Skip to main content Accessibility help
×
Hostname: page-component-6d856f89d9-nr6nt Total loading time: 0 Render date: 2024-07-16T08:47:55.109Z Has data issue: false hasContentIssue false

FOURTEEN - Using Models to Keep Us Healthy: The Productive Journeys of Facts across Public Health Research Networks

Published online by Cambridge University Press:  05 June 2012

Peter Howlett
Affiliation:
London School of Economics and Political Science
Mary S. Morgan
Affiliation:
London School of Economics and Political Science
Get access

Summary

Introduction: Travellers’ Tales

We are, perhaps, so familiar with narratives about knowledge construction that we may have forgotten to observe what actually happens to facts after their construction. The traditional study of the making of facts has mainly paid attention to activities that take place behind closed doors at their construction sites, often laboratories. But how do such facts then travel across the scientific world? And when they ‘arrive’ somewhere – how do they accommodate themselves into different environments? Do they change their identities – slightly or considerably – or do they stay stubbornly as they are? By increasing our understanding of these matters, we can learn more about the nature and progress of model-produced knowledge, and about facts’ ‘wider life.’

This chapter addresses the core question: How do the characteristics and functions of travelling facts equip them to contribute to building new models? Can seeing how they are utilised in novel surroundings allow us a fresh perspective on their conventionally understood nature – as ‘hard’ facts validating scientific findings? Might they be plastic to a degree – like precious metals –valuable, but malleable enough to be ‘worked’? And if so, what does that say about facts themselves?

