Our research has been graciously funded via grants from the NSF (grants 1643576, 1551036, 1737987, 1845487), NIH (R21AA023901, R21MH110190), Health Data Explorers Project, International Growth Corporation, the Truth Initiative, the USDA-NIFA Food Virology Collaborative (NoroCORE), Facebook, Google and the Bill & Melinda Gates Foundation.
Recent papers from our group:
Data science in public health: building next generation capacity
N. Mirin, H. Mattie, L. Jackson, Z. Samad, R. Chunara
2022 Harvard Data Science Review
[pre-print]
Building Public Health Surveillance 3.0: Emerging Timely Measures of Physical, Economic, and Social Environmental Conditions Affecting Health
L. Thorpe, R. Chunara, T. Roberts, N. Pantaleo, C. Irvine, S. Conderino, Y. Li, Y. Hsieh, M.N. Gourevitch, S. Levine, R. Ofrane, B. Spoer
2022 American Journal of Public Health
[link]
M. Zhao, H. Singh, L. Chok, R. Chunara
Segmenting across places: The need for fair transfer learning with satellite imagery
2022 IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision. [pdf]
H. Singh, V. Mhasawade, R. Chunara
Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database [link]
2022. PLOS Digital Health 1.4 (2022): e0000023.
Highlighted in ACM News
V. Mhasawade, Y. Zhao, R. Chunara.
Machine learning and algorithmic fairness in public and population health. [link]
2021. Nature Machine Intelligence 3, no. 8 pp. 659-666.
Y. Zhao, E.P. Wood, N. Mirin, S.H. Cook, and R. Chunara
Social Determinants in Machine Learning Cardiovascular Disease Prediction Models: A Systematic Review. [link]
2021. American journal of preventive medicine.
V. Mhasawade, R. Chunara
Causal Multi-level Fairness. [pre-print]
2021. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES).
H. Singh, R. Singh, V. Mhasawade, R. Chunara
Fairness Violations and Mitigation under Covariate Shift. [link] [pre-print] [code]
2021. Proceedings of the 2021 Conference on Fairness, Accountability, and Transparency (ACM FAccT).
R. Chunara, Y. Zhao, J. Chen, K. Lawrence, P.A. Testa, O. Nov and D.M. Mann
Telemedicine and Healthcare Disparities: A cohort study in a large healthcare system in New York City during COVID-19.
2020. Journal of the American Medical Informatics Association. [link]
Highlighted in the Wall Street Journal
R. Chunara, S. Cook
Using digital data to protect and promote the most vulnerable in the fight against COVID-19
2020. Frontiers in Public Health. [link]
D. Mann, J. Chen, R. Chunara, P.A. Testa, O. Nov
COVID-19 transforms health care through telemedicine: evidence from the field
2020. Journal of the American Medical Informatics Association. [link]
V. Mhasawade, R. Chunara
Multi-Environment Functional Causal Models using Gaussian Processes
2020. ICLR Workshop on Causal Inference for Decision Making. [link]
N.A. Rehman, H. Salje, M.U.G. Kraemer, L. Subramanian, U. Saif, R. Chunara
Quantifying the localized relationship between vector containment activities and dengue incidence in a real-world setting: a spatial and time series modelling analysis based on geo-located data from Pakistan
2020. PLOS Neglected Tropical Diseases. [link]
Y. Tian, R. Chunara
Quasi-experimental Designs for Assessing Response on Social Media to Policy Changes
2020. Proceedings of the 14th International AAAI Conference on Web and Social Media. ICWSM 2020. [pre-print]
Best paper honorable mention award.
V. Mhasawade, N.A. Rehman, R. Chunara
Population-aware Hierarchical Bayesian Domain Adaptation via Multi-Component Learning
2020. ACM Conference on Health, Inference and Learning. [link]
C. Kuhlman, L. Jackson, R. Chunara
No computation without representation: Avoiding data and algorithm biases through diversity
2020. Ethics of Data Science Conference (accepted). [pre-print]
A. Daughton, R. Chunara, M.J. Paul
Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study
2020. JMIR Public Health and Surveillance. [link]
V. Mhasawade, A. Elghafari, D. Duncan, R. Chunara
Role of the Built and Online Social Environments on Expression of Dining on Instagram
2020. International Journal of Environmental Research and Public Health. [link]
H. Singh, R. Singh, V. Mhasawade, R. Chunara
Fair Predictors Under Distribution Shift
2019. NeurIPS Fair Machine Learning for Health Workshop. [pdf]
Selected for spotlight presentation.
M. Akbari, R. Chunara
Using Contextual Information to Improve Blood Glucose Prediction
2019. Machine Learning for Healthcare Conference. [pdf]
N.A. Rehman, U. Saif, R. Chunara
Deep Landscape Features for Improving Vector-borne Disease Prediction
2019. CVPR Workshop on Computer Vision for Global Challenges. [pdf]
Selected for oral presentation.
