Elaine O. Nsoesie

According to our database, Elaine O. Nsoesie authored at least 22 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Beyond Content Exposure: Systemic Factors Driving Moderators' Mental Health Crisis in Africa.

Nuredin Ali Abdelkadir, Tianling Yang, Shivani Kapania, Kauna Ibrahim Malgwi, Fasica Berhane Gebrekidan, Adio-Adet Dinika, Elaine O. Nsoesie, Milagros Miceli, Stevie Chancellor

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Global Health in the Age of AI: Charting a Course for Ethical Implementation and Societal Benefit.

Jessica Morley, Emmie Hine, Huw Roberts, Renee Sirbu, Hutan Ashrafian, Charlotte Blease, Marisha Boyd, John L. Chen, Alexandre Chiavegatto Filho, Enrico W. Coiera, Glenn I. Cohen, Amelia Fiske, Nandini Jayakumar, Angeliki Kerasidou, Federica Mandreoli, Melissa D. McCradden, Stella Namuganza, Elaine O. Nsoesie, Ravi B. Parikh, Sandeep Reddy, Jana Sedlakova, Tamara Sunbul, Sophie van Baalen, Hannah van Kolfschooten, Luciano Floridi

Minds Mach., September, 2025

2024

Using labels to limit AI misuse in health.

Elaine O. Nsoesie, Marzyeh Ghassemi

Nat. Comput. Sci., September, 2024

Length of stay prediction for hospital management using domain adaptation.

Lyse Naomi Wamba Momo, Nyalleng Moorosi, Elaine O. Nsoesie, Frank E. Rademakers, Bart De Moor

Eng. Appl. Artif. Intell., 2024

2022

Diet during the COVID-19 pandemic: An analysis of Twitter data.

Mark A. Hernandez, Shagun Modi, Kanisha Mittal, Pallavi Dwivedi, Quynh C. Nguyen, Nina L. Cesare, Elaine O. Nsoesie

Patterns, 2022

In medicine, how do we machine learn anything real?

Marzyeh Ghassemi, Elaine O. Nsoesie

Patterns, 2022

2021

Privacy-first health research with federated learning.

Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez

npj Digit. Medicine, 2021

2020

Use of Technology and Innovations in the COVID-19 Pandemic Response in Africa.

Adyasha Maharana, Morine Amutorine, Moinina David Sengeh, Elaine O. Nsoesie

CoRR, 2020

2019

Understanding Demographic Bias and Representation in Social Media Health Data.

Nina L. Cesare, Christan Grant, Elaine O. Nsoesie

Proceedings of the Companion Publication of the 10th ACM Conference on Web Science, 2019

Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types.

Mona Jalal, Kaihong Wang, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke

Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 2019

2018

Multi-stage Collaborative filtering for Tweet Geolocation.

Keerti Banweer, Austin Graham, Joe Ripberger, Nina L. Cesare, Elaine O. Nsoesie, Christan Grant

Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks, 2018

2017

Forecasting rare disease outbreaks from open source indicators.

Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan

Stat. Anal. Data Min., 2017

Using Deep Learning to Examine the Association between the Built Environment and Neighborhood Adult Obesity Prevalence.

Adyasha Maharana, Elaine O. Nsoesie

CoRR, 2017

Demographics in Social Media Data for Public Health Research: Does it matter?

Nina L. Cesare, Christan Grant, Jared B. Hawkins, John S. Brownstein, Elaine O. Nsoesie

CoRR, 2017

Using Deep Learning and Satellite Imagery to Quantify the Impact of the Built Environment on Neighborhood Crime Rates.

Adyasha Maharana, Quynh C. Nguyen, Elaine O. Nsoesie

CoRR, 2017

Detection of User Demographics on Social Media: A Review of Methods and Recommendations for Best Practices.

Nina L. Cesare, Christan Grant, Elaine O. Nsoesie

CoRR, 2017

2016

Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks.

Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan

CoRR, 2016

2015

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein

PLoS Comput. Biol., 2015

Enhancing disease surveillance with novel data streams: challenges and opportunities.

Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren A. Castro, Hannah E. Clapham, Derek A. T. Cummings, Sara Y. Del Valle, Stephen G. Eubank, Geoffrey Fairchild, Lyn Finelli, Nicholas Generous, Dylan B. George, David R. Harper, Laurent Hébert-Dufresne, Michael A. Johansson, Kevin J. Konty, Marc Lipsitch, Gabriel Milinovich, Joseph D. Miller, Elaine O. Nsoesie, Donald R. Olson, Michael J. Paul, Philip M. Polgreen, Reid Priedhorsky, Jonathan M. Read, Isabel Rodríguez-Barraquer, Derek J. Smith, Christian Stefansen, David L. Swerdlow, Deborah Thompson, Alessandro Vespignani, Amy Wesolowski

EPJ Data Sci., 2015

SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.

Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014

Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak?

Patrick Butler, Naren Ramakrishnan, Elaine O. Nsoesie, John S. Brownstein

Computer, 2014

Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions.

Prithwish Chakraborty, Pejman Khadivi, Bryan L. Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014