Home

Welcome to the LASER wiki!

See here for latest status.

Superficial simplicity isn’t the goal of design. Some things are, by nature, complex. In such cases, you should aim for clarity rather than “simplicity.” Users will be better served if you strive to make complex systems more understandable and learnable than simply simple.

Here's a proposed Table of Contents for your GitHub Wiki, organized by themes and topics based on the titles of the pages:

---

Introduction and General Information

• Status
• LASER Terminology
• LASER Decision Dependencies

---

Landscape Exploration

• Open Source ABM Packages

---

Core Model Features and Concepts

• Fundamental LASER Model Entities
• Required Model Features
• Open Design Questions

---

Architecture

• LASER pip Package Structure

---

Disease-Specific Topics

Cholera

• Cholera
• Cholera Transmission Behavior
• Cholera Immunity Behavior
• Cholera WASH Intervention

Measles

• Northern Nigeria Measles Model

---

Performance

• Notes on Performance
• Performance Benchmarks
• LASER vs EMOD

---

Implementation Notes

• EULA
• Using idmlaser as a pip-installable Module
• Sharding Step Functions
• Python Accelerations
• Modeling (Non‐Disease) Mortality
• Thoughts & Lessons on SQL Modeling
• Fast Linelist Reporting
• Caching Agent Populations (Cholera)

---

Experiments

• Towards a LASER Co‐Pilot
• To Node or Not to Node
• To Swap or Not to Swap
• Calibration: Early Experiments
• Fast Reporting Experiments
• RIA via Index Management
• Caching Input Population Dataframes (Measles)
• Managing Infected as a Few Queues Instead of Many Vectors

---

Testing

• E&W: Scientific Benchmark List
• Endemicity and Periodicity
• CCS Testing
• Proposed Validation Tests

---

Deep Thoughts

• Data Input Files
• Some (Engineering‐Oriented) Thoughts on Testing
• Consciously Choosing OOP‐ness
• LASER Modeling in R
• LASER Modeling in R (Part 2)
• Some Thoughts on Aging

---

Visualization and Animations

• Geospatial Animations and Visualization
• Visualization As Validation