Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Winfred Wu is active.

Publication


Featured researches published by Winfred Wu.


Journal of General Virology | 2012

Worldwide emergence of multiple clades of enterovirus 68.

Rafal Tokarz; Cadhla Firth; Shabir A. Madhi; Stephen R. C. Howie; Winfred Wu; Amadou Alpha Sall; Saddef Haq; Thomas Briese; W. Ian Lipkin

Human enterovirus 68 (EV-D68) is a historically rarely reported virus linked with respiratory disease. In the past 3 years, a large increase in respiratory disease associated with EV-D68 has been reported, with documented outbreaks in North America, Europe and Asia. In several outbreaks, genetic differences were identified among the circulating strains, indicating the presence of multiple clades. In this report, we analyse archived and novel EV-D68 strains from Africa and the USA, obtained from patients with respiratory illness. Phylogenetic analysis of all EV-D68 sequences indicates that, over the past two decades, multiple clades of the virus have emerged and spread rapidly worldwide. All clades appear to be currently circulating and contributing to respiratory disease.


Influenza and Other Respiratory Viruses | 2013

Estimating influenza incidence and rates of influenza-like illness in the outpatient setting.

Ashley Fowlkes; Sharoda Dasgupta; Edward Chao; Jennifer Lemmings; Kate Goodin; Meghan Harris; Karen Martin; Michelle Feist; Winfred Wu; Rachelle Boulton; Jonathan L. Temte; Lynnette Brammer; Lyn Finelli

Please cite this paper as: Fowlkes et al. (2012) Estimating influenza incidence and rates of influenza‐like illness in the outpatient setting. Influenza and Other Respiratory Viruses DOI: 10.1111/irv.12014.


Journal of the American Medical Informatics Association | 2010

Using electronic health record alerts to provide public health situational awareness to clinicians.

Joseph Lurio; Frances P. Morrison; Michelle Pichardo; Rachel Berg; Michael D. Buck; Winfred Wu; Kwame Kitson; Farzad Mostashari; Neil S. Calman

Alerting providers to public health situations requires timeliness and context-relevance, both lacking in current systems. Incorporating decision support tools into electronic health records may provide a way to deploy public health alerts to clinicians at the point of care. A timely process for responding to Health Alert Network messages sent by the New York City Department of Health and Mental Hygiene was developed by a network of community health centers. Alerts with order sets and recommended actions were created to notify primary care providers of local disease outbreaks. The process, effect, and lessons learned from alerts for Legionella, toxogenic E coli, and measles outbreaks are described. Electronic alerts have the potential to improve management of diseases during an outbreak, including appropriate laboratory testing, management guidance, and diagnostic assistance as well as to enhance bi-directional data exchange between clinical and public health organizations.


Virology Journal | 2011

Longitudinal molecular microbial analysis of influenza-like illness in New York City, May 2009 through May 2010.

Rafal Tokarz; Vishal Kapoor; Winfred Wu; Joseph Lurio; Komal Jain; Farzad Mostashari; Thomas Briese; W. Ian Lipkin

BackgroundWe performed a longitudinal study of viral etiology in samples collected in New York City during May 2009 to May 2010 from outpatients with fever or respiratory disease symptoms in the context of a pilot respiratory virus surveillance system.MethodsSamples were assessed for the presence of 13 viruses, including influenza A virus, by MassTag PCR.ResultsAt least one virus was detected in 52% of 940 samples analyzed, with 3% showing co-infections. The most frequently detected agents were rhinoviruses and influenza A, all representing the 2009 pandemic H1N1 strain. The incidence of influenza H1N1-positive samples was highest in late spring 2009, followed by a decline in summer and early fall, when rhinovirus infections became predominant before H1N1 reemerged in winter. Our study also identified a focal outbreak of enterovirus 68 in the early fall of 2009.ConclusionMassTag multiplex PCR affords opportunities to track the epidemiology of infectious diseases and may guide clinicians and public health practitioners in influenza-like illness and outbreak management. Nonetheless, a substantial proportion of influenza-like illness remains unexplained underscoring the need for additional platforms.


