# Cross-Correlation Analysis of Monthly Google Search Volume and Suicide in Taiwan, 2012–2022

## TL;DR

This study found that certain Google search terms in Taiwan correlated with suicide rates, suggesting potential for improved suicide prediction.

## Contribution

The study identifies specific Google search terms that prospectively correlate with suicide rates in Taiwan across different age groups.

## Key findings

- The search terms 'pain' and 'Taiwan economy' positively predicted monthly suicide rates in the total population.
- The term 'hypnotic' at a 3-month lag negatively correlated with suicide in those aged ≥65.
- The term 'allergy' at a 1-month lag positively correlated with suicide in those aged ≥65.

## Abstract

Background: The present study investigated the 1-month, 2-month, and 3-month prospective associations of Google search terms with suicide in Taiwan from 2012 to 2022.

Methods: We analyzed daily suicide data from Taiwan's Cause of Death Statistics between January 1, 2012, and December 31, 2022. Data on Google search volumes for 37 terms related to suicide-related, socioeconomic status, familial problems, and physical and psychiatric problems were extracted from Google Trends. Cross-correlation coefficients between monthly Google search term volumes and monthly suicide were calculated at lags of 3 months (lag-3), 2 months (lag-2), and 1 month (lag-1).

Results: The monthly Google search volumes of two terms, “pain” and “Taiwan economy”, positively predicted monthly suicide in the total population. The search term “hypnotic” lag-3 negatively correlated with monthly suicide in the population aged ≥65. The search term “allergy” lag-1 positively correlated with monthly suicide in the population aged ≥65.

Conclusions: The monthly Google search terms of “pain” and “Taiwan economy” positively correlated with monthly suicide. The search terms “hypnotic” and “allergy” negatively and positively correlated with monthly suicide in the population aged ≥65, respectively. These terms may enable more accurate forecasting of future suicides.