Flush Report
Your sewage knows what's spreading before your doctor does. We read the poop data so you don't have to.
Channel: Flush Report Tagline: Your sewage knows what’s spreading before your doctor does. We read the poop data so you don’t have to. Niche: Consumer-facing multi-pathogen wastewater intelligence — combining CDC NWSS data for 6+ pathogens (COVID, Influenza A, RSV, Mpox, Measles, H5 Bird Flu), European drug consumption signals from SCORE/EUDA, and Google search trend correlations into a beautiful, opinionated, city-level “what’s going around” site with weekly narrative dispatches, threat level scorecards, pathogen heatmaps, and data-backed advice on when to mask up, stock up on tissues, or skip the indoor birthday party. Target audience: Health-conscious parents, school administrators, immunocompromised individuals, travel planners, public health enthusiasts, and the tens of millions of people who Google “what illness is going around right now” every flu season. Secondary: data visualization community (r/dataisbeautiful), preppers, local journalists looking for sourced data. Why now: Post-COVID, wastewater surveillance has expanded from a COVID-only novelty to a six-pathogen monitoring network covering 1,500+ US sites. CDC updates weekly. But the government dashboard is unreadable for normal humans. Biobot just partnered with the White House for opioid tracking (March 2026). The COVID Data Dispatch shut down in 2023 and left a void. Search volume for “what’s going around” spikes every fall/winter with zero authoritative data-driven results. This is a massive content gap backed by free, reliable, weekly government data.
Content Example
This Week’s Flush: RSV Is Surging in the Southeast — And Your Toddler Already Knows It
Flush Report — Week of March 30, 2026
If your kid came home from daycare last week coughing like a seal with a two-pack-a-day habit, you already know what we’re about to tell you: RSV is ripping through the Southeast.
CDC’s wastewater monitoring network — yes, the one that literally reads your city’s collective poop — detected a 47% week-over-week increase in RSV viral concentrations across Georgia, Alabama, and the Carolinas. Atlanta’s R.M. Clayton Water Reclamation Center, which processes sewage for 1.8 million people, hit its highest RSV reading since December 2024.
Here’s what’s important: wastewater catches RSV surges 7-14 days before hospital admissions spike. So if you’re in the Southeast and you have kids under 2, elderly parents, or a compromised immune system, this is your two-week head start. Use it.
The National Pathogen Board — April 6, 2026
| Pathogen | National Trend | Hotspots | Threat Level |
|---|---|---|---|
| 🦠 COVID-19 | ↘ Declining (-12% WoW) | None significant | 🟢 LOW |
| 🤧 Influenza A | → Plateauing | Upper Midwest, Northeast | 🟡 MODERATE |
| 👶 RSV | ↗ Surging (+31% WoW) | Southeast, South Central | 🔴 HIGH |
| 🐒 Mpox | → Stable low | Sporadic metro detections | 🟢 LOW |
| 📐 Measles | → Minimal detections | Watch: undervax clusters | 🟢 LOW |
| 🐔 H5 Bird Flu | → Below detection | N/A | ⚪ NONE |
The bigger picture: We’re in the tail end of respiratory season, and it shows. COVID and flu are winding down on schedule. But RSV is pulling a classic late-season ambush — this is the third year in a row it’s surged after flu peaks decline, like a predator moving into evacuated territory. Epidemiologists call this “viral interference” ending — when one dominant virus recedes, the others rush in. Your sewage tells the story two weeks before the hospital ER does.
What should you actually do? If you’re in a red zone: avoid indoor crowded spaces with infants, push back that grandparent visit by two weeks if grandma has COPD, and for the love of god, stop sending your kid to daycare with “just a little cough.” We say this every week. We’ll keep saying it.
Data: CDC NWSS via data.cdc.gov SODA API, updated April 4, 2026. Wastewater viral activity levels calculated using CDC’s normalized concentration methodology. Trend arrows represent 7-day rolling change. Threat levels are Flush Report’s editorial assessment combining wastewater signal strength, trajectory, and clinical severity data.
Data Sources
- CDC NWSS SODA API — 6 pathogen datasets via data.cdc.gov, JSON/CSV, updated weekly Fridays, no API key required for basic access (app token for higher rate limits)
- COVID-19:
data.cdc.gov/resource/j9g8-acpt.json - Influenza A:
data.cdc.gov/resource/ymmh-divb.json - RSV:
data.cdc.gov/resource/45cq-cw4i.json - Mpox, Measles, H5: additional NWSS datasets on data.cdc.gov
- COVID-19:
- WastewaterSCAN Dashboard — data.wastewaterscan.org — 180+ treatment plants, supplementary pathogen data, scrape weekly
- CDC FluView ILINet — clinical flu surveillance data for correlation/validation
- CDC RESP-NET — hospitalization data for flu/COVID/RSV to show wastewater-leads-hospitals signal
- EUDA/SCORE Wastewater Drug Data — European multi-city drug consumption via wastewater (annual reports, 100+ cities)
- Google Trends API — search volume for illness-related queries as engagement/correlation layer
- OpenAlex / PubMed API — recent wastewater epidemiology research papers for “science corner” segments
Automation Pipeline
- Schedule: GitHub Actions cron — main build every Saturday (after Friday CDC data update). Bonus: Monday “week ahead” preview using latest data + forecast.
