Emerging Infections Program

The New York State Emerging Infections Program (EIP), sponsored by the Centers for Disease Control and Prevention, is part of a national effort to provide population-based communicable disease data for surveillance of disease patterns, evaluation of vaccine programs, and to identify populations at risk. The data is used to evaluate public health interventions and inform policy.

The EIP is made up of a network of 12 state health departments (California, Colorado, Connecticut, Georgia, Maryland, Minnesota, New Mexico, New York, Oregon, Tennessee, Michigan and Washington State) and their collaboration with academic institutions, federal agencies, public health and clinical laboratories, infection preventionists and healthcare providers. 

The University of Rochester is an academic partner working with the New York State Department of Health on EIP projects including studies of risk factors for influenza disease requiring hospital admission, invasive Staphylococcus aureus, and Clostridioides difficile in healthcare and community settings.

• SARS-CoV-2 (COVID-19) Surveillance
• Influenza Hospitalization Surveillance
• Clostridium difficile Surveillance
• Invasive Staphylococcus aureus
• Respiratory Syncytial Virus (RSV) Surveillance
• HPV Vaccine Impact
• Drug-Resistant Bacteria (MuGSI)

• Healthcare-Associated Infections (HAI) and Antimicrobial Use Prevalence Survey

Related Links

• HAICViz Power BI Dashboard: This data visualization tool from the CDC allows you to analyze and visualize data for HAIC surveillance, including Candida bloodstream infections, Clostridioides difficile infections, Staphylococcus aureus infections, and case data collected through the Multi-site Gram-negative Surveillance Initiative. 
• CDC Emerging Infections Program
• NYS Infectious Diseases Program

Other Publications

• Fay K; Sapiano MRP; Gokhale R; Dantes R; Thompson N; Katz DE; Ray SM; Wilson LE; Perlmutter R; Nadle J; Godine D; Frank L; Brousseau G; Johnston H; Bamberg W; Dumyati G; Nelson D; et al. Assessment of Health Care Exposures and Outcomes in Adult Patients With Sepsis and Septic Shock. JAMA Network Open.2020;3(7):e206004
• Thompson ND, Edwards JR, Bamberg W, Beldavs ZG, Dumyati G, Godine D, Maloney M, Kainer M, Ray S, Thompson D, Wilson L, Magill SS. "Estimating central line-associated bloodstream infection incidence rates by sampling of denominator data: A prospective, multicenter evaluation." American journal of infection control. 2015 Aug; 43(8):853-6. Epub 2015 May 21.