ABOUT THE RESEARCHER

OVERVIEW

Current research activities focus on predicting patterns of influenza epidemics and pandemics, with specific interests in the efficacy of disease control strategies including vaccination, quarantine and travel restrictions. He has received funding for this research from the National Library of Medicine, National Institutes of Allergy and Infectious Diseases and Canadian Institutes of Health Research. He is also leading the development several novel disease surveillance systems, including HealthMap.org, an internet-based global infectious disease intelligence system. The system receives grant funding from Google.org and is currently in use by the CDC, WHO, DHS, DOD, HHS, EU among others. As reported in the New England Journal of Medicine, HealthMap data provided one of the earliest indications of the novel H1N1 virus in 2009. He also published extensively on issues of patient privacy (including a recent piece in the New England Journal). His research also includes the development novel surveillance methods and informatics approaches for the post-marketing surveillance of therapeutics.

BACKGROUND

Brownstein was trained as an epidemiologist at Yale University, where he received his PhD. Dr. Brownstein’s research interests are in the development of methods and data sources in public health informatics which focuses on two major areas: (1) the design, evaluation and implementation of public health surveillance systems and (2) statistical modeling of public health surveillance data to improve prevention and control activities. This research has focused on a variety of infectious disease systems including malaria, HIV, dengue, West Nile virus, Lyme disease, RSV, salmonella, listeria and influenza.

Dr. Brownstein has advised the World Health Organization, Institute of Medicine, the US Departments of Health and Human Services and Homeland Security, and the White House on real-time public health surveillance data. He has used this experience in his role as Vice President of the International Society for Disease Surveillance. He has authored over one hundred articles in the area of disease surveillance. This work has been reported on widely including pieces in the New England Journal of Medicine, Science, Nature, New York Times, The Wall Street Journal, CNN, National Public Radio and the BBC.

Affiliations:

  • Professor, Department of Pediatrics, Harvard Medical School
  • Director, Computational Epidemiology Group, Children’s Hospital Boston
  • Research Scientist, Partners Healthcare
  • Adjunct Professor, McGill University
  • Vice President, International Society for Disease Surveillance

PUBLICATIONS

Publications powered by Harvard Catalyst Profiles

  1. Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study. Lancet Digit Health. 2021 Jan 18. View abstract
  2. Anosmia and other SARS-CoV-2 positive test-associated symptoms, across three national, digital surveillance platforms as the COVID-19 pandemic and response unfolded: an observation study. medRxiv. 2020 Dec 16. View abstract
  3. 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 abstract
  4. Internet search patterns reveal firearm sales, policies, and deaths. NPJ Digit Med. 2020 Nov 20; 3(1):152. View abstract
  5. 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 abstract
  6. Crowding and the shape of COVID-19 epidemics. Nat Med. 2020 12; 26(12):1829-1834. View abstract
  7. Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study. PLoS One. 2020; 15(10):e0239886. View abstract
  8. Factors Associated With US Adults' Likelihood of Accepting COVID-19 Vaccination. JAMA Netw Open. 2020 10 01; 3(10):e2025594. View abstract
  9. Online negative sentiment towards Mexicans and Hispanics and impact on mental well-being: A time-series analysis of social media data during the 2016 United States presidential election. Heliyon. 2020 Sep; 6(9):e04910. View abstract
  10. Mask Wearing and Control of SARS-CoV-2 Transmission in the United States. medRxiv. 2020 Aug 28. View abstract
  11. 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 abstract
  12. Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2. J Travel Med. 2020 08 20; 27(5). View abstract
