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Purpose: To determine the distribution of diagnosed SARS-CoV-2 infections by testing modality (at-home rapid antigen [home tests] versus laboratory-based tests in clinical settings [clinical tests]), assess factors associated with clinical testing, and estimate the true total number of diagnosed infections in New York State (NYS)., Methods: We conducted an online survey among NYS residents and analyzed data from 1012 adults and 246 children with diagnosed infection July 13-December 7, 2022. Weighted descriptive and logistic regression model analyses were conducted. Weighted percentages and prevalence ratios by testing modality were generated. The percent of infections diagnosed by clinical tests via survey data were synthesized with daily lab-reported results to estimate the total number of diagnosed SARS-CoV-2 infections in NYS July 1-December 31, 2022., Results: Over 70% of SARS-CoV-2 infections in NYS during the study period were diagnosed exclusively with home tests. Diagnosis with a clinical test was associated with age, race/ethnicity, and region among adults, and sex, age, and education among children. We estimate 4.1 million NYS residents had diagnosed SARS-CoV-2 infection July 1-December 31, 2022, compared to 1.1 million infections reported over the same period., Conclusions: Most SARS-CoV-2 infections in NYS were diagnosed exclusively with home tests. Surveillance metrics using laboratory-based reporting data underestimate diagnosed infections., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Inc.)

On July 18, 2022, the New York State Department of Health (NYSDOH) notified CDC of detection of poliovirus type 2 in stool specimens from an unvaccinated immunocompetent young adult from Rockland County, New York, who was experiencing acute flaccid weakness. The patient initially experienced fever, neck stiffness, gastrointestinal symptoms, and limb weakness. The patient was hospitalized with possible acute flaccid myelitis (AFM). Vaccine-derived poliovirus type 2 (VDPV2) was detected in stool specimens obtained on days 11 and 12 after initial symptom onset. To date, related Sabin-like type 2 polioviruses have been detected in wastewater* in the patient's county of residence and in neighboring Orange County up to 25 days before (from samples originally collected for SARS-CoV-2 wastewater monitoring) and 41 days after the patient's symptom onset. The last U.S. case of polio caused by wild poliovirus occurred in 1979, and the World Health Organization Region of the Americas was declared polio-free in 1994. This report describes the second identification of community transmission of poliovirus in the United States since 1979; the previous instance, in 2005, was a type 1 VDPV (1). The occurrence of this case, combined with the identification of poliovirus in wastewater in neighboring Orange County, underscores the importance of maintaining high vaccination coverage to prevent paralytic polio in persons of all ages., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest.

The "Undetectable = Untransmittable" campaign indicates that persons living with Human Immunodeficiency Virus (HIV) who maintain a suppressed viral load cannot sexually transmit the virus. However, there is little knowledge of the percent of individuals at a population level who sustain viral suppression long term. The aims of this study were to: (1) establish a baseline of persons living with diagnosed HIV who resided in New York and had consecutive suppressed viral load tests; (2) describe the risk of virologic failure among those who were consecutively suppressed; and (3) gain an understanding of the length of time between consecutive viral suppression to virologic failure. A total of 102,339 New Yorkers aged 13-90 years were living with diagnosed HIV at the beginning of 2012; 47.9% were consecutively suppressed (last two HIV viral load test results from 2010-2011 that were < 420 days apart and < 200 copies/mL). Of consecutively suppressed individuals, 54.3% maintained viral suppression for the entire study period and 33.6% experienced virologic failure during the study period. Among persons who experienced virologic failure, 82.6% did so six or more months after being consecutively suppressed. Our findings support the need for ongoing viral load monitoring, adherence support, and ongoing risk reduction messaging to prevent forward HIV transmission.

Algorithms are regularly used to identify persons living with diagnosed human immunodeficiency virus (HIV) (PLWDH) in Medicaid data. To our knowledge, there are no published reports of an HIV algorithm from Medicaid claims codes that have been compared with an HIV surveillance system to assess its sensitivity, specificity, positive predictive value, and negative predictive value in identifying PLWDH. Therefore, our aims in this study were to 1) develop an algorithm that could identify PLWDH in New York State Medicaid data from 2006-2014 and 2) validate this algorithm using the New York State HIV surveillance system. Classification and regression tree analysis identified 16 nodes that we combined to create a case-finding algorithm with 5 criteria. This algorithm identified 86,930 presumed PLWDH, 88.0% of which were verified by matching to the surveillance system. The algorithm yielded a sensitivity of 94.5%, a specificity of 94.4%, a positive predictive value of 88.0%, and a negative predictive value of 97.6%. This validated algorithm has the potential to improve the utility of Medicaid data for assessing health outcomes and programmatic interventions., (© The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Since implementation of Standard Precautions* for the prevention of bloodborne pathogen transmission in 1985, health care-associated transmission of human immunodeficiency virus (HIV) in the United States has been rare (1). In October 2017, the New York City Department of Health and Mental Hygiene (NYCDOHMH) and the New York State Department of Health (NYSDOH) were notified by a clinician of a diagnosis of acute HIV infection in a young adult male (patient A) without recognized risk factors (i.e., he was monogamous, had an HIV-negative partner, and had no injection drug use) who had recently been hospitalized for a chronic medical condition. The low risk coupled with the recent hospitalization and medical procedures prompted NYSDOH, NYCDOHMH, and CDC to investigate this case as possible health care-associated transmission of HIV. Among persons with known HIV infection who had hospitalization dates overlapping those of patient A, one person (patient B) had an HIV strain highly similar to patient A's strain by nucleotide sequence analysis. The sequence relatedness, combined with other investigation findings, indicated a likely health care-associated transmission. Nucleotide sequence analysis, which is increasingly used for detecting HIV clusters (i.e., persons with closely related HIV strains) and to inform public health response (2,3), might also be used to identify possible health care-associated transmission of HIV to someone with health care exposure and no known HIV risk factors (4)., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

