Herd Immunity Analyses of Bangladesh due to the SERS-CoV-2

Graphical representation:

SIRD Model Analyses and Forecasting

Description of the Python Files

sird_model.py: Unscented Kalman Filter for the SIRD

compute.py: Compute for the prediction with an estimated susceptible population

population.py: Estimate the susceptible population for Herd Immunity by projecting case distribution on the population distribution

rt.py: Compute the Rt and doubling time

final_plot.py: produces the required graph

test_vs_confirmed.py: produces the curve of test positivity rate

Name		Name	Last commit message	Last commit date
Latest commit History 68 Commits
data		data
to_upload		to_upload
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
bangladesh-rt.png		bangladesh-rt.png
compute.py		compute.py
district_population.csv		district_population.csv
district_web_chart_1.py		district_web_chart_1.py
district_web_chart_2.py		district_web_chart_2.py
final_plot.py		final_plot.py
google_mobility.py		google_mobility.py
helper.py		helper.py
owid-covid-data.csv		owid-covid-data.csv
owid_data.py		owid_data.py
population.py		population.py
risk_map.py		risk_map.py
risk_relation.py		risk_relation.py
rt.py		rt.py
run.sh		run.sh
sajib_vai_plot.py		sajib_vai_plot.py
sird_model.py		sird_model.py
test_vs_confirmed.py		test_vs_confirmed.py
web_chart_1.py		web_chart_1.py
web_chart_2.py		web_chart_2.py

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mjonyh/bd_herd_immunity

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Herd Immunity Analyses of Bangladesh due to the SERS-CoV-2

Graphical representation:

Description of the Python Files

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