Visualizing COVID-19-related Data

Through this infoVis project, my colleague, Hannah Tanna and myself (Eiman Elnoshokaty) have developed multiple visualization options of both socio-economic and health-related data from multiple sources in an attempt to explore possible relationships between the levels of fatalities attributed to the Covid-19 pandemic in a selection of world countries and the health sector infrastructure during the 10 years preceding the pandemic outbreak.

We want to explore whether the readiness of health services in countries’ socio-economic circumstances (represented through GDP) has any influence on their ability to manage the health crisis during the current Covid-19 pandemic outbreak. Despite the general understanding and belief that the current Covid-19 outbreak is considerably perplexing to countries regardless of their actual healthcare system and infrastructure (Le Page, 2020), we think that the understanding of the nuances differentiating countries in terms of preparedness prior to the outbreak and making a connection with their manifested performance in handling the growing numbers of infected cases as Covid-19 attacked, helps inform the general public, media and news agencies, and policy makers of the consequences of governmental policies and practices, raises questions of accountability, mobilizes public debate, and eventually dictates future policy changes to learn from best practices and develop into a more prepared state to face similar challenges in the future. 

 

Our project steps including: the datasets used, the design process and tools used to clean data and create the different visualizations, together with the story we attempt to relate with the help of the information visualizations has been published (together with projects of other classmates) in the course blog.

We have also published our story which included all information visualizations here.

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