📖 Chinese libraries have book sterilization machines. UV-C light kills bacteria and flips pages automatically. Hygiene you can see builds trust. Sources: China Daily, SCMP #omgfacts# #Libraries# #PublicHealth#

❓ Does the flu shot really protect the elderly? Research shows it hasn’t reduced hospitalizations—raising real questions about effectiveness for our most vulnerable. See the data for yourself: #publichealth#

When people think about energy and health, they don't always consider the impact of air pollution. By reducing reliance on more polluting energy sources, nuclear has helped prevent around two million deaths linked to air pollution, with the potential to avert an additional seven million by 2050. Electricity from low-carbon nuclear power doesn't just support climate goals – it can also contribute to cleaner air and healthier communities. #nuclear# #energy# #PublicHealth# #ClimateGoals# #sustainability#

What if you could build an epidemic outbreak prediction model in minutes rather than weeks? Title: Planetary prediction engine: Automating global models via Earth AI URL: Google's Planetary Prediction Engine (PPE) automatically builds geospatial prediction models from natural language queries. For problems like public health, food security, and infectious disease outbreaks, it compresses weeks of manual data curation and feature engineering into minutes — no specialized engineering team required. Key Points 🌍 A three-stage automated pipeline — from query to model Stage 1 translates natural language into geographic constraints and retrieves covariates from Data Commons and Google Earth Engine. Stage 2 fuses structured covariates with embeddings from Population Dynamics Foundation Models and AlphaEarth. Stage 3 searches across regularized linear models, gradient-boosted trees, and MLPs. Each stage embeds a "Feature Gate" (leakage prevention) and an "Overfitting Guard Protocol" (self-correcting risk assessment). 🔬 Multimodal fusion outperforms either modality alone — across every experiment Combining structured statistical covariates with latent foundation model embeddings captures information neither source provides individually. This synergy was confirmed across all experiments, establishing a new architectural pattern for geospatial prediction. 📊 Validated across three high-stakes domains ・US CDC health indicators (21 types): R² 76.8% vs 60.0% baseline ・Nigeria food security downscaling: R² 66.1% vs 31.5% baseline (2× improvement) ・DRC Ebola outbreak prediction: Recall@10 83.3% (+10.3 percentage points vs Bayesian baseline) The real impact is democratization: humanitarian organizations and researchers without dedicated engineering teams can now get evidence-based predictions within minutes when it matters most. #EarthAI# #PublicHealth#

False narratives are reshaping public health and elections – most people don't realize it's happening. Reuters Misinformation Monitor breaks down viral claims before it affects your industry. Weekly intelligence from fact-checkers the world trusts 👇

Fox News: Public health officials are investigating a surge in cases of a severe intestinal disease. It's caused by a microscopic parasite called Cyclospora. Last year, the CDC made Cyclospora data reporting optional to allow food safety staff to prioritize so-called "core activities." The CDC has now confirmed infections in 31 states.

Trust in public health did not collapse for no reason. It collapsed because officials like Dr. Fauci were making decisions about your life while hiding financial ties to the companies that profited from those decisions. My Royalty Transparency Act is simple: if you work for the federal government and are collecting royalties from Big Pharma, the public deserves to know. Conflicts of interest don’t disappear because you refuse to report them.

Air pollution is a public health crisis—but it's one we know how to solve. London has made real progress by following the data & taking action. Through @Breathe_Cities, we're helping more cities put those solutions into action. Mayor @SadiqKhan & I explain how: