Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

John Samuel Brownstein, Ph.D.

Concepts

This page shows the publications John Brownstein has written about Disease Outbreaks.
Connection Strength

8.976
  1. Real-Time Digital Surveillance of Vaping-Induced Pulmonary Disease. N Engl J Med. 2019 10 31; 381(18):1778-1780.
    View in: PubMed
    Score: 0.401
  2. Online surveillance of media health event reporting in Nepal: digital disease detection from a One Health perspective. BMC Int Health Hum Rights. 2017 09 21; 17(1):26.
    View in: PubMed
    Score: 0.349
  3. Vaccine compliance and the 2016 Arkansas mumps outbreak. Lancet Infect Dis. 2017 04; 17(4):361-362.
    View in: PubMed
    Score: 0.338
  4. Internet-based media coverage on dengue in Sri Lanka between 2007 and 2015. Glob Health Action. 2016; 9:31620.
    View in: PubMed
    Score: 0.317
  5. Mortality Risk Factors for Middle East Respiratory Syndrome Outbreak, South Korea, 2015. Emerg Infect Dis. 2015 Nov; 21(11):2088-90.
    View in: PubMed
    Score: 0.306
  6. Vaccination Compliance and the US Measles Epidemic--Reply. JAMA Pediatr. 2015 Sep; 169(9):877-8.
    View in: PubMed
    Score: 0.303
  7. Substandard vaccination compliance and the 2015 measles outbreak. JAMA Pediatr. 2015 May; 169(5):494-5.
    View in: PubMed
    Score: 0.296
  8. A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives. J Med Internet Res. 2014 Oct 20; 16(10):e236.
    View in: PubMed
    Score: 0.285
  9. Digital surveillance for enhanced detection and response to outbreaks. Lancet Infect Dis. 2014 Nov; 14(11):1035-1037.
    View in: PubMed
    Score: 0.285
  10. Quantifying the effect of media limitations on outbreak data in a global online web-crawling epidemic intelligence system, 2008-2011. Emerg Health Threats J. 2013 Nov 08; 6:21621.
    View in: PubMed
    Score: 0.267
  11. Influenza A (H7N9) and the importance of digital epidemiology. N Engl J Med. 2013 Aug 01; 369(5):401-4.
    View in: PubMed
    Score: 0.260
  12. Forecasting high-priority infectious disease surveillance regions: a socioeconomic model. Clin Infect Dis. 2013 Feb; 56(4):517-24.
    View in: PubMed
    Score: 0.249
  13. Infectious disease surveillance and modelling across geographic frontiers and scientific specialties. Lancet Infect Dis. 2012 Mar; 12(3):222-30.
    View in: PubMed
    Score: 0.235
  14. Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. Am J Trop Med Hyg. 2012 Jan; 86(1):39-45.
    View in: PubMed
    Score: 0.235
  15. Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance. PLoS Negl Trop Dis. 2011 May; 5(5):e1206.
    View in: PubMed
    Score: 0.225
  16. Global capacity for emerging infectious disease detection. Proc Natl Acad Sci U S A. 2010 Dec 14; 107(50):21701-6.
    View in: PubMed
    Score: 0.218
  17. Information technology and global surveillance of cases of 2009 H1N1 influenza. N Engl J Med. 2010 May 06; 362(18):1731-5.
    View in: PubMed
    Score: 0.209
  18. Automated vocabulary discovery for geo-parsing online epidemic intelligence. BMC Bioinformatics. 2009 Nov 24; 10:385.
    View in: PubMed
    Score: 0.203
  19. Evidence-based tool for triggering school closures during influenza outbreaks, Japan. Emerg Infect Dis. 2009 Nov; 15(11):1841-3.
    View in: PubMed
    Score: 0.202
  20. Influenza A (H1N1) virus, 2009--online monitoring. N Engl J Med. 2009 May 21; 360(21):2156.
    View in: PubMed
    Score: 0.195
  21. Use of unstructured event-based reports for global infectious disease surveillance. Emerg Infect Dis. 2009 May; 15(5):689-95.
    View in: PubMed
    Score: 0.195
  22. Early detection of disease outbreaks using the Internet. CMAJ. 2009 Apr 14; 180(8):829-31.
    View in: PubMed
    Score: 0.194
  23. HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. J Am Med Inform Assoc. 2008 Mar-Apr; 15(2):150-7.
    View in: PubMed
    Score: 0.177
  24. HealthMap: the development of automated real-time internet surveillance for epidemic intelligence. Euro Surveill. 2007 Nov 29; 12(11):E071129.5.
