References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Adak, Debadatta; Majumder, Abhijit; Bairagi, Nandadulal: Mathematical perspective of Covid-19 pandemic: disease extinction criteria in deterministic and stochastic models (2021)
  2. Batista, Milan: On the reproduction number in epidemics (2021)
  3. Hasan, Agus: A numerical framework for estimating the effective reproduction number of infectious diseases from compartmental epidemic models (2021)
  4. Maiorana, Andrea; Meneghelli, Marco; Resnati, Mario: Effectiveness of isolation measures with app support to contain COVID-19 epidemics: a parametric approach (2021)
  5. Páez, Gustavo Nicolás; Cerón, Juan Felipe; Cortés, Santiago; Quiroz, Adolfo J.; Zea, José Fernando; Franco, Camila; Cruz, Érica; Vargas, Gina; Castañeda, Carlos: Alternative strategies for the estimation of a disease’s basic reproduction number: a model-agnostic study (2021)
  6. Shaw, Clara L.; Kennedy, David A.: What the reproductive number (\mathcalR_0) can and cannot tell us about COVID-19 dynamics (2021)
  7. De Simone, Andrea; Piangerelli, Marco: A Bayesian approach for monitoring epidemics in presence of undetected cases (2020)
  8. Estrada, Ernesto: COVID-19 and SARS-CoV-2. Modeling the present, looking at the future (2020)
  9. Xia, Fan; Xiao, Yanni; Liu, Peiyu; Cheke, Robert A.; Li, Xuanya: Differences in how interventions coupled with effective reproduction numbers account for marked variations in COVID-19 epidemic outcomes (2020)
  10. Waxman, David; Nouvellet, Pierre: Sub- or supercritical transmissibilities in a finite disease outbreak: symmetry in outbreak properties of a disease conditioned on extinction (2019)
  11. Chris Groendyke; David Welch: epinet: An R Package to Analyze Epidemics Spread across Contact Networks (2018) not zbMATH
  12. Samuel Jenness; Steven Goodreau; Martina Morris: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks (2018) not zbMATH
  13. Maëlle Salmon; Dirk Schumacher; Michael Höhle: Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance (2016) not zbMATH
  14. Browne, Cameron; Gulbudak, Hayriye; Webb, Glenn: Modeling contact tracing in outbreaks with application to Ebola (2015)
  15. Lee, Jonggul; Jung, Eunok: A spatial-temporal transmission model and early intervention policies of 2009 A/H1N1 influenza in South Korea (2015)
  16. Wang, Fei; Wang, Linhua; Wang, Peng: Estimation of hospital potential capacity and basic reproduction number (2014)