A statistical mechanical study of epidemic spreading in a heterogeneous population and interventions

Keyphrases

1. Heterogeneous Population 100%
2. Mechanical Studies 100%
3. Infection Risk 100%
4. Epidemic Spreading 100%
5. Cellular Deconvolution 100%
6. Sherrington-Kirkpatrick 100%
7. Neural Network 100%
8. Synaptic Plasticity 100%
9. Evolutionary Learning 100%
10. SARS-CoV-2 Evolution 100%
11. Working Memory 100%
12. Error Reduction 100%
13. Memory Errors 100%
14. Annealing 100%
15. Maximum Likelihood 100%
16. Angiotensin-converting Enzyme 2 (ACE2) 100%
17. Finite-size Scaling 100%
18. Omicron Sub-lineages 100%
19. Tumor Microenvironment 100%
20. Cancer Types 100%
21. Spin Glass 100%
22. Angiotensin-converting Enzyme 2 Receptor 100%
23. Deep Learning Methods 100%
24. Evolutionary Analysis 100%
25. Facility Location 66%
26. Agent-based Model 66%
27. Biophysical Neuron Model 66%
28. Evolutionary Algorithms 66%
29. Recurrent Neural Network 66%
30. Cancer Genome Atlas 66%
31. Solid Tumors 66%
32. Gene Expression Profile 66%
33. Cellular Composition 66%
34. Non-cancer 66%
35. Bulk RNA Sequencing 66%
36. Training Set 66%
37. Training Quality 66%
38. Omicron Variant 50%
39. Immune Evasion 50%
40. Transport Indicators 33%
41. Dynamical Equations 33%
42. Omicron Wave 33%
43. Infectious Pathogens 33%
44. Risk Propagation 33%
45. Epidemic Forecast 33%
46. Mean-field Type 33%
47. Human Contact Patterns 33%
48. Synthetic Population 33%
49. Human Activity Patterns 33%
50. Specific Infection 33%
51. Vaccination Drive 33%
52. Numerical Exploration 33%
53. Path Trajectory 33%
54. Pattern Characteristic 33%
55. Modeling Effort 33%
56. Epidemic Model 33%
57. Viral Spread 33%
58. Model Calibration 33%
59. Modeling Framework 33%
60. Systematic Integration 33%
61. Immune System 33%
62. Risk Prediction 33%
63. Generic Definition 33%
64. Wide Distribution 33%
65. Location-specific 33%
66. Public Response 33%
67. Human Population 33%
68. Virus 33%
69. Decision Time 33%
70. Daily Routines 33%
71. Long-term Trends 33%
72. Model Building 33%
73. Public Health Policy 33%
74. Analytical Treatment 33%
75. Epidemic Growth Rate 33%
76. Node-based Approach 33%
77. Network Model 33%
78. COVID-19 Pandemic 33%
79. Viral mutation 33%
80. Network Level 33%
81. Non-pharmaceutical Interventions 33%
82. Disease Pattern 33%
83. Hong Kong 33%
84. Infection Rate 33%
85. Tumor Gene Expression 33%
86. Highly Variable Genes 33%
87. Condensation Phenomena 33%
88. Eigenvalue Fluctuations 33%
89. Second Order ODE 33%
90. Spin Glass Model 33%
91. Sherrington-Kirkpatrick Model 33%
92. Spectral Edge 33%
93. Stieltjes Transform 33%
94. Transformation Yield 33%
95. First-order ODE 33%
96. Riccati 33%
97. Random Matrices 33%
98. Traditional Training 33%
99. Dopamine 33%
100. Problem-solving Skills 33%
101. Feedforward Architecture 33%
102. Memory Replay 33%
103. Backpropagation 33%
104. Spiking Neural Networks 33%
105. Gradient Method 33%
106. Algorithmic Modeling 33%
107. Traditional Algorithm 33%
108. Brain Circuits 33%
109. Dopamine Function 33%
110. Gradient-free 33%
111. Training Approaches 33%
112. Model Complexity 33%
113. Analog Neural Network 33%
114. Training Methods 33%
115. Atari Games 33%
116. Recurrent Architecture 33%
117. Dendritic Spines 33%
118. Metaplasticity 33%
119. Classification Game 33%
120. Biological Mechanisms 33%
121. MNIST 33%
122. Brain-inspired 33%
123. Neural Dynamics 33%
124. Non-dynamic 33%
125. Multiple Mechanisms 33%
126. Decoding Process 33%
127. Neural Mechanisms 33%
128. Environmental Statistics 33%
129. Memorization 33%
130. Neural States 33%
131. Delayed Response Task 33%
132. Reduced Memory 33%
133. Computational Mechanism 33%
134. Neural Systems 33%
135. Discrete Eigenvalues 33%
136. Tumor Purity 33%
137. Tumor 33%
138. Flow Cytometry 33%
139. Tumor Biology 33%
140. Single-cell RNA-seq Data 33%
141. Cancer Cells 33%
142. Ansatz 33%
143. Receptor-binding Domain 33%
144. Single-cell RNA Sequencing (scRNA-seq) 33%
145. Leading Eigenvalue 33%
146. Sampling Methods 33%
147. External Data 33%
148. Biological Pathways 33%
149. Cancer Patients 33%
150. Size Limit 33%
151. Monte Carlo Simulation 33%
152. Scaling Function 33%
153. Characteristic Function 33%
154. Fine Resolution 33%
155. Eigenvalues 33%
156. Filter Method 33%
157. Putative Drug Targets 33%
158. RNA-sequencing Data 33%
159. Cancer Cell Lines 33%
160. High-affinity State 16%
161. Receptor Binding Affinity 16%
162. Structural Adaptability 16%
163. Viral Evolution 16%
164. Binding Affinity 16%
165. Binding Strength 16%
166. Transmissibility 16%
167. Viral 16%
168. Therapeutic Strategies 16%
169. Dynamic Binding 16%
170. Molecular Dynamics Simulation 16%
171. Binding Energy 16%
172. Binding Energy Calculations 16%
173. Electrostatic Potential 16%
174. Spike Protein 16%
175. Structural Stability 16%
176. Low Affinity 16%