    View in: PubMed
    Score: 0.177
  25. Empirical evidence for the effect of airline travel on inter-regional influenza spread in the United States. PLoS Med. 2006 Sep; 3(10):e401.
    View in: PubMed
    Score: 0.162
  26. Reengineering real time outbreak detection systems for influenza epidemic monitoring. AMIA Annu Symp Proc. 2006; 866.
    View in: PubMed
    Score: 0.155
  27. A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States. Environ Health Perspect. 2003 Jul; 111(9):1152-7.
    View in: PubMed
    Score: 0.130
  28. Real-time Epidemic Forecasting: Challenges and Opportunities. Health Secur. 2019 Jul/Aug; 17(4):268-275.
    View in: PubMed
    Score: 0.099
  29. Evaluation of the EpiCore outbreak verification system. Bull World Health Organ. 2018 May 01; 96(5):327-334.
    View in: PubMed
    Score: 0.090
  30. Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project. J Public Health Manag Pract. 2017 Nov/Dec; 23(6):577-580.
    View in: PubMed
    Score: 0.088
  31. Disparities in digital reporting of illness: A demographic and socioeconomic assessment. Prev Med. 2017 Aug; 101:18-22.
    View in: PubMed
    Score: 0.085
  32. Reconstruction of Zika Virus Introduction in Brazil. Emerg Infect Dis. 2017 01; 23(1):91-94.
    View in: PubMed
    Score: 0.083
  33. Case characteristics among Middle East respiratory syndrome coronavirus outbreak and non-outbreak cases in Saudi Arabia from 2012 to 2015. BMJ Open. 2017 01 12; 7(1):e011865.
    View in: PubMed
    Score: 0.083
  34. Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015-16: a modelling study. Lancet Infect Dis. 2017 03; 17(3):330-338.
    View in: PubMed
    Score: 0.083
  35. Global Capacity for Emerging Infectious Disease Detection, 1996-2014. Emerg Infect Dis. 2016 10; 22(10):E1-6.
    View in: PubMed
    Score: 0.082
  36. Yellow fever vaccination coverage heterogeneities in Luanda province, Angola. Lancet Infect Dis. 2016 09; 16(9):993-995.
    View in: PubMed
    Score: 0.081
  37. Disease Surveillance on Complex Social Networks. PLoS Comput Biol. 2016 07; 12(7):e1004928.
    View in: PubMed
    Score: 0.080
  38. Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China. Environ Res. 2016 10; 150:299-305.
    View in: PubMed
    Score: 0.080
  39. The global distribution of Crimean-Congo hemorrhagic fever. Trans R Soc Trop Med Hyg. 2015 Aug; 109(8):503-13.
    View in: PubMed
    Score: 0.075
  40. Comparing timeliness, content, and disease severity of formal and informal source outbreak reporting. BMC Infect Dis. 2015 Mar 20; 15:135.
    View in: PubMed
    Score: 0.073
  41. Assessment of the potential for international dissemination of Ebola virus via commercial air travel during the 2014 west African outbreak. Lancet. 2015 Jan 03; 385(9962):29-35.
    View in: PubMed
    Score: 0.071
  42. Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports. Prev Med. 2014 Oct; 67:264-9.
    View in: PubMed
    Score: 0.070
  43. Accuracy of epidemiological inferences based on publicly available information: retrospective comparative analysis of line lists of human cases infected with influenza A(H7N9) in China. BMC Med. 2014 May 28; 12:88.
    View in: PubMed
    Score: 0.069
  44. Guess who's not coming to dinner? Evaluating online restaurant reservations for disease surveillance. J Med Internet Res. 2014 Jan 22; 16(1):e22.
    View in: PubMed
    Score: 0.068
  45. Big data opportunities for global infectious disease surveillance. PLoS Med. 2013; 10(4):e1001413.
    View in: PubMed
    Score: 0.064
  46. Evaluation of epidemic intelligence systems integrated in the early alerting and reporting project for the detection of A/H5N1 influenza events. PLoS One. 2013; 8(3):e57252.
    View in: PubMed
    Score: 0.064
  47. Using network theory to identify the causes of disease outbreaks of unknown origin. J R Soc Interface. 2013 Apr 06; 10(81):20120904.
    View in: PubMed
    Score: 0.063
  48. Usefulness of school absenteeism data for predicting influenza outbreaks, United States. Emerg Infect Dis. 2012 Aug; 18(8):1375-7.
