Desarrollo de repositorio y visualización para salud mental en la Eurozona, usando data de Google Trends.
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad de Concepción
Abstract
Se analizaron las tendencias de búsqueda en Google relacionadas con términos de salud mental en 20 países europeos entre 2010 y 2023. Utilizando Google Trends y el modelo de pronóstico Prophet, se identificaron variaciones significativas en el interés y los patrones de búsqueda según el país y la región.
En Francia, el interés por la "ansiedad" se mantuvo estable a lo largo del tiempo, con fluctuaciones influenciadas por factores estacionales y eventos específicos. El análisis comparativo entre países agrupados por regiones geográficas reveló diferencias notables en las tendencias de búsqueda.
Estos hallazgos sugieren que factores socioeconómicos, culturales y geográficos influyen en la forma en que las personas buscan información sobre salud mental en línea. El estudio destaca el potencial de Google Trends como herramienta para comprender las necesidades de salud mental y guiar políticas públicas, así como la utilidad de la perspectiva de la ingeniería civil industrial para optimizar la asignación de recursos en este ámbito.
Se desarrolló un Producto Mínimo Viable (MVP) utilizando Streamlit, una plataforma de código abierto que permite explorar y analizar las tendencias de búsqueda relacionadas con la salud mental en la Unión Europea. El código fuente y los algoritmos utilizados están disponibles en un repositorio de código abierto, fomentando la colaboración y el intercambio de conocimientos en este campo.
Google search trends related to mental health terms were analyzed in 20 European countries between 2010 and 2023. Using Google Trends and the Prophet forecasting model, significant variations in interest and search patterns were identified by country and location. region. In France, interest in "anxiety" remained stable over time, with fluctuations influenced by seasonal factors and specific events. Comparative analysis between countries grouped by geographic regions revealed notable differences in search trends. These findings suggest that socioeconomic, cultural, and geographic factors influence how people seek mental health information online. The study highlights the potential of Google Trends as a tool to understand mental health needs and guide public policies, as well as the usefulness of the industrial civil engineering perspective to optimize the allocation of resources in this area. A Minimum Viable Product (MVP) was developed using Streamlit, an open source platform that allows exploring and analyzing search trends related to mental health in the European Union. The source code and algorithms used are available in an open source repository, encouraging collaboration and knowledge sharing in this field.
Google search trends related to mental health terms were analyzed in 20 European countries between 2010 and 2023. Using Google Trends and the Prophet forecasting model, significant variations in interest and search patterns were identified by country and location. region. In France, interest in "anxiety" remained stable over time, with fluctuations influenced by seasonal factors and specific events. Comparative analysis between countries grouped by geographic regions revealed notable differences in search trends. These findings suggest that socioeconomic, cultural, and geographic factors influence how people seek mental health information online. The study highlights the potential of Google Trends as a tool to understand mental health needs and guide public policies, as well as the usefulness of the industrial civil engineering perspective to optimize the allocation of resources in this area. A Minimum Viable Product (MVP) was developed using Streamlit, an open source platform that allows exploring and analyzing search trends related to mental health in the European Union. The source code and algorithms used are available in an open source repository, encouraging collaboration and knowledge sharing in this field.
Description
Tesis presentada para optar al título de Ingeniero Civil Industrial
Keywords
Salud mental, Pronósticos, Indicadores de salud Europa Estadísticas