1. Cliff, AD, Haggett, P, Smallman-Raynor, M. Measles: An Historical Geography of a Major Human Viral Disease from Global Expansion to Local Retreat, 1840–1990. Oxford: Blackwell, 1993, pp. 462.
2. Wolfson, LJ, et al. Has the 2005 measles mortality reduction goal been achieved? A natural history modelling study. Lancet 2007; 369: 191–200.
3. Edmunds, WJ, et al. The pre-vaccination epidemiology of measles, mumps and rubella in Europe: implications for modelling studies. Epidemiology and Infection 2000; 125: 635–650.
4. Enquselassie, F, et al. Seroepidemiology of measles in Addis Ababa, Ethiopia: implications for control through vaccination. Epidemiology and Infection 2003; 130: 507–519.
5. Remme, J, Mandara, MP, Leeuwenburg, J. The force of measles infection in East Africa. International Journal of Epidemiology 1984; 13: 332–339.
6. Scott, S, et al. Estimating the force of measles virus infection from hospitalised cases in Lusaka, Zambia. Vaccine 2004; 23: 732–738.
7. Griffiths, DA. A catalytic model of infection form measles. Applied Statistics 1974; 23: 330–339.
8. Muench, H. Catalytic Models in Epidemiology. Cambridge, MA: Harvard University Press, 1959, pp. 110.
9. Whitaker, HJ, Farrington, CP. Estimation of infectious disease parameters from serological survey data: the impact of regular epidemics. Statistics in Medicine 2004; 23: 2429–2443.
10. Fine, PEM, Clarkson, JA. Measles in England and Wales. 1. An analysis of factors underlying seasonal patterns. International Journal of Epidemiology 1982; 11: 5–14.
11. Grenfell, BT, Bjornstad, ON, Kappey, J. Travelling waves and spatial hierarchies in measles epidemics. Nature 2001; 414: 716–723.
12. Schaffer, WM, Kot, M. Nearly one dimensional dynamics in an epidemic. Journal of Theoretical Biology 1985; 112: 403–427.
13. Ferrari, MJ, et al. The dynamics of measles in sub-Saharan Africa. Nature 2008; 451: 679–684.
14. Anderson, RM, May, RM. Infectious Diseases of Humans: Dynamics and Control. Oxford: Oxford University Press, 1991, pp. 768.
15. Grenfell, BT, Anderson, RM. The estimation of age-related rates of infection from case notifications and serological data. Journal of Hygiene 1985; 95: 419–436.
16. CIA. World Factbook: Niger. Central Intelligence Agency, USA, 2007.
17. Gilks, W, Richardson, S, Spiegelhalter, DJ. Markov Chain Monte Carlo in Practice. London: Chapman & Hall, 1996, pp. 486.
18. Kanaan, MN, Farrington, CPA. Matrix models for childhood infections: a Bayesian approach with applications to rubella and mumps. Epidemiology and Infection 2005; 133: 1009–1021.
19. Goddard, AD. Changing family structures among rural Hausa. Africa 1973; 43: 207–218.
20. Schenzle, D. An age-structured model of pre- and post-vaccination measles transmission. IMA Journal of Mathematics Applied in Medicine and Biology 1984; 1: 169–191.
21. Bolker, BM, Grenfell, BT. Chaos and biological complexity in measles dynamics. Proceedings of the Royal Society of London, Series B: Biological Sciences 1993; 251: 75–81.
22. Grais, RF, et al. Unacceptably high mortality related to measles epidemics in Niger, Nigeria, and Chad. PLOS Medicine 2007; 4: 122–129.
23. Burstrom, B, Aaby, P, Mutie, DM. Measles in infants – a review of studies on incidence, vaccine efficacy and mortality in East Africa. East African Medical Journal 1995; 72: 155–161.
24. Kambarami, RA, et al. Measles epidemic in Harare, Zimbabwe, despite high measles immunization coverage rates. Bulletin of the World Health Organization 1991; 69: 213–219.
25. Earn, DJD, et al. A simple model for complex dynamical transitions in epidemics. Science 2000; 287: 667–670.
26. Stein, CE, et al. The global burden of measles in the year 2000 – a model that uses country-specific indicators. Journal of Infectious Diseases 2003; 187: S8–S14.