCH QUESTION: The goal of this study was to determine how power outages affect COPD exacerbations. STUDY DESIGN AND METHODS: Using distributed lag nonlinear models controlling for time-varying confounders, the hospitalization rate during a power outage was compared vs non-outage periods to determine the rate ratio (RR) for COPD and its subtypes at each of 0 to 6 lag days in New York State from 2001 to 2013. Stratified analyses were conducted according to sociodemographic characteristics, season, and clinical severity; changes were investigated in numerous critical medical indicators, including length of stay, hospital cost, the number of comorbidities, and therapeutic procedures between the two periods. RESULTS: The RR of COPD hospitalization following power outages ranged from 1.03 to 1.39 across lag days. The risk was strongest at lag0 and lag1 days and lasted significantly for 7 days. Associations were stronger for the subgroup with acute bronchitis (RR, 1.08-1.69) than for cases of acute exacerbation (RR, 1.03-1.40). Compared with non-outage periods, the outage period was observed to be $4.67 thousand greater in hospital cost and 1.38 greater in the number of comorbidities per case. The average cost (or number of comorbidities) was elevated in all groups stratified according to cost (or number of comorbidities). In contrast, changes in the average length of stay (-0.43 day) and the average number of therapeutic procedures (-0.09) were subtle. INTERPRETATION: Power outages were associated with a significantly elevated rate of COPD hospitalization, as well as greater costs and number of comorbidities. The average cost and number of comorbidities were elevated in all clinical severity groups.

The surveillance of four mosquito-borne diseases in international travelers arriving at Guangzhou Baiyun International Airport, China, 2016-2017.

BACKGROUND: Little comprehensive analysis combining epidemiological and clinical data has been done with mosquito-borne diseases imported into Guangzhou by air travelers. METHODS: We screened international travelers (body temperature >36.5 °C) arriving at Guangzhou Baiyun International Airport, and recorded their epidemiological and clinical information. Whole-blood samples were collected for laboratory diagnosis of dengue virus (DENV), chikungunya virus (CHIKV), zika virus (ZIKV) infections and malaria. RESULTS: Between March 1, 2016 and December 31, 2017, 155 (6.6%) cases (100 of DENV, 21 of CHIKV, 1 of ZIKV, 34 of malaria, including one co-infection of DENV and CHIKV) were identified among 2350 febrile travelers. DENV (90.0%) and CHIKV (100.0%) cases mainly came from Southern and Southeast Asia. Malaria cases (91.2%) mainly came from sub-Saharan Africa. Traveling abroad (28/74, 37.8%) and living/working abroad (11/22, 50.0%) were the most common causes of DENV infection and malaria for Chinese, respectively. Cases with these four mosquito-borne diseases were more likely to have nervous, musculoskeletal and skin symptoms and signs than other febrile diseases (P < 0.001). CONCLUSIONS: It is important to strengthen the surveillance of mosquito-borne diseases among tourists and workers returning from Southeast Asia, Southern Asia and sub-Saharan Africa, especially those with nervous, musculoskeletal and skin symptoms and signs.

Dengue Underestimation in Guangzhou, China: Evidence of Seroprevalence in Communities With No Reported Cases Before a Large Outbreak in 2014.

