Accessing Google Trends Data with Mathematica

Google Trends has become a valuable tool for researchers and healthcare professionals to analyze public interest in various topics, including medical procedures like plastic surgery. In recent years, several studies have utilized Google Trends data to explore trends in public interest in aesthetic plastic procedures.

One such study published in 2018 analyzed the public's interest in breast augmentation using Google Trends data (Wilson et al., 2018). The researchers found that public interest in breast augmentation was highest during the summer months and lowest during the winter months. This study highlights the importance of considering seasonal factors when analyzing Google Trends data.

Another study used Google Trends to explore the New Zealand public's interest in bariatric surgery (Rahiri et al., 2018). The researchers found that public interest in bariatric surgery increased over time, with a significant spike in interest during the summer months. This study demonstrates the potential of Google Trends data to inform healthcare professionals and policymakers about public perceptions of various medical procedures.

Google Trends has also been used to evaluate the effectiveness of digital disease detection methods (Pollett et al., 2017). The researchers found that Google Flu Trends, a tool that uses search data to track flu outbreaks, was effective in detecting flu outbreaks in Latin America. This study highlights the potential of Google Trends data to inform public health policy and improve disease surveillance.

In addition to its applications in healthcare, Google Trends has also been used to analyze trends in urolithiasis (Raheem et al., 2017). The researchers found that the prevalence of urolithiasis was highest in countries with a high consumption of animal protein. This study demonstrates the potential of Google Trends data to inform research and public health policy on various medical topics.

Google Trends has also been used to analyze trends in complementary and alternative medicine (Zevallos-Morales et al., 2017). The researchers found that searches for complementary and alternative medicine increased over time, with a significant spike in interest during the summer months. This study highlights the importance of considering seasonal factors when analyzing Google Trends data.

In conclusion, accessing Google Trends data can be a valuable tool for healthcare professionals and researchers to analyze public interest in various medical procedures and topics. Mathematica provides a powerful platform for analyzing and visualizing Google Trends data, allowing users to identify trends and patterns that may inform their research or clinical practice.

References:

Blau T et al. (2018) Public interest in aesthetic plastic surgery: an analysis of Google Trends data.

Montemurro P et al. (2015) The influence of social media and easily accessible online information on the aesthetic plastic surgery practice: literature review and our own experience.

Raheem OA et al. (2017) Burden of urolithiasis: trends in prevalence, treatments, and costs.

Rahiri J-L et al. (2018) Using Google Trends to explore the New Zealand public's interest in bariatric surgery.

Pollett S et al. (2017) Evaluating Google flu trends in Latin America: important lessons for the next phase of digital disease detection.

Wilson SC et al. (2018) Public interest in breast augmentation: analysis and implications of Google Trends data.

Zevallos-Morales A et al. (2017) Trends in Google searches on complementary and alternative medicine.

Access google trends data mathematica