When CDC Stops Counting, Diseases Stop Counting

Read Time: 5 min

Surveillance — the systematic counting of who gets sick, who dies, and from what — is not a glamorous function of public health. It does not generate headlines the way a new vaccine or a dramatic outbreak response does. But it is, without question, the foundation upon which every other public health activity rests. You cannot contain what you cannot see. You cannot prevent what you refuse to measure. And when the agency responsible for that measurement stops doing its job, the consequences are not felt immediately; they accumulate quietly, invisibly, until one day a preventable outbreak becomes an emergency that could have been anticipated years earlier.

That is why a recent finding from academic researchers deserves far more public attention than it has received. Of 82 regularly updated and publicly available CDC databases, 38 — nearly half — are no longer being updated on a regular basis. That statistic alone is alarming. What makes it epidemiologically significant, and frankly difficult to dismiss as coincidental, is the pattern embedded within it: of those 38 paused databases, 33 were focused on vaccination-related topics, compared with none of the 44 databases that remain current. Vaccination-related databases were paused; others largely were not. The near-perfect association between vaccines and data suspension is not something that emerges from random or topic-neutral decision-making.

Why Surveillance Gaps Are Not Just a Technical Problem

There are several plausible explanations for how this happened. Staffing cuts at the CDC have been severe enough to leave many routine functions understaffed or entirely unexecuted. It is possible that the staff who remain are occupied with other mandated priorities, including making databases compliant with new requirements related to gender classifications and diversity-related reporting changes. It is also possible that explicit or implicit guidance has directed attention away from vaccine-related data. Most likely, the answer is some combination of all of these factors. But the explanation matters less, in practical terms, than the effect: when public health agencies do not measure a disease, policy-makers and the public gradually begin to believe that the disease is not a problem worth worrying about.

Consider a simple but consequential example: if a legislator or health official looks at CDC data and sees that reported flu-related deaths in children appear to have declined, the reasonable inference — absent any context — is that influenza is becoming less severe, and that seasonal flu vaccination may be less necessary than previously thought. The reality may be that deaths have not declined at all; the data have simply stopped being collected and published. Policy then gets made on the basis of absence rather than evidence. Funding decisions follow. Immunization programs weaken. And when the inevitable outbreak arrives, the public health infrastructure needed to respond has already been quietly dismantled.

The Invisibility Problem in Public Health

One of the persistent structural vulnerabilities of public health as a field is that its most important activities are almost entirely invisible to the people it protects. When surveillance works well, nothing dramatic happens — no outbreak, no emergency, no headline. When it fails, the consequences take months or years to manifest, long after the decision to defund or deprioritize it has been forgotten. This invisibility makes surveillance uniquely susceptible to cuts, to distortion, and to the kind of ideologically motivated neglect that leaves few fingerprints and generates little immediate accountability.

That is why the researchers who conducted this analysis — essentially performing surveillance of CDC’s own surveillance databases — deserve recognition. They made visible something that was designed, by circumstance or intent, to remain hidden. In public health, diseases only count when they are actually counted. The moment we stop counting, we do not eliminate the disease; we simply lose our ability to see it coming.

The United States is already managing a rising measles outbreak, a virus that spreads with extraordinary efficiency and that public health had, through decades of diligent vaccination and surveillance, kept at the margins of American life. Losing visibility into vaccine-preventable infectious disease trends precisely when those trends are moving in the wrong direction is not merely a data management failure. It is a public health failure with real human consequences — consequences measured not in missing rows in a spreadsheet, but in preventable hospitalizations and deaths.

What Comes Next

Restoring these databases is necessary but not sufficient. What this episode reveals is that the infrastructure of public health surveillance needs legal and institutional protections that make it harder to suspend during periods of political pressure or administrative reorganization. Data collection and reporting should not be subject to the same discretionary authority that governs communications strategies or research priorities. Surveillance is a core governmental function, as essential to national security in the biological domain as intelligence gathering is in the geopolitical one.

Until that kind of protection exists, the work of independent researchers, journalists, and public health advocates in monitoring these systems will be indispensable. And the rest of us — clinicians, policy-makers, engaged citizens — have a responsibility to demand that the government we fund continues to count the diseases that threaten us. The moment we stop asking, the data will keep disappearing, and the diseases will keep spreading, counted by no one.