OBJECTIVE: Dengue has become a serious public health problem in southern China particularly with a record-breaking outbreak in 2014. Serological evidence from areas with no known dengue cases reported prior to 2014 could provide information on possible unrecognized circulation of dengue virus (DENV) before this outbreak. METHOD: Between March and May 2015, we performed a cross-sectional serosurvey using a stratified random sampling method among individuals aged 1-84 years-old in 7 communities in Guangzhou with no reported dengue cases before 2014. Sera of subjects were initially screened with the indirect DENV IgG enzyme-linked immunosorbent assay, and positive samples were further tested by the indirect immunofluorescence assay to identify specific serotypes. RESULTS: A total of 850 subjects had complete information available. The overall seroprevalence against DENV was 6.59% (56 of 850; 95% CI, 4.92%-8.26%). The seroprevalence increased with age in general (3.86%, 4.58%, 8.72%, 7.22%, and 10.69% among participants in ≤14, 15-29, 30-44, 45-59 and ≥60 years age group, respectively). Living in rural or peri-urban communities and longer years of residence therein were risk factors for higher seroprevalence, whereas wearing long sleeves and pants when outdoors was associated with lower seroprevalence. Of the total subjects, 55.36% (31 of 56) sera were successfully identified with specific serotypes, with 12.90% (4 of 31) being coinfected with 2 serotypes. CONCLUSIONS: Dengue transmission in the study communities had occurred prior to the 2014 massive outbreak, possibly for many years, but went undiagnosed and unreported. A proportion of the study population experienced secondary infection as different serotypes of DENV increased the risk for severe diseases. Active surveillance and education of both healthcare providers and the general population should be conducted in areas at risk for dengue emergence in order to better reduce disease burden.

Clinical indices and mortality of hospitalized avian influenza A (H7N9) patients in Guangdong, China.

BACKGROUND: Six epidemic waves of human infection with avian influenza A (H7N9) virus have emerged in China with high mortality. However, study on quantitative relationship between clinical indices in ill persons and H7N9 outcome (fatal and non-fatal) is still unclear. A retrospective cohort study was conducted to collect laboratory-confirmed cases with H7N9 viral infection from 2013 to 2015 in 23 hospitals across 13 cities in Guangdong Province, China. METHODS: Multivariable logistic regression model and classification tree model analyses were used to detect the threshold of selected clinical indices and risk factors for H7N9 death. The receiver operating characteristic curve (ROC) and analyses were used to compare survival and death distributions and differences between indices. A total of 143 cases with 90 survivors and 53 deaths were investigated. RESULTS: Average age (Odds Ratio (OR) = 1.036, 95% Confidence Interval (CI) = 1.016-1.057), interval days between dates of onset and confirmation (OR = 1.078, 95% CI = 1.004-1.157), interval days between onset and oseltamivir treatment (OR = 5.923, 95% CI = 1.877-18.687), body temperature (BT) (OR = 3.612, 95% CI = 1.914-6.815), white blood cell count (WBC) (OR = 1.212, 95% CI = 1.092-1.346) were significantly associated with H7N9 death after adjusting for confounders. The chance of death from H7N9 infection was 80.0% if BT was over 38.1 °C, and chance of death is 67.4% if WBC count was higher than 9.5 (10/L). Only 27.1% of patients who began oseltamivir treatment less than 9.5 days after disease onset died, compared to 68.8% of those who started treatment more than 15.5 days after onset. CONCLUSIONS: The intervals between date of onset and confirmation of diagnosis, between date of onset to oseltamivir treatment, age, BT and WBC are found to be the best predictors of H7N9 mortality.

Eliminating perinatal HIV in the United States: mission possible?

: In 2015, only 53 infants born in the United States acquired HIV - the lowest recorded number of perinatal HIV infections. Recognizing this significant achievement, we must acknowledge that the United States has not yet reached the goal of eliminating perinatal HIV transmission. This analysis describes different approaches to perinatal HIV preventive services among five states and the District of Columbia as case studies. Continuous focus on improving identification, surveillance and prevention of HIV infection in pregnant women and their infants is necessary to reach the goal of eliminating perinatal HIV transmission in the United States.

Superstorm Sandy's impact on the provision of WIC (Special Supplemental Nutrition Program for Women, Infants, and Children) services in New York State.

