S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools

Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Cauchemez, Simon [verfasserIn] Temime, Laura Valleron, Alain-Jacques Varon, Emmanuelle Thomas, Guy Guillemot, Didier Boëlle, Pierre-Yves

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2006

Schlagwörter:	Markov Chain Monte Carlo Credible Interval Conjugate Vaccine Markov Chain Monte Carlo Algorithm Markov Chain Monte Carlo Sampling

Anmerkung:	© Cauchemez et al; licensee BioMed Central Ltd. 2006. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (

Übergeordnetes Werk:	Enthalten in: BMC infectious diseases - London : BioMed Central, 2001, 6(2006), 1 vom: 30. Jan.
Übergeordnetes Werk:	volume:6 ; year:2006 ; number:1 ; day:30 ; month:01

Links:	Volltext

DOI / URN:	10.1186/1471-2334-6-14

Katalog-ID:	SPR027691659

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520			\|a Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics. Methods Here, some of these characteristics were estimated for vaccine and non-vaccine serotypes from the follow-up of 4,488 schoolchildren in France in 2000. A Bayesian approach using Markov chain Monte Carlo data augmentation techniques was used for estimation. Results Vaccine and non-vaccine serotypes were found to have similar characteristics: the mean duration of carriage was 23 days (95% credible interval (CI): 21, 25 days) for vaccine serotypes and 22 days (95% CI: 20, 24 days) for non-vaccine serotypes; within a school of size 100, the Secondary Attack Rate was 1.1% (95% CI: 1.0%, 1.2%) for both vaccine and non-vaccine serotypes. Conclusion This study supports that, in 3–6 years old children, no competitive advantage exists for vaccine serotypes compared to non-vaccine serotypes. This is an argument in favour of important serotype replacement. It would be important to validate the result for infants, who are known to be the main reservoir in maintaining transmission. Overall reduction in pathogenicity should also be taken into account in forecasting the future burden of pneumococcal colonization in vaccinated populations.
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700	1		\|a Temime, Laura \|4 aut
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allfields	10.1186/1471-2334-6-14 doi (DE-627)SPR027691659 (SPR)1471-2334-6-14-e DE-627 ger DE-627 rakwb eng Cauchemez, Simon verfasserin aut S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Cauchemez et al; licensee BioMed Central Ltd. 2006. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics. Methods Here, some of these characteristics were estimated for vaccine and non-vaccine serotypes from the follow-up of 4,488 schoolchildren in France in 2000. A Bayesian approach using Markov chain Monte Carlo data augmentation techniques was used for estimation. Results Vaccine and non-vaccine serotypes were found to have similar characteristics: the mean duration of carriage was 23 days (95% credible interval (CI): 21, 25 days) for vaccine serotypes and 22 days (95% CI: 20, 24 days) for non-vaccine serotypes; within a school of size 100, the Secondary Attack Rate was 1.1% (95% CI: 1.0%, 1.2%) for both vaccine and non-vaccine serotypes. Conclusion This study supports that, in 3–6 years old children, no competitive advantage exists for vaccine serotypes compared to non-vaccine serotypes. This is an argument in favour of important serotype replacement. It would be important to validate the result for infants, who are known to be the main reservoir in maintaining transmission. Overall reduction in pathogenicity should also be taken into account in forecasting the future burden of pneumococcal colonization in vaccinated populations. Markov Chain Monte Carlo (dpeaa)DE-He213 Credible Interval (dpeaa)DE-He213 Conjugate Vaccine (dpeaa)DE-He213 Markov Chain Monte Carlo Algorithm (dpeaa)DE-He213 Markov Chain Monte Carlo Sampling (dpeaa)DE-He213 Temime, Laura aut Valleron, Alain-Jacques aut Varon, Emmanuelle aut Thomas, Guy aut Guillemot, Didier aut Boëlle, Pierre-Yves aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 6(2006), 1 vom: 30. Jan. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:6 year:2006 number:1 day:30 month:01 https://dx.doi.org/10.1186/1471-2334-6-14 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2006 1 30 01
