The current global pandemic experience has had significant influences on the health and economy of the entire world. Researchers around the world sought to understand the current situation and provide strategic solutions to protect the health of people in the community and reduce the damage and mortality. In this regard, this thesis attempts to develop a spatial spread model of COVID-19 within architectural spaces. It provides a method for evaluating the passages and the infection probability from traveling through the contaminated spaces, which have been divided into two categories, one category is the wide-open spaces and the other corridor-based spaces; These categories rely on various ways the developed algorithm is applied. The proposed model can be adopted to assess the existing systems as to the resistance to the infection. Furthermore can be applied to present more safe assistance in the navigation through an existing architectural setting. The model is subject to the discovery of epidemiological data and can be adjusted to reflect new epidemiological evidence.