  13. SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. medRxiv. 2020 Aug 19. View abstract
  14. Health-care seeking behavior for respiratory illness among Flu Near You participants in the United States during the 2015-16 through 2018-19 influenza season. J Infect Dis. 2020 Aug 06. View abstract
  15. Investigation of Geographic and Macrolevel Variations in LGBTQ Patient Experiences: Longitudinal Social Media Analysis. J Med Internet Res. 2020 07 31; 22(7):e17087. View abstract
  16. 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 abstract
  17. 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. View abstract
  18. 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 abstract
  19. Putting the Public Back in Public Health - Surveying Symptoms of Covid-19. N Engl J Med. 2020 Aug 13; 383(7):e45. View abstract
  20. Sharing patient-level real-time COVID-19 data. Lancet Digit Health. 2020 07; 2(7):e345. View abstract
  21. Mapping global variation in human mobility. Nat Hum Behav. 2020 08; 4(8):800-810. View abstract
  22. The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action. Cancer Epidemiol Biomarkers Prev. 2020 07; 29(7):1283-1289. View abstract
  23. Leveraging black-market street buprenorphine pricing to increase capacity to treat opioid addiction, 2010-2018. Prev Med. 2020 08; 137:106105. View abstract
  24. 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 abstract
  25. 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 abstract
  26. 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 abstract
  27. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science. 2020 05 01; 368(6490):493-497. View abstract
  28. Epidemiological data from the COVID-19 outbreak, real-time case information. Sci Data. 2020 03 24; 7(1):106. View abstract
  29. The effect of human mobility and control measures on the COVID-19 epidemic in China. medRxiv. 2020 Mar 06. View abstract
  30. Lymelight: forecasting Lyme disease risk using web search data. NPJ Digit Med. 2020; 3:16. View abstract
  31. Lymelight: forecasting Lyme disease risk using web search data. NPJ Digit Med. 2020 Feb 04; 3(1):16. View abstract
  32. Seven pillars of precision digital health and medicine. Artif Intell Med. 2020 03; 103:101793. View abstract
  33. Interest in Tobacco Treatment Delivered During Rideshare Travel. Mayo Clin Proc Innov Qual Outcomes. 2019 Dec; 3(4):461-465. View abstract
  34. Real-Time Digital Surveillance of Vaping-Induced Pulmonary Disease. N Engl J Med. 2019 10 31; 381(18):1778-1780. View abstract
  35. Real-time Epidemic Forecasting: Challenges and Opportunities. Health Secur. 2019 Jul/Aug; 17(4):268-275. View abstract
  36. Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 May; 4(5):901. View abstract
  37. Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 May; 4(5):900. View abstract
  38. 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. View abstract
  39. Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 05; 4(5):854-863. View abstract
  40. Passenger or Patient? The Automobile: A New Frontier in Health Promotion. Health Promot Pract. 2019 05; 20(3):328-332. View abstract
  41. 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 abstract
  42. Feasibility of using social media to monitor outdoor air pollution in London, England. Prev Med. 2019 04; 121:86-93. View abstract
  43. The distribution of antibiotic use and its association with antibiotic resistance. Elife. 2018 12 18; 7. View abstract
  44. Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study. JMIR Ment Health. 2018 Dec 13; 5(4):e11483. View abstract
  45. 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 abstract
  46. Estimation of Pneumonic Plague Transmission in Madagascar, August-November 2017. PLoS Curr. 2018 Nov 01; 10. View abstract
  47. 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 abstract
  48. What to know before forecasting the flu. PLoS Comput Biol. 2018 10; 14(10):e1005964. View abstract
  49. 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 abstract
  50. 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 abstract
  51. 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 abstract