Background: Data-to-Care (D2C) programming is an important strategy in locating and relinking persons with HIV who are not in care (NIC), back to care. However, Health Department D2C programs have found a large proportion of individuals who seem NIC are living outside of their jurisdiction. Jurisdictions are limited in ability to cross-communicate regarding such individuals., Setting: Two D2C programs [New York State (NYS) and Florida (FL)] funded through the Partnerships-for-Care Demonstration Project, partnered to conduct a feasibility pilot project to test cross-jurisdictional D2C reciprocity., Methods: Jurisdictions made efforts to set up infrastructure for cross-jurisdictional D2C, and NYS worked to identify persons reported in NYS presumed in need of linkage/relinkage efforts in FL using 3 years of NYS D2C program outcomes., Results: One hundred forty NYS NIC individuals were presumed to need linkage/relinkage efforts in FL. However, case dispositions for these individuals were not able to be advanced beyond determining HIV care status due to 4 critical challenges: (1) Local legal and regulatory permissibility for sharing identifiable HIV surveillance information outside of a specific jurisdiction varies; (2) Electronic infrastructure in place does not support public health follow-up of individuals who are not within a jurisdiction's HIV surveillance system; (3) An individual's verifiable current residence is not easily attained; and (4) Roles, responsibilities, and case prioritization within each state, and across jurisdictions vary and require clear delineation., Conclusions: Although programmatic challenges during this D2C feasibility pilot project were unsurmountable for NYS and FL, potential solutions presented may facilitate broader national cross-jurisdictional D2C reciprocity.

Existing data dissemination structures primarily rely on top-down approaches. Unless designed with the end user in mind, this may impair data-driven clinical improvements to Human Immunodeficiency Virus (HIV) prevention and care. In this study, we implemented a data visualization activity to create region-specific data presentations collaboratively with HIV providers, consumers of HIV care, and New York State (NYS) Department of Health AIDS Institute staff for use in local HIV care decision-making. Data from the NYS HIV Surveillance Registry (2009-2013) and HIV care facilities (2010-2015) participating in a Health Resources and Services Administration (HRSA) Systems Linkages and Access to Care project were used. Each data package incorporated visuals for: linkage to HIV care, retention in care and HIV viral suppression. End-users were vocal about their data needs and their capacity to interpret public health data. This experience suggests that data dissemination strategies should incorporate input from the end user to improve comprehension and optimize HIV care.

Prompt entry to care after HIV diagnosis benefits the infected individual and reduces the likelihood of further transmission of the virus. The New York State HIV Testing Law of 2010 requires diagnosing providers to refer persons newly diagnosed with HIV to follow-up medical care. This study used routinely collected HIV-related laboratory data from the New York State HIV surveillance system to assess whether the fraction of newly diagnosed cases entering care within 90 days of diagnosis increased after the implementation of the law. Laboratory data on 23,302 newly diagnosed cases showed that entry to care within 90 days rose steadily from 72.0% in 2007 to 85.4% in 2012. The rise was observed across all race/ethnic groups, ages, transmission risk groups, sexes, and regions of residence. Logistic regression analyses of entry to care pre-law and post-law, controlling for demographic characteristics, transmission risk, and geographic area, indicate that percentage of newly diagnosed cases entering care within 90 days grew more rapidly in the post-law period. This is consistent with a positive effect of the law on entry to care.

As of September 2010, New York State (NYS) Public Health Law mandates the offer of HIV testing to all persons aged 13-64 years receiving hospital or primary care services. Changes in the number of HIV tests 13 months before and after law enactment were assessed using HIV test volume data from 166 laboratories holding NYS permits to conduct HIV testing on specimens originating in NYS. Compared with the pre-enactment baseline, overall HIV testing volume increased by 13% following enactment, with the volume of conventional and rapid HIV screening tests increasing by 12.0% and 13.7%, respectively. These data suggest that testing law is having an impact consistent with the legislative intent to increase HIV testing in NYS. Monitoring should be continued to assess testing trends across a variety of health care venues to identify and address additional barriers to HIV testing access.

