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Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.

Home Page: https://p-j-r.github.io/covid-19/

License: Apache License 2.0

Python 1.30% Jupyter Notebook 98.70%
coronavirus coronavirus-analysis covid-19 covid-19-india disease-spread epidemic-simulations epidemiology epidemiology-analysis lattice physics physics-simulation random-walk sars-cov-2 sir-model stochastic-models

covid-19's People

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soumiksamanta007 ayush-ar wilsongis lucascbarbosa ligege12 wstoloah sunsummoner alysiaxu

covid-19's Issues

Divide changes data array

In line 86 of the stochastic file,
data[i]/=n
changes the shape of data. Changing it to
data[i]=data[i]/n
fixes this.

Share load age structure data?

I am looking at your model. I would like to see if I can reproduce. Can you share your "load age structure data"?

Thanks,
Mike

ValueError: empty range for randrange()

In function first_case()
corona_walk

cx,cy= nodes[randrange(len(nodes))] 
temp=Lat.nodes[(cx,cy)]['walkers']

This may potentially return an empty attribute as no walker may be at that node!

first_case=temp[randrange(len(temp))]   
infect[first_case]=1
Lat.nodes[(cx,cy)]['infected']+=1
global sick
sick=1

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