Assessing and validating risk-maps related to COVID-19 with an emphasis on behavioral-spatial criteria

Pendar, Hadi

Assessing and validating risk-maps related to COVID-19 with an emphasis on behavioral-spatial criteria

Document Type : Original Research

Author

H. pendar

ASSISTANT PROFESSOR- ART UNIVERSITY OF TEHRAN

Abstract

In addition to diagnostic measures in the early stages of the widespread disease of COVID-19, prevention of the presence of individuals in high-risk environments, along with the proper distribution of population and services, is also effective in controlling the spread of the disease. The epidemic model, is based on population and movement. The aim is to introduce hazardous maps at the outbreak of corona disease and to explain the framework for their preparation and application based on issues related to resident behaviors. This research has been done by the method of logical reasoning and by analytical study of the existing samples, the components that are effective in preparing these maps and updating them. To this end, after the typology of the maps, the results evaluation criteria were validated from the perspective of the outputs. According to the research results, the dynamics of human movement data are key to estimating spatial interactions in these maps; Because of the social distance, staying home, and closing down jobs, fundamental changes occur in individual and group movements. Using different sources of information can be provided, the platform for participation of different groups of users using mapping maps is provided with an active and inactive demographic approach and increased efficiency. The development of such maps is a collaboration between the fields of epidemiology, health, environmental psychology, and public planning and design, especially urban design, to ensure that integrated studies based on the dynamics of location-based behaviors greatly enhance the validity of the maps.

Keywords

Risk Maps

Behavior

Modeling

Dynamics

Covid-19

Subjects

City and Health

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