Editorial project overview

Climate-Driven Dengue on a Spatial Grid

How do climate forcing and allocation assumptions change simulated dengue incidence?

Reproducible studyUpdated 30 Jan 2026
Technical figure from Climate-Driven Dengue on a Spatial Grid
A reviewed research figure synchronized from ScienceProject. The original aspect ratio and labels are preserved. Source and generation notes.

Overview

The model couples host and vector dynamics to diffusion, long-range movement, and temperature-dependent mosquito ecology. Its value is as a controlled computational laboratory: assumptions can be changed and numerical behavior checked without presenting the result as a city forecast.

Validation

The project includes a numerical verification entry point and automated tests. Those checks address implementation and numerical consistency; they do not substitute for epidemiological calibration or external predictive validation.

Reproduction

The documented experiment matrix is generated with python run_experiment_matrix.py --tfinal 365 --grid 30 --dt 0.2 --save 30 --forcing default inside the project environment.

Key findings

  • Spatial forcing can produce heterogeneous simulated incidence fields.
  • Allocation strategies can be compared under shared synthetic assumptions.

Limitations

  • The published experiment matrix is synthetic.
  • Outputs are scenario comparisons, not forecasts for a specific city.
  • Biological parameters require empirical calibration before applied use.

Technical record

Detailed source, calculations, generated figures, and reproduction instructions remain in ScienceProject. Open the technical project.

Version history

2026-01-30 — Curated overview reviewed against repository evidence.