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Publications

Peer-reviewed papers, book chapters, and reports. Author order is as published; my name is set in bold. For preprints and work in preparation, see the CV.

15 publications
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2025

Sep 2025

Effect of Paxlovid Treatment during Acute COVID-19 on Long COVID Onset: An EHR-Based Target Trial Emulation from the N3C and RECOVER Consortia

Clinical Informatics

Alexander Preiss†, Abhishek Bhatia†, Leyna V. Aragon, John M. Baratta, Monika Baskaran, Frank Blancero, M. Daniel Brannock, Robert F. Chew, Ivan Diaz, Megan Fitzgerald, Elizabeth P. Kelly, Andrea Zhou, Thomas W. Carton, Fei Wang, Rainu Kaushal, Christopher G. Chute, Melissa Haendel, Richard Moffitt, Emily Pfaff, N3C Consortium, the RECOVER Cohort

PLOS Medicine

DOI for Effect of Paxlovid Treatment during Acute COVID-19 on Long COVID Onset: An EHR-Based Target Trial Emulation from the N3C and RECOVER Consortia PDF for Effect of Paxlovid Treatment during Acute COVID-19 on Long COVID Onset: An EHR-Based Target Trial Emulation from the N3C and RECOVER Consortia Project for Effect of Paxlovid Treatment during Acute COVID-19 on Long COVID Onset: An EHR-Based Target Trial Emulation from the N3C and RECOVER Consortia

Aug 2025

Re-engineering a Machine Learning Phenotype to Adapt to the Changing COVID-19 Landscape: A Machine Learning Modelling Study from the N3C and RECOVER Consortia

Clinical Informatics

Miles Crosskey, Tomas McIntee, Sandy Preiss, Daniel Brannock, Yun Jae Yoo, Emily Hadley, Frank Blancero, Rob Chew, Johanna Loomba, Abhishek Bhatia, Christopher G. Chute, Melissa Haendel, Richard Moffitt, Emily R. Pfaff, N3C Consortium, the RECOVER EHR Cohort

The Lancet Digital Health

DOI for Re-engineering a Machine Learning Phenotype to Adapt to the Changing COVID-19 Landscape: A Machine Learning Modelling Study from the N3C and RECOVER Consortia Article for Re-engineering a Machine Learning Phenotype to Adapt to the Changing COVID-19 Landscape: A Machine Learning Modelling Study from the N3C and RECOVER Consortia Project for Re-engineering a Machine Learning Phenotype to Adapt to the Changing COVID-19 Landscape: A Machine Learning Modelling Study from the N3C and RECOVER Consortia

Apr 2025

Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort

Clinical Informatics

John P. Powers, Tomas J. McIntee, Abhishek Bhatia, Charisse R. Madlock-Brown, Jaime Seltzer, Anisha Sekar, Nita Jain, Mady Hornig, Elle Seibert, Peter J. Leese, Melissa Haendel, Richard Moffitt, Emily R. Pfaff, N3C Consortium, the RECOVER EHR Cohort

Communications Medicine

DOI for Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort Article for Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort Project for Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort

Jan 2025

Effect of Nirmatrelvir/Ritonavir (Paxlovid) on Hospitalization among Adults with COVID-19: An EHR-Based Target Trial Emulation from N3C

Clinical Informatics

Abhishek Bhatia†, Alexander J. Preiss†, Xuya Xiao, M. Daniel Brannock, G. Caleb Alexander, Robert F. Chew, Megan Fitzgerald, Elaine Hill, Elizabeth P. Kelly, Hemalkumar B. Mehta, Charisse Madlock-Brown, Kenneth J. Wilkins, Christopher G. Chute, Melissa Haendel, Richard Moffitt, Emily R. Pfaff

PLOS Medicine

DOI for Effect of Nirmatrelvir/Ritonavir (Paxlovid) on Hospitalization among Adults with COVID-19: An EHR-Based Target Trial Emulation from N3C PDF for Effect of Nirmatrelvir/Ritonavir (Paxlovid) on Hospitalization among Adults with COVID-19: An EHR-Based Target Trial Emulation from N3C Project for Effect of Nirmatrelvir/Ritonavir (Paxlovid) on Hospitalization among Adults with COVID-19: An EHR-Based Target Trial Emulation from N3C

2024

Nov 2024

From Data to Action: How Urban Heat Mapping Campaigns Can Expose Vulnerabilities and Inform Local Heat Policy

Climate & Environment

Christopher Fuhrmann, Andrew Robinson, Charles Konrad, Abhishek Bhatia

Bulletin of the American Meteorological Society

DOI for From Data to Action: How Urban Heat Mapping Campaigns Can Expose Vulnerabilities and Inform Local Heat Policy Article for From Data to Action: How Urban Heat Mapping Campaigns Can Expose Vulnerabilities and Inform Local Heat Policy

2023

Oct 2023

The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems

Digital Health

Verghese Thomas, Bharat Kalidindi, Abijeet Waghmare, Abhishek Bhatia, Tony Raj, Satchit Balsari