American Journal of Public Health | 2012

Strengthening Public Health and Primary Care Collaboration Through Electronic Health Records

Neil S. Calman; Diane Hauser; Joseph Lurio; Winfred Wu; Michelle Pichardo

Electronic health records (EHRs) have great potential to serve as a catalyst for more effective coordination between public health departments and primary care providers (PCP) in maintaining healthy communities. As a system for documenting patient health data, EHRs can be harnessed to improve public health surveillance for communicable and chronic illnesses. EHRs facilitate clinical alerts informed by public health goals that guide primary care physicians in real time in their diagnosis and treatment of patients. As health departments reassess their public health agendas, the use of EHRs to facilitate this agenda in primary care settings should be considered. PCPs and EHR vendors, in turn, will need to configure their EHR systems and practice workflows to align with public health priorities as these agendas include increased involvement of primary care providers in addressing public health concerns.


Emerging Infectious Diseases | 2011

Syndromic Surveillance during Pandemic (H1N1) 2009 Outbreak, New York, New York, USA

Marlena Plagianos; Winfred Wu; Colleen M. McCullough; Marc Paladini; Joseph Lurio; Michael D. Buck; Neil S. Calman; Nicholas D. Soulakis

We compared emergency department and ambulatory care syndromic surveillance systems during the pandemic (H1N1) 2009 outbreak in New York City. Emergency departments likely experienced increases in influenza-like-illness significantly earlier than ambulatory care facilities because more patients sought care at emergency departments, differences in case definitions existed, or a combination thereof.


Journal of Public Health Management and Practice | 2012

Impact of integrating public health clinical decision support alerts into electronic health records on testing for gastrointestinal illness.

Winfred Wu; George Hripcsak; Joseph Lurio; Michelle Pichardo; Rachel Berg; Michael D. Buck; Frances P. Morrison; Kwame Kitson; Neil S. Calman; Farzad Mostashari

Laboratory testing by clinicians is essential to outbreak investigations. Electronic health records may increase testing through clinical decision support that alerts providers about existing outbreaks and facilitates laboratory ordering. The impact on laboratory testing was evaluated for foodborne disease outbreaks between 2006 and 2009. After controlling for standard public health messaging and season, decision support resulted in a significant increase in laboratory testing and may be useful in enhancing public health messaging and provider action.


Journal of Public Health Management and Practice | 2013

Evaluation of a pilot respiratory virus surveillance system linking electronic health record and diagnostic data.

Al-Samarrai T; Winfred Wu; Elizabeth M. Begier; Joseph Lurio; Tokarz R; Plagianos M; Neil S. Calman; Farzad Mostashari; Briese T; Lipkin Wi; Carolyn M. Greene

CONTEXT During the onset of 2009 pandemic influenza A (H1N1) (pH1N1), the New York City Department of Health and Mental Hygiene implemented a pilot respiratory virus surveillance system. OBJECTIVES We evaluated the performance of this pilot system, which linked electronic health record (EHR) clinical, epidemiologic, and diagnostic data to monitor influenza-like illness (ILI) in the community. DESIGN Surveillance was conducted at 9 community health centers with EHRs. Clinical decision support system alerts encouraged diagnostic testing of patients. Rapid influenza diagnostic testing (RIDT) and multiplex polymerase chain reaction assay (MassTag PCR) were performed sequentially. SETTING Nine Institute for Family Health (IFH) clinics in Manhattan and the Bronx during May 26 to June 30, 2009, the pH1N1 outbreak peak. PARTICIPANTS Adult and pediatric patients presenting to IFH clinics during May 26 to June 30, 2009. MAIN OUTCOME MEASURES By using Centers for Disease Control and Prevention guidelines, we evaluated the systems completeness, sensitivity, timeliness, and epidemiologic usefulness. RESULTS Of 537 ILI visits (5.7% of all visits), 17% underwent diagnostic testing. Of the 132 specimens with both a RIDT and MassTag PCR result, 90 (68%) had a MassTag PCR-identified respiratory virus, most commonly pH1N1 (n = 69; 77%). Of the 81 specimens that met the ILI case definition, 58 (72%) were positive for a respiratory virus tested for by MassTag PCR; 48 (59%) were positive for pH1N1. Ninety-four percent of ILI patients positive for pH1N1 were 45 years or younger. Sensitivity and specificity of RIDT (29% and 94%) and ILI case definition (70% and 48%) for pH1N1 were calculated using MassTag PCR as the standard. Results of RIDT took a median of 6 days. CONCLUSIONS Despite low RIDT sensitivity for pH1N1 and limited timeliness, integration of EHR and diagnostic data has potential to provide valuable epidemiologic information, guide public health response, and represents a new model for community surveillance for influenza and respiratory viruses.