OBJECTIVE: Services provided by the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) were interrupted in 2012 when Superstorm Sandy struck New York State (NYS). The present study evaluates the impact on WIC providers. DESIGN: A focus group, telephone interviews and anonymous online survey were conducted. Qualitative data were analysed by coding transcribed text into key words and identifying major and minor themes for strengths, challenges and recommendations using national public health preparedness capabilities. Survey responses were analysed quantitatively; reported challenges were classified by preparedness capability. SETTING: The focus group was held at a 2014 regional WIC meeting. Interviews and a survey were conducted via telephone in 2014 and online in 2015, respectively. SUBJECTS: WIC staff representing New York City and three NYS counties. RESULTS: In the focus group (n 12) and interviews (n 6), 'emergency operations coordination' was the most cited capability as a strength, 'environmental health protection' (against environmental hazards) as a challenge and 'flexibility' (on rules and procedures) as a recommendation. In the survey (n 24), the capability 'information sharing' was most often cited as a challenge. Most staff (66·6 %) reported their programmes were at least somewhat prepared for future weather-related disasters. Only 16·7 % indicated having practiced a work-related emergency response plan since Sandy. Staff who practiced an emergency response plan were more likely to indicate they were prepared (P < 0·05). CONCLUSIONS: The study identified WIC programme areas requiring preparedness improvements. The research methodology can be utilized to assess the continuity of other public health services during disasters.

Evaluating the Contribution of the Built Environment on Obesity Among New York State Students.

OBJECTIVES: One third of school-aged children in New York State (NYS) are overweight or obese, with large geographic disparities across local regions. We used NYS student obesity surveillance data to assess whether these geographical variations are attributable to the built environment. METHOD: We combined NYS Student Weight Status Category Reporting System 2010-2012 data with other government publicly available data. Ordinary least squares regression models identified key determinants of school district-level student obesity rates for elementary and middle/high schools. Geographical weighted regression models explored spatial variations in local coefficients of the built environment predictors. RESULTS: From ordinary least squares models, higher farmers' market density was only significantly associated with lower obesity rates among elementary school students (b = -0.116; p < .01). Higher fast-food restaurant density was significantly associated with higher obesity rates (b = 0.014; p < .05), and higher land use mix was only significantly associated with lower obesity rates (b = -0.054; p < .01) among middle/high school students. In geographical weighted regression analyses, the inverse association between market density and obesity rates among elementary school students was more pronounced in the eastern portion of the state. The relationship between higher fast-food restaurant density and higher obesity rates among middle/high school students was found in the southeastern portion of the state. CONCLUSIONS: Different patterns of food consumption may explain varying determinants of obesity between younger and older students. Regional variations in local associations between the built environment variables and obesity may suggest differences in how healthy food sources are accessed locally.

Variation in Formula Supplementation of Breastfed Newborn Infants in New York Hospitals.

OBJECTIVES: We examined the variation between 126 New York hospitals in formula supplementation among breastfed infants after adjusting for socioeconomic, maternal, and infant factors and stratifying by level of perinatal care. METHODS: We used 2014 birth certificate data for 160 911 breastfed infants to calculate hospital-specific formula supplementation percentages by using multivariable hierarchical logistic regression models. RESULTS: Formula supplementation percentages varied widely among hospitals, from 2.3% to 98.3%, and was lower among level 1 hospitals (18.2%) than higher-level hospitals (50.6%-57.0%). Significant disparities in supplementation were noted for race and ethnicity (adjusted odds ratios [aORs] were 1.54-2.05 for African Americans, 1.85-2.74 for Asian Americans, and 1.25-2.16 for Hispanics, compared with whites), maternal education (aORs were 2.01-2.95 for ≤12th grade, 1.74-1.85 for high school or general education development, and 1.18-1.28 for some college or a college degree, compared with a Master's degree), and insurance coverage (aOR was 1.27-1.60 for Medicaid insurance versus other). Formula supplementation was higher among mothers who smoked, had a cesarean delivery, or diabetes. At all 4 levels of perinatal care, there were exemplar hospitals that met the HealthyPeople 2020 supplementation goal of ≤14.2%. After adjusting for individual risk factors, the hospital-specific, risk-adjusted supplemental formula percentages still revealed a wide variation. CONCLUSIONS: A better understanding of the exemplar hospitals could inform future efforts to improve maternity care practices and breastfeeding support to reduce unnecessary formula supplementation, reduce disparities, increase exclusive breastfeeding and breastfeeding duration, and improve maternal and child health outcomes.

Evaluating the Quality and Usability of Open Data for Public Health Research: A Systematic Review of Data Offerings on 3 Open Data Platforms.

CONTEXT: Government datasets are newly available on open data platforms that are publicly accessible, available in nonproprietary formats, free of charge, and with unlimited use and distribution rights. They provide opportunities for health research, but their quality and usability are unknown. OBJECTIVE: To describe available open health data, identify whether data are presented in a way that is aligned with best practices and usable for researchers, and examine differences across platforms. DESIGN: Two reviewers systematically reviewed a random sample of data offerings on NYC OpenData (New York City, all offerings, n = 37), Health Data NY (New York State, 25% sample, n = 71), and HealthData.gov (US Department of Health and Human Services, 5% sample, n = 75), using a standard coding guide. SETTING: Three open health data platforms at the federal, New York State, and New York City levels. MAIN OUTCOME MEASURES: Data characteristics from the coding guide were aggregated into summary indices for intrinsic data quality, contextual data quality, adherence to the Dublin Core metadata standards, and the 5-star open data deployment scheme. RESULTS: One quarter of the offerings were structured datasets; other presentation styles included charts (14.7%), documents describing data (12.0%), maps (10.9%), and query tools (7.7%). Health Data NY had higher intrinsic data quality (P < .001), contextual data quality (P < .001), and Dublin Core metadata standards adherence (P < .001). All met basic "web availability" open data standards; fewer met higher standards of "hyperlinked to other data." CONCLUSIONS: Although all platforms need improvement, they already provide readily available data for health research. Sustained effort on improving open data websites and metadata is necessary for ensuring researchers use these data, thereby increasing their research value.

Postpartum Loss to HIV Care and HIV Viral Suppression among Previously Diagnosed HIV-Infected Women with a Live Birth in New York State.

Mother-to-child-transmission of HIV in the United States has been greatly reduced, with clear benefits for the child. However, little is known about factors that predict maternal loss to HIV care in the postpartum year. This retrospective cohort study included 980 HIV-positive women, diagnosed with HIV at least one year before pregnancy, who had a live birth during 2008-2010 in New York State. Women who did not meet the following criterion in the 12 months after the delivery-related hospital discharge were considered to be lost to HIV care: two or more laboratory tests (CD4 or HIV viral load), separated by at least 90 days. Adjusted relative risks (aRR) and 95% confidence intervals (CI) for predictors of postpartum loss to HIV care were identified with Poisson regression, solved using generalized estimating equations. Having an unsuppressed (>200 copies/mL) HIV viral load in the postpartum year was also evaluated. Overall, 24% of women were loss to HIV care during the postpartum year. Women with low participation in HIV care during preconception were more likely to be lost to HIV care during the postpartum year (aRR: 2.70; 95% CI: 2.09-3.49). In contrast, having a low birth weight infant was significantly associated with a decreased likelihood of loss to HIV care (aRR: 0.72; 95% CI: 0.53-0.98). While 75% of women were virally suppressed at the last viral load before delivery only 44% were continuously suppressed in the postpartum year; 12% had no viral load test reported in the postpartum year and 44% had at least one unsuppressed viral load test. Lack of engagement in preconception HIV-related health care predicts postpartum loss to HIV care for HIV-positive parturient women. Many women had poor viral control during the postpartum period, increasing the risk of disease progression and infectivity.

Postpartum Human Immunodeficiency Virus Care Among Women Diagnosed During Pregnancy.

