Literature DB >> 24077000

Big data in epidemiology: too big to fail?

Arnaud Chiolero1.   

Abstract

Mesh：

Year:  2013        PMID： 24077000     DOI： 10.1097/EDE.0b013e31829e46dc

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


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  7 in total

Review 1.  Big data in medical science--a biostatistical view.

Authors:  Harald Binder; Maria Blettner
Journal:  Dtsch Arztebl Int       Date:  2015-02-27       Impact factor: 5.594

Review 2.  Identifying the appropriate comparison group for HIV-infected individuals.

Authors:  Cherise Wong; Keri Althoff; Stephen J Gange
Journal:  Curr Opin HIV AIDS       Date:  2014-07       Impact factor: 4.283

3.  Scraping the Web for Public Health Gains: Ethical Considerations from a 'Big Data' Research Project on HIV and Incarceration.

Authors:  Stuart Rennie; Mara Buchbinder; Eric Juengst; Lauren Brinkley-Rubinstein; Colleen Blue; David L Rosen
Journal:  Public Health Ethics       Date:  2020-03-11       Impact factor: 1.940

4.  Data Are Not Enough-Hurray For Causality!

Authors:  Arnaud Chiolero
Journal:  Am J Public Health       Date:  2018-05       Impact factor: 9.308

5.  Translating Big Data into Smart Data for Veterinary Epidemiology.

Authors:  Kimberly VanderWaal; Robert B Morrison; Claudia Neuhauser; Carles Vilalta; Andres M Perez
Journal:  Front Vet Sci       Date:  2017-07-17

6.  Clinical epidemiology in the era of big data: new opportunities, familiar challenges.

Authors:  Vera Ehrenstein; Henrik Nielsen; Alma B Pedersen; Søren P Johnsen; Lars Pedersen
Journal:  Clin Epidemiol       Date:  2017-04-27       Impact factor: 4.790

7.  ERAIZDA: a model for holistic annotation of animal infectious and zoonotic diseases.

Authors:  Teresia M Buza; Sherman W Jack; Halid Kirunda; Margaret L Khaitsa; Mark L Lawrence; Stephen Pruett; Daniel G Peterson
Journal:  Database (Oxford)       Date:  2015-11-18       Impact factor: 3.451
  7 in total

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