Public health analysis lives on surveillance data, public opinion and the evidence for interventions, and it must never be mistaken for advice to a patient. WorldbyFlow reads a condition, a number or a poll that way, grounded against public health data, and holds a hard line against clinical guidance.
Written for Works at a public health agency, NGO, or academic centre.·Runs in the Health domain
Working at an agency, an NGO or an academic center means explaining conditions and numbers to people who will act on them at population scale. The scans here are for that: a condition read from the record, the figures with their issuers, public confidence with the pollster and method named, a graded explanation when a rate moved, a map of who is responding to an outbreak, and an evidence review on a population intervention.
A condition read from the record: burden, surveillance, documented trends, what is contested, grounded against public health data. Population-level, never a patient answer.
The figures on a public health topic with each one's issuer and interpretation. Overdose deaths and vaccination rates, labeled by source.
Public confidence measured honestly: pollster, dates, sample, method, sponsor, spread. Vaccine confidence as it was actually surveyed.
A rate moved, life expectancy or measles cases. Candidate explanations graded against the record.
Who is responding to an outbreak or a heat wave and how, mapped as it unfolds. The read for the first days.
The evidence on a population intervention, fluoridation or a sugar tax, read as evidence: what has been shown, what is contested. Never clinical guidance.
The order matters. The first read gives you the structure; the next ones fill the parts that are hardest to source by hand.
Check the burden and surveillance figures against your own sources. If the read separates documented trends from contested ones, it can start the next brief.
The candidate explanations graded. The briefing answer with a basis.
Pollster, method, sponsor, spread. The communications team's honest starting point.
A surveillance update or a policy change becomes a watched signal.
Every figure and quote links to where it came from. A claim the scan could not source is marked as such rather than dressed up.
Export the reads as PDFs for the situation report, or share them as pages partner agencies can open with sources.
Ask a follow-up question of any result, or run a Red Team pass that tries to break its own conclusions before someone else does. How the grades work →
Rural America lost a net 234 hospitals (114 opened vs. 348 closed) between 2001-2023, even as urban areas posted a net gain of 11 (396 opened vs. 385 closed) — Health Care Affordability Lab at Yale.
The fastest way to judge the result is to pick a subject you know cold and read it against what you know. If a colleague sent you here with an invitation, the credits land on your account when you sign up.