RESP-NET: Monitoring COVID-19, RSV, & Influenza Hospitalizations

CDC
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2 Video Views·Oct 8, 2024
Respiratory Virus Hospitalization Surveillance Network (RESP-NET) is made up of three networks that monitor COVID-19, respiratory syncytial virus (RSV), and influenza hospitalizations. Launched in 2003 as part of CDC’s strategy for addressing the worldwide threat of emerging infectious diseases, the network has had tangible effects on major public health policies, including playing a pivotal role in crucial decisions surrounding influenza, COVID-19, and RSV vaccine policies.
This video can also be viewed at
https://www.cdc.gov/vaccines/videos/low-res/respiratory-viruses/RESP-NET-monitoring-COVID-19-RSV-influenza-hospitalizations.mp4
Influenza, RSV, and COVID-19 are very common pathogens. From a public health perspective,
we care about them because of their ability to cause severe disease.
RespNet is a surveillance system that helps us understand that severe disease,
who's at risk for it, and what are their outcomes. At a high level, RespNet is set up to conduct
population-based surveillance, or monitoring of influenza, RSV, and COVID-related hospitalizations
on a population level. We try to capture every case within a population so you can actually
describe who is being impacted in a more representative way. So you can calculate the
rate of disease within, say, the population of a county, the population of a state,
and that is much more representative than a single clinic or a single academic institution
in terms of understanding the epidemiology or the spread of a disease in the population.
And it's set up to be longitudinal. So it starts, say, in 2003, but we keep it going so you can
compare over years what is different in 2003 compared to 2004 compared to 2024
in whatever pathogen you're looking at. RespNet is absolutely critical for us to maintain
the level of medical care that is needed each viral season. Without RespNet, we would be totally
taken by surprise each season, and it would be even worse in a pandemic without the critical
infrastructure that RespNet provides. So Colorado has benefited from RespNet in that we have really
robust and rich data from our five-county Denver metro catchment area. And while we may only have
that data in that catchment area, I think it's really applicable to the rest of the state. So
I think we've been able to share information not only about, you know, who's being hospitalized and
what those hospitalizations look like, but also some of the research and projects that have come
out of RespNet, FluServNet specifically, about, you know, who's more affected by hospital
influenza and who's more likely to be hospitalized. And in Colorado, that isn't so much based on your
location. It's really throughout the state we've been able to generalize that information.
In early 2021, we met with our RespNet colleagues at CDC, and they alerted us to an alarming trend
in the data. We were seeing disproportionate hospitalization rates in our Black and
African-American communities. When we looked at our Oregon data, we saw those same trends.
We used that information to reach out to our Black and African-American community leaders,
and we worked with them on a targeted vaccine outreach campaign that was incredibly successful.
Ultimately, we were able to vaccinate over 98 percent of that community, the highest rate
reported by any state that reports those data. The additional clinical detail that we capture
in our surveillance, our hospital-based surveillance, allows for understanding both
of treatment and vaccine effectiveness, which informs policy and public acceptance of these
treatments and vaccines, as well as the ability to understand risk factors and be able to present,
again, to policymakers and the public, the risk of severe disease. We don't collect data
just to keep the data and to study it. It's really to inform practice, both in healthcare
and in the public. And these efforts to get our data out have really accelerated our ability to
do that. What is so fulfilling about ResNet is doing the work to understand the epidemiology of
these viruses, and coming up with the data that can inform methods to prevent the disease caused
by these viruses, and being able to assess the impact of those methods of prevention and control.
And you feel like you really are getting data for public health action. You're saving lives.
You are impacting people's health.
