🧬 Andes Virus Explorer

Based on parameters from Martínez et al., NEJM 2020 · Updated to MV Hondius context, May 2026
📘 Educational tool, not for prediction — explore how R₀, isolation timing, and population size affect outbreak dynamics

Basic reproduction number R₀ ?Average number of secondary infections from one infected individual in a fully susceptible population. NEJM paper: 2.12 pre-isolation2.12
NEJM paper: pre-isolation = 2.12 | post-isolation = 0.96
Population at risk ?Total number of susceptible individuals. 147 = MV Hondius (passengers + crew)147
147 = MV Hondius passengers + crew
Incubation period (days) ?Average time between infection and symptom onset. NEJM paper: mean 23 days (range 9–40)23
NEJM paper: mean 23 days (range 9–40)
Infectious period (days) ?Average duration a person can transmit the virus7
Based on serial interval ~23 days
Initial cases I₀ ?Number of infected individuals at the start of simulation (day 0)6
MV Hondius: ~6 confirmed + suspected (May 9)
Control measures start day ?Day when isolation measures take effect (R₀ drops to 0.96)5
0 = immediate | 60 = no effective control
Total cases (estimated) ℹ️
Peak active infections ℹ️
Peak day ℹ️
Estimated deaths (32% CFR) ℹ️
Susceptible Exposed (incubation) Infectious (symptomatic) Recovered / Removed Estimated deaths
SEIR simulation of Andes virus.
R₀ dynamics over time
Effective R₀ (pre-control) Effective R₀ (post-control) Epidemic threshold (R = 1)
R₀ dynamics over time.

Above R = 1 the epidemic grows; below R = 1 it declines. The discrete change models the moment isolation measures take effect.

Model limitations
Structural (deterministic SEIR)
Parameter uncertainties
Completely missing
MV Hondius situation (May 9, 2026)
Purpose of this tool

This simulator is an educational and exploratory tool, not a predictive model. It helps qualitatively understand how epidemic trajectories change with key parameters — particularly the effect of control measures (Control day slider) and population size. It allows comparison of extreme scenarios (no control vs. immediate isolation) and visualizes the logic of the reproduction number R: when R drops below 1, the epidemic extinguishes regardless of existing cases. Do not use this to make quantitative predictions about the MV Hondius outbreak or for public health decisions. Those require stochastic models calibrated on local real-time data, with explicit contact structure and Bayesian parameter estimation.

Sources: Martínez et al., NEJM 2020 (doi:10.1056/NEJMoa2009040) · WHO Disease Outbreak News DON599, May 4, 2026 · CDC Hantavirus Situation Summary, May 9, 2026 · Wikipedia MV Hondius hantavirus outbreak (updated May 9, 2026).