- Collect:
- Fetch all 6 CDC NWSS pathogen datasets via SODA API (JSON, paginated)
- Parse and normalize: extract site-level concentrations, calculate state/regional/national aggregates
- Compute week-over-week trends, 4-week moving averages, seasonal baselines
- Fetch WastewaterSCAN supplementary data
- Fetch Google Trends data for correlation charts
- Cache historical data in repo (incremental append, ~5MB/year)
- Process:
- AI analysis: identify biggest movers (which pathogens surging/declining, where)
- Generate “Pathogen Board” composite threat assessment per region
- Write narrative weekly dispatch (1,500-2,000 words) with editorial voice
- Generate city-level “what’s spreading” summaries for top 50 metro areas
- Produce monthly deep-dive topic (viral interference, drug trends, seasonal patterns)
- Fact-check against clinical data (FluView, RESP-NET hospitalization numbers)
- Generate:
- National pathogen heatmap (choropleth map, state-level, color-coded by activity level) — SVG via D3
- Multi-pathogen trend chart (6 pathogens, 12-week rolling) — Recharts
- City-level sparklines for top metros
- “Pathogen Board” visual scorecard (the table from sample article, rendered as shareable image)
- Wastewater-leads-hospitals correlation chart (proving the 7-14 day early warning)
- Optional: European drug consumption city comparison charts (annual)
- Publish: Build TypeScript/Astro static site → deploy to Cloudflare Pages (fast, free tier generous)
Tech Stack
- Static site: TypeScript + Astro (fast builds, excellent static output, MDX for content)
- Data viz: D3.js for maps, Recharts for charts, Sharp for server-side image generation of shareable cards
- Data collection: Node.js scripts using Socrata SODA client (
soda-jsor plain fetch) - AI content: OpenAI API (GPT-4o for narrative generation with structured data context)
- Image generation: Programmatic SVG → PNG for maps and charts (no AI image gen needed — data viz IS the visual)
- CI/CD: GitHub Actions (Saturday build cron + manual trigger)
- Hosting: Cloudflare Pages (free tier: unlimited bandwidth, 500 builds/month)
- Data cache: Git LFS or flat JSON files in repo for historical data
Monetization Model
- Primary: Newsletter premium tier — Free weekly email gets the national summary. Paid ($5/month) gets city-level reports, pathogen alerts for your metro area, and the “Drug Signal” European wastewater drug analysis section
- Donations/Tips: Ko-fi, Buy Me a Coffee, GitHub Sponsors — “Buy Flush Report a coffee (or a bidet)”
- Affiliate: Air purifiers, HEPA filters, pulse oximeters, COVID/flu test kits — directly relevant when pathogen levels surge. Contextual, not spammy: “RSV is surging in your area → here’s the air purifier we’d buy” with Amazon affiliate links
- Telegram channel with Stars: Paid premium alerts when threat levels change
- Sponsorship potential: Home health companies (Clorox, Dyson, 3M), health insurance providers, telemedicine platforms (urgent care ads during surge weeks). Revenue starts month 3-4 when content ranks.
- Projected month-1 revenue: $50-150 (early donors, initial newsletter signups)
- Projected month-6 revenue: $800-2,000/month (SEO traction for “what’s going around [city]” queries captures massive seasonal traffic; newsletter at 2,000-5,000 subs with 3-5% paid conversion; affiliate clicks during surge weeks)
Channel Soul & Personality
Name: Flush Report — because that’s exactly where the data comes from, and because “flushing out” the truth. Crude enough to be memorable, accurate enough to be credible.
Mascot: A cartoon toilet with a magnifying glass and a lab coat. Named “Dr. Flush.” Appears in weekly header illustrations — different expression each week depending on threat levels (calm with coffee when things are quiet, alarm bells when surging, wearing a tiny face mask during flu season).
Voice: The sarcastic epidemiologist friend you wish you had. Equal parts “concerned public health professional” and “that friend who texts you ‘dude, don’t go to that party, norovirus is everywhere right now.’” Uses data precisely but communicates like a human. Swears occasionally. Loves a good poop joke but never at the expense of accuracy. Takes the science seriously, takes itself not seriously at all.