Decreasing mother-to-child transmission is changing the population of children and adolescents with HIV. This project used recent epidemiological data to develop short-term projections of children and adolescents living with diagnosed HIV infection in New York State. A population simulation model was created to project prevalence of diagnosed HIV cases aged 0-19 years by age, sex, race/ethnicity and risk for years 2007-2014. Using 2006 data as the baseline population and 2001-2006 diagnosis and death data, annual diagnoses and deaths were calculated for each age/sex/race/risk category and known cases were 'aged' into the next year. The model produced annual estimates until 2014. The model predicts a decline in the number of persons aged 0-19 years living with diagnosed HIV in New York from 2810 in 2006 to 1431 in 2014, a net decrease of 49%. Living cases with paediatric risk continue to decrease. Cases aged 13-19 with non-paediatric risk increase slowly, leading to a shift in the risk composition of the population. The dominant effect seen in the model is the ageing out of perinatally infected children born before measures to prevent mother-to-child transmission were broadly implemented in the mid- to late 1990s. Changing trends in the young HIV-infected population should be considered in developing public health programmes for HIV prevention and care in New York State for the coming years., (© 2011 Blackwell Publishing Ltd.)

Background: HIV transmitted drug resistance (TDR) is a public health concern because it has the potential to compromise antiretroviral therapy (ART) at the population level. In New York State, high prevalence of TDR in a local cohort and a multiclass resistant case cluster led to the development and implementation of a statewide resistance surveillance system., Methodology: We conducted a cross-sectional analysis of the 13,109 cases of HIV infection that were newly diagnosed and reported in New York State between 2006 and 2008, including 4,155 with HIV genotypes drawn within 3 months of initial diagnosis and electronically reported to the new resistance surveillance system. We assessed compliance with DHHS recommendations for genotypic resistance testing and estimated TDR among new HIV diagnoses., Principal Findings: Of 13,109 new HIV diagnoses, 9,785 (75%) had laboratory evidence of utilization of HIV-related medical care, and 4,155 (43%) had a genotype performed within 3 months of initial diagnosis. Of these, 11.2% (95% confidence interval [CI], 10.2%-12.1%) had any evidence of TDR. The proportion with mutations associated with any antiretroviral agent in the NNRTI, NRTI or PI class was 6.3% (5.5%-7.0%), 4.3% (3.6%-4.9%) and 2.9% (2.4%-3.4%), respectively. Multiclass resistance was observed in <1%. TDR did not increase significantly over time (p for trend = 0.204). Men who have sex with men were not more likely to have TDR than persons with heterosexual risk factor (OR 1.0 (0.77-1.30)). TDR to EFV+TDF+FTC and LPV/r+TDF+FTC regimens was 7.1% (6.3%-7.9%) and 1.4% (1.0%-1.8%), respectively., Conclusions/significance: TDR appears to be evenly distributed and stable among new HIV diagnoses in New York State; multiclass TDR is rare. Less than half of new diagnoses initiating care received a genotype per DHHS guidelines.

To better understand the transmission and epidemiology of human listeriosis, 647 Listeria monocytogenes isolates obtained from human listeriosis cases in four U.S. locations (Michigan, Ohio, New York State, and New York City) over 61 months (1998 to 2003) were characterized by automated EcoRI ribotyping. A total of 65 ribotypes were differentiated among the characterized isolates; 393, 227, and 24 isolates were classified into lineages I, II, and III, respectively, and 3 isolates were not classified to lineage. The three most common ribotypes (responsible for 39% of all cases) represented L. monocytogenes epidemic clones, each of which had previously been linked to at least two human listeriosis outbreaks. Categorical analyses revealed that ribotypes and lineages were nonrandomly distributed among the four locations. Temporal cluster analysis of cases identified 13 statistically significant temporal subtype clusters, which represented 26% of all cases. Three of these clusters matched previously described human listeriosis outbreaks. Isolates involved in clusters belonged to nine ribotypes. Four, eight, and one cluster were caused by lineages I, II, and III, respectively. The two largest clusters were both caused by the epidemic clone representing ribotype DUP-1044A. Categorical analyses revealed no significant associations between lineage or ribotype and clinical manifestation (central nervous system infection, septicemia, fetal infection, or other infection) or disease outcome (fatal or not fatal). Although human listeriosis cases are caused by isolates belonging to a diversity of EcoRI ribotypes, specific lineage I epidemic clones cause a large number of human listeriosis cases. Many human listeriosis cases can be grouped into statistically significant temporal clusters, including widely distributed and region-specific clusters associated with isolates of various ribotypes. L. monocytogenes lineages and EcoRI ribotypes do not appear to differ in their likelihood of causing different clinical manifestations or mortality.