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 Humans.
Connection Strength

0.944
  1. A 10-Year Social Media Analysis Exploring Hospital Online Support of Black Lives Matter and the Black Community. JAMA Netw Open. 2021 10 01; 4(10):e2126714.
    View in: PubMed
    Score: 0.011
  2. Covid-19 vaccine apps should deliver more to patients. Lancet Digit Health. 2021 05; 3(5):e278-e279.
    View in: PubMed
    Score: 0.011
  3. Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study. Lancet Digit Health. 2021 03; 3(3):e148-e157.
    View in: PubMed
    Score: 0.011
  4. Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study. PLoS One. 2020; 15(10):e0239886.
    View in: PubMed
    Score: 0.010
  5. Racial and Ethnic Disparities in Patient Experiences in the United States: 4-Year Content Analysis of Twitter. J Med Internet Res. 2020 08 21; 22(8):e17048.
    View in: PubMed
    Score: 0.010
  6. Evaluation of Volume of News Reporting and Opioid-Related Deaths in the United States: Comparative Analysis Study of Geographic and Socioeconomic Differences. J Med Internet Res. 2020 07 10; 22(7):e17693.
    View in: PubMed
    Score: 0.010
  7. Putting the Public Back in Public Health - Surveying Symptoms of Covid-19. N Engl J Med. 2020 Aug 13; 383(7):e45.
    View in: PubMed
    Score: 0.010
  8. Sharing patient-level real-time COVID-19 data. Lancet Digit Health. 2020 07; 2(7):e345.
    View in: PubMed
    Score: 0.010
  9. Mapping global variation in human mobility. Nat Hum Behav. 2020 08; 4(8):800-810.
    View in: PubMed
    Score: 0.010
  10. Leveraging black-market street buprenorphine pricing to increase capacity to treat opioid addiction, 2010-2018. Prev Med. 2020 08; 137:106105.
    View in: PubMed
    Score: 0.010
  11. Tuberculosis and foreign-born populations in the United States: A mixed methods pilot study of media reporting and political identification. PLoS One. 2020; 15(4):e0230967.
    View in: PubMed
    Score: 0.010
  12. Real-Time Digital Surveillance of Vaping-Induced Pulmonary Disease. N Engl J Med. 2019 10 31; 381(18):1778-1780.
    View in: PubMed
    Score: 0.010
  13. Passenger or Patient? The Automobile: A New Frontier in Health Promotion. Health Promot Pract. 2019 05; 20(3):328-332.
    View in: PubMed
    Score: 0.009
  14. Evaluating the Implementation of a Twitter-Based Foodborne Illness Reporting Tool in the City of St. Louis Department of Health. Int J Environ Res Public Health. 2018 04 24; 15(5).
    View in: PubMed
    Score: 0.009
  15. 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: 0.009
  16. County-level assessment of United States kindergarten vaccination rates for measles mumps rubella (MMR) for the 2014-2015 school year. Vaccine. 2017 11 07; 35(47):6444-6450.
    View in: PubMed
    Score: 0.009
  17. 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: 0.008
  18. Vaccine compliance and the 2016 Arkansas mumps outbreak. Lancet Infect Dis. 2017 04; 17(4):361-362.
    View in: PubMed
    Score: 0.008
  19. A Platform for Monitoring Regional Antimicrobial Resistance, Using Online Data Sources: ResistanceOpen. J Infect Dis. 2016 12 01; 214(suppl_4):S393-S398.
    View in: PubMed
    Score: 0.008
  20. Global Capacity for Emerging Infectious Disease Detection, 1996-2014. Emerg Infect Dis. 2016 10; 22(10):E1-6.
    View in: PubMed
    Score: 0.008
  21. Yellow fever vaccination coverage heterogeneities in Luanda province, Angola. Lancet Infect Dis. 2016 09; 16(9):993-995.
    View in: PubMed
    Score: 0.008
  22. Global distribution and environmental suitability for chikungunya virus, 1952 to 2015. Euro Surveill. 2016 May 19; 21(20).
    View in: PubMed
    Score: 0.008
  23. Internet-based media coverage on dengue in Sri Lanka between 2007 and 2015. Glob Health Action. 2016; 9:31620.
    View in: PubMed
    Score: 0.008
  24. Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Sci Rep. 2016 05 11; 6:25732.
    View in: PubMed
    Score: 0.008
  25. Publicly Available Online Tool Facilitates Real-Time Monitoring Of Vaccine Conversations And Sentiments. Health Aff (Millwood). 2016 Feb; 35(2):341-7.
