muluwork-shegaw/Week-3-Covid19-in-Ethiopia-analysis-using-Bayesian-Inference

# 10 Academy July 2020 Training - Weekly Challenge: Week 3 Change-Point-Analysis-of-Covid19-Bayesian-Inference-SIR-Modelling Using Ethiopia as a case study: ## Change point analysis to quantify the impact of African government policy interventions to slow the spread of COVID-19 ### Business objective The main objective of this challenge is to quantify the statistical significance of a public health policy introduced by Ethiopia governments to slow down the spread of COVID-19 and quantify the impact of the political instablity in the spread of COVID-19. ### Data The data that we have used comes from Ethiopian minster of health minster official facebook page. ### LINKS: Bayesian inference and forecast of COVID-19, code repository github.com Key Papers and References: drive.google.com SIR Model: maa.org Bayesian Inference: seeing-theory.brown.edu Data Retreival: covid19.et Covid-19 Responses: trackethiogov.com)