  52. Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan. EPJ Data Sci. 2018; 7(1):16. View abstract
  53. Antibiotic Resistance Increases with Local Temperature. Nat Clim Chang. 2018 Jun; 8(6):510-514. View abstract
  54. The Biopsychosocial-Digital Approach to Health and Disease: Call for a Paradigm Expansion. J Med Internet Res. 2018 05 18; 20(5):e189. View abstract
  55. 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 abstract
  56. Evaluation of the EpiCore outbreak verification system. Bull World Health Organ. 2018 May 01; 96(5):327-334. View abstract
  57. Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. JMIR Public Health Surveill. 2018 Jan 09; 4(1):e4. View abstract
  58. Social Media Impact of the Food and Drug Administration's Drug Safety Communication Messaging About Zolpidem: Mixed-Methods Analysis. JMIR Public Health Surveill. 2018 Jan 05; 4(1):e1. View abstract
  59. Policy implications of big data in the health sector. Bull World Health Organ. 2018 Jan 01; 96(1):66-68. View abstract
  60. 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 abstract
  61. Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR Public Health Surveill. 2017 Nov 01; 3(4):e83. View abstract
  62. 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 abstract
  63. 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 abstract
  64. 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 abstract
  65. Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia. Psychiatry Res. 2017 11; 257:479-484. View abstract
  66. Advances in using Internet searches to track dengue. PLoS Comput Biol. 2017 Jul; 13(7):e1005607. View abstract
  67. 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. View abstract
  68. Nosocomial amplification of MERS-coronavirus in South Korea, 2015. Trans R Soc Trop Med Hyg. 2017 06 01; 111(6):261-269. View abstract
  69. Use of a Digital Health Application for Influenza Surveillance in China. Am J Public Health. 2017 07; 107(7):1130-1136. View abstract
  70. Disparities in digital reporting of illness: A demographic and socioeconomic assessment. Prev Med. 2017 Aug; 101:18-22. View abstract
  71. Using electronic health records and Internet search information for accurate influenza forecasting. BMC Infect Dis. 2017 05 08; 17(1):332. View abstract
  72. Determinants of Participants' Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System. JMIR Public Health Surveill. 2017 Apr 07; 3(2):e18. View abstract
  73. 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. View abstract
  74. Vaccine compliance and the 2016 Arkansas mumps outbreak. Lancet Infect Dis. 2017 04; 17(4):361-362. View abstract
  75. Spatial Determinants of Ebola Virus Disease Risk for the West African Epidemic. PLoS Curr. 2017 Mar 31; 9. View abstract
  76. Predicting social response to infectious disease outbreaks from internet-based news streams. Ann Oper Res. 2018; 263(1):551-564. View abstract
  77. Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. Sci Rep. 2017 01 19; 7:40841. View abstract
  78. Reconstruction of Zika Virus Introduction in Brazil. Emerg Infect Dis. 2017 01; 23(1):91-94. View abstract
  79. 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 abstract
  80. 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 abstract
  81. 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 abstract
  82. Corrigendum to "Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China" [Environ. Res. 150 (2016) 299-305]. Environ Res. 2017 04; 154:459-460. View abstract
  83. Social Media as a Sentinel for Disease Surveillance: What Does Sociodemographic Status Have to Do with It? PLoS Curr. 2016 Dec 07; 8. View abstract
  84. A Platform for Monitoring Regional Antimicrobial Resistance, Using Online Data Sources: ResistanceOpen. J Infect Dis. 2016 12 01; 214(suppl_4):S393-S398. View abstract
  85. 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. View abstract
  86. Global Capacity for Emerging Infectious Disease Detection, 1996-2014. Emerg Infect Dis. 2016 10; 22(10):E1-6. View abstract
  87. Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico. Sci Rep. 2016 Sep 26; 6:33707. View abstract