    View in: PubMed
    Score: 0.008
  26. On-demand delivery of influenza vaccination. Ann Intern Med. 2015 Nov 17; 163(10):806-7.
    View in: PubMed
    Score: 0.007
  27. 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: 0.007
  28. Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput Biol. 2015 Oct; 11(10):e1004513.
    View in: PubMed
    Score: 0.007
  29. The velocity of Ebola spread in parts of west Africa. Lancet Infect Dis. 2015 Sep; 15(9):1005-1007.
    View in: PubMed
    Score: 0.007
  30. Vaccination Compliance and the US Measles Epidemic--Reply. JAMA Pediatr. 2015 Sep; 169(9):877-8.
    View in: PubMed
    Score: 0.007
  31. Spatial and Temporal Clustering of Chikungunya Virus Transmission in Dominica. PLoS Negl Trop Dis. 2015; 9(8):e0003977.
    View in: PubMed
    Score: 0.007
  32. Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons. Am J Public Health. 2015 Oct; 105(10):2124-30.
    View in: PubMed
    Score: 0.007
  33. Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection. Emerg Infect Dis. 2015 Aug; 21(8):1285-92.
    View in: PubMed
    Score: 0.007
  34. Characterizing Sleep Issues Using Twitter. J Med Internet Res. 2015 Jun 08; 17(6):e140.
    View in: PubMed
    Score: 0.007
  35. Surveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology. PLoS One. 2015; 10(5):e0127406.
    View in: PubMed
    Score: 0.007
  36. Substandard vaccination compliance and the 2015 measles outbreak. JAMA Pediatr. 2015 May; 169(5):494-5.
    View in: PubMed
    Score: 0.007
  37. The digital phenotype. Nat Biotechnol. 2015 May; 33(5):462-3.
    View in: PubMed
    Score: 0.007
  38. Searching the Web for Influenza Vaccines: HealthMap Vaccine Finder. Am J Public Health. 2015 Aug; 105(8):e134-9.
    View in: PubMed
    Score: 0.007
  39. Estimating influenza attack rates in the United States using a participatory cohort. Sci Rep. 2015 Apr 02; 5:9540.
    View in: PubMed
    Score: 0.007
  40. Monitoring disease trends using hospital traffic data from high resolution satellite imagery: a feasibility study. Sci Rep. 2015 Mar 13; 5:9112.
    View in: PubMed
    Score: 0.007
  41. Computational approaches to influenza surveillance: beyond timeliness. Cell Host Microbe. 2015 Mar 11; 17(3):275-278.
    View in: PubMed
    Score: 0.007
  42. Ethical challenges of big data in public health. PLoS Comput Biol. 2015 Feb; 11(2):e1003904.
    View in: PubMed
    Score: 0.007
  43. New digital technologies for the surveillance of infectious diseases at mass gathering events. Clin Microbiol Infect. 2015 Feb; 21(2):134-40.
    View in: PubMed
    Score: 0.007
  44. 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: 0.007
  45. Digital surveillance for enhanced detection and response to outbreaks. Lancet Infect Dis. 2014 Nov; 14(11):1035-1037.
    View in: PubMed
    Score: 0.007
  46. Using clinicians' search query data to monitor influenza epidemics. Clin Infect Dis. 2014 Nov 15; 59(10):1446-50.
    View in: PubMed
    Score: 0.007
  47. Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports. Prev Med. 2014 Oct; 67:264-9.
    View in: PubMed
    Score: 0.007
  48. One Health in social networks and social media. Rev Sci Tech. 2014 Aug; 33(2):629-37.
    View in: PubMed
    Score: 0.007
  49. Modeling to predict cases of hantavirus pulmonary syndrome in Chile. PLoS Negl Trop Dis. 2014 Apr; 8(4):e2779.
    View in: PubMed
    Score: 0.007
  50. Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time. PLoS Comput Biol. 2014 Apr; 10(4):e1003581.
