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3blue1brown like infection simulation in Julia.
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using Distributions, Plots, Random | |
using StatsBase, StatsPlots | |
using Distances | |
function init(size::Int, I₀=0.1) | |
S₀ = 1 - I₀ | |
x = rand(Uniform(0, 10), size, 2) | |
v = zeros(size, 2) | |
status = sample([:S, :I, :R], Weights([S₀, I₀, 0]), size) | |
x, v, status | |
end | |
function step!(x, v, status, infect_r::Float64=0.2, infect_p::Float64=0.1) | |
distances = pairwise(Euclidean(), x, x, dims=1) | |
for i = 1:size(x)[1] | |
# infect | |
if status[i] == :I | |
for j in findall(status .== :S) | |
if (distances[i, j] <= infect_r) & (rand() < infect_p) | |
status[j] = :I | |
end | |
end | |
end | |
x[i,:] += v[i,:] | |
v[i,:] += rand(Normal(0, 0.001), 2) | |
for j=1:2 | |
if x[i,j] >= 10 | |
x[i,j] = 10 | |
v[i,j] = -v[i,j] | |
end | |
if x[i,j] <= 0 | |
x[i,j] = 0 | |
v[i,j] = -v[i,j] | |
end | |
end | |
end | |
end | |
function sim!(x, v, status, steps::Int=100) | |
population_size= length(status) | |
statistics = zeros(steps, 3) | |
@gif for i = 1:steps | |
statistics[i,:] = [sum(status .== :S), sum(status.== :R), sum(status .== :I)] | |
step!(x, v, status, 0.2, 0.2) | |
l = @layout[a; b] | |
p1 = scatter(x[:,1],x[:,2], lims=(-1, 10), markercolor=map(colorme, status), | |
markershape=:circle, alpha=0.7, grid=false, legend=false) | |
p2 = groupedbar(statistics[1:3:end,:], | |
bar_position = :stack, bar_width=0.8, | |
c=[colorant"#74EFE1" colorant"#2F2F2F" colorant"#F5644F"]) | |
p = plot(p1, p2, layout=l) | |
p | |
end | |
end | |
function colorme(a) | |
if a == :S | |
return colorant"#74C0E1" | |
elseif a == :I | |
return colorant"#F5644F" | |
else # == :R | |
return colorant"#2F2F2F" | |
end | |
end | |
theme(:juno) | |
gr(size=(1000,1500),legend=false,markerstrokewidth=0,markersize=5) | |
x, v, status = init(100, 0.2) | |
sim!(x, v, status, 500) |
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