    View in: PubMed
    Score: 0.061
  49. Application of change point analysis to daily influenza-like illness emergency department visits. J Am Med Inform Assoc. 2012 Nov-Dec; 19(6):1075-81.
    View in: PubMed
    Score: 0.061
  50. Electronic event-based surveillance for monitoring dengue, Latin America. Emerg Infect Dis. 2012 Jul; 18(7):1147-50.
    View in: PubMed
    Score: 0.061
  51. Timeliness of nongovernmental versus governmental global outbreak communications. Emerg Infect Dis. 2012 Jul; 18(7):1184-7.
    View in: PubMed
    Score: 0.061
  52. Self-reported fever and measured temperature in emergency department records used for syndromic surveillance. J Am Med Inform Assoc. 2012 Sep-Oct; 19(5):775-6.
    View in: PubMed
    Score: 0.060
  53. Human vs. animal outbreaks of the 2009 swine-origin H1N1 influenza A epidemic. Ecohealth. 2011 Sep; 8(3):376-80.
    View in: PubMed
    Score: 0.057
  54. Global public health implications of a mass gathering in Mecca, Saudi Arabia during the midst of an influenza pandemic. J Travel Med. 2010 Mar-Apr; 17(2):75-81.
    View in: PubMed
    Score: 0.052
  55. Digital disease detection--harnessing the Web for public health surveillance. N Engl J Med. 2009 May 21; 360(21):2153-5, 2157.
    View in: PubMed
    Score: 0.049
  56. Automated real time constant-specificity surveillance for disease outbreaks. BMC Med Inform Decis Mak. 2007 Jun 13; 7:15.
    View in: PubMed
    Score: 0.043
  57. Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach. PLoS One. 2021; 16(5):e0250890.
    View in: PubMed
    Score: 0.028
  58. Crowding and the shape of COVID-19 epidemics. Nat Med. 2020 12; 26(12):1829-1834.
    View in: PubMed
    Score: 0.027
  59. Dynamics of conflict during the Ebola outbreak in the Democratic Republic of the Congo 2018-2019. BMC Med. 2020 04 27; 18(1):113.
    View in: PubMed
    Score: 0.026
  60. Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America. BMC Infect Dis. 2018 08 15; 18(1):403.
    View in: PubMed
    Score: 0.023
  61. Nosocomial amplification of MERS-coronavirus in South Korea, 2015. Trans R Soc Trop Med Hyg. 2017 06 01; 111(6):261-269.
    View in: PubMed
    Score: 0.021
  62. Use of a Digital Health Application for Influenza Surveillance in China. Am J Public Health. 2017 07; 107(7):1130-1136.
    View in: PubMed
    Score: 0.021
  63. Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. Sci Rep. 2017 01 19; 7:40841.
    View in: PubMed
    Score: 0.021
  64. Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data. PLoS Negl Trop Dis. 2017 01; 11(1):e0005295.
    View in: PubMed
    Score: 0.021
  65. Potential for Zika virus introduction and transmission in resource-limited countries in Africa and the Asia-Pacific region: a modelling study. Lancet Infect Dis. 2016 Nov; 16(11):1237-1245.
    View in: PubMed
    Score: 0.020
  66. Evaluating the effectiveness of localized control strategies to curtail chikungunya. Sci Rep. 2016 Apr 05; 6:23997.
    View in: PubMed
    Score: 0.020
  67. Anticipating the international spread of Zika virus from Brazil. Lancet. 2016 Jan 23; 387(10016):335-336.
    View in: PubMed
    Score: 0.019
  68. Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network. J Med Internet Res. 2015 Jul 08; 17(7):e169.
    View in: PubMed
    Score: 0.019
  69. Dengue on islands: a Bayesian approach to understanding the global ecology of dengue viruses. Trans R Soc Trop Med Hyg. 2015 May; 109(5):303-12.
    View in: PubMed
    Score: 0.018
  70. Mapping the zoonotic niche of Ebola virus disease in Africa. Elife. 2014 Sep 08; 3:e04395.
    View in: PubMed
    Score: 0.018
  71. A global compendium of human dengue virus occurrence. Sci Data. 2014; 1:140004.
    View in: PubMed
    Score: 0.017
  72. Factors influencing performance of internet-based biosurveillance systems used in epidemic intelligence for early detection of infectious diseases outbreaks. PLoS One. 2014; 9(3):e90536.
    View in: PubMed
    Score: 0.017
  73. A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza Other Respir Viruses. 2014 May; 8(3):309-16.
    View in: PubMed
    Score: 0.017
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.