Pandemic Biosurveillance
@apifyforge
About Pandemic Biosurveillance
Pandemic biosurveillance intelligence for AI agents — 8 mathematically rigorous epidemic modeling tools backed by live data from 16 public health, ecological, and environmental sources.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"pandemic-biosurveillance-mcp": {
"url": "https://ryanclinton--pandemic-biosurveillance-mcp.apify.actor/mcp"
}
}
}Tools
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Overview
What is Pandemic Biosurveillance?
Pandemic Biosurveillance is an MCP server providing eight epidemic modeling tools backed by live data from 16 public health, ecological, and environmental sources. It runs on the Apify platform and is designed for AI agents to perform outbreak simulation, parameter inference, variant forecasting, and spillover risk mapping with structured, machine-readable results.
How to use Pandemic Biosurveillance?
Add the server URL to any MCP-compatible client (e.g., Claude Desktop, Cursor, Windsurf) using the configuration shown in the Quick Start. Each tool accepts a single natural-language query and returns results in 2–4 minutes. No API key is required; billing is handled through your Apify account.
Key features of Pandemic Biosurveillance
- Eight mathematically rigorous epidemic modeling tools (Gillespie SSA, particle MCMC, phylodynamics, etc.)
- Parallel data retrieval from 16 live public health, ecological, and environmental sources
- Pay-per-tool-call pricing (USD 0.030–0.040 per call, no subscription)
- Standby mode eliminates cold-start latency between calls
- Structured JSON output with uncertainty quantification and convergence diagnostics
- Multi-domain epidemic network graph with typed nodes and edges
Use cases of Pandemic Biosurveillance
- Pandemic preparedness scenario planning for government health agencies and biosecurity think tanks
- Outbreak response and resource allocation with real-time Re estimation and intervention causality
- Vaccination strategy design using mean-field game equilibrium and seasonal waning dynamics
- Variant surveillance and genomic monitoring via fitness forecasting and selection coefficient inference
- Zoonotic spillover risk mapping for One Health programs and ecology institutes
FAQ from Pandemic Biosurveillance
What data sources does Pandemic Biosurveillance use?
It retrieves data in parallel from 16 sources, including WHO Global Health Observatory, PubMed, IUCN Red List, GBIF, GDACS, NOAA, OpenAQ, FEMA, and more.
How is Pandemic Biosurveillance billed?
Billing is pay-per-tool-call: USD 0.030 to 0.040 per call depending on the algorithm selected, with no subscription or minimum commitment.
Do I need an API key to use Pandemic Biosurveillance?
No, the server URL does not require an API key; all billing is handled through your Apify account.
What tools are available in Pandemic Biosurveillance?
The server offers eight tools: simulate_epidemic_metapopulation, infer_parameters_pmcmc, estimate_phylodynamic_re, evaluate_intervention_causality, compute_vaccination_equilibrium, forecast_variant_fitness, assess_zoonotic_spillover, and model_seasonal_waning_dynamics.
How long does a tool call take?
Each tool call fetches data from all 16 sources in parallel, runs the mathematical model, and returns results in 2–4 minutes.
Frequently asked questions
What data sources does Pandemic Biosurveillance use?
It retrieves data in parallel from 16 sources, including WHO Global Health Observatory, PubMed, IUCN Red List, GBIF, GDACS, NOAA, OpenAQ, FEMA, and more.
How is Pandemic Biosurveillance billed?
Billing is pay-per-tool-call: USD 0.030 to 0.040 per call depending on the algorithm selected, with no subscription or minimum commitment.
Do I need an API key to use Pandemic Biosurveillance?
No, the server URL does not require an API key; all billing is handled through your Apify account.
What tools are available in Pandemic Biosurveillance?
The server offers eight tools: simulate_epidemic_metapopulation, infer_parameters_pmcmc, estimate_phylodynamic_re, evaluate_intervention_causality, compute_vaccination_equilibrium, forecast_variant_fitness, assess_zoonotic_spillover, and model_seasonal_waning_dynamics.
How long does a tool call take?
Each tool call fetches data from all 16 sources in parallel, runs the mathematical model, and returns results in 2–4 minutes.
Basic information
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