my daughter gifted?" But they were more likely to search "is my daughter overweight?" than "is my son overweight?" He also examined cultural differences in attitudes around pregnancy. Google Trends has also been used to forecast economic indicators and financial markets, and analysis of Google Trends data has detected regional flu outbreaks before conventional monitoring systems. Google Trends is increasingly used in ecological and conservation studies, with the number of research articles growing over 50% per year. Google Trends data has been used to examine trends in public interest and awareness on biodiversity and conservation issues, species bias in conservation project, and identify cultural aspects of environmental issues. The data obtained from Google Trends has also been used to track changes in the timing biological processes as well as the geographic patterns of biological invasion. A 2011 study found that an indicator for private consumption based on search query time series provided by Google Trends found that in almost all conducted forecasting experiments, the Google indicator outperformed survey-based indicators. Evidence is provided by Jeremy Ginsberg et al. that Google Trends data can be used to track influenza-like illness in a population. Because the relative frequency of certain queries is highly correlated with the percentage of physician visits in which a patient presents with influenza-like symptoms, an estimate of weekly influenza activity can be reported. A more sophisticated model for inferring influenza rates from Google Trends, capable of overcoming the mistakes of its predecessors has been proposed by Lampos et al. The use of Google Trends to study a wide range of medical topics is becoming more widespread. Studies have been performed examining such diverse topics as use of tobacco substitutes, suicide occurrence, asthma, and parasitic diseases. Further research should extend the utility of Google Trends in healthcare. Furthermore, it was shown by Tobias Preis et al. that there is a correlation between Google Trends data of company names and transaction volumes of the corresponding stocks on a weekly time scale. In April 2012, Tobias Preis, Helen Susannah Moat, H. Eugene Stanley and Steven R. Bishop used Google Trends data to demonstrate that Internet users from countries with a higher per capita gross domestic product (GDP) are more likely to search for information about the future than information about the past. The findings, published in the journal Scientific Reports, suggest there may be a link between online behaviour and real-world economic