Vaccine Antibody Response by Age

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(222)

# Antibody response data
n_subjects = 140

day0_titer = np.random.uniform(10, 100, n_subjects)
day28_titer = day0_titer * np.random.uniform(5, 50, n_subjects)
day90_titer = day28_titer * np.random.uniform(0.3, 0.8, n_subjects)

# Age groups affect response
age_group = np.random.choice(['18-35', '36-55', '56+'], n_subjects)
age_colors = {'18-35': '#27D3F5', '36-55': '#6CF527', '56+': '#F5B027'}
colors = [age_colors[a] for a in age_group]

fig = plt.figure(figsize=(10, 8), facecolor='#ffffff')
ax = fig.add_subplot(111, projection='3d', facecolor='#ffffff')

ax.scatter(np.log10(day0_titer), np.log10(day28_titer), np.log10(day90_titer), 
           c=colors, s=50, alpha=0.7, edgecolors='#374151', linewidths=0.3)

ax.set_xlabel('log₁₀(Day 0 Titer)', color='#1f2937', fontsize=10)
ax.set_ylabel('log₁₀(Day 28 Titer)', color='#1f2937', fontsize=10)
ax.set_zlabel('log₁₀(Day 90 Titer)', color='#1f2937', fontsize=10)
ax.set_title('Vaccine Antibody Response by Age', color='#1f2937', fontsize=14, fontweight='bold', pad=20)

ax.tick_params(colors='#6b7280', labelsize=8)
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#e5e7eb')
ax.yaxis.pane.set_edgecolor('#e5e7eb')
ax.zaxis.pane.set_edgecolor('#e5e7eb')

ax.view_init(elev=20, azim=45)
plt.tight_layout()
plt.show()