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Practical considerations for measuring the effective reproductive number, Rt

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  1. Amanda C. Perofsky & Chelsea L. Hansen & Roy Burstein & Shanda Boyle & Robin Prentice & Cooper Marshall & David Reinhart & Ben Capodanno & Melissa Truong & Kristen Schwabe-Fry & Kayla Kuchta & Brian P, 2024. "Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre- and post-COVID-19 pandemic years," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  2. Kris V. Parag & Robin N. Thompson & Christl A. Donnelly, 2022. "Authors’ reply to the discussion of ‘Are epidemic growth rates more informative than reproduction numbers?’ by Parag et al. in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COV," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 55-60, November.
  3. James, Nick & Menzies, Max, 2023. "Collective infectivity of the pandemic over time and association with vaccine coverage and economic development," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
  4. Lorenzo Pellis & Paul J. Birrell & Joshua Blake & Christopher E. Overton & Francesca Scarabel & Helena B. Stage & Ellen Brooks‐Pollock & Leon Danon & Ian Hall & Thomas A. House & Matt J. Keeling & Jon, 2022. "Estimation of reproduction numbers in real time: Conceptual and statistical challenges," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 112-130, November.
  5. Chang, Joseph T. & Kaplan, Edward H., 2023. "Modeling local coronavirus outbreaks," European Journal of Operational Research, Elsevier, vol. 304(1), pages 57-68.
  6. Aldo Carranza & Marcel Goic & Eduardo Lara & Marcelo Olivares & Gabriel Y. Weintraub & Julio Covarrubia & Cristian Escobedo & Natalia Jara & Leonardo J. Basso, 2022. "The Social Divide of Social Distancing: Shelter-in-Place Behavior in Santiago During the Covid-19 Pandemic," Management Science, INFORMS, vol. 68(3), pages 2016-2027, March.
  7. Palatella, Luigi & Vanni, Fabio & Lambert, David, 2021. "A phenomenological estimate of the true scale of CoViD-19 from primary data," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
  8. Publio Darío Cortés-Carvajal & Mitzi Cubilla-Montilla & David Ricardo González-Cortés, 2022. "Estimation of the Instantaneous Reproduction Number and Its Confidence Interval for Modeling the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(2), pages 1-30, January.
  9. Yee Whye Teh & Bryn Elesedy & Bobby He & Michael Hutchinson & Sheheryar Zaidi & Avishkar Bhoopchand & Ulrich Paquet & Nenad Tomasev & Jonathan Read & Peter J. Diggle, 2022. "Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 65-85, November.
  10. Nicholas P. Jewell & Joseph A. Lewnard, 2022. "On the use of the reproduction number for SARS‐CoV‐2: Estimation, misinterpretations and relationships with other ecological measures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 16-27, November.
  11. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
  12. Kimberly M. Fornace & Hillary M. Topazian & Isobel Routledge & Syafie Asyraf & Jenarun Jelip & Kim A. Lindblade & Mohammad Saffree Jeffree & Pablo Ruiz Cuenca & Samir Bhatt & Kamruddin Ahmed & Azra C., 2023. "No evidence of sustained nonzoonotic Plasmodium knowlesi transmission in Malaysia from modelling malaria case data," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
  13. Joe Meagher & Nial Friel, 2022. "Assessing epidemic curves for evidence of superspreading," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2179-2202, October.
  14. Reese Richardson & Emile Jorgensen & Philip Arevalo & Tobias M. Holden & Katelyn M. Gostic & Massimo Pacilli & Isaac Ghinai & Shannon Lightner & Sarah Cobey & Jaline Gerardin, 2022. "Tracking changes in SARS-CoV-2 transmission with a novel outpatient sentinel surveillance system in Chicago, USA," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  15. Fernando Córdova-Lepe & Juan Pablo Gutiérrez-Jara & Gerardo Chowell, 2024. "Influence of the Effective Reproduction Number on the SIR Model with a Dynamic Transmission Rate," Mathematics, MDPI, vol. 12(12), pages 1-10, June.