    View in: PubMed
    Score: 0.007
  51. Evaluation of Internet-based dengue query data: Google Dengue Trends. PLoS Negl Trop Dis. 2014 Feb; 8(2):e2713.
    View in: PubMed
    Score: 0.007
  52. 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: 0.007
  53. 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: 0.006
  54. Using search queries for malaria surveillance, Thailand. Malar J. 2013 Nov 04; 12:390.
    View in: PubMed
    Score: 0.006
  55. Influenza A (H7N9) and the importance of digital epidemiology. N Engl J Med. 2013 Aug 01; 369(5):401-4.
    View in: PubMed
    Score: 0.006
  56. An overview of internet biosurveillance. Clin Microbiol Infect. 2013 Nov; 19(11):1006-13.
    View in: PubMed
    Score: 0.006
  57. Monitoring influenza epidemics in china with search query from baidu. PLoS One. 2013; 8(5):e64323.
    View in: PubMed
    Score: 0.006
  58. Assessing the online social environment for surveillance of obesity prevalence. PLoS One. 2013; 8(4):e61373.
    View in: PubMed
    Score: 0.006
  59. Big data opportunities for global infectious disease surveillance. PLoS Med. 2013; 10(4):e1001413.
    View in: PubMed
    Score: 0.006
  60. Preventing pandemics via international development: a systems approach. PLoS Med. 2012; 9(12):e1001354.
    View in: PubMed
    Score: 0.006
  61. Relationship between community prevalence of obesity and associated behavioral factors and community rates of influenza-related hospitalizations in the United States. Influenza Other Respir Viruses. 2013 Sep; 7(5):718-28.
    View in: PubMed
    Score: 0.006
  62. Forecasting high-priority infectious disease surveillance regions: a socioeconomic model. Clin Infect Dis. 2013 Feb; 56(4):517-24.
    View in: PubMed
    Score: 0.006
  63. New technologies for reporting real-time emergent infections. Parasitology. 2012 Dec; 139(14):1843-51.
    View in: PubMed
    Score: 0.006
  64. Novel surveillance of psychological distress during the great recession. J Affect Disord. 2012 Dec 15; 142(1-3):323-30.
    View in: PubMed
    Score: 0.006
  65. Electronic event-based surveillance for monitoring dengue, Latin America. Emerg Infect Dis. 2012 Jul; 18(7):1147-50.
    View in: PubMed
    Score: 0.006
  66. Online reporting for malaria surveillance using micro-monetary incentives, in urban India 2010-2011. Malar J. 2012 Feb 13; 11:43.
    View in: PubMed
    Score: 0.006
  67. Infectious disease surveillance and modelling across geographic frontiers and scientific specialties. Lancet Infect Dis. 2012 Mar; 12(3):222-30.
    View in: PubMed
    Score: 0.006
  68. 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: 0.006
  69. Effect of expanded US recommendations for seasonal influenza vaccination: comparison of two pediatric emergency departments in the United States and Canada. CMAJ. 2011 Sep 20; 183(13):E1025-32.
    View in: PubMed
    Score: 0.006
  70. 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: 0.005
  71. Tracking the rise in popularity of electronic nicotine delivery systems (electronic cigarettes) using search query surveillance. Am J Prev Med. 2011 Apr; 40(4):448-53.
    View in: PubMed
    Score: 0.005
  72. Using search query surveillance to monitor tax avoidance and smoking cessation following the United States' 2009 "SCHIP" cigarette tax increase. PLoS One. 2011 Mar 16; 6(3):e16777.
    View in: PubMed
    Score: 0.005
  73. Potential for electronic health records and online social networking to redefine medical research. Clin Chem. 2011 Feb; 57(2):196-204.
    View in: PubMed
    Score: 0.005
  74. Participatory epidemiology: use of mobile phones for community-based health reporting. PLoS Med. 2010 Dec 07; 7(12):e1000376.
    View in: PubMed
    Score: 0.005
  75. 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: 0.005
  76. Measuring the impact of health policies using Internet search patterns: the case of abortion. BMC Public Health. 2010 Aug 25; 10:514.
    View in: PubMed
    Score: 0.005
  77. Association between fine particulate matter and diabetes prevalence in the U.S. Diabetes Care. 2010 Oct; 33(10):2196-201.
    View in: PubMed
    Score: 0.005
  78. Geographic information systems and pharmacoepidemiology: using spatial cluster detection to monitor local patterns of prescription opioid abuse. Pharmacoepidemiol Drug Saf. 2010 Jun; 19(6):627-37.
    View in: PubMed
    Score: 0.005
  79. 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: 0.005
  80. Characteristics of US public schools with reported cases of novel influenza A (H1N1). Int J Infect Dis. 2010 Sep; 14 Suppl 3:e6-8.
    View in: PubMed
    Score: 0.005
  81. Preparing for infectious disease threats at mass gatherings: the case of the Vancouver 2010 Olympic Winter Games. CMAJ. 2010 Apr 06; 182(6):579-83.
