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Shifting Isotherms: Engineering an Interactive Climate-Driven Epidemiology Simulator

How shrinking viral incubation cycles and collapsing altitude shields are rewriting public health models and how to build a grounded LLM engine to simulate it.

We frequently discuss climate change through macroeconomic frameworks: rising sea levels, agricultural disruptions, or extreme grid volatility. But from a data science perspective, some of the most alarming climate shifts are happening at a microscopic velocity.

When ambient surface temperatures cross specific thermodynamic thresholds, they don’t just change the weather; they change the biological processing speed of vector-borne pathogens.

I have completed the development of a single-screen, privacy-first Dengue Climate Spread Simulator application. The project couples a non-linear thermodynamic epidemiological engine with a grounded, state-aware AI Epidemiological Consultant.

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