Brownstein, John S.

The global distribution and burden of dengue

Bhatt, S., Gething, P. W., Brady, O. J., Messina, J. P., Farlow, A. W., Moyes, C. L., Drake, J. M., Brownstein, J. S., Hoen, A. G., Sankoh, O., et al. (2013) · Nature

Mosquito-borne diseases and controlDengue and Mosquito Control Research

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Emerging fungal threats to animal, plant and ecosystem health

Fisher, M. C., Henk, D. A., Briggs, C. J., Brownstein, J. S., Madoff, L. C., McCraw, S. L., & Gurr, S. J. (2012) · Nature

Plant Pathogens and Fungal DiseasesZoonotic diseases and public health

Cited by 3,310

Digital disease detection - harnessing the Web for public health surveillance

Brownstein, J. S., Freifeld, C. C., & Madoff, L. C. (2009) · New England Journal of Medicine

Data-Driven Disease SurveillanceSocial Media in Health Education

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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

Data-Driven Disease SurveillanceHuman Mobility and Location-Based Analysis

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The digital phenotype

Jain, S. H., Powers, B. W., Hawkins, J. B., & Brownstein, J. S. (2015) · Nature Biotechnology

Innovative Human-Technology InteractionDigital Media and Philosophy

Cited by 425

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

COVID-19 epidemiological studiesData-Driven Disease Surveillance

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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

Data-Driven Disease SurveillanceCOVID-19 Digital Contact Tracing

Cited by 389

Ethical challenges of big data in public health

Vayena, E., Salathé, M., Madoff, L. C., & Brownstein, J. S. (2015) · PLOS Computational Biology

Ethics and Social Impacts of AIBig Data Technologies and Applications

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Global mapping of infectious disease

Hay, S. I., Battle, K. E., Pigott, D. M., Smith, D. L., Moyes, C. L., Bhatt, S., Brownstein, J. S., Collier, N., Myers, M. F., George, D. B., et al. (2013) · Philosophical Transactions of the Royal Society B: Biological Sciences

Data-Driven Disease SurveillanceZoonotic diseases and public health

Cited by 243

Privacy-first health research with federated learning

Sadilek, A., Liu, L., Nguyen, D., Kamruzzaman, M., Serghiou, S., Rader, B., Ingerman, A., Mellem, S., Kairouz, P., Nsoesie, E. O., et al. (2021) · npj Digital Medicine

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

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Use of At-Home COVID-19 Tests — United States, August 23, 2021–March 12, 2022

Rader, B., Gertz, A., Iuliano, A. D., Gilmer, M., Wronski, L., Astley, C. M., Sewalk, K., Varrelman, T. J., Cohen, J., Parikh, R., et al. (2022) · MMWR. Morbidity and Mortality Weekly Report

SARS-CoV-2 detection and testingCOVID-19 epidemiological studies

Cited by 223

Policy implications of big data in the health sector

Vayena, E., Dzenowagis, J., Brownstein, J. S., & Sheikh, A. (2018) · Bulletin of the World Health Organization

Big Data Technologies and ApplicationsHealthcare Systems and Practices

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Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico

Johansson, M. A., Reich, N. G., Hota, A., Brownstein, J. S., & Santillana, M. (2016) · Scientific Reports

Mosquito-borne diseases and controlClimate Change and Health Impacts

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Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare

Shaban-Nejad, A., Michalowski, M., Brownstein, J., & Buckeridge, D. (2021) · IEEE Journal of Biomedical and Health Informatics

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

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Digital surveillance for enhanced detection and response to outbreaks

Anema, A., Kluberg, S., Wilson, K., Hogg, R. S., Khan, K., Hay, S. I., Tatem, A. J., & Brownstein, J. S. (2014) · The Lancet Infectious Diseases

Data-Driven Disease SurveillancePharmacovigilance and Adverse Drug Reactions

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Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media

Hswen, Y., Naslund, J. A., Brownstein, J. S., & Hawkins, J. B. (2018) · Psychiatric Quarterly

Mental Health via WritingSchizophrenia research and treatment

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Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study

Hswen, Y., Naslund, J. A., Brownstein, J. S., & Hawkins, J. B. (2018) · JMIR Mental Health

Mental Health via WritingSuicide and Self-Harm Studies

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Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia

Hswen, Y., Naslund, J. A., Chandrashekar, P., Siegel, R., Brownstein, J. S., & Hawkins, J. B. (2017) · Psychiatry Research

Smoking Behavior and CessationSocial Media in Health Education

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