JMIR Formative Research

DOI for The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems PDF for The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems Project for The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems

Mar 2023

Geographically Skewed Recruitment and COVID-19 Seroprevalence Estimates: A Cross-Sectional Serosurveillance Study and Mathematical Modelling Analysis

Emergency ResponsePopulation HealthClimate & Environment

Tyler Brown, Pablo Martinez de Salazar Munoz, Abhishek Bhatia, Bridget Bunda, Ellen K. Williams, David Bor, James S. Miller, Amir Mohareb, Julia Thierauf, Wenxin Yang, Julian Villalba, Vivek Naranbai, Wilfredo Garcia Beltran, Tyler E. Miller, Doug Kress, Kristen Stelljes, Keith Johnson, Dan Larremore, Jochen Lennerz, A. John Iafrate, Satchit Balsari, Caroline Buckee, Yonatan Grad

BMJ Open

DOI for Geographically Skewed Recruitment and COVID-19 Seroprevalence Estimates: A Cross-Sectional Serosurveillance Study and Mathematical Modelling Analysis PDF for Geographically Skewed Recruitment and COVID-19 Seroprevalence Estimates: A Cross-Sectional Serosurveillance Study and Mathematical Modelling Analysis Project for Geographically Skewed Recruitment and COVID-19 Seroprevalence Estimates: A Cross-Sectional Serosurveillance Study and Mathematical Modelling Analysis

Feb 2023

Coding Long COVID: Characterizing a New Disease through an ICD-10 Lens

Clinical Informatics

Emily R. Pfaff, Charisse Madlock-Brown, John M. Baratta, Abhishek Bhatia, Hannah Davis, Andrew Girvin, Elaine Hill, Elizabeth Kelly, Kristin Kostka, Johanna Loomba, Julie A. McMurry, Rachel Wong, Tellen D. Bennett, Richard Moffitt, Christopher G. Chute, Melissa Haendel, The N3C Consortium, The RECOVER Consortium

BMC Medicine

DOI for Coding Long COVID: Characterizing a New Disease through an ICD-10 Lens PDF for Coding Long COVID: Characterizing a New Disease through an ICD-10 Lens Project for Coding Long COVID: Characterizing a New Disease through an ICD-10 Lens

2022

Jul 2022

Identifying Who Has Long COVID in the USA: A Machine Learning Approach Using N3C Data

Clinical Informatics

Emily R. Pfaff, Andrew T. Girvin, Tellen D. Bennett, Abhishek Bhatia, Ian M. Brooks, Rachel R. Deer, Jonathan P. Dekermanjian, Sarah Elizabeth Jolley, Michael G. Kahn, Kristin Kostka, Julie A. McMurry, Richard Moffitt, Anita Walden, Christopher G. Chute, Melissa A. Haendel, Carolyn Bramante, David Dorr, Michele Morris, Ann M. Parker, Hythem Sidky, Ken Gersing, Stephanie Hong, Emily Niehaus

The Lancet Digital Health

DOI for Identifying Who Has Long COVID in the USA: A Machine Learning Approach Using N3C Data PDF for Identifying Who Has Long COVID in the USA: A Machine Learning Approach Using N3C Data Project for Identifying Who Has Long COVID in the USA: A Machine Learning Approach Using N3C Data Code for Identifying Who Has Long COVID in the USA: A Machine Learning Approach Using N3C Data

Jan 2022

Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint

Digital HealthEmergency Response

Ahmed Shaikh, Abhishek Bhatia, Ghanshyam Yadav, Shashwat Hora, Chung Won, Mark Shankar, Aaron Heerboth, Prakash Vemulapalli, Paresh Navalkar, Kunal Oswal, Clay Heaton, Sujata Saunik, Tarun Khanna, Satchit Balsari

Journal of Medical Internet Research

DOI for Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint PDF for Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint Project for Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint

2021

Earlier

Dec 2020

Sugary Liquids in the Baby Bottle: Risk for Child Undernutrition and Severe Tooth Decay in Rural El Salvador

Population Health

Priyanka Achalu, Abhishek Bhatia, Bathsheba Turton, Lucy Luna, Karen Sokal-Gutierrez

International Journal of Environmental Research and Public Health

DOI for Sugary Liquids in the Baby Bottle: Risk for Child Undernutrition and Severe Tooth Decay in Rural El Salvador PDF for Sugary Liquids in the Baby Bottle: Risk for Child Undernutrition and Severe Tooth Decay in Rural El Salvador

Aug 2016

A Community-Based Intervention to Reduce Tooth Decay and Malnutrition in Mumbai, India

Population Health

Nehaa Khadka, Shampa Roy, Priyanka Athavale, Abhishek Bhatia, Howard Barkan, Karen Sokal-Gutierrez

Annals of Global Health

DOI for A Community-Based Intervention to Reduce Tooth Decay and Malnutrition in Mumbai, India PDF for A Community-Based Intervention to Reduce Tooth Decay and Malnutrition in Mumbai, India

equal contribution / co-first authorship