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1. 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 abstract
2. Association of "#covid19" Versus "#chinesevirus" With Anti-Asian Sentiments on Twitter: March 9-23, 2020. Am J Public Health. 2021 May; 111(5):956-964. View abstract
3. Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study. J Med Internet Res. 2021 Mar 16; 23(3):e21023. View abstract
4. Covid-19 vaccine apps should deliver more to patients. Lancet Digit Health. 2021 Feb 25. View abstract
5. 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 abstract
6. 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
7. 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
8. Internet search patterns reveal firearm sales, policies, and deaths. NPJ Digit Med. 2020 Nov 20; 3(1):152. View abstract
9. 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
10. Crowding and the shape of COVID-19 epidemics. Nat Med. 2020 12; 26(12):1829-1834. View abstract
11. Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study. PLoS One. 2020; 15(10):e0239886. View abstract
12. Factors Associated With US Adults' Likelihood of Accepting COVID-19 Vaccination. JAMA Netw Open. 2020 10 01; 3(10):e2025594. View abstract
13. 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
14. Mask Wearing and Control of SARS-CoV-2 Transmission in the United States. medRxiv. 2020 Aug 28. View abstract
15. 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
16. Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2. J Travel Med. 2020 08 20; 27(5). View abstract
17. 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
18. 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
19. 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
20. 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
21. 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
22. 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
23. Putting the Public Back in Public Health - Surveying Symptoms of Covid-19. N Engl J Med. 2020 Aug 13; 383(7):e45. View abstract
24. Sharing patient-level real-time COVID-19 data. Lancet Digit Health. 2020 07; 2(7):e345. View abstract
25. Mapping global variation in human mobility. Nat Hum Behav. 2020 08; 4(8):800-810. View abstract
26. The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action. Cancer Epidemiol Biomarkers Prev. 2020 07; 29(7):1283-1289. View abstract
27. Leveraging black-market street buprenorphine pricing to increase capacity to treat opioid addiction, 2010-2018. Prev Med. 2020 08; 137:106105. View abstract
28. 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
29. 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
30. 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
31. 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
32. Epidemiological data from the COVID-19 outbreak, real-time case information. Sci Data. 2020 03 24; 7(1):106. View abstract
33. The effect of human mobility and control measures on the COVID-19 epidemic in China. medRxiv. 2020 Mar 06. View abstract
34. Lymelight: forecasting Lyme disease risk using web search data. NPJ Digit Med. 2020; 3:16. View abstract
35. Lymelight: forecasting Lyme disease risk using web search data. NPJ Digit Med. 2020 Feb 04; 3(1):16. View abstract
36. Seven pillars of precision digital health and medicine. Artif Intell Med. 2020 03; 103:101793. View abstract
37. Interest in Tobacco Treatment Delivered During Rideshare Travel. Mayo Clin Proc Innov Qual Outcomes. 2019 Dec; 3(4):461-465. View abstract
38. Real-Time Digital Surveillance of Vaping-Induced Pulmonary Disease. N Engl J Med. 2019 10 31; 381(18):1778-1780. View abstract
39. Real-time Epidemic Forecasting: Challenges and Opportunities. Health Secur. 2019 Jul/Aug; 17(4):268-275. View abstract
40. Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 May; 4(5):901. View abstract
41. Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 May; 4(5):900. View abstract
42. 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
43. Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 05; 4(5):854-863. View abstract
44. Passenger or Patient? The Automobile: A New Frontier in Health Promotion. Health Promot Pract. 2019 05; 20(3):328-332. View abstract
45. 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
46. Feasibility of using social media to monitor outdoor air pollution in London, England. Prev Med. 2019 04; 121:86-93. View abstract
47. The distribution of antibiotic use and its association with antibiotic resistance. Elife. 2018 12 18; 7. View abstract
48. Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study. JMIR Ment Health. 2018 Dec 13; 5(4):e11483. View abstract
49. 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
50. Estimation of Pneumonic Plague Transmission in Madagascar, August-November 2017. PLoS Curr. 2018 Nov 01; 10. View abstract
51. 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
52. What to know before forecasting the flu. PLoS Comput Biol. 2018 10; 14(10):e1005964. View abstract
53. 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
54. 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
55. 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
56. 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
57. Antibiotic Resistance Increases with Local Temperature. Nat Clim Chang. 2018 Jun; 8(6):510-514. View abstract
