![]() (access to metro, suburban trains, bus service) and population density.įinally, even the size of the dwellings could play a role in the spread, and Public transport may have been a key factor in the rapid spread of COVID-19,Īnd there is a clear relationship between endowment and use of public transport To low-density areas, a higher concentration of the population in the territoryįavors the interaction and contacts in the daily life of individuals, which isĮssential for the rapid transmission of the illness. Briefly, and without trying to be exhaustive, compared There are several reasons why the incidence of COVID-19 may be higher inĭensely populated areas. More specifically, we want to check whether the areas with the highest populationĭensity are those with the highest number of cases in relation to their size. Relationship between the spread of the epidemic and population density in BHA. What has been said so far, the objective of this research is to analyze the Among other issues, this couldīe useful for the organization of health resources and even for the design ofĬonfinement / unconfinement measures, which could become spatially asymmetric. Spatial differences in the spread of COVID-19. These reasons, it is interesting to explore in more detail the origin of the In many cases informal) that do not take into account the simultaneous effect However, until now a good part of the arguments are based on partial analysis (and Relating the differences among regions, provinces, towns and even districts Had a media impact since the spread of the epidemic in our environment, It canīe clearly appreciated how the spread of the disease has not been spatiallyĭifference in the incidence of the COVID-19 epidemic that is observed in theĬatalan territory is also appreciated in other territories and, in fact, it hasīeen reported in the case of other previous epidemics. As an example, the map in Figure 1 shows the rate ofĪccumulated positive cases of COVID-19 in BHA (data reported on April 6th). Registry of the Health Department of the Government of Catalonia, the rate ofĪccumulated positive cases varies substantially between Basic Health Areas ![]() Quality and Evaluation Agency (AQuAS) has shown using data from the COVID-19 Spread of the epidemic has been clearly asymmetric. Interesting fact in this context is that geographical distribution of the The subsequent days possibly associated with the implementation of population Transmitted exponentially to the population of Catalonia, with a slowdown in March and the beginnings of April 2020, the epidemic of COVID-19 was Regional Quantitative Analysis Research Group (AQR–UB)
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