HUMAN MOBILITY IMPACT ON COVID-19 IN INDIA

Abstract

The movement of people determines how quickly and where infectious diseases spread, and social patterns of movement help assess the impact of social segregation policies and improve our understanding of social behavior in this context. This study examines the relationship between human activities and the growing incidence of COVID-19 in India. In contrast, visits to parks, workplaces, and transit stations had no significant effect on changing COVID-19 conditions over time. Workplaces with segregated social systems or open spaces with minority populations are less susceptible to the spread of the virus. These findings suggest that demographic data, location data, and health model data can inform strategic decision-making during a pandemic by providing actionable insights into when and where communities may be exposed to the disease. Mobility data was collected from Google via the WHO website and various websites. After downloading datasets from these sources, I created a Salesforce development org from my DTU email account and designed a dashboard to analyze trends in Salesforce Analytics. I chose this topic last semester and, following the advice of the DSM faculty, I am developing/extending the same topic for my 4th semester project using the complete COVID-19 dataset.