58. 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
59. 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
60. Evaluation of the EpiCore outbreak verification system. Bull World Health Organ. 2018 May 01; 96(5):327-334. View abstract
61. 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
62. 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
63. Policy implications of big data in the health sector. Bull World Health Organ. 2018 Jan 01; 96(1):66-68. View abstract
64. 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
65. Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR Public Health Surveill. 2017 Nov 01; 3(4):e83. View abstract
66. 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
67. 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
68. 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
69. Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia. Psychiatry Res. 2017 11; 257:479-484. View abstract
70. Advances in using Internet searches to track dengue. PLoS Comput Biol. 2017 Jul; 13(7):e1005607. View abstract
71. 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
72. Nosocomial amplification of MERS-coronavirus in South Korea, 2015. Trans R Soc Trop Med Hyg. 2017 06 01; 111(6):261-269. View abstract
73. Use of a Digital Health Application for Influenza Surveillance in China. Am J Public Health. 2017 07; 107(7):1130-1136. View abstract
74. Disparities in digital reporting of illness: A demographic and socioeconomic assessment. Prev Med. 2017 Aug; 101:18-22. View abstract
75. Using electronic health records and Internet search information for accurate influenza forecasting. BMC Infect Dis. 2017 05 08; 17(1):332. View abstract
76. 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
77. 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
78. Vaccine compliance and the 2016 Arkansas mumps outbreak. Lancet Infect Dis. 2017 04; 17(4):361-362. View abstract
79. Spatial Determinants of Ebola Virus Disease Risk for the West African Epidemic. PLoS Curr. 2017 Mar 31; 9. View abstract
80. Predicting social response to infectious disease outbreaks from internet-based news streams. Ann Oper Res. 2018; 263(1):551-564. View abstract
81. Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. Sci Rep. 2017 01 19; 7:40841. View abstract
82. Reconstruction of Zika Virus Introduction in Brazil. Emerg Infect Dis. 2017 01; 23(1):91-94. View abstract
83. 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
84. 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
85. 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
86. 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
87. 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
88. 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
89. 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
90. Global Capacity for Emerging Infectious Disease Detection, 1996-2014. Emerg Infect Dis. 2016 10; 22(10):E1-6. View abstract
91. 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
92. Yellow fever vaccination coverage heterogeneities in Luanda province, Angola. Lancet Infect Dis. 2016 09; 16(9):993-995. View abstract
93. 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
94. 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
95. 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
96. Disease Surveillance on Complex Social Networks. PLoS Comput Biol. 2016 07; 12(7):e1004928. View abstract
97. Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China. Environ Res. 2016 10; 150:299-305. View abstract
98. 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
99. Global distribution and environmental suitability for chikungunya virus, 1952 to 2015. Euro Surveill. 2016 May 19; 21(20). View abstract
100. Internet-based media coverage on dengue in Sri Lanka between 2007 and 2015. Glob Health Action. 2016; 9:31620. View abstract
101. Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Sci Rep. 2016 05 11; 6:25732. View abstract
102. Social Media Listening for Routine Post-Marketing Safety Surveillance. Drug Saf. 2016 May; 39(5):443-54. View abstract
103. Mapping global environmental suitability for Zika virus. Elife. 2016 04 19; 5. View abstract
104. Evaluating the effectiveness of localized control strategies to curtail chikungunya. Sci Rep. 2016 Apr 05; 6:23997. View abstract
105. Publicly Available Online Tool Facilitates Real-Time Monitoring Of Vaccine Conversations And Sentiments. Health Aff (Millwood). 2016 Feb; 35(2):341-7. View abstract
106. Anticipating the international spread of Zika virus from Brazil. Lancet. 2016 Jan 23; 387(10016):335-336. View abstract
107. SOCIAL MEDIA MINING FOR PUBLIC HEALTH MONITORING AND SURVEILLANCE. Pac Symp Biocomput. 2016; 21:468-79. View abstract
108. Internet-based media coverage on dengue in Sri Lanka between 2007 and 2015. Glob Health Action. 2016 Jan; 9(1):31620. View abstract
109. Diversion and Illicit Sale of Extended Release Tapentadol in the United States. Pain Med. 2016 08; 17(8):1490-6. View abstract
110. On-demand delivery of influenza vaccination. Ann Intern Med. 2015 Nov 17; 163(10):806-7. View abstract
111. Mortality Risk Factors for Middle East Respiratory Syndrome Outbreak, South Korea, 2015. Emerg Infect Dis. 2015 Nov; 21(11):2088-90. View abstract
112. Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput Biol. 2015 Oct; 11(10):e1004513. View abstract
113. Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. 2015; 4. View abstract
114. Measuring patient-perceived quality of care in US hospitals using Twitter. BMJ Qual Saf. 2016 06; 25(6):404-13. View abstract
115. Risk of Type 2 Diabetes Is Lower in US Adults Taking Chromium-Containing Supplements. J Nutr. 2015 Dec; 145(12):2675-82. View abstract
116. The velocity of Ebola spread in parts of west Africa. Lancet Infect Dis. 2015 Sep; 15(9):1005-1007. View abstract
117. Vaccination Compliance and the US Measles Epidemic--Reply. JAMA Pediatr. 2015 Sep; 169(9):877-8. View abstract
118. Erratum to: Methodological Approaches to Evaluate the Impact of FDA Drug Safety Communications. Drug Saf. 2015 Sep; 38(9):845. View abstract
119. Spatial and Temporal Clustering of Chikungunya Virus Transmission in Dominica. PLoS Negl Trop Dis. 2015; 9(8):e0003977. View abstract
120. Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons. Am J Public Health. 2015 Oct; 105(10):2124-30. View abstract
121. 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
122. Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection. Emerg Infect Dis. 2015 Aug; 21(8):1285-92. View abstract
123. 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
124. The global distribution of Crimean-Congo hemorrhagic fever. Trans R Soc Trop Med Hyg. 2015 Aug; 109(8):503-13. View abstract
125. 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
126. Forecasting malaria in a highly endemic country using environmental and clinical predictors. Malar J. 2015 Jun 18; 14:245. View abstract
127. 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
128. Characterizing Sleep Issues Using Twitter. J Med Internet Res. 2015 Jun 08; 17(6):e140. View abstract
129. Methodological approaches to evaluate the impact of FDA drug safety communications. Drug Saf. 2015 Jun; 38(6):565-75. View abstract
130. Surveillance of Acute Respiratory Infections Using Community-Submitted Symptoms and Specimens for Molecular Diagnostic Testing. PLoS Curr. 2015 May 27; 7. View abstract
131. Surveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology. PLoS One. 2015; 10(5):e0127406. View abstract
132. The Role of Social Mobilization in Controlling Ebola Virus in Lofa County, Liberia. PLoS Curr. 2015 May 15; 7. View abstract
133. The digital phenotype. Nat Biotechnol. 2015 May; 33(5):462-3. View abstract
134. Substandard vaccination compliance and the 2015 measles outbreak. JAMA Pediatr. 2015 May; 169(5):494-5. View abstract
135. 2014 ebola outbreak: media events track changes in observed reproductive number. PLoS Curr. 2015 Apr 28; 7. View abstract
136. Searching the Web for Influenza Vaccines: HealthMap Vaccine Finder. Am J Public Health. 2015 Aug; 105(8):e134-9. View abstract
137. A global compendium of human Crimean-Congo haemorrhagic fever virus occurrence. Sci Data. 2015; 2:150016. View abstract
138. Estimating influenza attack rates in the United States using a participatory cohort. Sci Rep. 2015 Apr 02; 5:9540. View abstract
139. Comparing timeliness, content, and disease severity of formal and informal source outbreak reporting. BMC Infect Dis. 2015 Mar 20; 15:135. View abstract
140. Monitoring disease trends using hospital traffic data from high resolution satellite imagery: a feasibility study. Sci Rep. 2015 Mar 13; 5:9112. View abstract
141. 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
142. Computational approaches to influenza surveillance: beyond timeliness. Cell Host Microbe. 2015 Mar 11; 17(3):275-278. View abstract
143. Ethical challenges of big data in public health. PLoS Comput Biol. 2015 Feb; 11(2):e1003904. View abstract
144. New digital technologies for the surveillance of infectious diseases at mass gathering events. Clin Microbiol Infect. 2015 Feb; 21(2):134-40. View abstract
145. Using internet search queries for infectious disease surveillance: screening diseases for suitability. BMC Infect Dis. 2014 Dec 31; 14:690. View abstract
146. Internet and free press are associated with reduced lags in global outbreak reporting. PLoS Curr. 2014 Oct 30; 6. View abstract
147. 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
148. 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
149. Digital surveillance for enhanced detection and response to outbreaks. Lancet Infect Dis. 2014 Nov; 14(11):1035-1037. View abstract
150. Evaluation of local media surveillance for improved disease recognition and monitoring in global hotspot regions. PLoS One. 2014; 9(10):e110236. View abstract
151. Global database of leishmaniasis occurrence locations, 1960-2012. Sci Data. 2014; 1:140036. View abstract
152. Mapping the zoonotic niche of Ebola virus disease in Africa. Elife. 2014 Sep 08; 3:e04395. View abstract
153. Using clinicians' search query data to monitor influenza epidemics. Clin Infect Dis. 2014 Nov 15; 59(10):1446-50. View abstract
154. Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports. Prev Med. 2014 Oct; 67:264-9. View abstract
155. One Health in social networks and social media. Rev Sci Tech. 2014 Aug; 33(2):629-37. View abstract
156. Erratum to: Digital Drug Safety Surveillance: Monitoring Pharmaceutical Products in Twitter. Drug Saf. 2014 Jul; 37(7):555. View abstract
