Literature DB >> 22659545

Linking data and models: the importance of statistical analyses to inform models for the transmission dynamics of infections.

Virginia E Pitzer1, Nicole E Basta.   

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Year:  2012        PMID： 22659545      PMCID： PMC3399508          DOI： 10.1097/EDE.0b013e31825902ab

Source DB:  PubMed          Journal:  Epidemiology        ISSN： 1044-3983            Impact factor:   4.822


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  19 in total

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Authors:  Thierry Van Effelterre; Matthew R Moore; Frederik Fierens; Cynthia G Whitney; Lisa White; Stephen I Pelton; William P Hausdorff
Journal:  Vaccine       Date:  2010-03-30       Impact factor: 3.641

2.  Modelling multi-type transmission of pneumococcal carriage in Bangladeshi families.

Authors:  P Erästö; F Hoti; S M Granat; Z Mia; P H Mäkelä; K Auranen
Journal:  Epidemiol Infect       Date:  2009-12-17       Impact factor: 2.451

3.  Vaccination against colonizing bacteria with multiple serotypes.

Authors:  M Lipsitch
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4.  Public health and economic impact of the 13-valent pneumococcal conjugate vaccine (PCV13) in the United States.

Authors:  Jaime L Rubin; Lisa J McGarry; David R Strutton; Keith P Klugman; Stephen I Pelton; Kristen E Gilmore; Milton C Weinstein
Journal:  Vaccine       Date:  2010-09-28       Impact factor: 3.641

5.  Dynamic models of pneumococcal carriage and the impact of the Heptavalent Pneumococcal Conjugate Vaccine on invasive pneumococcal disease.

Authors:  Alessia Melegaro; Yoon Hong Choi; Robert George; W John Edmunds; Elizabeth Miller; Nigel J Gay
Journal:  BMC Infect Dis       Date:  2010-04-08       Impact factor: 3.090

6.  Estimating the transmission parameters of pneumococcal carriage in households.

Authors:  A Melegaro; N J Gay; G F Medley
Journal:  Epidemiol Infect       Date:  2004-06       Impact factor: 2.451

7.  Pneumococcal carriage in United Kingdom families: estimating serotype-specific transmission parameters from longitudinal data.

Authors:  Alessia Melegaro; Yoon Choi; Richard Pebody; Nigel Gay
Journal:  Am J Epidemiol       Date:  2007-05-21       Impact factor: 4.897

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

Authors:  Simon Cauchemez; Laura Temime; Alain-Jacques Valleron; Emmanuelle Varon; Guy Thomas; Didier Guillemot; Pierre-Yves Boëlle
Journal:  BMC Infect Dis       Date:  2006-01-30       Impact factor: 3.090

9.  Between-strain competition in acquisition and clearance of pneumococcal carriage--epidemiologic evidence from a longitudinal study of day-care children.

Authors:  Kari Auranen; Juha Mehtälä; Antti Tanskanen; Margit S Kaltoft
Journal:  Am J Epidemiol       Date:  2009-12-06       Impact factor: 4.897

10.  Pneumococcal capsular polysaccharide structure predicts serotype prevalence.

Authors:  Daniel M Weinberger; Krzysztof Trzciński; Ying-Jie Lu; Debby Bogaert; Aaron Brandes; James Galagan; Porter W Anderson; Richard Malley; Marc Lipsitch
Journal:  PLoS Pathog       Date:  2009-06-12       Impact factor: 6.823
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1.  A compelling demonstration of why traditional statistical regression models cannot be used to identify risk factors from case data on infectious diseases: a simulation study.

Authors:  Solveig Engebretsen; Gunnar Rø; Birgitte Freiesleben de Blasio
Journal:  BMC Med Res Methodol       Date:  2022-05-20       Impact factor: 4.612

2.  Immunological heterogeneity informs estimation of the durability of vaccine protection.

Authors:  Matthieu Domenech de Cellès; Anabelle Wong; Laura Andrea Barrero Guevara; Pejman Rohani
Journal:  J R Soc Interface       Date:  2022-05-25       Impact factor: 4.293

3.  Estimating the per-exposure effect of infectious disease interventions.

Authors:  Justin J O'Hagan; Marc Lipsitch; Miguel A Hernán
Journal:  Epidemiology       Date:  2014-01       Impact factor: 4.822

4.  Risk ratios for contagious outcomes.

Authors:  Olga Morozova; Ted Cohen; Forrest W Crawford
Journal:  J R Soc Interface       Date:  2018-01-17       Impact factor: 4.293

5.  Estimating a Markovian epidemic model using household serial interval data from the early phase of an epidemic.

Authors:  Andrew J Black; Joshua V Ross
Journal:  PLoS One       Date:  2013-08-30       Impact factor: 3.240
  5 in total

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