  88. Yellow fever vaccination coverage heterogeneities in Luanda province, Angola. Lancet Infect Dis. 2016 09; 16(9):993-995. View abstract
  89. 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 abstract
  90. Environment-Wide Association Study of Blood Pressure in the National Health and Nutrition Examination Survey (1999-2012). Sci Rep. 2016 07 26; 6:30373. View abstract
  91. Genetic evidence for avian influenza H5N1 viral transmission along the Black Sea-Mediterranean Flyway. J Gen Virol. 2016 09; 97(9):2129-2134. View abstract
  92. Disease Surveillance on Complex Social Networks. PLoS Comput Biol. 2016 07; 12(7):e1004928. View abstract
  93. Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China. Environ Res. 2016 10; 150:299-305. View abstract
  94. Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak. JMIR Public Health Surveill. 2016 Jun 01; 2(1):e30. View abstract
  95. Global distribution and environmental suitability for chikungunya virus, 1952 to 2015. Euro Surveill. 2016 May 19; 21(20). View abstract
  96. Internet-based media coverage on dengue in Sri Lanka between 2007 and 2015. Glob Health Action. 2016; 9:31620. View abstract
  97. Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Sci Rep. 2016 05 11; 6:25732. View abstract
  98. Social Media Listening for Routine Post-Marketing Safety Surveillance. Drug Saf. 2016 May; 39(5):443-54. View abstract
  99. Mapping global environmental suitability for Zika virus. Elife. 2016 04 19; 5. View abstract
  100. Evaluating the effectiveness of localized control strategies to curtail chikungunya. Sci Rep. 2016 Apr 05; 6:23997. View abstract
  101. Publicly Available Online Tool Facilitates Real-Time Monitoring Of Vaccine Conversations And Sentiments. Health Aff (Millwood). 2016 Feb; 35(2):341-7. View abstract
  102. Anticipating the international spread of Zika virus from Brazil. Lancet. 2016 Jan 23; 387(10016):335-336. View abstract
  103. SOCIAL MEDIA MINING FOR PUBLIC HEALTH MONITORING AND SURVEILLANCE. Pac Symp Biocomput. 2016; 21:468-79. View abstract
  104. Internet-based media coverage on dengue in Sri Lanka between 2007 and 2015. Glob Health Action. 2016 Jan; 9(1):31620. View abstract
  105. Diversion and Illicit Sale of Extended Release Tapentadol in the United States. Pain Med. 2016 08; 17(8):1490-6. View abstract
  106. On-demand delivery of influenza vaccination. Ann Intern Med. 2015 Nov 17; 163(10):806-7. View abstract
  107. Mortality Risk Factors for Middle East Respiratory Syndrome Outbreak, South Korea, 2015. Emerg Infect Dis. 2015 Nov; 21(11):2088-90. View abstract
  108. Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput Biol. 2015 Oct; 11(10):e1004513. View abstract
  109. Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. 2015; 4. View abstract
  110. Measuring patient-perceived quality of care in US hospitals using Twitter. BMJ Qual Saf. 2016 06; 25(6):404-13. View abstract
  111. Risk of Type 2 Diabetes Is Lower in US Adults Taking Chromium-Containing Supplements. J Nutr. 2015 Dec; 145(12):2675-82. View abstract
  112. The velocity of Ebola spread in parts of west Africa. Lancet Infect Dis. 2015 Sep; 15(9):1005-1007. View abstract
  113. Vaccination Compliance and the US Measles Epidemic--Reply. JAMA Pediatr. 2015 Sep; 169(9):877-8. View abstract
  114. Erratum to: Methodological Approaches to Evaluate the Impact of FDA Drug Safety Communications. Drug Saf. 2015 Sep; 38(9):845. View abstract
  115. Spatial and Temporal Clustering of Chikungunya Virus Transmission in Dominica. PLoS Negl Trop Dis. 2015; 9(8):e0003977. View abstract
  116. Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons. Am J Public Health. 2015 Oct; 105(10):2124-30. View abstract
  117. Increasing Patient Engagement in Pharmacovigilance Through Online Community Outreach and Mobile Reporting Applications: An Analysis of Adverse Event Reporting for the Essure Device in the US. Pharmaceut Med. 2015; 29(6):331-340. View abstract
  118. Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection. Emerg Infect Dis. 2015 Aug; 21(8):1285-92. View abstract
  119. 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 abstract
