1.Cutts, FT, Vynnycky, E. Modelling the incidence of congenital rubella syndrome in developing countries. International Journal of Epidemiology 1999; 28: 1176–1184.
2.Lawn, JE, et al. Unseen blindness, unheard deafness, and unrecorded death and disability: congenital rubella in Kumasi, Ghana. American Journal of Public Health 2000; 90: 1555–1561.
3.Knox, EG. Strategy for rubella vaccination. International Journal of Epidemiology 1980; 9: 13–23.
4.Anderson, RM, Grenfell, BT. Quantitative investigations of different vaccination policies for the control of congenital rubella syndrome (CRS) in the United Kingdom. Journal of Hygiene (Cambridge) 1986; 96: 305–333.
5.Anderson, RM, May, RM. Vaccination against rubella and measles: qualitative investigations of different policies. Journal of Hygiene of Cambridge 1983; 90: 259–325.
6.Panagiotopoulos, T, Antoniadou, I, Valassi-Adam, E. Increase in congenital rubella occurrence after immunisation in Greece: retrospective survey and systematic review. British Medical Journal 1999; 319: 1462–1467.
7.Massad, E, et al. A model-based design of a vaccination strategy against rubella in a non-immunized community of Sao Paulo State, Brazil. Epidemiology and Infection 1994; 112: 579–594.
8.Robertson, SE, et al. Control of rubella and congenital rubella syndrome (CRS) in developing countries, part 2: vaccination against rubella. Bulletin of the World Health Organization 1997; 75: 69–80.
9.Vynnycky, E, Gay, NJ, Cutts, FT. The predicted impact of private sector MMR vaccination on the burden of Congenital Rubella Syndrome. Vaccine 2003; 21: 2708–2719.
10.Ferrari, MJ, et al. Episodic outbreaks bias estimates of age specific force of infection: a corrected method using measles in Niamey, Niger as an example. Epidemiology and Infection 2010; 138: 108–116.
11.Metcalf, CJE, et al. Rubella meta-population dynamics and importance of spatial coupling to the risk of congenital rubella syndrome in Peru. Journal of the Royal Society Interface (in press).
12.Wolfson, LJ, et al. Has the 2005 measles mortality reduction goal been achieved? A natural history modelling study. Lancet 2007; 369: 191–200.
13.Plotkin, SA. Rubella eradication. Vaccine 2001; 19: 3311–3319.
14.Anderson, RM, May, RM. Infectious Diseases of Humans. Oxford: Oxford University Press, 1991.
15.Fine, PEM, Clarkson, JA. Seasonal influences on pertussis. International Journal of Epidemiology 1986; 15: 237–247.
16.Bartlett, MS. Measles periodicity and community size. Journal of the Royal Statistical Society, Series A (General) 1957; 121: 48–70.
17.Vargas, MH. Ecological association between scarlet fever and asthma. Respiratory Medicine 2006; 100: 363–366.
18.Santos, JI, et al. Measles in Mexico, 1941–2001: interruption of endemic transmission and lessons learned. Journal of Infectious Diseases 2004; 189: S243–S250.
19.Bauch, CT, Earn, DJD. Transients and attractors in epidemics. Proceedings of the Royal Society of London, Series B 2003; 270: 1573–1578.
20.Bjørnstad, ON, Finkenstadt, B, Grenfell, BT. Endemic and epidemic dynamics of measles: Estimating epidemiological scaling with a time series SIR model. Ecological Monographs 2002; 72: 169–184.
21.Dirección General de Epidemiología. Yearly Morbidity Report. México, 2008.
22.National Institute of Statistics and Geography. Statistical Information>Source/Project>Administrative records>Vital statistics>Birth Statistics>Interactive data query, 2008.
23.McLean, AR, Anderson, RM. Measles in developing countries. Part I: Epidemiological parameters and patterns. Epidemiology and Infection 1988; 100: 111–133.
24.Farrington, CP, Kanaan, MN, Gay, NJ. Estimation of the basic reproduction number for infectious diseases from age-stratified serological survey data. Applied Statistics 2001; 50: 251–292.
25.Venables, WN, Ripley, BD. Modern Applied Statistics with S. New York: Springer, 2003.
26.Ferrari, MJ, et al. The dynamics of measles in sub-Saharan Africa. Nature 2008; 451: 679–684.
27.Finkenstadt, B, Grenfell, BT. Time series modelling of childhood diseases: a dynamical systems approach. Journal of the Royal Statistical Society, Series C 2000; 49: 187–205.
28.Glass, K, Xia, Y, Grenfell, BT. Interpreting time-series analyses for continuous-time biological models-measles as a case study. Journal of Theoretical Biology 2003; 223: 19–25.
29.Trujillo, GG, Munoz, O, Tapia-Conyer, R. Seroepidemiology of rubella in Mexican women. National Survey of Public Health Probabilities in Mexico 1990; 32: 623–631.
30.Rios-Doria, D, et al. Spatial and temporal dynamics of rubella in Peru, 1997–2006: geographic patterns, age at infection and estimation of transmissibility. In: Chowell, EA, ed. Mathematical and Statistical Estimation Approaches in Epidemiology. Springer: Netherlands, 2009.
31.Golubjatnikov, R, Elsea, WR, Leppla, L. Measles and rubella hemagglutination-inhibition antibody patterns in Mexican and Paraguayan children. American Journal of Tropical Medicine and Hygiene 1971; 20: 958–963.
32.Earn, DJD, et al. A simple model for complex dynamical transitions in epidemics. Nature 2000; 287: 667–670.
33.Keeling, MJ, Rohani, P, Grenfell, BT. Seasonally forced disease dynamics explored as switching between attractors. Physica D 2001; 148: 317–335.