OBJECTIVE: To identify factors associated with continuity of care and human immunodeficiency virus (HIV) virologic suppression among postpartum women diagnosed with HIV during pregnancy in New York State. METHODS: This retrospective cohort study was conducted among 228 HIV-infected women diagnosed during pregnancy between 2008 and 2010. Initial receipt of HIV-related medical care (first CD4 or viral load test after diagnosis) was evaluated at 30 days after diagnosis and before delivery. Retention in care (2 or more CD4 or viral load tests, 90 days or greater apart) and virologic suppression (viral load 200 copies/mL or less) were evaluated in the 12 months after hospital discharge. RESULTS: Most women had their initial HIV-related care encounter within 30 days of diagnosis (74%) and before delivery (87%). Of these women, 70% were retained in the first year postpartum. Women waiting more than 30 days for their initial HIV-related care encounter were more likely diagnosed in the first (29%) compared with the third (11%) trimester and were of younger (younger than 25 years, 32%) compared with older (35 years or older, 13%) age. Loss to follow-up within the first year was significantly greater among women diagnosed in the third compared with the first trimester (adjusted relative risk 2.21, 95% confidence interval [CI] 1.41-3.45) and among women who had a cesarean compared with vaginal delivery (adjusted relative risk 1.76, 95% CI 1.07-2.91). Of the 178 women with one or more HIV viral load test in the first year postpartum, 58% had an unsuppressed viral load. CONCLUSION: Despite the high proportion retained in care, many women had poor postpartum virologic control. Robust strategies are needed to increase virologic suppression among newly diagnosed postpartum HIV-infected women.

New York State Public Health System Response to Hurricane Sandy: Lessons From the Field.

OBJECTIVE: The aim of this study was to conduct interviews with public health staff who responded to Hurricane Sandy and to analyze their feedback to assess response strengths and challenges and recommend improvements for future disaster preparedness and response. METHODS: Qualitative analysis was conducted of information from individual confidential interviews with 35 staff from 3 local health departments in New York State (NYS) impacted by Hurricane Sandy and the NYS Department of Health. Staff were asked about their experiences during Hurricane Sandy and their recommendations for improvements. Open coding was used to analyze interview transcripts for reoccurring themes, which were labeled as strengths, challenges, or recommendations and then categorized into public health preparedness capabilities. RESULTS: The most commonly cited strengths, challenges, and recommendations related to the Hurricane Sandy public health response in NYS were within the emergency operations coordination preparedness capability, which includes the abilities of health department staff to partner among government agencies, coordinate with emergency operation centers, conduct routine conference calls with partners, and manage resources. CONCLUSIONS: Health departments should ensure that emergency planning includes protocols to coordinate backup staffing, delineation of services that can be halted during disasters, clear guidelines to coordinate resources across agencies, and training for transitioning into unfamiliar disaster response roles. (Disaster Med Public Health Preparedness. 2016;10:443-453).

New York State Public Health System Response to Hurricane Sandy: An Analysis of Survey Feedback.

OBJECTIVE: The objective was to provide a broad spectrum of New York State and local public health staff the opportunity to contribute anonymous feedback on their own and their agencies' preparedness and response to Hurricane Sandy, perceived challenges, and recommendations for preparedness improvement. METHODS: In 2015, 2 years after Hurricane Sandy, public health staff who worked on Hurricane Sandy response were identified and were provided a link to the anonymous survey. Quantitative analyses were used for survey ratings and qualitative content analyses were used for open-ended questions. RESULTS: Surveys were completed by 129 local health department (LHD) staff in 3 counties heavily impacted by Sandy (Nassau, Suffolk, and Westchester) and 69 staff in the New York State Department of Health who supported the LHDs. Staff agreed that their Hurricane Sandy responsibilities were clearly defined and that they had access to adequate information to perform their jobs. Challenges were reported in the operational, communication, service interruptions, and staff categories, with LHD staff also reporting challenges with shelters. CONCLUSIONS: New York local and state public health staff indicated that they were prepared for Hurricane Sandy. However, their feedback identified specific challenges and recommendations that can be addressed to implement improved preparedness and response strategies. (Disaster Med Public Health Preparedness. 2016;10:454-462).