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    Score: 0.005
  82. Rapid identification of myocardial infarction risk associated with diabetes medications using electronic medical records. Diabetes Care. 2010 Mar; 33(3):526-31.
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    Score: 0.005
  83. Automated vocabulary discovery for geo-parsing online epidemic intelligence. BMC Bioinformatics. 2009 Nov 24; 10:385.
    View in: PubMed
    Score: 0.005
  84. Breaking the news or fueling the epidemic? Temporal association between news media report volume and opioid-related mortality. PLoS One. 2009 Nov 18; 4(11):e7758.
    View in: PubMed
    Score: 0.005
  85. Evidence-based tool for triggering school closures during influenza outbreaks, Japan. Emerg Infect Dis. 2009 Nov; 15(11):1841-3.
    View in: PubMed
    Score: 0.005
  86. An assessment of global Internet-based HIV/AIDS media coverage: implications for United Nations Programme on HIV/AIDS' Global Media HIV/AIDS initiative. Int J STD AIDS. 2010 Jan; 21(1):26-9.
    View in: PubMed
    Score: 0.005
  87. 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: 0.005
  88. Influenza A (H1N1) virus, 2009--online monitoring. N Engl J Med. 2009 May 21; 360(21):2156.
    View in: PubMed
    Score: 0.005
  89. Use of unstructured event-based reports for global infectious disease surveillance. Emerg Infect Dis. 2009 May; 15(5):689-95.
    View in: PubMed
    Score: 0.005
  90. Early detection of disease outbreaks using the Internet. CMAJ. 2009 Apr 14; 180(8):829-31.
    View in: PubMed
    Score: 0.005
  91. Effect of environmental factors on the spatio-temporal patterns of influenza spread. Epidemiol Infect. 2009 Oct; 137(10):1377-87.
    View in: PubMed
    Score: 0.005
  92. Surveillance Sans Frontières: Internet-based emerging infectious disease intelligence and the HealthMap project. PLoS Med. 2008 Jul 08; 5(7):e151.
    View in: PubMed
    Score: 0.004
  93. Pediatric population size is associated with geographic patterns of acute respiratory infections among adults. Ann Emerg Med. 2008 Jul; 52(1):63-8.
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    Score: 0.004
  94. Estimating excess mortality in post-invasion Iraq. N Engl J Med. 2008 Jan 31; 358(5):445-7.
    View in: PubMed
    Score: 0.004
  95. Age-related trends in the timeliness and prediction of medical visits, hospitalizations and deaths due to pneumonia and influenza, British Columbia, Canada, 1998-2004. Vaccine. 2008 Mar 04; 26(10):1397-403.
    View in: PubMed
    Score: 0.004
  96. 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: 0.004
  97. 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: 0.004
  98. The new International Health Regulations: considerations for global public health surveillance. Disaster Med Public Health Prep. 2007 Nov; 1(2):117-21.
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    Score: 0.004
  99. The tell-tale heart: population-based surveillance reveals an association of rofecoxib and celecoxib with myocardial infarction. PLoS One. 2007 Sep 05; 2(9):e840.
    View in: PubMed
    Score: 0.004
  100. An unsupervised classification method for inferring original case locations from low-resolution disease maps. Int J Health Geogr. 2006 Dec 08; 5:56.
    View in: PubMed
    Score: 0.004
  101. No place to hide--reverse identification of patients from published maps. N Engl J Med. 2006 Oct 19; 355(16):1741-2.
    View in: PubMed
    Score: 0.004
  102. 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: 0.004
  103. Reengineering real time outbreak detection systems for influenza epidemic monitoring. AMIA Annu Symp Proc. 2006; 866.
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    Score: 0.004
  104. Forest fragmentation predicts local scale heterogeneity of Lyme disease risk. Oecologia. 2005 Dec; 146(3):469-75.
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    Score: 0.004
  105. Identifying pediatric age groups for influenza vaccination using a real-time regional surveillance system. Am J Epidemiol. 2005 Oct 01; 162(7):686-93.
    View in: PubMed
    Score: 0.004
  106. Reverse geocoding: concerns about patient confidentiality in the display of geospatial health data. AMIA Annu Symp Proc. 2005; 905.