  120. The global distribution of Crimean-Congo hemorrhagic fever. Trans R Soc Trop Med Hyg. 2015 Aug; 109(8):503-13. View abstract
  121. 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. View abstract
  122. Forecasting malaria in a highly endemic country using environmental and clinical predictors. Malar J. 2015 Jun 18; 14:245. View abstract
  123. Quantitative methods of identifying the key nodes in the illegal wildlife trade network. Proc Natl Acad Sci U S A. 2015 Jun 30; 112(26):7948-53. View abstract
  124. Characterizing Sleep Issues Using Twitter. J Med Internet Res. 2015 Jun 08; 17(6):e140. View abstract
  125. Methodological approaches to evaluate the impact of FDA drug safety communications. Drug Saf. 2015 Jun; 38(6):565-75. View abstract
  126. Surveillance of Acute Respiratory Infections Using Community-Submitted Symptoms and Specimens for Molecular Diagnostic Testing. PLoS Curr. 2015 May 27; 7. View abstract
  127. Surveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology. PLoS One. 2015; 10(5):e0127406. View abstract
  128. The Role of Social Mobilization in Controlling Ebola Virus in Lofa County, Liberia. PLoS Curr. 2015 May 15; 7. View abstract
  129. The digital phenotype. Nat Biotechnol. 2015 May; 33(5):462-3. View abstract
  130. Substandard vaccination compliance and the 2015 measles outbreak. JAMA Pediatr. 2015 May; 169(5):494-5. View abstract
  131. 2014 ebola outbreak: media events track changes in observed reproductive number. PLoS Curr. 2015 Apr 28; 7. View abstract
  132. Searching the Web for Influenza Vaccines: HealthMap Vaccine Finder. Am J Public Health. 2015 Aug; 105(8):e134-9. View abstract
  133. A global compendium of human Crimean-Congo haemorrhagic fever virus occurrence. Sci Data. 2015; 2:150016. View abstract
  134. Estimating influenza attack rates in the United States using a participatory cohort. Sci Rep. 2015 Apr 02; 5:9540. View abstract
  135. Comparing timeliness, content, and disease severity of formal and informal source outbreak reporting. BMC Infect Dis. 2015 Mar 20; 15:135. View abstract
  136. Monitoring disease trends using hospital traffic data from high resolution satellite imagery: a feasibility study. Sci Rep. 2015 Mar 13; 5:9112. View abstract
  137. 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 abstract
  138. Computational approaches to influenza surveillance: beyond timeliness. Cell Host Microbe. 2015 Mar 11; 17(3):275-278. View abstract
  139. Ethical challenges of big data in public health. PLoS Comput Biol. 2015 Feb; 11(2):e1003904. View abstract
  140. New digital technologies for the surveillance of infectious diseases at mass gathering events. Clin Microbiol Infect. 2015 Feb; 21(2):134-40. View abstract
  141. Using internet search queries for infectious disease surveillance: screening diseases for suitability. BMC Infect Dis. 2014 Dec 31; 14:690. View abstract
  142. Internet and free press are associated with reduced lags in global outbreak reporting. PLoS Curr. 2014 Oct 30; 6. View abstract
  143. 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 abstract
  144. 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 abstract
  145. Digital surveillance for enhanced detection and response to outbreaks. Lancet Infect Dis. 2014 Nov; 14(11):1035-1037. View abstract
  146. Evaluation of local media surveillance for improved disease recognition and monitoring in global hotspot regions. PLoS One. 2014; 9(10):e110236. View abstract
  147. Global database of leishmaniasis occurrence locations, 1960-2012. Sci Data. 2014; 1:140036. View abstract
  148. Mapping the zoonotic niche of Ebola virus disease in Africa. Elife. 2014 Sep 08; 3:e04395. View abstract
  149. Using clinicians' search query data to monitor influenza epidemics. Clin Infect Dis. 2014 Nov 15; 59(10):1446-50. View abstract
  150. Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports. Prev Med. 2014 Oct; 67:264-9. View abstract
  151. One Health in social networks and social media. Rev Sci Tech. 2014 Aug; 33(2):629-37. View abstract
  152. Erratum to: Digital Drug Safety Surveillance: Monitoring Pharmaceutical Products in Twitter. Drug Saf. 2014 Jul; 37(7):555. View abstract