Type
Chapter
Information
How Well Do Facts Travel?
The Dissemination of Reliable Knowledge
, pp. 376 - 402
Publisher: Cambridge University Press
Print publication year: 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Auranen, K. 2000 Back-Calculating the Age-Specificity of Recurrent Subclinical Haemophilus influenzae Type B InfectionStatistics in Medicine 19 2813.0.CO;2-D>CrossRefGoogle Scholar
Auranen, K. 1999 On Bayesian Modelling of Recurrent InfectionsThesis publication, University of HelsinkiHelsinkiGoogle Scholar
Auranen, K.Arjas, E.Leino, T.Takala, A. 2000 Transmission of Pneumococcal Carriage in Families: A Latent Markov Process Model for Binary Longitudinal DataJournal of the American Statistical Association 95 1044CrossRefGoogle Scholar
Auranen, K.Eichner, M.Käyhty, H.Takala, A.Arjas, E. 1999 A Hierarchical Bayesian Model to Predict the Duration of Immunity to HibBiometrics 55 1306CrossRefGoogle Scholar
Auranen, K.Eichner, M.Leino, T.Takala, A.Mäkelä, P. H.Takala, T. 2004 Modelling Transmission, Immunity and Disease of Haemophilus influenzae Type B in a Structured PopulationEpidemiology and Infection 132 947CrossRefGoogle Scholar
Auranen, K.Ranta, J.Takala, A.Arjas, E. 1996 A Statistical Model of Transmission of Hib Bacteria in a FamilyStatistics in Medicine 15 22353.0.CO;2-G>CrossRefGoogle ScholarPubMed
Bartolucci, F. 2006 Likelihood Inference for a Class of Latent Markov Models under Linear Hypothesis on the Transition ProbabilitiesJournal of Royal Statistical Society B 68 155CrossRefGoogle Scholar
Becker, Howard S. 2007 Telling about SocietyChicagoUniversity of Chicago PressGoogle Scholar
Cauchemez, S.Temime, L.Guillemot, D.Varon, E.Valleron, A.-J.Thomas, G. 2006 Investigating Heterogeneity in Pneumococcal Transmission: A Bayesian MCMC Approach Applied to a Follow-up of SchoolsJournal of the American Statistical Association 101 475CrossRefGoogle Scholar
Cauchemez, S.Temime, L.Valleron, A.-J.Varon, E.Thomas, G.Guillemot, D. 2006 Pneumoniae Transmission According to Inclusion in Conjugate Vaccines: Bayesian Analysis of a Longitudinal Follow-up in SchoolsBMC Infectious Diseases 6 14CrossRefGoogle ScholarPubMed
Coen, P. G.Heath, P. T.Barbour, M. L.Garnett, G. P. 1998 Mathematical Models of Haemophilus influenzae Type BEpidemiology and Infection 120 281CrossRefGoogle ScholarPubMed
Cooper, B.Lipstich, M. 2004 The Analysis of Hospital Infection Data Using Hidden Markov ModelsBiostatistics 5 223CrossRefGoogle ScholarPubMed
Eerola, M.Gasparra, D.Mäkelä, P. H.Linden, H.Andreev, A. 2003 Joint Modelling of Recurrent Infections and Antibody Response to Bayesian Data AugmentationScandinavian Journal of Statistics 30 677CrossRefGoogle Scholar
Daston, L. 1994 Chandler, J.Davidson, A.Harootunian, H.Questions of Evidence. Proof, Practice, and Persuasion across the DisciplinesChicagoThe Chicago University PressGoogle Scholar
Fox Keller, E. 2002 Making Sense of Life. Explaining Biological Development with Models, Metaphors and MachinesCambridge, MAHarvard University PressGoogle Scholar
Howlett, P. 2008
Humphreys, P. 2004 Extending Ourselves. Computational Science, Empiricism, and Scientific MethodOxfordOxford University PressCrossRefGoogle Scholar
Jackson, B.Thomas, A.Carroll, K.Adler, F.Samore, M. 2005 Use of Strain Typing Data to Estimate Bacterial Transmission Rates in Healthcare SettingsInfection Control and hospital epidemiology 26 638CrossRefGoogle ScholarPubMed
Jovchelovitch, Sandra 2007 Knowledge in Context: Representations, Community and CultureLondonRoutledgeGoogle Scholar
Knorr Cetina, K. 1981 The Manufacture of Knowledge: An Essay on the Constructivist and Contextual Nature of ScienceOxfordPergamon PressGoogle Scholar
Latour, B.Woolgar, S. 1979 Laboratory Life: The Social Construction of Scientific FactsLondonSageGoogle Scholar
Lexau, C.Lynfield, R.Danila, R.Pilishvili, T.Facklam, R. 2005 Changing Epidemiology of Invasive Pneumococcal Disease among Older Adults in the Era of Pediatric Pneumococcal Conjugate VaccineThe Journal of the American Medical Association 294 2043CrossRefGoogle ScholarPubMed
Leino, T.Auranen, K.Mäkelä, P. H.Käyhty, H.Ramsey, M.Slack, M. 2002 Haemophilus influenzae Type B and Cross-Reactive Antigens in Natural Hib Infection Dynamics; Modelling in Two PopulationsEpidemiology and Infection 129 73CrossRefGoogle ScholarPubMed
Leino, T.Auranen, K.Jokinen, J.Leinonen, M.Tervonen, P.Takala, A. 2001 Pneumococcal Carriage in Children during Their First Two Years; Important Role of Family ExposureThe Pediatric Infectious Disease Journal 20 1024CrossRefGoogle ScholarPubMed
Leino, T.Auranen, K.Mäkelä, P. H.Takala, A. 2000 Dynamics of Natural Immunity Caused by Subclinical Infections, Case Study on Haemophilus influenzae Type B (Hib)Epidemiology and Infection 125 583CrossRefGoogle Scholar
Leino, T.Takala, T.Auranen, K.Mäkelä, P. H.Takala, A. 2004 Indirect Protection Obtained by Haemophilus influenzae Type B Vaccination: Analysis in a Structured Population ModelEpidemiology and Infection 132 959CrossRefGoogle Scholar
McVernon, J.Trotter, C. L.Slack, M. P. E.Ramsey, M. E. 2004 Trends in Haemophilus influenzae Type B Infections in Adults in England and Wales: Surveillance StudyBritish Medical Journal 329 655CrossRefGoogle ScholarPubMed
Mäkelä, P. H.Käyhty, H.Leino, T.Auranen, K.Peltola, H.Lindholm, N. 2003 Long-Term Persistence of Immunity after Immunisation with Haemophilus influenzae Type B Conjugate VaccineVaccine 22 287CrossRefGoogle ScholarPubMed
Mansnerus, E. 2009 The Lives of Facts in Mathematical Models: a Story of Population-Level Disease Transmission ofHaemophilus influenzae 4 2Google Scholar
Mansnerus, E. 2009
Mansnerus, E. 2010 Gramelsberger, G.From Science to Computational Sciences. Studies in the History of Computing and Its Influence on Today’s SciencesDiaphenesZuerichGoogle Scholar
Mattila, E. 2006 Interdisciplinarity in the Making: Modelling Infectious DiseasesPerspectives on Science: Historical, Philosophical, Sociological 13 531CrossRefGoogle Scholar
Mattila, E. 2006 Questions to Artificial Nature: A Philosophical Study of Interdisciplinary Models and Their Functions in Scientific PracticeHelsinkiUniversity of HelsinkiGoogle Scholar
Mattila, E. 2006 Struggle between Specificity and Generality: How Do Infectious Disease Models Become a Simulation PlatformSimulation: Pragmatic Constructions of Reality – Sociology of the Sciences Yearbook 25 125Google Scholar
Mattila, E. 2008
Melegaro, A.Gay, N. 2004 Estimating the Transmission Parameters of Pneumococcal Carriage in HouseholdsEpidemiology and Infection 132 433CrossRefGoogle ScholarPubMed
Morgan, M.Morrison, M. 1999 Models as Mediators. Perspectives on Natural and Social SciencesCambridgeCambridge University PressCrossRefGoogle Scholar
Noakes, K.Salisbury, D. 2006 Plotkin, S.Mass Vaccination: Global Aspects – Progress and ObstaclesBerlin, HeidelbergSpringer VerlagGoogle Scholar
O’Brien, K. L.Nohynek, H. 2003 Report from a WHO Working Group: Standard Method for Detecting Upper Respiratory Carriage of Streptococcus PneumoniaePediatric Infectious Disease Journal 22 133CrossRefGoogle Scholar
Pebody, R.Leino, T.Nohynek, H.Hellenbrand, W.Salmaso, S.Ruutu, P. 2005 Pneumococcal Vaccination Policy in EuropeEuro Surveillance 10 174Google Scholar
Pittman, M. 1933 The Action of Type-Specific Haemophilus influenzae AntiserumThe Journal of Experimental Medicine 58 683CrossRefGoogle ScholarPubMed
Pittman, M. 1931 Variation and Type Specificity in the Bacterial Species Haemophilus influenzaeThe Journal of Experimental Medicine 53 4, 471CrossRefGoogle Scholar
Rheinberger, H.-J. 1999 Biagioli, M.The Science Studies ReaderNew YorkRoutledgeGoogle Scholar
Vygotsky, L. 1978 Mind in Society: The Development of Higher Psychological ProcessesCole, M.John-Steiner, V.Scribner, S.Souberman, E.Cambridge, MAHarvard University PressGoogle Scholar
WHO 2005

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×