    View in: PubMed
    Score: 0.004
  107. Enhancing West Nile virus surveillance, United States. Emerg Infect Dis. 2004 Jun; 10(6):1129-33.
    View in: PubMed
    Score: 0.003
  108. 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: 0.003
  109. Spatial analysis of West Nile virus: rapid risk assessment of an introduced vector-borne zoonosis. Vector Borne Zoonotic Dis. 2002; 2(3):157-64.
    View in: PubMed
    Score: 0.003
  110. The Federal Menu Labeling Law and Twitter Discussions about Calories in the United States: An Interrupted Time-Series Analysis. Int J Environ Res Public Health. 2021 10 14; 18(20).
    View in: PubMed
    Score: 0.003
  111. Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study. Lancet Digit Health. 2021 09; 3(9):e577-e586.
    View in: PubMed
    Score: 0.003
  112. Evaluating an app-guided self-test for influenza: lessons learned for improving the feasibility of study designs to evaluate self-tests for respiratory viruses. BMC Infect Dis. 2021 Jun 29; 21(1):617.
    View in: PubMed
    Score: 0.003
  113. Associations between changes in population mobility in response to the COVID-19 pandemic and socioeconomic factors at the city level in China and country level worldwide: a retrospective, observational study. Lancet Digit Health. 2021 06; 3(6):e349-e359.
    View in: PubMed
    Score: 0.003
  114. 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: 0.003
  115. Beyond the First Dose - Covid-19 Vaccine Follow-through and Continued Protective Measures. N Engl J Med. 2021 Jul 08; 385(2):101-103.
    View in: PubMed
    Score: 0.003
  116. Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts. Sci Rep. 2021 03 25; 11(1):6928.
    View in: PubMed
    Score: 0.003
  117. The effect of seasonal respiratory virus transmission on syndromic surveillance for COVID-19 in Ontario, Canada. Lancet Infect Dis. 2021 05; 21(5):593-594.
    View in: PubMed
    Score: 0.003
  118. Association of "#covid19" Versus "#chinesevirus" With Anti-Asian Sentiments on Twitter: March 9-23, 2020. Am J Public Health. 2021 05; 111(5):956-964.
    View in: PubMed
    Score: 0.003
  119. Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study. J Med Internet Res. 2021 03 16; 23(3):e21023.
    View in: PubMed
    Score: 0.003
  120. Early detection of COVID-19 in China and the USA: summary of the implementation of a digital decision-support and disease surveillance tool. BMJ Open. 2020 12 10; 10(12):e041004.
    View in: PubMed
    Score: 0.003
  121. Geographic access to United States SARS-CoV-2 testing sites highlights healthcare disparities and may bias transmission estimates. J Travel Med. 2020 Nov 09; 27(7).
    View in: PubMed
    Score: 0.003
  122. Crowding and the shape of COVID-19 epidemics. Nat Med. 2020 12; 26(12):1829-1834.
    View in: PubMed
    Score: 0.003
  123. Factors Associated With US Adults' Likelihood of Accepting COVID-19 Vaccination. JAMA Netw Open. 2020 10 01; 3(10):e2025594.
    View in: PubMed
    Score: 0.003
  124. Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2. J Travel Med. 2020 08 20; 27(5).
    View in: PubMed
    Score: 0.003
  125. Investigation of Geographic and Macrolevel Variations in LGBTQ Patient Experiences: Longitudinal Social Media Analysis. J Med Internet Res. 2020 07 31; 22(7):e17087.
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    Score: 0.003
  126. The relationship between Jim Crow laws and social capital from 1997-2014: A 3-level multilevel hierarchical analysis across time, county and state. Soc Sci Med. 2020 10; 262:113142.
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    Score: 0.003
  127. Use of Twitter social media activity as a proxy for human mobility to predict the spatiotemporal spread of COVID-19 at global scale. Geospat Health. 2020 06 15; 15(1).
    View in: PubMed
    Score: 0.003
  128. The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action. Cancer Epidemiol Biomarkers Prev. 2020 07; 29(7):1283-1289.
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    Score: 0.003
  129. Dynamics of conflict during the Ebola outbreak in the Democratic Republic of the Congo 2018-2019. BMC Med. 2020 04 27; 18(1):113.
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    Score: 0.003
  130. Use of social media to assess the impact of equitable state policies on LGBTQ patient experiences: An exploratory study. Healthc (Amst). 2020 Jun; 8(2):100410.
    View in: PubMed
    Score: 0.003
  131. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science. 2020 05 01; 368(6490):493-497.
