**4. Conclusion**

This study employs an exhaustive set of socioeconomic variables and vaccination rates to detect their roles in the spread of Covid-19 in Turkey in a spatial setting. Province-level data allows us to detect the existence of spatiality as well. We cannot detect any global interactions in the diffusion process, so the number of infected people at one location does not bring an extra infection burden to the neighboring locations. Yet, our findings show that local interactions in terms of vaccination rates and median age play an important role in the increase in the total number of cases. Increased vaccination rates in the neighboring provinces also increase the total number of cases in a given province. This result can be explained by the vaccine hesitancy toward the Covid-19 vaccine. We also find evidence that people that are more satisfied with their health status are more likely to catch the disease and increase the total number of cases. To fight the misperceptions about the nature of the disease and the vaccination procedure, the Turkish government must adopt a clear–communication policy and actively work for individuals to access reliable information.

*The Socio-Economic Factors of the Covid-19 Pandemic in Turkey: A Spatial Perspective DOI: http://dx.doi.org/10.5772/intechopen.106048*
