Abstract
The article is a continuation of research published by the author elsewhere (Śleszyński, 2020). The elaboration presents the regularity of spatial distribution of infections during the first six months after the detection of SARS-CoV-2 coronovirus in Poland under strong lockdown conditions. The main aim is to try to determine the basic temporal-spatial patterns and to answer the questions: to what extent the phenomenon was ordered and to what extent it was chaotic, whether there are any particular features of spread, whether the infection is concentrated or dispersed and whether the spreading factors in Poland are similar to those observed in other countries. Day by day data were used according to the counties collected in Rogalski’s team (2020). The data were aggregated to weekly periods (7 days) and then the regularity of spatial distribution was searched for using the cartogram method, time series shifts, rope correlation between the intensity of infections in different periods, Herfindahl-Hirschman concentration index (HHI) and cluster analysis. A spatial typology of infection development in the population was also performed. Among other things, it was shown that during the first period (about 100 days after the first case), the infections became more and more spatially concentrated and then dispersed. Differences were also shown in relation to the spread of the infection compared to observations from other countries, i.e. no relation to population density and level of urbanization.
Highlights
Pandemic COVID-19, initiated in China in 2019. (Zhao & Chen, 2020), which spread around the world in spring 2020. (WHO, 2020), for obvious reasons, caused great interest in science
Related to problems that fall within the scope of medical geography and geoepidemiology
The results clearly indicate the role of mobility in the spread of the virus in Poland, which is quite obvious in the light of the previous knowledge of medical geography and geoepidemiology in general, as mentioned
Summary
Pandemic COVID-19, initiated in China in 2019. (Zhao & Chen, 2020), which spread around the world in spring 2020. (WHO, 2020), for obvious reasons, caused great interest in science. Some of the studies are related to problems that fall within the scope of medical geography and geoepidemiology This is due to the fact that the spread of any infectious disease in the human population has its very important conditions related to the subject of geography studies (Cliff & Haggett, 1989; Wilson, 2010; Meade, 2014). The most prominent feature of medical geography (Sattenspiel & Lloyd, 2009) is its spatially continuous spread (diffusion) and discontinuous (dispersion), e.g. jump dispersion. The former is accidental (random) and the latter systematic, most often associated with the slow transmission of infections from the epicenter to the centrifugal. This is a more exhaustive distinction than is usual in socioeconomic geography
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