    View in: PubMed
    Score: 0.003
  132. Epidemiological data from the COVID-19 outbreak, real-time case information. Sci Data. 2020 03 24; 7(1):106.
    View in: PubMed
    Score: 0.003
  133. Seven pillars of precision digital health and medicine. Artif Intell Med. 2020 03; 103:101793.
    View in: PubMed
    Score: 0.002
  134. Real-time Epidemic Forecasting: Challenges and Opportunities. Health Secur. 2019 Jul/Aug; 17(4):268-275.
    View in: PubMed
    Score: 0.002
  135. Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings. Sci Rep. 2019 03 26; 9(1):5151.
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    Score: 0.002
  136. Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 05; 4(5):854-863.
    View in: PubMed
    Score: 0.002
  137. Using Twitter to Detect Psychological Characteristics of Self-Identified Persons With Autism Spectrum Disorder: A Feasibility Study. JMIR Mhealth Uhealth. 2019 02 12; 7(2):e12264.
    View in: PubMed
    Score: 0.002
  138. Feasibility of using social media to monitor outdoor air pollution in London, England. Prev Med. 2019 04; 121:86-93.
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    Score: 0.002
  139. The distribution of antibiotic use and its association with antibiotic resistance. Elife. 2018 12 18; 7.
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    Score: 0.002
  140. Using Smartphone Crowdsourcing to Redefine Normal and Febrile Temperatures in Adults: Results from the Feverprints Study. J Gen Intern Med. 2018 12; 33(12):2046-2047.
    View in: PubMed
    Score: 0.002
  141. What to know before forecasting the flu. PLoS Comput Biol. 2018 10; 14(10):e1005964.
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    Score: 0.002
  142. Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study. J Med Internet Res. 2018 10 12; 20(10):e10043.
    View in: PubMed
    Score: 0.002
  143. Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media. Psychiatr Q. 2018 09; 89(3):569-580.
    View in: PubMed
    Score: 0.002
  144. Investigating inequities in hospital care among lesbian, gay, bisexual, and transgender (LGBT) individuals using social media. Soc Sci Med. 2018 10; 215:92-97.
    View in: PubMed
    Score: 0.002
  145. 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: 0.002
  146. The Biopsychosocial-Digital Approach to Health and Disease: Call for a Paradigm Expansion. J Med Internet Res. 2018 05 18; 20(5):e189.
    View in: PubMed
    Score: 0.002
  147. Evaluation of the EpiCore outbreak verification system. Bull World Health Organ. 2018 May 01; 96(5):327-334.
    View in: PubMed
    Score: 0.002
  148. Policy implications of big data in the health sector. Bull World Health Organ. 2018 Jan 01; 96(1):66-68.
    View in: PubMed
    Score: 0.002
  149. Evaluating the Relationship Between Hospital Antibiotic Use and Antibiotic Resistance in Common Nosocomial Pathogens. Infect Control Hosp Epidemiol. 2017 12; 38(12):1457-1463.
    View in: PubMed
    Score: 0.002
  150. Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia. Psychiatry Res. 2017 11; 257:479-484.
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  151. Advances in using Internet searches to track dengue. PLoS Comput Biol. 2017 Jul; 13(7):e1005607.
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  152. Severe Fever with Thrombocytopenia Syndrome Virus in Humans, Domesticated Animals, Ticks, and Mosquitoes, Shaanxi Province, China. Am J Trop Med Hyg. 2017 Jun; 96(6):1346-1349.
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  153. Nosocomial amplification of MERS-coronavirus in South Korea, 2015. Trans R Soc Trop Med Hyg. 2017 06 01; 111(6):261-269.
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  154. Use of a Digital Health Application for Influenza Surveillance in China. Am J Public Health. 2017 07; 107(7):1130-1136.
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  155. Disparities in digital reporting of illness: A demographic and socioeconomic assessment. Prev Med. 2017 Aug; 101:18-22.
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  156. Using electronic health records and Internet search information for accurate influenza forecasting. BMC Infect Dis. 2017 05 08; 17(1):332.
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  157. Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts. Drug Saf. 2017 04; 40(4):317-331.
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  158. Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. Sci Rep. 2017 01 19; 7:40841.
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  159. Reconstruction of Zika Virus Introduction in Brazil. Emerg Infect Dis. 2017 01; 23(1):91-94.
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  160. 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.
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  161. 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.
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  162. 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.
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  163. Media content about vaccines in the United States and Canada, 2012-2014: An analysis using data from the Vaccine Sentimeter. Vaccine. 2016 12 07; 34(50):6229-6235.