157. Global distribution maps of the leishmaniases. Elife. 2014 Jun 27; 3. View abstract
158. Public health for the people: participatory infectious disease surveillance in the digital age. Emerg Themes Epidemiol. 2014; 11:7. View abstract
159. Assessing the origin of and potential for international spread of chikungunya virus from the Caribbean. PLoS Curr. 2014 Jun 06; 6. View abstract
160. 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
161. A global compendium of human dengue virus occurrence. Sci Data. 2014; 1:140004. View abstract
162. Digital drug safety surveillance: monitoring pharmaceutical products in twitter. Drug Saf. 2014 May; 37(5):343-50. View abstract
163. Toward a county-level map of tuberculosis rates in the U.S. Am J Prev Med. 2014 May; 46(5):e49-51. View abstract
164. Modeling to predict cases of hantavirus pulmonary syndrome in Chile. PLoS Negl Trop Dis. 2014 Apr; 8(4):e2779. View abstract
165. 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
166. 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
167. Evaluation of Internet-based dengue query data: Google Dengue Trends. PLoS Negl Trop Dis. 2014 Feb; 8(2):e2713. View abstract
168. 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
169. 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
170. A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza Other Respir Viruses. 2014 May; 8(3):309-16. View abstract
171. 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
172. 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
173. Using search queries for malaria surveillance, Thailand. Malar J. 2013 Nov 04; 12:390. View abstract
174. 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
175. Crowdsourcing black market prices for prescription opioids. J Med Internet Res. 2013 Aug 16; 15(8):e178. View abstract
176. Why we need crowdsourced data in infectious disease surveillance. Curr Infect Dis Rep. 2013 Aug; 15(4):316-9. View abstract
177. 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
178. Influenza A (H7N9) and the importance of digital epidemiology. N Engl J Med. 2013 Aug 01; 369(5):401-4. View abstract
179. Twitter as a sentinel in emergency situations: lessons from the Boston marathon explosions. PLoS Curr. 2013 Jul 02; 5. View abstract
180. Travel-associated illness trends and clusters, 2000-2010. Emerg Infect Dis. 2013 Jul; 19(7):1049-73. View abstract
181. Forecasting peaks of seasonal influenza epidemics. PLoS Curr. 2013 Jun 21; 5. View abstract
182. An overview of internet biosurveillance. Clin Microbiol Infect. 2013 Nov; 19(11):1006-13. View abstract
183. Adult prescription drug use and pediatric medication exposures and poisonings. Pediatrics. 2013 Jul; 132(1):18-27. View abstract
184. Monitoring influenza epidemics in china with search query from baidu. PLoS One. 2013; 8(5):e64323. View abstract
185. 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
186. Assessing the online social environment for surveillance of obesity prevalence. PLoS One. 2013; 8(4):e61373. View abstract
187. The global distribution and burden of dengue. Nature. 2013 Apr 25; 496(7446):504-7. View abstract
188. Big data opportunities for global infectious disease surveillance. PLoS Med. 2013; 10(4):e1001413. View abstract
189. 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
190. GeoSentinel surveillance of illness in returned travelers, 2007-2011. Ann Intern Med. 2013 Mar 19; 158(6):456-68. View abstract
191. 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
192. 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
193. Global mapping of infectious disease. Philos Trans R Soc Lond B Biol Sci. 2013 Mar 19; 368(1614):20120250. View abstract
194. Preventing pandemics via international development: a systems approach. PLoS Med. 2012; 9(12):e1001354. View abstract
195. Digital surveillance: a novel approach to monitoring the illegal wildlife trade. PLoS One. 2012; 7(12):e51156. View abstract
196. A scoping review of malaria forecasting: past work and future directions. BMJ Open. 2012; 2(6). View abstract
197. 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 abstract
198. Forecasting high-priority infectious disease surveillance regions: a socioeconomic model. Clin Infect Dis. 2013 Feb; 56(4):517-24. View abstract
199. Neighborhood determinants of 2009 pandemic A/H1N1 influenza vaccination in Montreal, Quebec, Canada. Am J Epidemiol. 2012 Nov 15; 176(10):897-908. View abstract
200. New technologies for reporting real-time emergent infections. Parasitology. 2012 Dec; 139(14):1843-51. View abstract
201. Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl Trop Dis. 2012; 6(8):e1760. View abstract
202. Usefulness of school absenteeism data for predicting influenza outbreaks, United States. Emerg Infect Dis. 2012 Aug; 18(8):1375-7. View abstract
203. Digital epidemiology. PLoS Comput Biol. 2012; 8(7):e1002616. View abstract
204. Novel surveillance of psychological distress during the great recession. J Affect Disord. 2012 Dec 15; 142(1-3):323-30. View abstract
205. Research design considerations for clinical studies of abuse-deterrent opioid analgesics: IMMPACT recommendations. Pain. 2012 Oct; 153(10):1997-2008. View abstract
206. 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 abstract
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