Klein, Eili Y.

Global increase and geographic convergence in antibiotic consumption between 2000 and 2015

Klein, E. Y., Van Boeckel, T. P., Martinez, E. M., Pant, S., Gandra, S., Levin, S. A., Goossens, H., & Laxminarayan, R. (2018) · Proceedings of the National Academy of Sciences

Antibiotic Use and ResistanceAntibiotic Resistance in Bacteria

Cited by 3,232

The frequency of influenza and bacterial coinfection: a systematic review and meta-analysis.

Klein, E. Y., Monteforte, B., Gupta, A., Jiang, W., May, L., Hsieh, Y., & Dugas, A. (2016) · Influenza and Other Respiratory Viruses

Influenza Virus Research StudiesPneumonia and Respiratory Infections

Cited by 574

Assessment of WHO antibiotic consumption and access targets in 76 countries, 2000–15: an analysis of pharmaceutical sales data

Klein, E. Y., Milkowska-Shibata, M., Tseng, K. K., Sharland, M., Gandra, S., Pulcini, C., & Laxminarayan, R. (2021) · The Lancet Infectious Diseases

Antibiotic Use and ResistanceAntibiotic Resistance in Bacteria

Cited by 500

Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis

Adams, R., Henry, K. E., Sridharan, A., Soleimani, H., Zhan, A., Rawat, N., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., et al. (2022) · Nature Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 365

The Changing Epidemiology of Methicillin-Resistant Staphylococcus aureus in the United States: A National Observational Study

Klein, E. Y., Sun, L., Smith, D. L., & Laxminarayan, R. (2013) · American Journal of Epidemiology

Antimicrobial Resistance in StaphylococcusAntibiotic Use and Resistance

Cited by 155

Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing

Henry, K. E., Adams, R., Parent, C., Soleimani, H., Sridharan, A., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., Klein, E. Y., et al. (2022) · Nature Medicine

Sepsis Diagnosis and TreatmentElectronic Health Records Systems

Cited by 144

Community-associated Methicillin-Resistant Staphylococcus aureus in Outpatients, United States, 1999–2006

Klein, E. Y., Smith, D. L., & Laxminarayan, R. (2009) · Emerging Infectious Diseases

Antimicrobial Resistance in StaphylococcusAntibiotic Use and Resistance

Cited by 102

Sex and Gender Differences in Testing, Hospital Admission, Clinical Presentation, and Drivers of Severe Outcomes From COVID-19

Scully, E. P., Schumock, G., Fu, M., Massaccesi, G., Muschelli, J., Betz, J., Klein, E. Y., West, N. E., Robinson, M., Garibaldi, B. T., et al. (2021) · Open Forum Infectious Diseases

COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

Cited by 73

Global trends in inappropriate use of antibiotics, 2000–2021: scoping review and prevalence estimates

Mulchandani, R., Tiseo, K., Nandi, A., Klein, E., Gandra, S., Laxminarayan, R., & Van Boeckel, T. (2025) · BMJ Public Health

Antibiotic Use and ResistancePharmaceutical Practices and Patient Outcomes

Cited by 68

Machine learning and artificial intelligence: applications in healthcare epidemiology

Hamilton, A. J., Strauss, A. T., Martinez, D. A., Hinson, J. S., Levin, S., Lin, G., & Klein, E. Y. (2021) · Antimicrobial Stewardship & Healthcare Epidemiology

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 58

Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions

Hinson, J. S., Klein, E., Smith, A., Toerper, M., Dungarani, T., Hager, D., Hill, P., Kelen, G., Niforatos, J. D., Stephens, R. S., et al. (2022) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 30

Recasting the theory of mosquito-borne pathogen transmission dynamics and control

Smith, D. L., Perkins, T. A., Reiner, R. C., Barker, C. M., Niu, T., Chaves, L. F., Ellis, A. M., George, D. B., Le Menach, A., Pulliam, J. R. C., et al. (2014) · Transactions of the Royal Society of Tropical Medicine and Hygiene

Mosquito-borne diseases and controlMathematical and Theoretical Epidemiology and Ecology Models

Cited by 9