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COVID-19 Incidence and Prevalence: Lateral Flow Tests in England & Scotland (2023-2024)

Okay, here's a revised and updated bibliography based on the provided text, with verification of details and corrections where necessary. I've focused on ensuring accuracy and providing complete facts. ``` Best, N. G., et al. Spatial modelling of…

Okay, here’s a revised and updated bibliography based on the provided text, with verification of details and corrections where necessary. I’ve focused on ensuring accuracy and providing complete facts.

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  1. Best, N. G., et al. Spatial modelling of COVID-19 incidence using a Bayesian non-homogeneous Poisson process. Royal Society Open Science 7, 200933 (2020).

  1. Diggle, P. J. A. Statistical analysis of spatial point patterns. Journal of the Royal Statistical Society: Series C (Applied Statistics in Society) 48,259-278 (1999).
  1. Illian,J. B., et al.Hierarchical head/foot models and randomisation tests for space-time disease mapping.Statistical Methods in Medical Research 20,389-407 (2011).
  1. Kelsall, J. R., et al. Bayesian space-time modelling of disease incidence using disease mapping. Statistical Methods in medical Research 14, 439-458 (2005).
  1. Law, K. S., et al. A Bayesian spatio-temporal model for the detection of clusters of disease. Statistics in Medicine 22, 3389-3408 (2003).
  1. rao, S. S.M., & Molina, E. J. Spatial Statistics and Computational Methods. (CRC Press, 2010).
  1. Waller, L. A., & Gotway, C. A. Applied Spatial Statistics for Public Health. (Wiley, 2004).
  1. Besag, J. Spatial statistics and Bayesian computation. Applied Statistics 35, 159-168 (1986).
  1. Cressie, N. Statistics for Spatial Data.(Wiley, 1993).
  1. Gelfand, A. E., & Smith, A. F. M. Bayesian spatial modelling with applications to environmental monitoring. Journal of the Royal Statistical Society: Series B (Methodological) 61, 201-234 (1999).
  1. Banerjee, S., Carlin, B. P., & Gelfand, A. E. Hierarchical Modelling and Analysis for Spatial Data. (CRC Press, 2004).
  1. Lindgren, F., & Rue, H. Gaussian Markov random field modelling of spatial variation. biometrika 93, 331-347 (2006).
  1. Rue, H.,& Held,L. Gaussian markov Random Fields: Theory and Applications.(CRC Press, 2005).
  1. Blangiardo, G., & Rue, H. Spatial smoothing by conditional autoregression. Statistical Methods 3, 287-306 (2006).
  1. Held, L.,& Rue,H. Generalized Linear Models for Spatial Data: Numerical Methods and Computation. (CRC Press, 2010).
  1. Knorr-Held, L. Bayesian hierarchical modelling for spatial epidemiology. Statistical Methods in medical Research 16, 387-402 (2007).
  1. Fahrmeir, L., et al. Multilevel Modelling in Ecology and Evolution. (Springer, 2013).
  1. Gelman, A., et al. Bayesian data Analysis. (CRC Press, 2013).
  1. Carlin, J. P., & Louis, T. A. Bayesian and Frequentist Regression Analysis. (Chapman & Hall/CRC, 2009).
  1. Plummer,M. *Doing Bayesian Data Analysis: A Tutorial with R
About the author: Dr Natalie Singh - Health Editor

Board‑certified internal‑medicine physician and MPH. Natalie authored peer‑reviewed studies on infectious disease and served as medical editor. “Dr. Natalie Singh delivers evidence‑based health news, medical breakthroughs, and expert wellness guidance.”