American Journal of Epidemiology | 2018

Associations of Residential Socioeconomic, Food, and Built Environments With Glycemic Control in Persons With Diabetes in New York City From 2007–2013

Bahman P. Tabaei; Andrew Rundle; Winfred Wu; Carol R. Horowitz; Victoria Mayer; Daniel M. Sheehan; Shadi Chamany

In the present study, we examined the longitudinal associations between residential environmental factors and glycemic control in 182,756 adults with diabetes in New York City from 2007 to 2013. Glycemic control was defined as a hemoglobin A1c (HbA1c) level less than 7%. We constructed residential-level measures and performed principle component analysis to formulate a residential composite score. On the basis of this score, we divided residential areas into quintiles, with the lowest and highest quintiles reflecting the least and most advantaged residential environments, respectively. Several residential-level environmental characteristics, including more advantaged socioeconomic conditions, greater ratio of healthy food outlets to unhealthy food outlets, and residential walkability were associated with increased glycemic control. Individuals who lived continuously in the most advantaged residential areas took less time to achieve glycemic control compared with the individuals who lived continuously in the least advantaged residential areas (9.9 vs. 11.5 months). Moving from less advantaged residential areas to more advantaged residential areas was related to improved diabetes control (decrease in HbA1c = 0.40%, 95% confidence interval: 0.22, 0.55), whereas moving from more advantaged residential areas to less advantaged residential areas was related to worsening diabetes control (increase in HbA1c = 0.33%, 95% confidence interval: 0.24, 0.44). These results show that residential areas with greater resources to support healthy food and residential walkability are associated with improved glycemic control in persons with diabetes.


Implementation Science | 2015

Testing the use of practice facilitation in a cluster randomized stepped-wedge design trial to improve adherence to cardiovascular disease prevention guidelines: HealthyHearts NYC.

Donna Shelley; Gbenga Ogedegbe; Sheila Anane; Winfred Wu; Keith Goldfeld; Heather T. Gold; Sue A. Kaplan; Carolyn A. Berry

BackgroundHealthyHearts NYC (HHNYC) will evaluate the effectiveness of practice facilitation as a quality improvement strategy for implementing the Million Hearts’ ABCS treatment guidelines for reducing cardiovascular disease (CVD) among high-risk patients who receive care in primary care practices in New York City. ABCS refers to (A) aspirin in high-risk individuals; (B) blood pressure control; (C) cholesterol management; and (S) smoking cessation. The long-term goal is to create a robust infrastructure for implementing and disseminating evidence-based practice guidelines (EBPG) in primary care practices.Methods/designWe are using a stepped-wedge cluster randomized controlled trial design to evaluate the implementation process and the impact of practice facilitation (PF) versus usual care on ABCS outcomes in 250 small primary care practices. Randomization is at the practice site level, all of which begin as part of the control condition. The intervention consists of one year of PF that includes a combination of one-on-one onsite visits and shared learning across practice sites. PFs will focus on helping sites implement evidence-based components of patient-centered medical home (PCMH) and the chronic care model (CCM), which include decision support, provider feedback, self-management tools and resources, and linkages to community-based services.DiscussionWe hypothesize that practice facilitation will result in superior clinical outcomes compared to usual care; that the effects of practice facilitation will be mediated by greater adoption of system changes in accord with PCMH and CCM; and that there will be increased adaptive reserve and change capacity.Trial registrationNCT02646488

Collaboration


Dive into the Winfred Wu's collaboration.

Top Co-Authors

Avatar

Neil S. Calman

Icahn School of Medicine at Mount Sinai

View shared research outputs
Top Co-Authors

Avatar

Farzad Mostashari

New York City Department of Health and Mental Hygiene

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Bahman P. Tabaei

New York City Department of Health and Mental Hygiene

View shared research outputs
Top Co-Authors

Avatar

Michael D. Buck

New York City Department of Health and Mental Hygiene

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Carolyn M. Greene

New York City Department of Health and Mental Hygiene

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Elizabeth M. Begier

New York City Department of Health and Mental Hygiene

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge