Digital disease detection - harnessing the Web for public health surveillance

Detecting influenza epidemics using search engine query data

Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009) · Nature · doi:10.1038/nature07634 · Cited by 4,295 · see citing works

Using Internet Searches for Influenza Surveillance

Polgreen, P. M., Chen, Y., Pennock, D. M., & Nelson, F. D. (2008) · Clinical Infectious Diseases · doi:10.1086/593098 · Cited by 567 · see citing works

Infodemiology: tracking flu-related searches on the web for syndromic surveillance.

Eysenbach, G. (2006) · PubMed · Cited by 414 · see citing works

Surveillance Sans Frontières: Internet-Based Emerging Infectious Disease Intelligence and the HealthMap Project

Brownstein, J. S., Freifeld, C. C., Reis, B. Y., & Mandl, K. D. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050151 · Cited by 404 · see citing works

ProMED-mail: An Early Warning System for Emerging Diseases

Yu, V. L., & Madoff, L. C. (2004) · Clinical Infectious Diseases · doi:10.1086/422003 · Cited by 269 · see citing works

Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study

Nguyen, L. H., Drew, D. A., Graham, M. S., Joshi, A. D., Guo, C., Ma, W., Mehta, R. S., Warner, E. T., Sikavi, D. R., Lo, C., et al. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30164-x · Cited by 2,390 · see citing works

Predicting the Present with Google Trends

CHOI, H., & VARIAN, H. (2012) · Economic Record · doi:10.1111/j.1475-4932.2012.00809.x · Cited by 2,354 · see citing works

The use of google trends in health care research: a systematic review

Nuti, S. V., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, R. P., Chen, S. I., & Murugiah, K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109583 · Cited by 1,086 · see citing works

Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice

Elwood, S. A., Goodchild, M. F., & Sui, D. Z. (2011) · Annals of the Association of American Geographers · doi:10.1080/00045608.2011.595657 · Cited by 865 · see citing works

NCBI Disease Corpus: A Resource for Disease Name Recognition and Concept Normalization

Dogan, R., Leaman, R., & Lu, Z.-Y. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2013.12.006 · Cited by 994 · see citing works

Drivers, dynamics, and control of emerging vector-borne zoonotic diseases

Kilpatrick, A. M., & Randolph, S. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61151-9 · Cited by 817 · see citing works

Towards a genomics-informed, real-time, global pathogen surveillance system

Gardy, J. L., & Loman, N. J. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2017.88 · Cited by 771 · see citing works

COVID-19: A Global Challenge with Old History, Epidemiology and Progress So Far

Khan, M., Adil, S. F., Alkhathlan, H. Z., Tahir, M. N., Saif, S., Khan, M., & Khan, S. T. (2020) · Molecules · doi:10.3390/molecules26010039 · Cited by 628 · see citing works

Pandemic Preparedness and Response — Lessons from the H1N1 Influenza of 2009

Fineberg, H. V. (2014) · New England Journal of Medicine · doi:10.1056/nejmra1208802 · Cited by 562 · see citing works

Google Trends in Infodemiology and Infoveillance: Methodology Framework

Mavragani, A., & Ochoa, G. (2019) · JMIR Public Health and Surveillance · doi:10.2196/13439 · Cited by 520 · see citing works

Digital Epidemiology

Salathé, M., Bengtsson, L., Bodnar, T. J., Brewer, D. D., Brownstein, J. S., Buckee, C., Campbell, E. M., Cattuto, C., Khandelwal, S., Mabry, P. L., et al. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002616 · Cited by 500 · see citing works

#Earthquake: Twitter as a Distributed Sensor System

Crooks, A. T., Croitoru, A., Stefanidis, A., & Radzikowski, J. (2012) · Transactions in GIS · doi:10.1111/j.1467-9671.2012.01359.x · Cited by 470 · see citing works

National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic

Broniatowski, D. A., Paul, M., & Dredze, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083672 · Cited by 474 · see citing works

Epidemiological data from the COVID-19 outbreak, real-time case information

Xu, B., Gutierrez, B., Mekaru, S., Sewalk, K., Goodwin, L., Loskill, A., Cohn, E. L., Hswen, Y., Hill, S. C., Cobo, M. M., et al. (2020) · Scientific Data · doi:10.1038/s41597-020-0448-0 · Cited by 396 · see citing works

The digital phenotype

Jain, S. H., Powers, B. W., Hawkins, J. B., & Brownstein, J. S. (2015) · Nature Biotechnology · doi:10.1038/nbt.3223 · Cited by 425 · see citing works

Rapid implementation of mobile technology for real-time epidemiology of COVID-19

Drew, D. A., Nguyen, L. H., Steves, C. J., Menni, C., Freydin, M., Varsavsky, T., Sudre, C. H., Cardoso, M. J., Ourselin, S., Wolf, J., et al. (2020) · Science · doi:10.1126/science.abc0473 · Cited by 389 · see citing works

Health promotion in the digital era: a critical commentary

Lupton, D. (2015) · Health Promotion International · doi:10.1093/heapro/dau091 · Cited by 346 · see citing works

Social Media– and Internet-Based Disease Surveillance for Public Health

Aiello, A. E., Renson, A., & Zivich, P. N. (2020) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040119-094402 · Cited by 363 · see citing works

Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings

Cervellin, G., Comelli, I., & Lippi, G. (2017) · Journal of Epidemiology and Global Health · doi:10.1016/j.jegh.2017.06.001 · Cited by 331 · see citing works

Measuring post traumatic stress disorder in Twitter

Coppersmith, G., Harman, C., & Dredze, M. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14574 · Cited by 316 · see citing works

Internet-based surveillance systems for monitoring emerging infectious diseases

Milinovich, G. J., Williams, G. M., Clements, A., & Hu, W. (2013) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70244-5 · Cited by 306 · see citing works

Tracking the Rise in Popularity of Electronic Nicotine Delivery Systems (Electronic Cigarettes) Using Search Query Surveillance

Ayers, J. W., Ribisl, K. M., & Brownstein, J. S. (2011) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2010.12.007 · Cited by 298 · see citing works

Social Media Engagement and Public Health Communication: Implications for Public Health Organizations Being Truly “Social”

Heldman, A. B., Schindelar, J., & Weaver, J. B. (2013) · Public health reviews · doi:10.1007/bf03391698 · Cited by 293 · see citing works

Big Data Opportunities for Global Infectious Disease Surveillance

Hay, S. I., George, D. B., Moyes, C. L., & Brownstein, J. S. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001413 · Cited by 293 · see citing works

Wearable devices in clinical trials: hype and hypothesis

Izmailova, E. S., Wagner, J. A., & Perakslis, E. D. (2018) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.966 · Cited by 265 · see citing works

Data, privacy, and the greater good

Horvitz, E., & Mulligan, D. (2015) · Science · doi:10.1126/science.aac4520 · Cited by 267 · see citing works

Ethical challenges of big data in public health

Vayena, E., Salathé, M., Madoff, L. C., & Brownstein, J. S. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1003904 · Cited by 268 · see citing works

Prediction of Dengue Incidence Using Search Query Surveillance

Althouse, B. M., Ng, Y. Y., & Cummings, D. A. T. (2011) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0001258 · Cited by 268 · see citing works

Capturing Curiosity: Using Internet Search Trends to Measure Public Attentiveness

RIPBERGER, J. T. (2011) · Policy Studies Journal · doi:10.1111/j.1541-0072.2011.00406.x · Cited by 260 · see citing works

Social media, big data, and mental health: current advances and ethical implications

Conway, M., & O’Connor, D. (2016) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2016.01.004 · Cited by 231 · see citing works

Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study

Dunn, A., Leask, J., Zhou, X.-J., Mandl, K., & Coiera, E. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4343 · Cited by 248 · see citing works

Global capacity for emerging infectious disease detection

Chan, E. H., Brewer, T. F., Madoff, L. C., Pollack, M. P., Sonricker, A. L., Mikaela Keller, A., Freifeld, C. C., Blench, M., Mawudeku, A., & Brownstein, J. S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006219107 · Cited by 246 · see citing works

Seasonality of viral infections: mechanisms and unknowns

Fisman, D. N. (2012) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2012.03968.x · Cited by 241 · see citing works

Monitoring Influenza Epidemics in China with Search Query from Baidu

Yuan, Q., Nsoesie, E. O., Lv, B., Peng, G., Chunara, R., & Brownstein, J. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064323 · Cited by 233 · see citing works

Mass Media and the Contagion of Fear: The Case of Ebola in America

Towers, S., Afzal, S., Bernal, G., Bliss, N. T., Brown, S., Espinoza, B., Jackson, J., Judson-Garcia, J., Khan, M., Lin, M. R., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129179 · Cited by 224 · see citing works

New technologies in predicting, preventing and controlling emerging infectious diseases

Christaki, E. (2015) · Virulence · doi:10.1080/21505594.2015.1040975 · Cited by 226 · see citing works

Social Media Role and Its Impact on Public Health: A Narrative Review

Kanchan, S., & Gaidhane, A. (2023) · Cureus · doi:10.7759/cureus.33737 · Cited by 221 · see citing works

Identifying emerging trends in recreational drug use; outcomes from the Psychonaut Web Mapping Project

Deluca, P., Davey, Z., Corazza, O., Furia, L. D., Farré, M., Flesland, L., Mannonen, M., Majava, A., Peltoniemi, T., Pasinetti, M., et al. (2012) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2012.07.011 · Cited by 224 · see citing works

Essential Epidemiology: An Introduction for Students and Health Professionals

Webb, P. M., & Bain, C. (2012) · Cited by 209 · see citing works

Changing epidemiology of Listeria monocytogenes outbreaks, sporadic cases, and recalls globally: A review of ProMED reports from 1996 to 2018

Desai, A. N., Anyoha, A., Madoff, L. C., & Lassmann, B. (2019) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2019.04.021 · Cited by 199 · see citing works

What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?

Santillana, M., Wendong, D., Althouse, B. M., & Ayers, J. W. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.05.020 · Cited by 183 · see citing works

Towards a Comprehensive Data Analytics Framework for Smart Healthcare Services

Sakr, S., & Elgammal, A. (2016) · Big Data Research · doi:10.1016/j.bdr.2016.05.002 · Cited by 176 · see citing works

Advances in Artificial Intelligence for Infectious-Disease Surveillance

Brownstein, J. S., Rader, B. M., Astley, C. M., & Tian, H. (2023) · New England Journal of Medicine · doi:10.1056/nejmra2119215 · Cited by 173 · see citing works

Using online social networks to track a pandemic: a systematic review

Al-garadi, M. A., Khan, M. S., Varathan, K. D., Mujtaba, G., & Al-Kabsi, A. M. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.05.005 · Cited by 166 · see citing works

Influenza A (H7N9) and the Importance of Digital Epidemiology

Salathé, M., Freifeld, C. C., Mekaru, S. R., Tomasulo, A., & Brownstein, J. S. (2013) · New England Journal of Medicine · doi:10.1056/nejmp1307752 · Cited by 170 · see citing works

Measuring patient-perceived quality of care in US hospitals using Twitter

Hawkins, J. B., Brownstein, J. S., Tuli, G., Runels, T., Broecker, K., Nsoesie, E. O., McIver, D. J., Rozenblum, R., Wright, A. T., Bourgeois, F. T., et al. (2015) · BMJ Quality & Safety · doi:10.1136/bmjqs-2015-004309 · Cited by 168 · see citing works

Using Twitter for Public Health Surveillance from Monitoring and Prediction to Public Response

Jordan, S., Hovet, S., Fung, I. C., Liang, H., Fu, K., & Tse, Z. T. H. (2018) · Data · doi:10.3390/data4010006 · Cited by 168 · see citing works

Web 2.0 and Internet Social Networking: A New tool for Disaster Management? - Lessons from Taiwan

Huang, C.-M., Chan, E., & Hyder, A. A. (2010) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-10-57 · Cited by 165 · see citing works

Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation

Bernardo, T. M., Rajić, A., Young, I., Robiadek, K., Pham, M., & Funk, J. A. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2740 · Cited by 163 · see citing works

Health Research with Big Data: Time for Systemic Oversight

Vayena, E., & Blasimme, A. (2018) · The Journal of Law Medicine & Ethics · doi:10.1177/1073110518766026 · Cited by 180 · see citing works

Transmission of climate risks across sectors and borders

Challinor, A. J., Adger, W. N., Benton, T. G., Conway, D., Joshi, M., & Frame, D. J. (2018) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2017.0301 · Cited by 161 · see citing works

Real-time Epidemic Forecasting: Challenges and Opportunities

Desai, A. N., Kraemer, M. U. G., Bhatia, S., Cori, A., Nouvellet, P., Herringer, M., Cohn, E. L., Carrion, M. N., Brownstein, J. S., Madoff, L. C., et al. (2019) · Health Security · doi:10.1089/hs.2019.0022 · Cited by 158 · see citing works

Google search patterns suggest declining interest in the environment

McCallum, M. L., & Bury, G. W. (2013) · Biodiversity and Conservation · doi:10.1007/s10531-013-0476-6 · Cited by 158 · see citing works

COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies

Milani, F. (2020) · Journal of Population Economics · doi:10.1007/s00148-020-00792-4 · Cited by 157 · see citing works

Internet monitoring of suicide risk in the population

McCarthy, M. J. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.08.015 · Cited by 156 · see citing works

Participatory Disease Surveillance: Engaging Communities Directly in Reporting, Monitoring, and Responding to Health Threats

Smolinski, M. S., Crawley, A. W., Olsen, J. M., Jayaraman, T., & Libel, M. (2017) · JMIR Public Health and Surveillance · doi:10.2196/publichealth.7540 · Cited by 149 · see citing works

Social media in public health

Kass‐Hout, T., & Alhinnawi, H. (2013) · British Medical Bulletin · doi:10.1093/bmb/ldt028 · Cited by 148 · see citing works

Using social media to monitor mental health discussions − evidence from Twitter

McClellan, C. B., Ali, M. M., Mutter, R. L., Kroutil, L. A., & Landwehr, J. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw133 · Cited by 141 · see citing works

Web-based infectious disease surveillance systems and public health perspectives: a systematic review

Choi, J., Cho, Y., Shim, E., & Woo, H. (2016) · BMC Public Health · doi:10.1186/s12889-016-3893-0 · Cited by 140 · see citing works

Public Health Surveillance and Infectious Disease Detection

Morse, S. S. (2012) · Biosecurity and Bioterrorism Biodefense Strategy Practice and Science · doi:10.1089/bsp.2011.0088 · Cited by 139 · see citing works

Precision epidemiology for infectious disease control

Ladner, J. T., Grubaugh, N. D., Pybus, O. G., & Andersen, K. G. (2019) · Nature Medicine · doi:10.1038/s41591-019-0345-2 · Cited by 128 · see citing works

Combining Public Health Education and Disease Ecology Research: Using Citizen Science to Assess Chagas Disease Entomological Risk in Texas

Curtis‐Robles, R., Wozniak, E. J., Auckland, L. D., Hamer, G. L., & Hamer, S. A. (2015) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0004235 · Cited by 129 · see citing works

Social Media's Initial Reaction to Information and Misinformation on Ebola, August 2014: Facts and Rumors

Fung, I. C., Fu, K., Chan, C., Chan, B. S. B., Cheung, C.-N., Abraham, T., & Tse, Z. T. H. (2016) · Public Health Reports · doi:10.1177/003335491613100312 · Cited by 129 · see citing works

Machine-learned epidemiology: real-time detection of foodborne illness at scale

Sadilek, A., Caty, S. N., DiPrete, L., Mansour, R., Schenk, T. L., Bergtholdt, M., Jha, A., Ramaswami, P., & Gabrilovich, E. (2018) · npj Digital Medicine · doi:10.1038/s41746-018-0045-1 · Cited by 136 · see citing works

Do Seasons Have an Influence on the Incidence of Depression? The Use of an Internet Search Engine Query Data as a Proxy of Human Affect

Yang, A. C., Huang, N. E., Peng, C., & Tsai, S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013728 · Cited by 128 · see citing works

"Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information

Burton, S. H., Tanner, K., Giraud-Carrier, C. G., West, J. H., & Barnes, M. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2121 · Cited by 125 · see citing works

Review: The Important Bacterial Zoonoses in “One Health” Concept

Cantas, L., & Süer, K. (2014) · Frontiers in Public Health · doi:10.3389/fpubh.2014.00144 · Cited by 123 · see citing works

Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak

Majumder, M. S., Santillana, M., Mekaru, S. R., McGinnis, D. P., Khan, K., & Brownstein, J. S. (2016) · JMIR Public Health and Surveillance · doi:10.2196/publichealth.5814 · Cited by 121 · see citing works

Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource

Krawczyk, K., Chełkowski, T., Mishra, S., Xifara, D., Gibert, B., Laydon, D. J., Flaxman, S. R., Mellan, T. A., Schwämmle, V., Röttger, R., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/28253 · Cited by 120 · see citing works

Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts

Pierce, C. E., Bouri, K., Pamer, C. A., Proestel, S., Rodriguez, H., Le, H. V., Freifeld, C. C., Brownstein, J. S., WALDERHAUG, M. O., Edwards, I. R., et al. (2017) · Drug Safety · doi:10.1007/s40264-016-0491-0 · Cited by 119 · see citing works

Creating a Future for Occupational Health

Peckham, T., Baker, M. G., Camp, J., Kaufman, J., & Seixas, N. (2017) · Annals of Work Exposures and Health · doi:10.1093/annweh/wxw011 · Cited by 109 · see citing works

Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks

Fung, I. C., Fu, K., Ying, Y., Schaible, B., Hao, Y., Chan, C., & Tse, Z. T. H. (2013) · Infectious Diseases of Poverty · doi:10.1186/2049-9957-2-31 · Cited by 116 · see citing works

Computational epidemiology

MARATHE, M. V., & Vullikanti, A. K. S. (2013) · Communications of the ACM · doi:10.1145/2483852.2483871 · Cited by 116 · see citing works

Ethical issues in using Twitter for population-level depression monitoring: a qualitative study

Mikal, J. P., Hurst, S., & Conway, M. (2016) · BMC Medical Ethics · doi:10.1186/s12910-016-0105-5 · Cited by 120 · see citing works

Digital epidemiology reveals global childhood disease seasonality and the effects of immunization

Bakker, K. M., Martinez, M. E., Helm, B., & Stevenson, T. J. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523941113 · Cited by 115 · see citing works

Challenges in the development of digital public health interventions and mapped solutions: Findings from a scoping review

Iyamu, I., Gómez-Ramírez, O., Xu, A. X., Chang, H.-J., Watt, S., Mckee, G., & Gilbert, M. (2022) · DIGITAL HEALTH · doi:10.1177/20552076221102255 · Cited by 118 · see citing works

Autopsy of a metaphor: The origins, use and blind spots of the ‘infodemic’

Simon, F. M., & Camargo, C. Q. (2021) · New Media & Society · doi:10.1177/14614448211031908 · Cited by 115 · see citing works

Ebola virus disease and social media: A systematic review

Fung, I. C., Duke, C. H., Finch, K. C., Snook, K., Tseng, P.-L., Hernandez, A. C., Gambhir, M., Fu, K., & Tse, Z. T. H. (2016) · American Journal of Infection Control · doi:10.1016/j.ajic.2016.05.011 · Cited by 113 · see citing works

“AI’s gonna have an impact on everything in society, so it has to have an impact on public health”: a fundamental qualitative descriptive study of the implications of artificial intelligence for public health

Morgenstern, J., Rosella, L. C., Daley, M., Goel, V., Schünemann, H. J., & Piggott, T. (2021) · BMC Public Health · doi:10.1186/s12889-020-10030-x · Cited by 112 · see citing works

The effect of breast cancer awareness month on internet search activity - a comparison with awareness campaigns for lung and prostate cancer

Glynn, R. W., Kelly, J. C., Bargary, N., Sweeney, K., & Kerin, M. J. (2011) · BMC Cancer · doi:10.1186/1471-2407-11-442 · Cited by 112 · see citing works

Environmental justice in the age of big data: challenging toxic blind spots of voice, speed, and expertise

Mah, A. (2016) · Environmental Sociology · doi:10.1080/23251042.2016.1220849 · Cited by 109 · see citing works

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

He, Y., Zhu, Z., Zhang, Y., Chen, Q., & Caverlee, J. (2020) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.372 · Cited by 111 · see citing works

Genomics for Emerging Pathogen Identification and Monitoring: Prospects and Obstacles

Vashisht, V., Vashisht, A., Mondal, A. K., Farmaha, J. K., Alptekin, A., Singh, H., Ahluwalia, P. K., Srinivas, A., & Kolhe, R. B. (2023) · BioMedInformatics · doi:10.3390/biomedinformatics3040069 · Cited by 110 · see citing works

Information Technology and Global Surveillance of Cases of 2009 H1N1 Influenza

Brownstein, J. S., Freifeld, C. C., Chan, E. H., Mikaela Keller, A., Sonricker, A. L., Mekaru, S. R., & Buckeridge, D. L. (2010) · New England Journal of Medicine · doi:10.1056/nejmsr1002707 · Cited by 106 · see citing works

The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health

Liu, R., Gupta, S., & Patel, P. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10191-z · Cited by 124 · see citing works

Low validity of Google Trends for behavioral forecasting of national suicide rates

Tran, U. S., Andel, R., Niederkrotenthaler, T., Till, B., Ajdacic‐Gross, V., & Voracek, M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183149 · Cited by 105 · see citing works

Measuring the impact of health policies using Internet search patterns: the case of abortion

Reis, B. Y., & Brownstein, J. S. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-514 · Cited by 103 · see citing works

A New Source of Data for Public Health Surveillance: Facebook Likes

Gittelman, S. H., Lange, V., Crawford, C. A. G., Okoro, C. A., Lieb, E., Dhingra, S. S., & Trimarchi, E. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3970 · Cited by 101 · see citing works

Progress and Challenges in Infectious Disease Cartography

Kraemer, M. U. G., Hay, S. I., Pigott, D. M., Smith, D. L., Wint, W., & Golding, N. (2015) · Trends in Parasitology · doi:10.1016/j.pt.2015.09.006 · Cited by 98 · see citing works

The Reliability of Tweets as a Supplementary Method of Seasonal Influenza Surveillance

Aslam, A., Tsou, M., Spitzberg, B. H., An, L., Gawron, J. M., Gupta, D. K., Peddecord, K. M., Nagel, A. C., Allen, C., Yang, J., et al. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3532 · Cited by 99 · see citing works

Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention

Naslund, J. A., Gonsalves, P. P., Gruebner, O., Pendse, S. R., Smith, S. L., Sharma, A., & Raviola, G. J. (2019) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-019-00186-8 · Cited by 108 · see citing works

Biomedical informatics and translational medicine

Sarkar, I. N. (2010) · Journal of Translational Medicine · doi:10.1186/1479-5876-8-22 · Cited by 98 · see citing works

Meta-genomic analysis of toilet waste from long distance flights; a step towards global surveillance of infectious diseases and antimicrobial resistance

Petersen, T. N., Rasmussen, S., Hasman, H., Carøe, C., Bælum, J., Schultz, A. C., Bergmark, L., Svendsen, C. A., Lund, O., Sicheritz‐Pontén, T., et al. (2015) · Scientific Reports · doi:10.1038/srep11444 · Cited by 95 · see citing works

Mapping collective behavior in the big-data era

Bentley, R. A., O’Brien, M. J., & Brock, W. A. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13000289 · Cited by 93 · see citing works

Confronting the threat of bioterrorism: realities, challenges, and defensive strategies

Green, M. S., LeDuc, J. W., Cohen, D., & Franz, D. R. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(18)30298-6 · Cited by 94 · see citing works

Leveraging natural history biorepositories as a global, decentralized, pathogen surveillance network

Colella, J. P., Bates, J. M., Burneo, S. F., Camacho, M. A., Bonilla, C. A. C., Constable, I. D., D’Elía, G., Dunnum, J. L., Greiman, S. E., Hoberg, E. P., et al. (2021) · PLoS Pathogens · doi:10.1371/journal.ppat.1009583 · Cited by 91 · see citing works

Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data

Conway, M., Hu, M., & Chapman, W. W. (2019) · Yearbook of Medical Informatics · doi:10.1055/s-0039-1677918 · Cited by 91 · see citing works

Using electronic health records and Internet search information for accurate influenza forecasting

Yang, S., Santillana, M., Brownstein, J. S., Gray, J., Richardson, S., & Kou, S. C. (2017) · BMC Infectious Diseases · doi:10.1186/s12879-017-2424-7 · Cited by 91 · see citing works

ProMED-mail: 22 years of digital surveillance of emerging infectious diseases

Carrion, M. N., & Madoff, L. C. (2017) · International Health · doi:10.1093/inthealth/ihx014 · Cited by 91 · see citing works

The Complex Relationship of Realspace Events and Messages in Cyberspace: Case Study of Influenza and Pertussis Using Tweets

Nagel, A. C., Tsou, M., Spitzberg, B. H., An, L., Gawron, J. M., Gupta, D. K., Yang, J., Han, S. Y., Peddecord, K. M., Lindsay, S. P., et al. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2705 · Cited by 90 · see citing works

Influenza A (H1N1) Virus, 2009 — Online Monitoring

Brownstein, J. S., Freifeld, C. C., & Madoff, L. C. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0904012 · Cited by 74 · see citing works

Applying informal health reports and search queries for public health monitoring: An evaluation of characteristics, potentials, and requirements of online self-reporting, discussions, and search behaviour

Marques Barros, J. C. (2021) · Arrow@dit (Dublin Institute of Technology) · doi:10.13025/16368

Impact of Online Disease Prediction

Kanekar, M. K., & Sawant, D. M. (2022) · International Journal of Science and Research (IJSR) · doi:10.21275/mr22619225429

Internet crawler uses unconventional information sources to track infectious disease outbreaks

Mayor, S. (2008) · BMJ · doi:10.1136/bmj.a742 · Cited by 4 · see citing works

Innovative disease surveillance

Brownstein, J. S. (2018) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2018.04.3575