Welcome

Welcome to New York Flu Watch, a resource you can use to follow influenza activity across New York State and New York City in near real time. This page brings together multiple open data sources to give you a comprehensive view of laboratory-confirmed influenza cases, emergency department utilization, hospitalizations, mortality, and vaccination coverage. By drawing from statewide and city-level surveillance systems, you can explore how influenza patterns differ across regions, populations, and phases of the season. Whether you are making operational decisions, planning prevention efforts, or simply trying to stay informed, the analyses presented here are intended to help you interpret current trends with clarity and context.

Data Overview

You will find that the data presented on this page represent several complementary surveillance streams, each providing a different perspective on the burden and distribution of influenza. Laboratory-confirmed case data give you insight into virologically confirmed infections, while emergency department and hospitalization data highlight how many people are seeking care for influenza-related illness. Mortality data, drawn from federal vital statistics systems, show you how influenza contributes to severe outcomes across age groups and regions. Vaccination coverage data, collected through national surveys, allow you to assess how well communities are protected as the season unfolds. Together, these datasets form a layered picture of influenza activity, although each dataset has its own structure, strengths, and limitations.

How to Use These Data

You can refer to these data to understand where influenza activity is most prominent, how quickly it is increasing or decreasing, and which groups or geographic areas may be experiencing greater burden. By reviewing the maps, time trends, and age-stratified analyses, you can identify patterns that may warrant closer attention—such as early spikes in activity, regional disparities, or notable changes in healthcare use. These displays also help you compare the current season with historical patterns, an essential step in determining whether observed activity is typical or unusually elevated. Public health departments, hospital systems, and community organizations may find these outputs useful for situational awareness, resource planning, vaccination outreach, and communication with the public. Individuals can also use these data to make informed decisions about preventive behaviors, healthcare-seeking, and vaccination timing.

Why Are These Data Important?

Understanding influenza trends is crucial for protecting both individual and community health, and these data provide you with actionable insight into the timing, spread, and severity of each flu season. The data help you see when influenza begins circulating, how rapidly it grows, and which areas or groups experience higher levels of illness. These patterns support critical planning and response actions, such as reinforcing vaccination messaging, preparing healthcare facilities for increased demand, and identifying communities where additional outreach may be needed. Because influenza varies from year to year—and because vaccination uptake, population immunity, and circulating strains change over time—having timely and transparent data is essential for making informed policy and operational decisions. By following these indicators throughout the season, you can stay aware of emerging risks and understand how influenza is affecting New Yorkers in real time.

What Do These Data Show?

The figures and tables on this page show you how influenza is manifesting across multiple dimensions, including counts, rates, severity, and geographic variation. Laboratory-confirmed case data show where reported infections are occurring and how those patterns shift across weeks, regions, and influenza types. Emergency department visit and hospitalization data highlight the clinical burden of influenza-like illness on healthcare systems, an important marker of severity and system stress that may rise even when testing is incomplete. Mortality data show how influenza contributes to severe outcomes, allowing you to explore differences across age groups and regions. Vaccination coverage data give you a sense of how well-protected various populations may be, and whether coverage levels align with seasonal risk. Taken together, these outputs present a detailed and interconnected view of the influenza landscape.

What Do These Data Not Show?

Although these data provide valuable insights, they do not reflect the full extent of influenza activity in the population. Laboratory-confirmed cases capture only individuals who sought care, were tested, and received results that were reported to surveillance systems; many mild or moderate influenza infections occur outside of healthcare settings and are therefore not counted. Emergency department and hospitalization data reflect only the subset of people who became ill enough to seek urgent or inpatient care, so they do not represent all influenza-like illness in the community. Mortality data report deaths in which influenza or related conditions were identified on death certificates, but they do not capture all influenza-associated deaths, especially in cases where influenza was not tested for or recorded. Vaccination coverage data are based on survey responses and may be subject to recall error, nonresponse bias, or sampling variability. For these reasons, you should consider these data as highly useful indicators—but not complete measures—of influenza activity.

Implications for Public Health Practice

Using these data, you can better anticipate the needs of your community, guide prevention strategies, and strengthen preparedness for periods of increased respiratory illness. Trends in laboratory-confirmed cases and emergency department utilization can help you identify when activity is accelerating and when interventions such as vaccination messaging, testing reminders, or enhanced infection prevention practices may be most effective. Regional and age-specific analyses can help you target resources to populations or areas experiencing disproportionate impact, while vaccination coverage data can support efforts to reduce disparities in protection. Mortality patterns can inform high-level planning by highlighting groups that may be at increased risk for severe outcomes. By integrating these data into ongoing monitoring efforts, you can support timely public health action, promote community resilience, and enhance the overall response to influenza across New York State.

Executive Summary¹

Date: February 27, 2026 Subject: Influenza Surveillance Briefing: Declining Influenza A and Rising Influenza B Activity

Statewide surveillance data indicate a transition in New York’s current influenza season, with Influenza B now the dominant circulating subtype. After a substantial early-season wave of Influenza A that peaked at 73,933 laboratory-confirmed cases during the week ending December 20, 2025, cases have steadily declined to 1,907 for the most recent week ending February 21, 2026. Conversely, Influenza B cases have risen to 6,184 in the same week, the highest weekly total for this subtype this season. The intensity of the earlier Influenza A wave was notable compared to prior years; for instance, the 36,478 Influenza A cases reported in the final week of 2025 far exceeded the 3,343 cases from the same week in the 2014-2015 season.

Geographic data, reflecting cumulative activity through October 4, 2025, show considerable regional variation in burden early in the season. The highest cumulative incidence rates per 100,000 population were observed in the Long Island (2,406.7) and Mid-Hudson (2,211.7) regions. Several counties in these areas reported the highest rates statewide, including Putnam (2,944.9), Nassau (2,531.3), and Westchester (2,511.7). In contrast, the Western New York (1,073.7) and North Country (1,273.4) regions recorded the lowest cumulative rates. It is important to note these rates reflect only the initial months of the season and may be influenced by local testing practices and healthcare-seeking behaviors.

Syndromic surveillance from New York City, with data available through early November 2025, provides insight into the rapid escalation of the early-season wave. For the week ending November 8, 2025, the percentage of emergency department (ED) visits for influenza increased from 0.23% to 0.47%, a 104% rise from the prior week. During the same period, the proportion of hospitalizations from the ED for influenza rose from 0.04% to 0.16%. These metrics, although representing a small fraction of overall ED traffic, coincided with the initial steep increase in statewide laboratory-confirmed cases, suggesting a notable rise in community transmission and healthcare burden at that time.

Contextual data from previous seasons may help frame the current situation, though current-season data are not yet available for these metrics. State-level mortality data from the 2022-2023 influenza season showed a peak of 91 deaths in a single week during late December 2022, providing a benchmark for potential seasonal severity. Separately, influenza vaccine coverage estimates for the prior 2024-2025 season (as of February 2025) showed that 31.1% of adults aged 18-49 and 44.8% of adults aged 50-64 had been vaccinated. For most age groups, these coverage levels were slightly lower than those observed in the 2023-2024 season. If similar coverage patterns exist this year, this may be a contributing factor to population susceptibility.

Laboratory-Confirmed Cases of Influenza in New York State