Changes

When assessing the possible explaining factors for case distribution in an urban area during the first wave of the pandemic, a conclusion may be drawn: although population density is partly related to the case distribution, a more complex multi-factorial model underlies. Economic activity and age (young students, type of work, etc.) contribute in the first instance to the location and transmission of infection, which will then be distributed according to the mobility of the population, the shifts amongst hotspots as well as some other reasons. Variables such as building typology and living conditions (e.g. overcrowding, ventilation, etc.) or proximity to areas of possible infection (e.g. hospitals, healthcare centres, etc.) are also explaining factors. On the other hand, nearness to the sea and the positive environmental conditions it provides (less pollution, greater exposure to the wind, etc.) may lead to fewer hotspots.

{{ANEAutoria|Autores= Matías Mérida Rodríguez, Jesús Miranda Páez, María Jesús Perles Roselló y Juan Francisco Sortino Barrionuevo}}