Pandemics originated by Covid-19 has caused many reactions in the world. Each country has reacted with different health policies. In this work, we analyze the publications of African citizens on Social networks (Twitter) to understand the pandemic scenario during the study period using a text mining approach. The study also adopted a statistical model to quantify the impact of daily COVID-19 cases on the frequency of tweets. Findings show that African tweets are related to awareness creation and policies to control the spread of COVID-19.