spelling	10.1186/1471-2334-6-14 doi (DE-627)SPR027691659 (SPR)1471-2334-6-14-e DE-627 ger DE-627 rakwb eng Cauchemez, Simon verfasserin aut S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Cauchemez et al; licensee BioMed Central Ltd. 2006. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics. Methods Here, some of these characteristics were estimated for vaccine and non-vaccine serotypes from the follow-up of 4,488 schoolchildren in France in 2000. A Bayesian approach using Markov chain Monte Carlo data augmentation techniques was used for estimation. Results Vaccine and non-vaccine serotypes were found to have similar characteristics: the mean duration of carriage was 23 days (95% credible interval (CI): 21, 25 days) for vaccine serotypes and 22 days (95% CI: 20, 24 days) for non-vaccine serotypes; within a school of size 100, the Secondary Attack Rate was 1.1% (95% CI: 1.0%, 1.2%) for both vaccine and non-vaccine serotypes. Conclusion This study supports that, in 3–6 years old children, no competitive advantage exists for vaccine serotypes compared to non-vaccine serotypes. This is an argument in favour of important serotype replacement. It would be important to validate the result for infants, who are known to be the main reservoir in maintaining transmission. Overall reduction in pathogenicity should also be taken into account in forecasting the future burden of pneumococcal colonization in vaccinated populations. Markov Chain Monte Carlo (dpeaa)DE-He213 Credible Interval (dpeaa)DE-He213 Conjugate Vaccine (dpeaa)DE-He213 Markov Chain Monte Carlo Algorithm (dpeaa)DE-He213 Markov Chain Monte Carlo Sampling (dpeaa)DE-He213 Temime, Laura aut Valleron, Alain-Jacques aut Varon, Emmanuelle aut Thomas, Guy aut Guillemot, Didier aut Boëlle, Pierre-Yves aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 6(2006), 1 vom: 30. Jan. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:6 year:2006 number:1 day:30 month:01 https://dx.doi.org/10.1186/1471-2334-6-14 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2006 1 30 01
allfields_unstemmed	10.1186/1471-2334-6-14 doi (DE-627)SPR027691659 (SPR)1471-2334-6-14-e DE-627 ger DE-627 rakwb eng Cauchemez, Simon verfasserin aut S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Cauchemez et al; licensee BioMed Central Ltd. 2006. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics. Methods Here, some of these characteristics were estimated for vaccine and non-vaccine serotypes from the follow-up of 4,488 schoolchildren in France in 2000. A Bayesian approach using Markov chain Monte Carlo data augmentation techniques was used for estimation. Results Vaccine and non-vaccine serotypes were found to have similar characteristics: the mean duration of carriage was 23 days (95% credible interval (CI): 21, 25 days) for vaccine serotypes and 22 days (95% CI: 20, 24 days) for non-vaccine serotypes; within a school of size 100, the Secondary Attack Rate was 1.1% (95% CI: 1.0%, 1.2%) for both vaccine and non-vaccine serotypes. Conclusion This study supports that, in 3–6 years old children, no competitive advantage exists for vaccine serotypes compared to non-vaccine serotypes. This is an argument in favour of important serotype replacement. It would be important to validate the result for infants, who are known to be the main reservoir in maintaining transmission. Overall reduction in pathogenicity should also be taken into account in forecasting the future burden of pneumococcal colonization in vaccinated populations. Markov Chain Monte Carlo (dpeaa)DE-He213 Credible Interval (dpeaa)DE-He213 Conjugate Vaccine (dpeaa)DE-He213 Markov Chain Monte Carlo Algorithm (dpeaa)DE-He213 Markov Chain Monte Carlo Sampling (dpeaa)DE-He213 Temime, Laura aut Valleron, Alain-Jacques aut Varon, Emmanuelle aut Thomas, Guy aut Guillemot, Didier aut Boëlle, Pierre-Yves aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 6(2006), 1 vom: 30. Jan. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:6 year:2006 number:1 day:30 month:01 https://dx.doi.org/10.1186/1471-2334-6-14 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2006 1 30 01
allfieldsGer	10.1186/1471-2334-6-14 doi (DE-627)SPR027691659 (SPR)1471-2334-6-14-e DE-627 ger DE-627 rakwb eng Cauchemez, Simon verfasserin aut S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Cauchemez et al; licensee BioMed Central Ltd. 2006. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics. Methods Here, some of these characteristics were estimated for vaccine and non-vaccine serotypes from the follow-up of 4,488 schoolchildren in France in 2000. A Bayesian approach using Markov chain Monte Carlo data augmentation techniques was used for estimation. Results Vaccine and non-vaccine serotypes were found to have similar characteristics: the mean duration of carriage was 23 days (95% credible interval (CI): 21, 25 days) for vaccine serotypes and 22 days (95% CI: 20, 24 days) for non-vaccine serotypes; within a school of size 100, the Secondary Attack Rate was 1.1% (95% CI: 1.0%, 1.2%) for both vaccine and non-vaccine serotypes. Conclusion This study supports that, in 3–6 years old children, no competitive advantage exists for vaccine serotypes compared to non-vaccine serotypes. This is an argument in favour of important serotype replacement. It would be important to validate the result for infants, who are known to be the main reservoir in maintaining transmission. Overall reduction in pathogenicity should also be taken into account in forecasting the future burden of pneumococcal colonization in vaccinated populations. Markov Chain Monte Carlo (dpeaa)DE-He213 Credible Interval (dpeaa)DE-He213 Conjugate Vaccine (dpeaa)DE-He213 Markov Chain Monte Carlo Algorithm (dpeaa)DE-He213 Markov Chain Monte Carlo Sampling (dpeaa)DE-He213 Temime, Laura aut Valleron, Alain-Jacques aut Varon, Emmanuelle aut Thomas, Guy aut Guillemot, Didier aut Boëlle, Pierre-Yves aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 6(2006), 1 vom: 30. Jan. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:6 year:2006 number:1 day:30 month:01 https://dx.doi.org/10.1186/1471-2334-6-14 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2006 1 30 01