K. Relia, Z. Li, S.H. Cook, R. Chunara
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities
2019. Proceedings of the 13th International AAAI Conference on Web and Social Media. ICWSM 2019. [pdf]
Highlighted in VICE
V. Mhasawade, N. A. Rehman, R. Chunara
Population-aware Hierarchical Bayesian Domain Adaptation
2018. NeurIPS Machine Learning for Health Workshop. [pdf]
S. Feng, K. Grépin, R. Chunara
Tracking health seeking behavior during an Ebola outbreak via mobile phones and SMS
2018. npj Digital Medicine. [pdf]
Highlighted in ACM Technews, BBC World Service Radio
N.A. Rehman, K. Relia, R. Chunara
Creating Full Individual-level Location Timelines from Sparse Social Media Data
2018. ACM Sigspatial. [pdf]
K. Relia, M. Akbari, D. Duncan, R. Chunara
Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes
2018. Proceedings of the ACM: Human Computer Interaction (PACM), CSCW 2018. [pdf]
A.R. Daughton, M.J. Paul, R. Chunara.
What do people tweet when they’re sick? A preliminary comparison of symptom reports and Twitter timelines.
2018. ICWSM Workshop on Social Media and Health, Stanford, California. [pdf]
M. Akbari, K. Relia, A. Elghafari, R. Chunara.
From the User to the Medium: Neural Profiling Across Web Communities.
2018. Proceedings of the 12th International AAAI Conference on Web and Social Media. ICWSM 2018. [pdf]
T. Huang, A. Elghafari, K. Relia, R. Chunara
High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data
2018. Proceedings of the ACM: Human Computer Interaction (PACM), CSCW 2018 Online First. [pdf]
O. Kolawole, M. Oguntoye, T. Dam, R. Chunara
Etiology of Respiratory Tract Infections in the Community and Clinic in Ilorin, Nigeria
2017. BMC Research Notes. [pdf]
K. Baltrusaitis, M. Santillana, A.W. Crawley, R. Chunara, M. Smolinski, J.S. Brownstein
Determinants of Participants’ Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System
2017. JMIR Public Health Surveill. [link]
J. Liu, E.R. Weitzman, R. Chunara
Assessing Behavioral Stages From Social Media Data
2017. ACM Conference on Computer-Supported Cooperative Work and Social Computing. [pdf]
R. Chunara, L.W. Wisk, E.R. Weitzman
Denominator Issues for Personally-Generated Data in Population Health Monitoring.
2016. American Journal of Preventative Medicine. [pdf]
B. Ray, R. Chunara.
Predicting Acute Respiratory Infections from Participatory Data.
2016. International Society for Disease Surveillance Conference. Atlanta, USA. (accepted for Oral Presentation). [pdf]
Second Prize Award for Outstanding Student or Post-Degree Abstract.
B. Ray, E. Ghedin, R. Chunara
Network Inference from Multimodal data: A Review of Approaches from Infectious Disease Transmission
2016. JBI. [pdf]
N.A. Rehman, J. Liu, R. Chunara.
Using Propensity Score Matching to Understand the Relationship Between Online Health Information Sources and Vaccination Sentiment.
2016. AAAI Spring Symposium. Palo Alto, CA. [pdf]
B. Ray, R. Chunara.
Integrating Genomic Data in a Community-based Multi-modal Viral Transmission Model for Network Inference.
2015. NIPS Workshop on Machine Learning for Healthcare. Montréal, Canada. [pdf]
H. Bai, R. Chunara and L.R. Varshney.
Social Capital Deserts: Obesity Surveillance using a Location-Based Social Network.
2015. Proceedings of the Data for Good Exchange (D4GX). New York, NY (NYC Media Lab – Bloomberg Data for Good Exchange Paper Award) [pdf]
D. McIver, J. Hawkins, R. Chunara, A. Chatterjee, A. Bhandari, T. Fitzgerald, S. Jain, J.S. Brownstein.
Characterizing Sleep Issues Using Twitter.
2015. JMIR. [pdf]
R. Chunara, E. Goldstein, J.S. Brownstein.
Estimating Influenza Attack Rates in the United States using a Participatory Cohort.
2015. Sci Rep. [pdf]
J. Goff, A. Rowe, J.S. Brownstein, R. Chunara.
Surveillance of Acute Respiratory Infections Using Community-Submitted Symptoms and Specimens for Molecular Diagnostic Testing.
2015. PLoS Currents. [html]
R. Nagar, Q. Yuan, C.C. Freifeld, M. Santillana, A. Nojima, R. Chunara, J.S. Brownstein.
A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives.
2014. JMIR. [pdf]
J. Goff, A. Rowe, R. Chunara
First Feasibility of a Surveillance Platform Combining Community-submitted Symptoms and Specimens for Molecular Diagnostic
Testing.
2014. AMIA [pdf]
R. Chunara, L. Bouton, J.W. Ayers, J.S. Brownstein.
Assessing the Online Social Environment for Surveillance of Obesity Prevalence.
2013. PLoS ONE. [pdf]
R. Chunara, J.R. Andrews, J.S. Brownstein.
Social and News Media Enable Estimation of Epidemiological Patterns Early in the 2010 Haitian Cholera Outbreak.
2012. Am J Trop Med Hyg. [pdf]
Here’s a link to Rumi Chunara’s Google Scholar page.
Our lab’s GitHub.