Books
 Anderson R.M. and May R.M. (1987). Infectious Diseases in Humans : Dynamics and Control, OUP. Used extensively in the church growth models. Comprehensive account.
 Bailey N.T.J. (1975). The Mathematical Theory of Infectious Diseases and its Applications, Griffen, London. Greater emphasis on mathematics, rather than epidemiology. More appealing to mathematicians.
 Smith? R.(2008). Modelling Disease Ecology with Mathematics, Institute of Mathematics.
A more condensed guide to the subject.
Papers
 Anderson R.M. (1988). The Epidemiology of HIV Infection, J. Roy. Stat. Soc.
A, 151 part 1. HIV models use the standard incidence transmission of infection which more closely matches the word of mouth mechanism in the Limited Enthusiasm Model
 Böttcher L., WoolleyMeza O., Araújo N.A.M., Herrmann H.J., & Helbing D. (2015). Diseaseinduced resource constraints can trigger explosive pandemics arXiv:1508.05484v1. How the impact of an epidemic can affect a populations ability to control the disease spread, thus creating destructive feedback. The mechanisms discussed have parallels in church growth and decline.
 Dangerfield B. & Roberts C. (1999). Optimisation as a statistical estimation
tool: An example in estimating the AIDS treatmentfree incubation
period distribution, System Dynamics Review 15: (3) 273291. A system dynamics perception on epidemic models.

 Hamer W. H. (1906).
Epidemic Disease in England, The Lancet, i, 7339. An earlier paper describing the "mass action" transmission between two people in the spread of disease.
 Hethcote H. W. (1994).
A Thousand and One Epidemic Models, in Frontiers
in Mathematical Biology, ed. S.A. Levin. Berlin: Springer Verlag. Describes both the mass action (crowd model), and standard incidence (fixed contacts model) mechanisms of person to person transmission in disease. Conversion in the Limited Enthusiasm model generally follows standard incidence, but renewal has density effects and is closer to mass action.
 Heesterbeek J.A.P. and Metz J.A.J. (1993).The saturating contact rate in marriage and epidemic models, Journal of
Mathematical Biology, 31, 529539. Proposed an alternative density dependent transmission mechanism to the Holling one. Indicates the complexity of reducing mixing and network effects to differential equation and system dynamics models.
 Kermack W.O. and McKendrick A.G. (1927). A Contribution to the Mathematical Theory
of Epidemics, Proc. Roy. Soc., A115, 700721. The first paper
on the mathematics of the spread of diseases.
 KribsZaleta C.M. (2004). To Switch or Taper Off: The Dynamics of
Saturation, Mathematical Biosciences,
326, pp 137142. Considers a density dependent transmission mechanism similar to the Holling term of population biology, and the MichaelisMenten effect of chemical kinetics. The renewal extension to the Limited Enthusiasm model of church growth (Hayward 2010) uses a similar mechanism.
 May R.M. and Anderson R.M. (1985). Endemic Infections in Growing Populations,
Math. Biosciences, 192, pp 137152.
 May R.M. and Anderson R.M. (1987). Transmission Dynamics of HIV Infection, Nature,
326, pp 137142.
 Raggett G.F. (1982). Modelling the Eyam Plague, Bulletin IMA, 18, pp 221226. A readable account of how the basic epidemic model is applied
to real data.