Opinion stance: Flush Report BELIEVES IN wastewater surveillance as the future of public health. It thinks the CDC dashboard is criminally under-designed. It’s frustrated that Biobot keeps the best data behind paywalls. It champions open data. It thinks everyone should check their city’s poop numbers the way they check the weather. Hot takes: “Your kid’s school would be less of a petri dish if they checked wastewater data instead of sending home vague ‘illness going around’ emails.”
Running jokes & traditions:
- “The Flush” — weekly dispatch, always opens with the most dramatic finding
- “Poop of the Week” — the single data point that tells the biggest story
- “Dr. Flush’s Prescription” — the practical what-to-do-about-it section
- “The Sewage vs. The ER” — recurring segment showing how wastewater predicted hospitalizations weeks early
- “Shameless Plug” — when affiliate links are included, they’re in a clearly marked, self-deprecating section
- “Clean Bowl Award” — given to the city with the lowest pathogen activity that week
Visual style: Clinical-meets-punk. White backgrounds with neon accent colors per pathogen (COVID=teal, Flu=amber, RSV=magenta, Mpox=purple). Flat illustration style. Maps are the hero visual. Color-blind accessible. Mobile-first cards with swipeable pathogen summaries.
Scores
Launch Complexity: 3/5 — Data sources are free and well-documented (SODA API is straightforward). The challenge is building the data processing pipeline for 6 pathogen datasets and generating good maps/charts programmatically. 2-3 weeks for a developer to have v1 running.
Content Quality Score: 5/5 — The data is authoritative (literally from the CDC), the narrative layer adds genuine value (nobody else is translating this into human language with personality), and the “wastewater predicts hospitals” angle is genuinely useful and slightly mind-blowing to people who haven’t encountered it. Sample article above proves the quality level.
Automation Score: 5/5 — CDC updates every Friday like clockwork. SODA API is designed for automated consumption. The entire pipeline (fetch → process → generate → build → deploy) can run unattended. Only the AI narrative writing needs an API call, which is the most reliable part of the stack.
Revenue Potential: 4/5 — Massive seasonal search traffic (“what’s going around” is Googled millions of times per year), direct affiliate relevance (people searching for illness info BUY health products), newsletter monetization proven in health niche. Ceiling is lower than B2B data products (Biobot charges enterprises $$) but consumer ad/affiliate/premium model is strong. The drug wastewater angle adds a second traffic stream (less seasonal).
Total: 17/20
Why This Will Work
Psychology: People are anxious about getting sick. Every parent Googles “what’s going around at school” weekly during respiratory season. This is a PERPETUAL need, not a trend. Post-COVID, awareness of wastewater surveillance exists but access to readable data doesn’t. Flush Report gives people a sense of control — knowing what’s spreading before it hits your household feels like a superpower. The 7-14 day early warning angle is the hook that makes people tell friends.
Market logic: The data is free, reliable, and updated weekly by the US government — you can’t ask for a better content pipeline. CDC has invested hundreds of millions building NWSS but has zero consumer-facing communication strategy. That gap is the entire business. Competition is either government (ugly, unreadable), academic (WastewaterSCAN — no personality), or paywalled (Biobot — B2B only). Nobody occupies the consumer layer with editorial voice. SEO opportunity is massive: “what’s going around in [city]” x 400 metros = thousands of long-tail keywords with near-zero competition and extreme seasonal search volume.
Scaling path: Once the 6-pathogen US model works, expand to European wastewater data (EUDA covers 100+ cities for drugs, some countries publish pathogen data). The template is infinitely replicable: each country that does wastewater surveillance becomes a new content source. The newsletter can segment by city. City-specific pages become local SEO magnets.
Risk & Mitigation
| Risk | Likelihood | Mitigation |
|---|---|---|
| CDC changes API/data format | Low-Medium | SODA API is stable infrastructure. Monitor for changes in GitHub Actions, alert on fetch failures. Keep data schema flexible. |
| CDC defunds NWSS program | Low (but non-zero in current political climate) | Diversify to WastewaterSCAN, state-level programs, and international data. This risk is actually CONTENT — “government shutting down disease surveillance” is a huge story. |
| Biobot or WastewaterSCAN launches a consumer product | Medium | Move fast, build audience, own the SEO. First-mover advantage in consumer narrative layer. Our edge is VOICE, not data — they’d have to build editorial personality from scratch. |
| Seasonal traffic volatility | High | The drug wastewater angle is year-round. Build evergreen content (city profiles, methodology explainers, historical analysis) for off-season SEO. Newsletter retains audience through summer. |
| AI-generated content quality inconsistency | Medium | Strict editorial templates, fact-checking against raw data, human review of first 10 issues to calibrate prompt engineering. The data constrains the AI — you can’t hallucinate when every number comes from a CDC API. |
| Accuracy concerns / liability | Low-Medium | Clear disclaimers: “Not medical advice. Data sourced from CDC NWSS.” Link to CDC methodology. Never diagnose, only inform. Position as journalism, not healthcare. |