Miller E, Cradockwatson JE, Pollock TM. Consequences of confirmed maternal rubella at successive stages of pregnancy. Lancet
1982; 2: 781–784.
Reef S, Plotkin S. Rubella vaccines. In: Plotkin S, Orenstein W, Offit P, eds. Vaccines, 6th edn. Philadelphia, PA: Elsevier, 2013, pp. 688–717, chapter 31.
Figueroa P, et al. XXII technical advisory group on Vaccine-Preventable Diseases (TAG) meeting. Technical report, Pan American Health Organization (PAHO), Washington, DC, 2014.
Vynnycky E, et al.
Using seroprevalence and immunisation coverage data to estimate the global burden of congenital rubella syndrome, 1996–2010: a systematic review. PLoS ONE
2016; 11: e0149160.
Knox E. Strategy for rubella vaccination. International Journal of Epidemiology
1980; 9: 13–23.
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.
Morice A, et al.
Accelerated rubella control and congenital rubella syndrome prevention strengthen measles eradication: the Costa Rican experience. Journal of Emerging Infectious Diseases
2003; 187(Suppl. 1): S158–S163.
Jimenez G, et al.
Estimating the burden of congenital rubella syndrome in Costa Rica, 1996–2001. Pediatric Infectious Disease Journal
2007; 26: 382–386.
Metcalf C, et al.
Impact of birth rate, seasonality and transmission rate on minimum levels of coverage needed for rubella vaccination. Epidemiology and Infection
2012; 140: 2290–2301.
Lessler J, Metcalf C. Balancing evidence and uncertainty when considering rubella vaccine introduction. PLoS ONE
2013; 8: e67639.
World Health Organization. Rubella vaccines: WHO position paper. Weekly Epidemiological Record
2011; 86: 301–316.
Klepac P, et al.
Stage-structured transmission of phocine distemper virus in the Dutch 2002 outbreak. Proceedings of the Royal Society of London. Series B (Biological Sciences)
2009; 276: 2469–2476.
Klepac P, Caswell H. The stage-structured epidemic: linking disease and demography with a multi-state matrix approach model. Theoretical Ecology
2011; 4: 301–319.
Metcalf C, et al.
Structured models of infectious disease: inference with discrete data. Theoretical Population Biology
2012; 82: 275–282.
Anderson R, May R. Infectious Diseases of Humans: Dynamics and Control. New York: Oxford University Press, 1991.
Cutts F, et al.
Sero-epidemiology of rubella in the urban population of Addis Ababa, Ethiopia. Epidemiology and Infection
2000; 124: 467–479.
Edmunds W, et al.
The pre-vaccination epidemiology of measles, mumps and rubella in Europe: implications for modeling studies. Epidemiology and Infection
2000; 125: 635–650.
Mossong J, et al.
Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Medicine
2008; 5: 381–391.
Indian Academy of Pediatrics. IAP recommendations and guidelines (http://www.iapindia.org/). Accessed 13 January 2017.
Boulianne N, et al.
Measles, mumps, and rubella antibodies in children 5–6 years after immunization: effect of vaccine type and age at vaccination. Vaccine
1995; 13: 1611–1616.
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.
R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, 2016 (https://www.R-project.org/).
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.
Farrington C, Kanaan M, Gay N. Estimation of the basic reproduction number for infectious diseases from age-stratified serological survey data. Journal of the Royal Statistical Society: Series C (Applied Statistics)
2001; 50: 251–283.
Gay N, et al.
Interpretation of serological surveillance data for measles using mathematical-models – implications for vaccine strategy. Epidemiology and Infection
1995; 115: 139–156.
Bjornstad O, Finkenstadt B, Grenfell B. Dynamics of measles epidemics: estimating scaling of transmission rates using a time series SIR model. Ecological Monographs
2002; 72: 169–184.
Andrews N, et al.
Towards elimination: measles susceptibility in Australia and 17 European countries. Bulletin of the World Health Organization
2008; 86: 197–204.
Dewan P, Gupta P. Burden of congenital rubella syndrome (CRS) in India: a systematic review. Indian Pediatrics
2012; 49: 377–399.
Strebel P, et al.
Progress toward control of rubella and prevention of congenital rubella syndrome – worldwide, 2009. Morbidity and Mortality Weekly Report
2014; 59: 1307–1310.
Ferrari M, Grenfell B, Strebel P. Think globally, act locally: the role of local demographics and vaccination coverage in the dynamic response of measles infection to control. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
2013; 368: 20120141.
Pramanik S, et al.
Vaccination coverage in India in 2011: a small area estimation approach. Vaccine
2015; 33: 1731–1738.
World Health Organization Regional office for South-East Asia. Strategic plan for measles elimination and rubella and congenital rubella syndrome control in the south-east Asia region. Report, New Delhi, 2015.
Metcalf C, et al.
Rubella metapopulation dynamics and importance of spatial coupling to the risk of congenital rubella syndrome in Peru. Journal of the Royal Society Interface
2011; 8: 369–376.
Aron J. Multiple attractors in the response to a vaccination program. Theoretical Population Biology
1990; 38: 58–67.
Earn DJ, et al.
A simple model for complex dynamical transitions in epidemics. Science
2000; 287: 667–670.
Wesolowski A, et al.
Introduction of rubella-containing-vaccine to Madagascar: implications for roll-out and local elimination. Journal of the Royal Society Interface
2016; 13: 117–127.
Horby P, et al.
Social contact patterns in Vietnam and implications for the control of infectious diseases. PLoS ONE
2011; 6: e16965.
DeStefano F, et al.
Factors associated with social contacts in four communities during the 2007–2008 influenza season. Epidemiology and Infection
2011; 139: 1181–1190.
Rohani P, Zhong X, King AA. Contact network structure explains the changing epidemiology of pertussis. Science
2010; 330: 982–985.
Wallinga J, Teunis P, Kretzschmar M. Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. American Journal of Epidemiology
2006; 164: 936–944.