Literature DB >> 29769955

Big Data is changing the battle against infectious diseases.

M G Links1,2.   

Abstract

Big Data has traditionally been associated with computer geeks and commercial enterprises, but it has become entrenched in many scientific disciplines including the prevention and control of infectious diseases. The use of Big Data has allowed disease trends to be identified and outbreak origins to be tracked and even predicted. Big Data is not getting smaller. The challenges we face are to hone our analytical capacity to address the huge "signal-to-noise" ratio with adequate computing power and multidisciplinary teams that can handle ever-increasing amounts of data. Big Data will also create the opportunity for future applications of bespoke (or personalized) treatment.

Entities:  

Year:  2015        PMID: 29769955      PMCID: PMC5864264          DOI: 10.14745/ccdr.v41i09a03

Source DB:  PubMed          Journal:  Can Commun Dis Rep        ISSN: 1188-4169


  7 in total

1.  Whole-Genome Sequencing of Measles Virus Genotypes H1 and D8 During Outbreaks of Infection Following the 2010 Olympic Winter Games Reveals Viral Transmission Routes.

Authors:  Jennifer L Gardy; Monika Naus; Ashraf Amlani; Walter Chung; Hochan Kim; Malcolm Tan; Alberto Severini; Mel Krajden; David Puddicombe; Vanita Sahni; Althea S Hayden; Reka Gustafson; Bonnie Henry; Patrick Tang
Journal:  J Infect Dis       Date:  2015-07-06       Impact factor: 5.226

2.  Towards genomic prediction of drug resistance in tuberculosis.

Authors:  Jennifer L Gardy
Journal:  Lancet Infect Dis       Date:  2015-06-23       Impact factor: 25.071

3.  Big Data: Astronomical or Genomical?

Authors:  Zachary D Stephens; Skylar Y Lee; Faraz Faghri; Roy H Campbell; Chengxiang Zhai; Miles J Efron; Ravishankar Iyer; Michael C Schatz; Saurabh Sinha; Gene E Robinson
Journal:  PLoS Biol       Date:  2015-07-07       Impact factor: 8.029

4.  Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study.

Authors:  Timothy M Walker; Thomas A Kohl; Shaheed V Omar; Jessica Hedge; Carlos Del Ojo Elias; Phelim Bradley; Zamin Iqbal; Silke Feuerriegel; Katherine E Niehaus; Daniel J Wilson; David A Clifton; Georgia Kapatai; Camilla L C Ip; Rory Bowden; Francis A Drobniewski; Caroline Allix-Béguec; Cyril Gaudin; Julian Parkhill; Roland Diel; Philip Supply; Derrick W Crook; E Grace Smith; A Sarah Walker; Nazir Ismail; Stefan Niemann; Tim E A Peto
Journal:  Lancet Infect Dis       Date:  2015-06-23       Impact factor: 25.071

5.  Leveraging "big data" to enhance the effectiveness of "one health" in an era of health informatics.

Authors:  G V Asokan; Vanitha Asokan
Journal:  J Epidemiol Glob Health       Date:  2015-03-05

6.  Big Data and the Global Public Health Intelligence Network (GPHIN).

Authors:  M Dion; P AbdelMalik; A Mawudeku
Journal:  Can Commun Dis Rep       Date:  2015-09-03

7.  Evaluation of a national pharmacy-based syndromic surveillance system.

Authors:  P K Muchaal; S Parker; K Meganath; L Landry; J Aramini
Journal:  Can Commun Dis Rep       Date:  2015-09-03
  7 in total

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