  16. Diana Rose E. Ranoa & Robin L. Holland & Fadi G. Alnaji & Kelsie J. Green & Leyi Wang & Richard L. Fredrickson & Tong Wang & George N. Wong & Johnny Uelmen & Sergei Maslov & Zachary J. Weiner & Alexei, 2022. "Mitigation of SARS-CoV-2 transmission at a large public university," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
  17. Bradley S Price & Maryam Khodaverdi & Adam Halasz & Brian Hendricks & Wesley Kimble & Gordon S Smith & Sally L Hodder, 2021. "Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-16, November.
  18. Dominic P. Brass & Christina A. Cobbold & Bethan V. Purse & David A. Ewing & Amanda Callaghan & Steven M. White, 2024. "Role of vector phenotypic plasticity in disease transmission as illustrated by the spread of dengue virus by Aedes albopictus," Nature Communications, Nature, vol. 15(1), pages 1-22, December.
  19. Maria Bekker‐Nielsen Dunbar & Felix Hofmann & Leonhard Held & the SUSPend modelling consortium, 2022. "Assessing the effect of school closures on the spread of COVID‐19 in Zurich," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 131-142, November.
  20. Haogao Gu & Ruopeng Xie & Dillon C. Adam & Joseph L.-H. Tsui & Daniel K. Chu & Lydia D. J. Chang & Sammi S. Y. Cheuk & Shreya Gurung & Pavithra Krishnan & Daisy Y. M. Ng & Gigi Y. Z. Liu & Carrie K. C, 2022. "Genomic epidemiology of SARS-CoV-2 under an elimination strategy in Hong Kong," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  21. Costa, Guilherme S. & Cota, Wesley & Ferreira, Silvio C., 2022. "Data-driven approach in a compartmental epidemic model to assess undocumented infections," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
  22. Wang, Xiangrong & Hou, Hongru & Lu, Dan & Wu, Zongze & Moreno, Yamir, 2024. "Unveiling the reproduction number scaling in characterizing social contagion coverage," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
  23. Sabah Bushaj & Xuecheng Yin & Arjeta Beqiri & Donald Andrews & İ. Esra Büyüktahtakın, 2023. "A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization," Annals of Operations Research, Springer, vol. 328(1), pages 245-277, September.
  24. Hyukpyo Hong & Eunjin Eom & Hyojung Lee & Sunhwa Choi & Boseung Choi & Jae Kyoung Kim, 2024. "Overcoming bias in estimating epidemiological parameters with realistic history-dependent disease spread dynamics," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  25. Dongxuan Chen & Yiu-Chung Lau & Xiao-Ke Xu & Lin Wang & Zhanwei Du & Tim K. Tsang & Peng Wu & Eric H. Y. Lau & Jacco Wallinga & Benjamin J. Cowling & Sheikh Taslim Ali, 2022. "Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  26. Park, Dojoon & Kang, Yong Joo & Eom, Young Ho, 2024. "Asset pricing tests for pandemic risk," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1314-1334.
  27. Mohammad Reza Davahli & Krzysztof Fiok & Waldemar Karwowski & Awad M. Aljuaid & Redha Taiar, 2021. "Predicting the Dynamics of the COVID-19 Pandemic in the United States Using Graph Theory-Based Neural Networks," IJERPH, MDPI, vol. 18(7), pages 1-12, April.
  28. Yun Lin & Bingyi Yang & Sarah Cobey & Eric H. Y. Lau & Dillon C. Adam & Jessica Y. Wong & Helen S. Bond & Justin K. Cheung & Faith Ho & Huizhi Gao & Sheikh Taslim Ali & Nancy H. L. Leung & Tim K. Tsan, 2022. "Incorporating temporal distribution of population-level viral load enables real-time estimation of COVID-19 transmission," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
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