Elaine Nsoesie, PhD
Associate Professor
Boston University School of Public Health
Dept of Global Health

PhD, Virginia Tech
MS, Virginia Tech



Elaine Nsoesie is an Associate Professor in the Department of Global Health at the Boston University School of Public Health. She also leads the Racial Data Tracker project at the Boston University Center for Antiracist Research. She is a Data Science Faculty Fellow and was a Founding Faculty of the Boston University Faculty of Computing and Data Sciences. She currently co-leads the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) Program at the National Institutes of Health through the Intergovernmental Personnel Act (IPA) Mobility Program.

Her research is primarily focused on the use of data and technology to advance health equity. She has published extensively in peer-reviewed literature about opportunities and challenges involved in the use of data from social media, search engines, mobile phones, and other digital technologies for public health surveillance.

Her work approaches health equity from multiple angles, including increasing representation of communities typically underrepresented in data science through programs like Data Science Africa and AIM-AHEAD; addressing bias in health data and algorithms; and using data and policy to advance racial equity. She has collaborated with local departments of health in the U.S. to improve disease surveillance systems, international organizations like UNICEF and UNDP, and served as a Data & Innovation Fellow in the Directorate of Science, Technology, and Innovation (DSTI), The President’s Office, Sierra Leone.

Nsoesie was born and raised in Cameroon.

Nsoesie completed her PhD in Computational Epidemiology from the Genetics, Bioinformatics and Computational Biology program at Virginia Tech, and her PhD dissertation, Sensitivity Analysis and Forecasting in Network Epidemiology Models, at the Network Dynamics and Simulations Science Lab at Virginia Tech BioComplexity Institute. After postdoctoral associate positions at Harvard Medical School and Boston Children’s Hospital, she joined the faculty of the Institute for Health Metrics and Evaluation (IHME) at the University of Washington.

Founding Assistant Professor
Boston University
Computing & Data Sciences Administration


Member
Boston University
Evans Center for Interdisciplinary Biomedical Research




Personnel Agreement for Research Services of Elaine Nsoesie
08/09/2021 - 08/08/2023 (PI)
NIH/Office of the Director


BU Center for Antiracist Research - The Racial Data Tracker
09/01/2020 - 08/31/2022 (PI)
The Ford Foundation


Assessing the representativeness and quality of social media data from Twitter for its usefulness in public health research -- Transfer Grant
01/15/2019 - 10/14/2019 (PI)
Robert Wood Johnson Foundation




Title


Yr Title Project-Sub Proj Pubs

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Analysis       Copy PMIDs To Clipboard

  1. Reyna MA, Nsoesie EO, Clifford GD. Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine. JAMA. 2022 07 26; 328(4):329-330. PMID: 35802382
     
  2. Lundberg DJ, Cho A, Raquib R, Nsoesie EO, Wrigley-Field E, Stokes AC. Geographic and Temporal Patterns in Covid-19 Mortality by Race and Ethnicity in the United States from March 2020 to February 2022. medRxiv. 2022 Jul 21.View Related Profiles. PMID: 35898347; PMCID: PMC9327633; DOI: 10.1101/2022.07.20.22277872;
     
  3. Hernandez MA, Modi S, Mittal K, Dwivedi P, Nguyen QC, Cesare NL, Nsoesie EO. Diet during the COVID-19 pandemic: An analysis of Twitter data. Patterns (N Y). 2022 Aug 12; 3(8):100547.View Related Profiles. PMID: 35721836; PMCID: PMC9197791; DOI: 10.1016/j.patter.2022.100547;
     
  4. Abdalla SM, Hernandez M, Fazaludeen Koya S, Rosenberg SB, Robbins G, Magana L, Nsoesie EO, Sabin L, Galea S. What matters for health? Public views from eight countries. BMJ Glob Health. 2022 Jun; 7(6).View Related Profiles. PMID: 35705225; PMCID: PMC9204457; DOI: 10.1136/bmjgh-2022-008858;
     
  5. Tizzoni M, Nsoesie EO, Gauvin L, Karsai M, Perra N, Bansal S. Addressing the socioeconomic divide in computational modeling for infectious diseases. Nat Commun. 2022 May 24; 13(1):2897. PMID: 35610237; PMCID: PMC9130127; DOI: 10.1038/s41467-022-30688-8;
     
