Literature DB >> 20843389

The epidemiology of rubella in Mexico: seasonality, stochasticity and regional variation.

C J E Metcalf1, O N Bjørnstad1, M J Ferrari1, P Klepac1, N Bharti1, H Lopez-Gatell2, B T Grenfell3.   

Abstract

The factors underlying the temporal dynamics of rubella outside of Europe and North America are not well known. Here we used 20 years of incidence reports from Mexico to identify variation in seasonal forcing and magnitude of transmission across the country and to explore determinants of inter-annual variability in epidemic magnitude in rubella. We found considerable regional variation in both magnitude of transmission and amplitude of seasonal variation in transmission. Several lines of evidence pointed to stochastic dynamics as an important driver of multi-annual cycles. Since average age of infection increased with the relative importance of stochastic dynamics, this conclusion has implications for the burden of congenital rubella syndrome. We discuss factors underlying regional variation, and implications of the importance of stochasticity for vaccination implementation.

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Year:  2010        PMID: 20843389      PMCID: PMC3884048          DOI: 10.1017/S0950268810002165

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  23 in total

1.  A simple model for complex dynamical transitions in epidemics.

Authors:  D J Earn; P Rohani; B M Bolker; B T Grenfell
Journal:  Science       Date:  2000-01-28       Impact factor: 47.728

2.  Unseen blindness, unheard deafness, and unrecorded death and disability: congenital rubella in Kumasi, Ghana.

Authors:  J E Lawn; S Reef; B Baffoe-Bonnie; S Adadevoh; E O Caul; G E Griffin
Journal:  Am J Public Health       Date:  2000-10       Impact factor: 9.308

3.  Interpreting time-series analyses for continuous-time biological models--measles as a case study.

Authors:  K Glass; Y Xia; B T Grenfell
Journal:  J Theor Biol       Date:  2003-07-07       Impact factor: 2.691

4.  Transients and attractors in epidemics.

Authors:  Chris T Bauch; David J D Earn
Journal:  Proc Biol Sci       Date:  2003-08-07       Impact factor: 5.349

Review 5.  Increase in congenital rubella occurrence after immunisation in Greece: retrospective survey and systematic review.

Authors:  T Panagiotopoulos; I Antoniadou; E Valassi-Adam
Journal:  BMJ       Date:  1999-12-04

6.  Modelling the incidence of congenital rubella syndrome in developing countries.

Authors:  F T Cutts; E Vynnycky
Journal:  Int J Epidemiol       Date:  1999-12       Impact factor: 7.196

Review 7.  Rubella eradication.

Authors:  S A Plotkin
Journal:  Vaccine       Date:  2001-05-14       Impact factor: 3.641

8.  Episodic outbreaks bias estimates of age-specific force of infection: a corrected method using measles as an example.

Authors:  M J Ferrari; A Djibo; R F Grais; B T Grenfell; O N Bjørnstad
Journal:  Epidemiol Infect       Date:  2009-06-19       Impact factor: 2.451

9.  The predicted impact of private sector MMR vaccination on the burden of Congenital Rubella Syndrome.

Authors:  E Vynnycky; N J Gay; F T Cutts
Journal:  Vaccine       Date:  2003-06-20       Impact factor: 3.641

10.  Rubella metapopulation dynamics and importance of spatial coupling to the risk of congenital rubella syndrome in Peru.

Authors:  C J E Metcalf; C V Munayco; G Chowell; B T Grenfell; O N Bjørnstad
Journal:  J R Soc Interface       Date:  2010-07-21       Impact factor: 4.118

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  28 in total

1.  Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data.

Authors:  Amy Wesolowski; C J E Metcalf; Nathan Eagle; Janeth Kombich; Bryan T Grenfell; Ottar N Bjørnstad; Justin Lessler; Andrew J Tatem; Caroline O Buckee
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-17       Impact factor: 11.205

2.  Comparative dynamics, seasonality in transmission, and predictability of childhood infections in Mexico.

Authors:  A S Mahmud; C J E Metcalf; B T Grenfell
Journal:  Epidemiol Infect       Date:  2016-11-22       Impact factor: 2.451

3.  Estimating drivers of autochthonous transmission of chikungunya virus in its invasion of the americas.

Authors:  T Alex Perkins; C Jessica E Metcalf; Bryan T Grenfell; Andrew J Tatem
Journal:  PLoS Curr       Date:  2015-02-10

Review 4.  Seasonal Population Movements and the Surveillance and Control of Infectious Diseases.

Authors:  Caroline O Buckee; Andrew J Tatem; C Jessica E Metcalf
Journal:  Trends Parasitol       Date:  2016-11-16

5.  Structured models of infectious disease: inference with discrete data.

Authors:  C J E Metcalf; J Lessler; P Klepac; A Morice; B T Grenfell; O N Bjørnstad
Journal:  Theor Popul Biol       Date:  2011-12-09       Impact factor: 1.570

6.  COVID-19 Pandemic Data Modeling in Pakistan Using Time-Series SIR.

Authors:  Muhammad Taimoor; Sajid Ali; Ismail Shah; Fred Roland Muwanika
Journal:  Comput Math Methods Med       Date:  2022-06-28       Impact factor: 2.809

7.  Impact of birth rate, seasonality and transmission rate on minimum levels of coverage needed for rubella vaccination.

Authors:  C J E Metcalf; J Lessler; P Klepac; F Cutts; B T Grenfell
Journal:  Epidemiol Infect       Date:  2012-02-16       Impact factor: 4.434

8.  Pathogens, social networks, and the paradox of transmission scaling.

Authors:  Matthew J Ferrari; Sarah E Perkins; Laura W Pomeroy; Ottar N Bjørnstad
Journal:  Interdiscip Perspect Infect Dis       Date:  2011-03-09

9.  Rubella metapopulation dynamics and importance of spatial coupling to the risk of congenital rubella syndrome in Peru.

Authors:  C J E Metcalf; C V Munayco; G Chowell; B T Grenfell; O N Bjørnstad
Journal:  J R Soc Interface       Date:  2010-07-21       Impact factor: 4.118

10.  Implications of spatially heterogeneous vaccination coverage for the risk of congenital rubella syndrome in South Africa.

Authors:  C J E Metcalf; C Cohen; J Lessler; J M McAnerney; G M Ntshoe; A Puren; P Klepac; A Tatem; B T Grenfell; O N Bjørnstad
Journal:  J R Soc Interface       Date:  2013-01-06       Impact factor: 4.118

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