Table 1 Analysis of Sepsis-Related Social Media Content
From: Social media insights on sepsis management using advanced natural language processing techniques
Topic | Representative Words (Probability) | Proportion of Tweets |
|---|---|---|
Panel A: Topic Modeling Results | ||
1. Sepsis symptoms and early detection | signs (0.028), symptoms (0.025), early (0.021), detect (0.019), fever (0.017), chills (0.015), confusion (0.014), breathing (0.013), heart rate (0.012), pain (0.011) | 19.5% |
2. Personal experiences with sepsis | family (0.032), lost (0.029), survivor (0.026), story (0.023), battle (0.021), fight (0.019), share (0.017), journey (0.015), recover (0.013), support (0.011) | 21.3% |
3. Sepsis prevention and risk factors | prevent (0.035), risk (0.031), factors (0.027), infection (0.024), hygiene (0.021), vaccinate (0.018), handwashing (0.016), clean (0.014), wound (0.012), immune (0.010) | 16.8% |
4. Treatment and outcomes of sepsis | treatment (0.040), antibiotics (0.036), hospital (0.033), ICU (0.029), organ failure (0.026), shock (0.023), survive (0.020), death (0.018), recovery (0.016), long-term (0.014) | 12.5% |
5. Sepsis awareness and education | awareness (0.044), education (0.039), campaign (0.035), knowledge (0.031), learn (0.027), recognize (0.024), signs (0.021), symptoms (0.019), prevention (0.016), information (0.014) | 24.6% |
6. Healthcare systems and sepsis management | healthcare (0.038), system (0.034), management (0.030), protocol (0.027), guidelines (0.024), training (0.021), quality (0.019), improve (0.016), standardize (0.014), coordinate (0.012) | 5.3% |
Predictor | Univariate Model | Regression Model | ||
|---|---|---|---|---|
β | p-value | β | p-value | |
Panel B: Linear Regression Analysis of Factors Affecting Tweet Engagement | ||||
Sentiment Score (Positive) | 0.18 | < 0.001 | 0.20 | < 0.001 |
Sentiment Score (Negative) | − 0.09 | < 0.01 | -0.11 | < 0.01 |
Topic 1: Sepsis symptoms and early detection | 0.06 | 0.07 | – | – |
Topic 2: Personal experiences with sepsis | 0.11 | < 0.001 | 0.13 | < 0.001 |
Topic 3: Sepsis prevention and risk factors | 0.08 | < 0.05 | 0.09 | < 0.01 |
Topic 4: Treatment and outcomes of sepsis | − 0.03 | 0.28 | – | – |
Topic 5: Sepsis awareness and education | 0.22 | < 0.001 | 0.25 | < 0.001 |
Topic 6: Healthcare systems and sepsis management | 0.01 | 0.65 | – | – |
User Influence (In-degree Centrality) | 0.35 | < 0.001 | 0.38 | < 0.001 |
R2 | 0.33 | 0.32 | ||