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  164. 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.
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  165. Environment-Wide Association Study of Blood Pressure in the National Health and Nutrition Examination Survey (1999-2012). Sci Rep. 2016 07 26; 6:30373.
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  166. Disease Surveillance on Complex Social Networks. PLoS Comput Biol. 2016 07; 12(7):e1004928.
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  167. Social Media Listening for Routine Post-Marketing Safety Surveillance. Drug Saf. 2016 May; 39(5):443-54.
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  168. Mapping global environmental suitability for Zika virus. Elife. 2016 04 19; 5.
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  169. Evaluating the effectiveness of localized control strategies to curtail chikungunya. Sci Rep. 2016 Apr 05; 6:23997.
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  170. Anticipating the international spread of Zika virus from Brazil. Lancet. 2016 Jan 23; 387(10016):335-336.
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  171. Diversion and Illicit Sale of Extended Release Tapentadol in the United States. Pain Med. 2016 08; 17(8):1490-6.
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  172. Measuring patient-perceived quality of care in US hospitals using Twitter. BMJ Qual Saf. 2016 06; 25(6):404-13.
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  173. Risk of Type 2 Diabetes Is Lower in US Adults Taking Chromium-Containing Supplements. J Nutr. 2015 Dec; 145(12):2675-82.
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  174. 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.
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  175. The global distribution of Crimean-Congo hemorrhagic fever. Trans R Soc Trop Med Hyg. 2015 Aug; 109(8):503-13.
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  176. A passage from India: Association between air traffic and reported cases of New Delhi Metallo-beta-lactamase 1 from 2007 to 2012. Travel Med Infect Dis. 2015 Jul-Aug; 13(4):295-9.
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  177. Forecasting malaria in a highly endemic country using environmental and clinical predictors. Malar J. 2015 Jun 18; 14:245.
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  178. Methodological approaches to evaluate the impact of FDA drug safety communications. Drug Saf. 2015 Jun; 38(6):565-75.
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  179. A global compendium of human Crimean-Congo haemorrhagic fever virus occurrence. Sci Data. 2015; 2:150016.
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  180. Comparing timeliness, content, and disease severity of formal and informal source outbreak reporting. BMC Infect Dis. 2015 Mar 20; 15:135.
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  181. 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.
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  182. Using internet search queries for infectious disease surveillance: screening diseases for suitability. BMC Infect Dis. 2014 Dec 31; 14:690.
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  183. 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.
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  184. Evaluation of local media surveillance for improved disease recognition and monitoring in global hotspot regions. PLoS One. 2014; 9(10):e110236.
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  185. Global database of leishmaniasis occurrence locations, 1960-2012. Sci Data. 2014; 1:140036.
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  186. Mapping the zoonotic niche of Ebola virus disease in Africa. Elife. 2014 Sep 08; 3:e04395.
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  187. Global distribution maps of the leishmaniases. Elife. 2014 Jun 27; 3.
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  188. 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.
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  189. A global compendium of human dengue virus occurrence. Sci Data. 2014; 1:140004.
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  190. Toward a county-level map of tuberculosis rates in the U.S. Am J Prev Med. 2014 May; 46(5):e49-51.
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  191. Digital drug safety surveillance: monitoring pharmaceutical products in twitter. Drug Saf. 2014 May; 37(5):343-50.
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  192. 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.
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  193. Clinic accessibility and clinic-level predictors of the geographic variation in 2009 pandemic influenza vaccine coverage in Montreal, Canada. Influenza Other Respir Viruses. 2014 May; 8(3):317-28.
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  194. A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza Other Respir Viruses. 2014 May; 8(3):309-16.
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  195. Predictors of the timing of vaccination uptake: The 2009 influenza pandemic (H1N1) in Montreal. Am J Prev Med. 2013 Nov; 45(5):622-8.
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  196. Travel-associated illness trends and clusters, 2000-2010. Emerg Infect Dis. 2013 Jul; 19(7):1049-73.
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  197. Adult prescription drug use and pediatric medication exposures and poisonings. Pediatrics. 2013 Jul; 132(1):18-27.
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  198. Measuring vaccine confidence: analysis of data obtained by a media surveillance system used to analyse public concerns about vaccines. Lancet Infect Dis. 2013 Jul; 13(7):606-13.
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  199. The global distribution and burden of dengue. Nature. 2013 Apr 25; 496(7446):504-7.
