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Comparing the accuracy of several network-based COVID-19 prediction algorithms 1 Introduction 1 Prediction algorithms 2 Potential generalisation to prediction intervals 3 Sigmoid curves 3 Long short-term memory 3 Network inference-based prediction algorithm (NIPA) 3 NIPA applied to each region separately 3 NIPA static prior 4 NIPA dynamic prior 4 Evaluation of the prediction performance 4 Hubei, China 4 The Netherlands 6 Conclusion 8 Acknowledgments 9 Appendix A. SIR epidemic model 9 Appendix B. Motivation for the static and dynamic prior 9 Appendix C. Details on NIPA static prior 10 Pseudocode 11 Appendix D. Details on NIPA dynamic prior 12 Maximum-likelihood estimation 12 Appendix E. NIPA static prior under perfect conditions 12 Appendix F. Sigmoid curves 13 Appendix G. Influence of the time step on the prediction accuracy 14 References 15