allfieldsSound	10.1186/1471-2334-6-14 doi (DE-627)SPR027691659 (SPR)1471-2334-6-14-e DE-627 ger DE-627 rakwb eng Cauchemez, Simon verfasserin aut S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Cauchemez et al; licensee BioMed Central Ltd. 2006. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics. Methods Here, some of these characteristics were estimated for vaccine and non-vaccine serotypes from the follow-up of 4,488 schoolchildren in France in 2000. A Bayesian approach using Markov chain Monte Carlo data augmentation techniques was used for estimation. Results Vaccine and non-vaccine serotypes were found to have similar characteristics: the mean duration of carriage was 23 days (95% credible interval (CI): 21, 25 days) for vaccine serotypes and 22 days (95% CI: 20, 24 days) for non-vaccine serotypes; within a school of size 100, the Secondary Attack Rate was 1.1% (95% CI: 1.0%, 1.2%) for both vaccine and non-vaccine serotypes. Conclusion This study supports that, in 3–6 years old children, no competitive advantage exists for vaccine serotypes compared to non-vaccine serotypes. This is an argument in favour of important serotype replacement. It would be important to validate the result for infants, who are known to be the main reservoir in maintaining transmission. Overall reduction in pathogenicity should also be taken into account in forecasting the future burden of pneumococcal colonization in vaccinated populations. Markov Chain Monte Carlo (dpeaa)DE-He213 Credible Interval (dpeaa)DE-He213 Conjugate Vaccine (dpeaa)DE-He213 Markov Chain Monte Carlo Algorithm (dpeaa)DE-He213 Markov Chain Monte Carlo Sampling (dpeaa)DE-He213 Temime, Laura aut Valleron, Alain-Jacques aut Varon, Emmanuelle aut Thomas, Guy aut Guillemot, Didier aut Boëlle, Pierre-Yves aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 6(2006), 1 vom: 30. Jan. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:6 year:2006 number:1 day:30 month:01 https://dx.doi.org/10.1186/1471-2334-6-14 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2006 1 30 01
language	English
source	Enthalten in BMC infectious diseases 6(2006), 1 vom: 30. Jan. volume:6 year:2006 number:1 day:30 month:01
sourceStr	Enthalten in BMC infectious diseases 6(2006), 1 vom: 30. Jan. volume:6 year:2006 number:1 day:30 month:01
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Markov Chain Monte Carlo Credible Interval Conjugate Vaccine Markov Chain Monte Carlo Algorithm Markov Chain Monte Carlo Sampling
isfreeaccess_bool	false
container_title	BMC infectious diseases
authorswithroles_txt_mv	Cauchemez, Simon @@aut@@ Temime, Laura @@aut@@ Valleron, Alain-Jacques @@aut@@ Varon, Emmanuelle @@aut@@ Thomas, Guy @@aut@@ Guillemot, Didier @@aut@@ Boëlle, Pierre-Yves @@aut@@
publishDateDaySort_date	2006-01-30T00:00:00Z
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id	SPR027691659
language_de	englisch
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author	Cauchemez, Simon
spellingShingle	Cauchemez, Simon misc Markov Chain Monte Carlo misc Credible Interval misc Conjugate Vaccine misc Markov Chain Monte Carlo Algorithm misc Markov Chain Monte Carlo Sampling S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools
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topic_title	S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools Markov Chain Monte Carlo (dpeaa)DE-He213 Credible Interval (dpeaa)DE-He213 Conjugate Vaccine (dpeaa)DE-He213 Markov Chain Monte Carlo Algorithm (dpeaa)DE-He213 Markov Chain Monte Carlo Sampling (dpeaa)DE-He213
topic	misc Markov Chain Monte Carlo misc Credible Interval misc Conjugate Vaccine misc Markov Chain Monte Carlo Algorithm misc Markov Chain Monte Carlo Sampling
topic_unstemmed	misc Markov Chain Monte Carlo misc Credible Interval misc Conjugate Vaccine misc Markov Chain Monte Carlo Algorithm misc Markov Chain Monte Carlo Sampling
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title	S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools
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title_full	S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools
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author_browse	Cauchemez, Simon Temime, Laura Valleron, Alain-Jacques Varon, Emmanuelle Thomas, Guy Guillemot, Didier Boëlle, Pierre-Yves
