Background <p>The Russian Federation’s Invasion of Ukraine in 2022 has profoundly disrupted healthcare in the region, resulting in over 700 attacks on medical facilities and critical infrastructure. This Infodemiological study analyzes wartime public health-seeking behavior through Google Trends data.</p> Methods <p>Using Tactical Combat Casualty Care (TCCC) guidelines, we categorized Ukrainian-territory searches (January 2020–January 2024) into treatment-related (Amputation, Tourniquet, Cardiopulmonary Resuscitation, TCCC) and etiology-related terms (Wounded in Combat, Hemorrhage, Deep Vein Thrombosis). Relative Search Volume (RSV) pre- and post-invasion was statistically compared using Welch’s ANOVA (normally distributed data) or Wilcoxon signed-rank tests (non-normal distributions; SPSS v21.0).</p> Results <p>Analysis revealed a critical temporal disconnect: Etiology-related searches surged immediately post-invasion in 2022, evidenced by ‘Wounded in Combat’ (RSV 7.4 to 54.5; p &lt; 0.001) and ‘Hemorrhage’ (RSV 61.2 to 67.8; p &lt; 0.001), reflecting an uptick in acute injury cases. In contrast, treatment-related terms peaked in 2023, aligning with allied TCCC training and searches in which TCCC interest rose dramatically (RSV 0.3 to 47.2; p &lt; 0.001). Other searches increased such as ‘Tourniquet’ (RSV 12.8 to 38.3; p &lt; 0.001) and ‘Cardiopulmonary Resuscitation’ (RSV 0.2 to 28; <i>p</i> &lt; 0.001). Moreover, ‘Deep Vein Thrombosis’ queries declined (RSV 49.9 to 40.8; <i>p</i> = 0.017), suggesting a population-level shift from chronic to acute trauma priorities.</p> Conclusions <p>The delayed surge in treatment-related searches directly correlates with TCCC program implementation, demonstrating its capacity to shape population health responses during conflict. These findings support integrating TCCC into public health policy for future wars and highlight infodemiology’s utility in real-time crisis resource allocation.</p>

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The digital echo of war and the influence of tactical combat casualty care on google search patterns in Ukraine

  • Sebastian Balda,
  • Thomas Leone,
  • Flavio Veintemilla-Burgos,
  • Matias Panchana-Lascano,
  • Rodolfo Kronfle,
  • Geovanna Minchalo-Ochoa,
  • Ivo Diaz-Djevoich

摘要

Background

The Russian Federation’s Invasion of Ukraine in 2022 has profoundly disrupted healthcare in the region, resulting in over 700 attacks on medical facilities and critical infrastructure. This Infodemiological study analyzes wartime public health-seeking behavior through Google Trends data.

Methods

Using Tactical Combat Casualty Care (TCCC) guidelines, we categorized Ukrainian-territory searches (January 2020–January 2024) into treatment-related (Amputation, Tourniquet, Cardiopulmonary Resuscitation, TCCC) and etiology-related terms (Wounded in Combat, Hemorrhage, Deep Vein Thrombosis). Relative Search Volume (RSV) pre- and post-invasion was statistically compared using Welch’s ANOVA (normally distributed data) or Wilcoxon signed-rank tests (non-normal distributions; SPSS v21.0).

Results

Analysis revealed a critical temporal disconnect: Etiology-related searches surged immediately post-invasion in 2022, evidenced by ‘Wounded in Combat’ (RSV 7.4 to 54.5; p < 0.001) and ‘Hemorrhage’ (RSV 61.2 to 67.8; p < 0.001), reflecting an uptick in acute injury cases. In contrast, treatment-related terms peaked in 2023, aligning with allied TCCC training and searches in which TCCC interest rose dramatically (RSV 0.3 to 47.2; p < 0.001). Other searches increased such as ‘Tourniquet’ (RSV 12.8 to 38.3; p < 0.001) and ‘Cardiopulmonary Resuscitation’ (RSV 0.2 to 28; p < 0.001). Moreover, ‘Deep Vein Thrombosis’ queries declined (RSV 49.9 to 40.8; p = 0.017), suggesting a population-level shift from chronic to acute trauma priorities.

Conclusions

The delayed surge in treatment-related searches directly correlates with TCCC program implementation, demonstrating its capacity to shape population health responses during conflict. These findings support integrating TCCC into public health policy for future wars and highlight infodemiology’s utility in real-time crisis resource allocation.