This project aims to analyse mosquito bite patterns across Catalonia using real-world data from multiple open sources. Mosquito activity is shaped by environmental and demographic conditions, and understanding these relationships can help identify risk factors and support public health initiatives. 
Our central hypothesis is that bite frequency varies with environmental variables such as temperature and humidity, as well as demographic characteristics like population density and geographic region. We also examine whether certain mosquito species are reported more frequently than others. 
To address these questions, we built a complete data-processing pipeline that integrates, cleans, and analyses information from several open datasets. 
It is important to note that the primary source of bite information (Mosquito Alert) is based on user-reported bites and sightings. These reports are not uniformly distributed across Catalonia and are particularly concentrated in the Barcelona metropolitan area. This uneven spatial distribution introduces potential biases in the dataset and limits the representativeness of the observations. For a more accurate and comprehensive analysis, a targeted data-collection campaign focused on mosquito bites and sightings across under-represented regions would be necessary. 

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