Abstract
The sudy aims to focus on spatial transmission of Covid-19 in Turkey, to understand the channels through which it spreads by considering the regional socio-economic dimension. Within this scope, demographic, socioeconomic and healthcare factors associated with the spread of Covid-19 were analyzed in a provincial context. Spatial autocorrelation was used to examine parameters that spatially affect the number of cases. Spatial autocorrelation results reveal spatial differences in the spread of the pandemic. The findings highlight the importance of the space factor in reducing local contamination within the country. The results obtained will enable the discovery of risk factors for disease and will lead policy makers to make effective decisions. In this context, spatial-specific policy strategies will protect public health by reducing the spread of the virus.
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