2005
DOI: 10.1093/aje/kwi141
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Large-Scale Comparative Analysis of Pertussis Population Dynamics: Periodicity, Synchrony, and Impact of Vaccination

Abstract: Pertussis is a worldwide infectious disease which persists despite massive vaccination campaigns that have gone on for several decades. To obtain an overall view of pertussis dynamics and the impact of vaccination, the authors performed, using the wavelet method, a comparative analysis of pertussis time series in 12 countries to detect and quantify periodicity and synchrony between them. Results showed a clear 3- to 4-year cycle in all countries, but the main finding was that this periodicity was transient. No… Show more

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Cited by 59 publications
(79 citation statements)
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“…Several explanations have been suggested, including the occurrence of pertussis outbreaks, or the two-to five-year cycles of increasing and decreasing incidence. This periodicity is transient, differs from one country to another, and may result from an increase in the size of susceptible populations or changes in vaccination coverage [31]. Other possible causes are low vaccination coverage that hinders optimal vaccine effectiveness, waning vaccine-induced immunity in adolescent and adult populations who had received whole-cell or acellular vaccines without subsequent boosters, B. pertussis adaptation (antigenic divergence of circulating and vaccine strains), and the presence of asymptomatic transmitters, which potentially biases the estimation of vaccine effectiveness [2,4,5,[28][29][30][31][32][33][34].…”
Section: Incidence Of Pertussis Infectionmentioning
confidence: 99%
See 1 more Smart Citation
“…Several explanations have been suggested, including the occurrence of pertussis outbreaks, or the two-to five-year cycles of increasing and decreasing incidence. This periodicity is transient, differs from one country to another, and may result from an increase in the size of susceptible populations or changes in vaccination coverage [31]. Other possible causes are low vaccination coverage that hinders optimal vaccine effectiveness, waning vaccine-induced immunity in adolescent and adult populations who had received whole-cell or acellular vaccines without subsequent boosters, B. pertussis adaptation (antigenic divergence of circulating and vaccine strains), and the presence of asymptomatic transmitters, which potentially biases the estimation of vaccine effectiveness [2,4,5,[28][29][30][31][32][33][34].…”
Section: Incidence Of Pertussis Infectionmentioning
confidence: 99%
“…Other possible causes are low vaccination coverage that hinders optimal vaccine effectiveness, waning vaccine-induced immunity in adolescent and adult populations who had received whole-cell or acellular vaccines without subsequent boosters, B. pertussis adaptation (antigenic divergence of circulating and vaccine strains), and the presence of asymptomatic transmitters, which potentially biases the estimation of vaccine effectiveness [2,4,5,[28][29][30][31][32][33][34]. The resurgence of pertussis has also been attributed, at least in part, to increased routine use of real-time PCR and more sensitive serologic assays (real-time PCR was introduced in Algeria in 2012), and increased awareness of clinicians [2,4,5,[28][29][30][31][32].…”
Section: Incidence Of Pertussis Infectionmentioning
confidence: 99%
“…By contrast, the longer generation time of pertussis and important stochastic transients lead to longer period multi-annual cycles (Rohani et al 1999). Generally 3-4 year cycles are observed (Broutin et al 2005). The dynamics of the remaining infections are less well characterized in the literature.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, spectral techniques (see Technical Appendix for a brief description of these techniques) have been used to explore the periodicity of smallpox [10] and cholera [14]. Wavelet analysis has been used to study epidemiological time-series for measles [15], pertussis [16] and cholera [17]. Time series models based on the autoregressive integrated moving-average method (i.e., the Box-Jenkins models [18]) have been used to analyze syphilis and gonorrhea surveillance data [11,19] and childhood infectious diseases data [20].…”
Section: Methodology For Identifying Epidemic Cyclesmentioning
confidence: 99%