Literature DB >> 19740885

Seasonality and comparative dynamics of six childhood infections in pre-vaccination Copenhagen.

C Jessica E Metcalf1, Ottar N Bjørnstad, Bryan T Grenfell, Viggo Andreasen.   

Abstract

Seasonal variation in infection transmission is a key determinant of epidemic dynamics of acute infections. For measles, the best-understood strongly immunizing directly transmitted childhood infection, the perception is that term-time forcing is the main driver of seasonality in developed countries. The degree to which this holds true across other acute immunizing childhood infections is not clear. Here, we identify seasonal transmission patterns using a unique long-term dataset with weekly incidence of six infections including measles. Data on age-incidence allow us to quantify the mean age of infection. Results indicate correspondence between dips in transmission and school holidays for some infections, but there are puzzling discrepancies, despite close correspondence between average age of infection and age of schooling. Theoretical predictions of the relationship between amplitude of seasonality and basic reproductive rate of infections that should result from term-time forcing are also not upheld. We conclude that where yearly trajectories of susceptible numbers are perturbed, e.g. via waning of immunity, seasonality is unlikely to be entirely driven by term-time forcing. For the three bacterial infections, pertussis, scarlet fever and diphtheria, there is additionally a strong increase in transmission during the late summer before the end of school vacations.

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Year:  2009        PMID: 19740885      PMCID: PMC2821338          DOI: 10.1098/rspb.2009.1058

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  17 in total

Review 1.  The changing epidemiology of diphtheria in the vaccine era.

Authors:  A Galazka
Journal:  J Infect Dis       Date:  2000-02       Impact factor: 5.226

2.  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

3.  Opposite patterns of synchrony in sympatric disease metapopulations.

Authors:  P Rohani; D J Earn; B T Grenfell
Journal:  Science       Date:  1999-10-29       Impact factor: 47.728

4.  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

5.  A stochastic model for extinction and recurrence of epidemics: estimation and inference for measles outbreaks.

Authors:  Bärbel F Finkenstädt; Ottar N Bjørnstad; Bryan T Grenfell
Journal:  Biostatistics       Date:  2002-12       Impact factor: 5.899

Review 6.  Seasonality and the dynamics of infectious diseases.

Authors:  Sonia Altizer; Andrew Dobson; Parviez Hosseini; Peter Hudson; Mercedes Pascual; Pejman Rohani
Journal:  Ecol Lett       Date:  2006-04       Impact factor: 9.492

7.  Epidemiological features and control of an outbreak of scarlet fever in a Perth primary school.

Authors:  Kynan T Feeney; Gary K Dowse; Anthony D Keil; Christine Mackaay; Duncan McLellan
Journal:  Commun Dis Intell Q Rep       Date:  2005

8.  Large-scale comparative analysis of pertussis population dynamics: periodicity, synchrony, and impact of vaccination.

Authors:  Hélène Broutin; Jean-François Guégan; Eric Elguero; François Simondon; Bernard Cazelles
Journal:  Am J Epidemiol       Date:  2005-06-15       Impact factor: 4.897

9.  Seasonal infectious disease epidemiology.

Authors:  Nicholas C Grassly; Christophe Fraser
Journal:  Proc Biol Sci       Date:  2006-10-07       Impact factor: 5.349

10.  Influenza virus transmission is dependent on relative humidity and temperature.

Authors:  Anice C Lowen; Samira Mubareka; John Steel; Peter Palese
Journal:  PLoS Pathog       Date:  2007-10-19       Impact factor: 6.823

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  56 in total

1.  Modelling seasonal variations in the age and incidence of Kawasaki disease to explore possible infectious aetiologies.

Authors:  Virginia E Pitzer; David Burgner; Cécile Viboud; Lone Simonsen; Viggo Andreasen; Claudia A Steiner; Marc Lipsitch
Journal:  Proc Biol Sci       Date:  2012-03-07       Impact factor: 5.349

2.  Impact of cross-protective vaccines on epidemiological and evolutionary dynamics of influenza.

Authors:  Nimalan Arinaminpathy; Oliver Ratmann; Katia Koelle; Suzanne L Epstein; Graeme E Price; Cecile Viboud; Mark A Miller; Bryan T Grenfell
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-07       Impact factor: 11.205

3.  Modelling the long-term dynamics of pre-vaccination pertussis.

Authors:  Ganna Rozhnova; Ana Nunes
Journal:  J R Soc Interface       Date:  2012-06-20       Impact factor: 4.118

4.  Parameterizing state-space models for infectious disease dynamics by generalized profiling: measles in Ontario.

Authors:  Giles Hooker; Stephen P Ellner; Laura De Vargas Roditi; David J D Earn
Journal:  J R Soc Interface       Date:  2010-11-17       Impact factor: 4.118

5.  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

6.  Gradual changes in the age distribution of excess deaths in the years following the 1918 influenza pandemic in Copenhagen: using epidemiological evidence to detect antigenic drift.

Authors:  Neslihan Saglanmak; Viggo Andreasen; Lone Simonsen; Kåre Mølbak; Mark A Miller; Cécile Viboud
Journal:  Vaccine       Date:  2011-07-22       Impact factor: 3.641

7.  Stochastic environmental fluctuations drive epidemiology in experimental host-parasite metapopulations.

Authors:  Alison B Duncan; Andrew Gonzalez; Oliver Kaltz
Journal:  Proc Biol Sci       Date:  2013-08-21       Impact factor: 5.349

8.  Stochastic epidemic models with random environment: quasi-stationarity, extinction and final size.

Authors:  J R Artalejo; A Economou; M J Lopez-Herrero
Journal:  J Math Biol       Date:  2012-08-15       Impact factor: 2.259

9.  Age-structure and transient dynamics in epidemiological systems.

Authors:  F M G Magpantay; A A King; P Rohani
Journal:  J R Soc Interface       Date:  2019-07-31       Impact factor: 4.118

Review 10.  Resolving pertussis immunity and vaccine effectiveness using incidence time series.

Authors:  Jennie S Lavine; Pejman Rohani
Journal:  Expert Rev Vaccines       Date:  2012-11       Impact factor: 5.217

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