Published on in Vol 17, No 7 (2015): July

Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network

Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network

Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network

Journals

  1. Chowell G, Tariq A, Hyman J. A novel sub-epidemic modeling framework for short-term forecasting epidemic waves. BMC Medicine 2019;17(1) View
  2. Zhou W, Yuan W, Chen C, Wang S, Liang S. Study on material base and action mechanism of compound Danshen dripping pills for treatment of atherosclerosis based on modularity analysis. Journal of Ethnopharmacology 2016;193:36 View
  3. Kaxiras E, Neofotistos G. Multiple Epidemic Wave Model of the COVID-19 Pandemic: Modeling Study. Journal of Medical Internet Research 2020;22(7):e20912 View
  4. Zachreson C, Fair K, Cliff O, Harding N, Piraveenan M, Prokopenko M. Urbanization affects peak timing, prevalence, and bimodality of influenza pandemics in Australia: Results of a census-calibrated model. Science Advances 2018;4(12) View
  5. Wang X, Pasco R, Du Z, Petty M, Fox S, Galvani A, Pignone M, Johnston S, Meyers L. Impact of Social Distancing Measures on Coronavirus Disease Healthcare Demand, Central Texas, USA. Emerging Infectious Diseases 2020;26(10):2361 View
  6. Herrera J, Srinivasan R, Brownstein J, Galvani A, Meyers L, Salathé M. Disease Surveillance on Complex Social Networks. PLOS Computational Biology 2016;12(7):e1004928 View
  7. Xu B, Cai J, He D, Chowell G, Xu B. Mechanistic modelling of multiple waves in an influenza epidemic or pandemic. Journal of Theoretical Biology 2020;486:110070 View
  8. Eggo R, Dawa J, Kucharski A, Cucunuba Z. The importance of local context in COVID-19 models. Nature Computational Science 2021;1(1):6 View
  9. Mahapatra D, Triambak S. Towards predicting COVID-19 infection waves: A random-walk Monte Carlo simulation approach. Chaos, Solitons & Fractals 2022;156:111785 View
  10. Sarwar Uddin M, Rafiq R. Characterizing pandemic waves: A latent class analysis of COVID-19 spread across US counties. Pattern Recognition Letters 2022;162:31 View
  11. Tsiligianni C, Tsiligiannis A, Tsiliyannis C. A stochastic inventory model of COVID-19 and robust, real-time identification of carriers at large and infection rate via asymptotic laws. European Journal of Operational Research 2023;304(1):42 View
  12. Du Z, Bai Y, Wang L, Herrera-Diestra J, Yuan Z, Guo R, Cowling B, Meyers L, Holme P, Galea S. Optimizing COVID-19 surveillance using historical electronic health records of influenza infections. PNAS Nexus 2022;1(2) View
  13. Fox S, Lachmann M, Tec M, Pasco R, Woody S, Du Z, Wang X, Ingle T, Javan E, Dahan M, Gaither K, Escott M, Adler S, Johnston S, Scott J, Meyers L. Real-time pandemic surveillance using hospital admissions and mobility data. Proceedings of the National Academy of Sciences 2022;119(7) View
  14. Lu Z, Xu Y, Chen J, Hu M. Investigation of traffic-driven epidemic spreading by taxi trip data. Physica A: Statistical Mechanics and its Applications 2023;632:129298 View

Books/Policy Documents

  1. Kiss I, Miller J, Simon P. Mathematics of Epidemics on Networks. View