Dikeh1/Nigeria-COVID-19-Data-Analysis-Using-Python

# Nigeria COVID-19 Data Analysis using Python ## Overview An infectious condition known as coronavirus disease (COVID-19) is brought on by a recently identified coronavirus. A person infected with the COVID-19 virus may develop mild to moderate respiratory infection and recover without the need for special care, while symptoms can occasionally be severe. Nigeria, a West-African country, has also been affected by the COVID-19 pandemic after recording its first case on 27th February 2020. Nigeria is a country with 37 states - Federal Capital Territory included- and a fast-growing economic environment with about 200 million citizens. COVID-19 has affected several country activities as the country steadily progressed from its first case to shutting down major airports, state-wide lockdown, curfews, and reviving its economy. ### **Data Collection** The data source is divided into different parts, and these data will be combined to perform analysis and provide insights. Some of the data set was got from the Github link. #### **1. The Nigeria Centre for Diseases Control (NCDC)**: The institution monitors the country’s COVID-19 situation, and releases data on metrics across all the 37 states in the country. From NCDC COVID-19 official website, performing a web extraction or web scraping, covid data was extracted. #### **2. The Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)**: The institute publishes daily data on confirmed, death and recovered cases across different countries. the daily data for Nigeria was extracted from their repositor. #### **3. Nigeria Community Vulnerability Index data** The vulnerability index was computed by considering several factors such as socio-economic status, population density, housing type, transportation, epidemiological, health system etc, these factors are known as themes. Each theme was broken into subthemes, and data was gathered from them to compute the overall vulnerability index score by weighing e …