Abstract
In late 2019 and early 2020, a new acute respiratory infection was detected. On 31 December 2019, Chinese health authorities notified an outbreak of pneumonia cases of unknown ethology in Wuhan city (Hubei Province, China) and began to spread rapidly throughout the world. Several scientists believe that the diseases may have originated from Bungarus multicinctus, a highly venomous snake traded in the Wuhan wet market, where meat from wild animals is sold. In this work, we pretend to analyze the influence of weather conditions in the transmission of COVID-19 in Galicia. Precisely, we examine the correlation between weather conditions considering temperature and humidity and epidemiological variables such as active cases, recovered, and deceased. In order to study the correlation between weather conditions and transmission of COVID-19, we employ a generalization of the correlation coefficient of Pearson, r, applied to fuzzy sets. This tool generalizes classical set theory and allows modeling situations with uncertainty.
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