  153. Global distribution maps of the leishmaniases. Elife. 2014 Jun 27; 3. View abstract
  154. Public health for the people: participatory infectious disease surveillance in the digital age. Emerg Themes Epidemiol. 2014; 11:7. View abstract
  155. Assessing the origin of and potential for international spread of chikungunya virus from the Caribbean. PLoS Curr. 2014 Jun 06; 6. View abstract
  156. 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 abstract
  157. A global compendium of human dengue virus occurrence. Sci Data. 2014; 1:140004. View abstract
  158. Digital drug safety surveillance: monitoring pharmaceutical products in twitter. Drug Saf. 2014 May; 37(5):343-50. View abstract
  159. Toward a county-level map of tuberculosis rates in the U.S. Am J Prev Med. 2014 May; 46(5):e49-51. View abstract
  160. Modeling to predict cases of hantavirus pulmonary syndrome in Chile. PLoS Negl Trop Dis. 2014 Apr; 8(4):e2779. View abstract
  161. 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 abstract
  162. 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 abstract
  163. Evaluation of Internet-based dengue query data: Google Dengue Trends. PLoS Negl Trop Dis. 2014 Feb; 8(2):e2713. View abstract
  164. 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 abstract
  165. 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. View abstract
  166. A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza Other Respir Viruses. 2014 May; 8(3):309-16. View abstract
  167. The perfect storm of information: combining traditional and non-traditional data sources for public health situational awareness during hurricane response. PLoS Curr. 2013 12 16; 5. View abstract
  168. 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 abstract
  169. Using search queries for malaria surveillance, Thailand. Malar J. 2013 Nov 04; 12:390. View abstract
  170. Predictors of the timing of vaccination uptake: The 2009 influenza pandemic (H1N1) in Montreal. Am J Prev Med. 2013 Nov; 45(5):622-8. View abstract
  171. Crowdsourcing black market prices for prescription opioids. J Med Internet Res. 2013 Aug 16; 15(8):e178. View abstract
  172. Why we need crowdsourced data in infectious disease surveillance. Curr Infect Dis Rep. 2013 Aug; 15(4):316-9. View abstract
  173. Potential for the international spread of middle East respiratory syndrome in association with mass gatherings in saudi arabia. PLoS Curr. 2013 Jul 17; 5. View abstract
  174. Influenza A (H7N9) and the importance of digital epidemiology. N Engl J Med. 2013 Aug 01; 369(5):401-4. View abstract
  175. Twitter as a sentinel in emergency situations: lessons from the Boston marathon explosions. PLoS Curr. 2013 Jul 02; 5. View abstract
  176. Travel-associated illness trends and clusters, 2000-2010. Emerg Infect Dis. 2013 Jul; 19(7):1049-73. View abstract
  177. Forecasting peaks of seasonal influenza epidemics. PLoS Curr. 2013 Jun 21; 5. View abstract
  178. An overview of internet biosurveillance. Clin Microbiol Infect. 2013 Nov; 19(11):1006-13. View abstract
  179. Adult prescription drug use and pediatric medication exposures and poisonings. Pediatrics. 2013 Jul; 132(1):18-27. View abstract
  180. Monitoring influenza epidemics in china with search query from baidu. PLoS One. 2013; 8(5):e64323. View abstract
  181. 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. View abstract
  182. Assessing the online social environment for surveillance of obesity prevalence. PLoS One. 2013; 8(4):e61373. View abstract
  183. The global distribution and burden of dengue. Nature. 2013 Apr 25; 496(7446):504-7. View abstract
  184. Big data opportunities for global infectious disease surveillance. PLoS Med. 2013; 10(4):e1001413. View abstract
  185. 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. View abstract
  186. GeoSentinel surveillance of illness in returned travelers, 2007-2011. Ann Intern Med. 2013 Mar 19; 158(6):456-68. View abstract
  187. 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 abstract
  188. Using network theory to identify the causes of disease outbreaks of unknown origin. J R Soc Interface. 2013 Apr 06; 10(81):20120904. View abstract
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