  6. Holtzman GS, A Khoshkhoo N, Nsoesie EO. The Racial Data Gap: Lack of Racial Data as a Barrier to Overcoming Structural Racism. Am J Bioeth. 2022 03; 22(3):39-42. PMID: 35258425
     
  7. Ghassemi M, Nsoesie EO. In medicine, how do we machine learn anything real? Patterns (N Y). 2022 Jan 14; 3(1):100392. PMID: 35079713; PMCID: PMC8767288; DOI: 10.1016/j.patter.2021.100392;
     
  8. Maharana A, Amutorine M, Sengeh MD, Nsoesie EO. COVID-19 and beyond: Use of digital technology for pandemic response in Africa. Sci Afr. 2021 Nov; 14:e01041. PMID: 34746524; PMCID: PMC8565093; DOI: 10.1016/j.sciaf.2021.e01041;
     
  9. Fatal police violence by race and state in the USA, 1980-2019: a network meta-regression. Lancet. 2021 10 02; 398(10307):1239-1255. PMID: 34600625; PMCID: PMC8485022; DOI: 10.1016/S0140-6736(21)01609-3;
     
  10. Sadilek A, Liu L, Nguyen D, Kamruzzaman M, Serghiou S, Rader B, Ingerman A, Mellem S, Kairouz P, Nsoesie EO, MacFarlane J, Vullikanti A, Marathe M, Eastham P, Brownstein JS, Arcas BAY, Howell MD, Hernandez J. Privacy-first health research with federated learning. NPJ Digit Med. 2021 Sep 07; 4(1):132. PMID: 34493770; PMCID: PMC8423792; DOI: 10.1038/s41746-021-00489-2;
     
Showing 10 of 65 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 65 publications over 12 distinct years, with a maximum of 8 publications in 2017 and 2018

YearPublications
20113
20121
20134
20147
20156
20165
20178
20188
20195
20206
20215
20227


Tweets suggest people consumed healthier foods during the pandemic

Medical Xpress 7/26/2022

The Pain Was Unbearable. So Why Did Doctors Turn Her Away?

WIRED 8/11/2021

Does the US have to wear masks again for the Delta variant of Covid?

The Guardian 8/5/2021

Spreading Like a Virus: False Rumor That 5G Causes COVID-19

SciTechDaily 1/20/2021

5G doesn’t cause COVID-19, but the myth spread quickly

Futurity 1/8/2021

Recognizing Miscarriage as an Occasion for Grief

The New York Times 10/19/2020

What We Ask About Coronavirus in Africa

Think Global Health 6/24/2020

The Pandemic and the Protests Are Mirror Images

WIRED 6/10/2020

Satellite date suggests coronavirus may have hit China earlier: Researchers

ABC News 6/8/2020

Protesting Racism Versus Risking COVID-19: ‘I Wouldn’t Weigh These Crises Separately’

NPR 6/1/2020

COVID-19 Project: The Nigerian effort against the pandemic (

Medium Elemental 4/21/2020

COVID-19 Project: The Nigerian Effort Against the Pandemic

Medium Elemental 4/21/2020

Black Americans Face Alarming Rates of Coronavirus Infection in Some States

The New York Times 4/7/2020

Coronavirus Live Updates: Trump Effectively Ousts Top Watchdog for Relief Funds

The New York Times 4/7/2020

How to Spot a Covid-19 Carpetbagger, and an Expert

WIRED 4/5/2020

Can Social Media Predict When You’ll Die?

Futurity 10/1/2019

Can Social Media Predict When You’ll Die?

BU Today 9/27/2019

Tweets Show How Different U.S. Regions Like to Exercise

Futurity 8/27/2019

Twitter Data Shows Who Is Hitting the Gym

BU Today 8/21/2019

Researchers Train AI To Spot Potentially Unsafe Food Products On Amazon

Tech Times 8/8/2019

Social media chatter reveals county-level male v. female exercise patterns

AI In Healthcare 7/19/2019

Researchers use Twitter and AI to see who is hitting the gym

Science Daily 7/18/2019

Researchers use Twitter and artificial intelligence to see who’s exercising

News Medical 7/18/2019

Artificial intelligence could revolutionize medical care. But don’t trust it to read your x-ray just yet

Science Magazine 6/17/2019

Surveillance for the public good

The Boston Globe 9/23/2018
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