heiplanet-models-dataset / WNV-R0_model_card.yaml
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model_name: WNV-R0
model_version: "1.0"
model_type: Process-based epidemiological model
primary_task: Thermal suitability Estimation
domain: West Nile Virus (WNV) Transmission Potential
organization: HeiPlanet
date_created: "2026-01-12"
contact: julian.heidecke@iwr.uni-heidelberg.de
description: >
WNV-R0 estimates a relative version of the basic reproduction number (R₀)
for WNV transmission by Culex pipiens using ambient temperature data.
The model is intended for seasonal and regional temperature suitability
assessments rather than real-time forecasting of WNV outbreaks.
intended_use:
in_scope:
- Temperature-driven seasonal WNV risk assessment
- Regional comparison of thermal suitability
- Historical warming impact assessments on transmission potential
- Climate scenario analysis
- Public health preparedness planning
out_of_scope:
- Individual risk prediction
- Real-time outbreak forecasting
- Automated policy decisions
architecture:
type: Process-based epidemiological model
characteristics:
- Ross-Macdonald type relative reproduction number
- Derived from deterministic compartmental vector–host model
- Temperature-dependent mosquito-pathogen parameters for Culex pipiens
input_features:
temperature:
description: Monthly mean ambient temperature
units: °C
outputs:
r0_estimate:
description: Estimated relative reproduction number
units: Dimensionless
training_data:
sources:
- Laboratory experimental data on mosquito-pathogen traits
- Temperature response curves were fitted using Bayesian hierarchical models
validation:
testing_data:
description: Historical WNV outbreak records in Europe
metrics:
- Seasonal and geographical alignment between R0 and cases
- Rank correlation coefficients
- Overlap between lab-based and field-observed "optimal" temperature for transmission
assumptions:
- R₀ is a measure of long-term average transmission under constant temperatures
- Homogeneous spatial mixing
- No explicit modeling of interventions
- No intra-species mosquito variability in temperature sensitivity
limitations:
- Deterministic structure
- Neglects host community composition and immunity dynamics
- Only focused on temperature-driven effects on transmission potential via mosquito-pathogen traits
- Accurate risk predictions need to account for additional climatic factors
- Cannot predict number of cases
- Cannot account for potential adaptation of mosquito populations to increasing temperatures
- Relative R₀ cannot be interpreted as a threshold parameter like absolute R₀
bias_and_fairness:
- Based on laboratory data
- Only validated against WNV observations in Europe (and to some extent in the USA)
potential_harms:
- Misuse without expert review
- Misinterpretation of outputs
risk_mitigation:
- Expert review
- Communication of limitations and uncertainty
maintenance:
update_policy: Updates as new data become available
development_approach: Continued methodological updates and model extensions
datasets:
- Laboratory experimental data on mosquito-pathogen traits compiled through
systematic literature review
- Copernicus ERA5-Land Climate Data
- ECDC human West Nile Neuroinvasive disease cases data for validation
publications:
- Heidecke, J., Wallin, J., Fransson, P., Singh, P., Sjödin, H., Stiles, P. C., ... & Rocklöv, J. (2025). Uncovering temperature sensitivity of West Nile virus transmission: Novel computational approaches to mosquito-pathogen trait responses. PLOS Computational Biology, 21(3), e1012866.
- Heidecke, J., Fransson, P., Wallin, J., & Rocklöv, J. Thermal Biology-Informed Reproduction Number Explains Spatiotemporal Patterns of West Nile Incidence in Europe. Available at SSRN 5597581.