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  200. Entry and exit screening of airline travellers during the A(H1N1) 2009 pandemic: a retrospective evaluation. Bull World Health Organ. 2013 May 01; 91(5):368-76.
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  201. GeoSentinel surveillance of illness in returned travelers, 2007-2011. Ann Intern Med. 2013 Mar 19; 158(6):456-68.
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  202. 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.
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  203. Using network theory to identify the causes of disease outbreaks of unknown origin. J R Soc Interface. 2013 Apr 06; 10(81):20120904.
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  204. Global mapping of infectious disease. Philos Trans R Soc Lond B Biol Sci. 2013 Mar 19; 368(1614):20120250.
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  205. Neighborhood determinants of 2009 pandemic A/H1N1 influenza vaccination in Montreal, Quebec, Canada. Am J Epidemiol. 2012 Nov 15; 176(10):897-908.
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  206. Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl Trop Dis. 2012; 6(8):e1760.
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  207. Usefulness of school absenteeism data for predicting influenza outbreaks, United States. Emerg Infect Dis. 2012 Aug; 18(8):1375-7.
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  208. Digital epidemiology. PLoS Comput Biol. 2012; 8(7):e1002616.
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  209. Research design considerations for clinical studies of abuse-deterrent opioid analgesics: IMMPACT recommendations. Pain. 2012 Oct; 153(10):1997-2008.
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  210. 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.
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  211. Timeliness of nongovernmental versus governmental global outbreak communications. Emerg Infect Dis. 2012 Jul; 18(7):1184-7.
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  212. 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.
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  213. A pharmacoepidemiological network model for drug safety surveillance: statins and rhabdomyolysis. Drug Saf. 2012 May 01; 35(5):395-406.
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  214. Emerging fungal threats to animal, plant and ecosystem health. Nature. 2012 Apr 11; 484(7393):186-94.
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  216. Integration and visualization of host-pathogen data related to infectious diseases. Bioinformatics. 2011 Aug 15; 27(16):2279-87.
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  217. Socio-economic disparities in the burden of seasonal influenza: the effect of social and material deprivation on rates of influenza infection. PLoS One. 2011 Feb 17; 6(2):e17207.
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  218. Increased influenza-related healthcare utilization by residents of an urban aboriginal community. Epidemiol Infect. 2011 Dec; 139(12):1902-8.
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  219. Integrating spatial epidemiology into a decision model for evaluation of facial palsy in children. Arch Pediatr Adolesc Med. 2011 Jan; 165(1):61-7.
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  220. Does collocation inform the impact of collaboration? PLoS One. 2010 Dec 15; 5(12):e14279.
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  221. Event-based biosurveillance of respiratory disease in Mexico, 2007-2009: connection to the 2009 influenza A(H1N1) pandemic? Euro Surveill. 2010 Jul 29; 15(30).
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  222. Strengthening the International Health Regulations: lessons from the H1N1 pandemic. Health Policy Plan. 2010 Nov; 25(6):505-9.
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  223. 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.
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  224. The power of social networking in medicine. Nat Biotechnol. 2009 Oct; 27(10):888-90.
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  225. Evaluation of the United States Department Of Agriculture Northeast Area-wide Tick Control Project by meta-analysis. Vector Borne Zoonotic Dis. 2009 Aug; 9(4):423-30.
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  226. National addictions vigilance intervention and prevention program (NAVIPPRO): a real-time, product-specific, public health surveillance system for monitoring prescription drug abuse. Pharmacoepidemiol Drug Saf. 2008 Dec; 17(12):1142-54.
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  227. Evaluation of influenza prevention in the workplace using a personally controlled health record: randomized controlled trial. J Med Internet Res. 2008 Mar 14; 10(1):e5.
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  228. Efficacy of influenza vaccination in HIV-positive patients: a systematic review and meta-analysis. HIV Med. 2008 Jan; 9(1):57-61.
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  229. Automated real time constant-specificity surveillance for disease outbreaks. BMC Med Inform Decis Mak. 2007 Jun 13; 7:15.
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  230. Lumbar puncture ordering and results in the pediatric population: a promising data source for surveillance systems. Acad Emerg Med. 2006 Jul; 13(7):767-73.
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  231. Validation of syndromic surveillance for respiratory infections. Ann Emerg Med. 2006 Mar; 47(3):265.e1.
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  232. Running outside the baseline: impact of the 2004 Major League Baseball postseason on emergency department use. Ann Emerg Med. 2005 Oct; 46(4):386-7.
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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.