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title_sort	s. pneumoniaetransmission according to inclusion in conjugate vaccines: bayesian analysis of a longitudinal follow-up in schools
title_auth	S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools
abstract	Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics. Methods Here, some of these characteristics were estimated for vaccine and non-vaccine serotypes from the follow-up of 4,488 schoolchildren in France in 2000. A Bayesian approach using Markov chain Monte Carlo data augmentation techniques was used for estimation. Results Vaccine and non-vaccine serotypes were found to have similar characteristics: the mean duration of carriage was 23 days (95% credible interval (CI): 21, 25 days) for vaccine serotypes and 22 days (95% CI: 20, 24 days) for non-vaccine serotypes; within a school of size 100, the Secondary Attack Rate was 1.1% (95% CI: 1.0%, 1.2%) for both vaccine and non-vaccine serotypes. Conclusion This study supports that, in 3–6 years old children, no competitive advantage exists for vaccine serotypes compared to non-vaccine serotypes. This is an argument in favour of important serotype replacement. It would be important to validate the result for infants, who are known to be the main reservoir in maintaining transmission. Overall reduction in pathogenicity should also be taken into account in forecasting the future burden of pneumococcal colonization in vaccinated populations. © Cauchemez et al; licensee BioMed Central Ltd. 2006. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstractGer	Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics. Methods Here, some of these characteristics were estimated for vaccine and non-vaccine serotypes from the follow-up of 4,488 schoolchildren in France in 2000. A Bayesian approach using Markov chain Monte Carlo data augmentation techniques was used for estimation. Results Vaccine and non-vaccine serotypes were found to have similar characteristics: the mean duration of carriage was 23 days (95% credible interval (CI): 21, 25 days) for vaccine serotypes and 22 days (95% CI: 20, 24 days) for non-vaccine serotypes; within a school of size 100, the Secondary Attack Rate was 1.1% (95% CI: 1.0%, 1.2%) for both vaccine and non-vaccine serotypes. Conclusion This study supports that, in 3–6 years old children, no competitive advantage exists for vaccine serotypes compared to non-vaccine serotypes. This is an argument in favour of important serotype replacement. It would be important to validate the result for infants, who are known to be the main reservoir in maintaining transmission. Overall reduction in pathogenicity should also be taken into account in forecasting the future burden of pneumococcal colonization in vaccinated populations. © Cauchemez et al; licensee BioMed Central Ltd. 2006. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstract_unstemmed	Background Recent trends of pneumococcal colonization in the United States, following the introduction of conjugate vaccination, indicate that non-vaccine serotypes tend to replace vaccine serotypes. The eventual extent of this replacement is however unknown and depends on serotype-specific carriage and transmission characteristics. Methods Here, some of these characteristics were estimated for vaccine and non-vaccine serotypes from the follow-up of 4,488 schoolchildren in France in 2000. A Bayesian approach using Markov chain Monte Carlo data augmentation techniques was used for estimation. Results Vaccine and non-vaccine serotypes were found to have similar characteristics: the mean duration of carriage was 23 days (95% credible interval (CI): 21, 25 days) for vaccine serotypes and 22 days (95% CI: 20, 24 days) for non-vaccine serotypes; within a school of size 100, the Secondary Attack Rate was 1.1% (95% CI: 1.0%, 1.2%) for both vaccine and non-vaccine serotypes. Conclusion This study supports that, in 3–6 years old children, no competitive advantage exists for vaccine serotypes compared to non-vaccine serotypes. This is an argument in favour of important serotype replacement. It would be important to validate the result for infants, who are known to be the main reservoir in maintaining transmission. Overall reduction in pathogenicity should also be taken into account in forecasting the future burden of pneumococcal colonization in vaccinated populations. © Cauchemez et al; licensee BioMed Central Ltd. 2006. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
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title_short	S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools
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S. pneumoniaetransmission according to inclusion in conjugate vaccines: Bayesian analysis of a longitudinal follow-up in schools

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