Elaine Nsoesie | Profiles RNS

Elaine Nsoesie, PhD

Associate Professor

Boston University School of Public Health

Global Health

PhD, Virginia Tech
MS, Virginia Tech
BS, University of Maryland

Websites

	Center for Antiracist Research
	LinkedIn
	Google Scholar
	SPH
	HIC
	Twitter

ORCID : 0000-0001-9170-8714

Elaine O. Nsoesie is an Associate Professor in the Department of Global Health at the Boston University School of Public Health. She is an internationally recognized data scientist and a leading voice on the use of data and technology to advance health equity. She is a Data Science Faculty Fellow and was a Founding Faculty of the Boston University Faculty of Computing and Data Sciences.

She served as a program lead and senior advisor to 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. She also led the Racial Data Tracker project at the Boston University Center for Antiracist Research.

She has expertise in the application of data science methods (including, machine learning and artificial intelligence) and data from non-traditional public health sources (such as, mobile phones, satellites, and social media) to address major global health challenges. 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.

She has published extensively in peer-reviewed literature. She is also known for her ability to effectively communicate complex information with diverse audiences. She has given invited talks including keynotes and distinguished lectures at conferences, workshops and institutions across five continents. Nsoesie has received international, regional and institutional awards for her research and service, including an NIH Director's Award given to the AIM-AHEAD Development and Launch Team, Mozilla Rise25 Award, the Boston University School of Public Health Excellence in Public Health Practice Award and the Boston Congress of Public Health’s Health Innovators to Watch Award.

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

BU 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 - 12/31/2022 (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

Gaye B, Isiozor NM, Singh G, Gaye ND, Ka MM, Seck D, Gueye K, Kitara DL, Lassale C, Malick A, Diaw M, Seck SM, Sow A, Gaye M, Fall AS, Diongue A, Seck I, Belkhadir J, Wone I, Gueye SM, Sow PS, Kohen JE, Vogelsang D, Mbaye MN, Liyong EA, Kengne AP, Lamptey R, Sougou NM, Sobngwi E, Ba A, Tukakira J, Lorenz T, Kabore EG, Muzumala MG, Olanrewaju A, Jaiteh LE, Delicat-Loembet LM, Alson AOR, Niang K, Maina CW, Mwebaze E, Nabende J, Machuve D, Adie P, Hanne F, Tine R, Sougou M, Koffi KG, Luwanda L, Sattler ELP, Mekonnen D, Ebeid F, Enama JP, Zeba M, Guedou F, Mbelesso P, Carter J, Coulibaly B, Drame ML, Mouanga A, Preux PM, Lacroix P, Diagana M, Ekouevi DK, Houinato D, Faye A, Wambugu V, Kamaté J, Lalika M, Nsoesie E, Ale BM, Fall IS, Samb A, Tshilolo L, Jobe M. Barriers to global engagement for African researchers: A position paper from the Alliance for Medical Research in Africa (AMedRA). J Glob Health. 2024 Oct 18; 14:03042. PMID: 39421942; DOI: 10.7189/jogh.14.03042;

Nsoesie EO, Ghassemi M. Using labels to limit AI misuse in health. Nat Comput Sci. 2024 Sep; 4(9):638-640. PMID: 39317757

Ferryman K, Cesare N, Creary M, Nsoesie EO. Racism is an ethical issue for healthcare artificial intelligence. Cell Rep Med. 2024 Jun 18; 5(6):101617.View Related Profiles.

Nsoesie, Elaine
Cesare, Nina

PMID: 38897175; DOI: 10.1016/j.xcrm.2024.101617;

Mendez SR, Nsoesie EO, Abdul Rahman E, Biggs O, Weinman M. From Theory to Practice: Mitigating the Harm of Online Harassment in Public Health. J Health Commun. 2024 Jun 02; 29(6):403-406. PMID: 38785105

Akinseinde SA, Kosemani S, Osuolale E, Cesare N, Pellicane S, Nsoesie EO. Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria. PLoS One. 2023; 18(9):e0291118.View Related Profiles.

Nsoesie, Elaine
Cesare, Nina

PMID: 37682911; DOI: 10.1371/journal.pone.0291118;

Babbs G, Weber SE, Abdalla SM, Cesare N, Nsoesie EO. Use of machine learning methods to understand discussions of female genital mutilation/cutting on social media. PLOS Glob Public Health. 2023; 3(7):e0000878.View Related Profiles.

Nsoesie, Elaine
Cesare, Nina
Abdalla, Salma

PMID: 37490461; DOI: 10.1371/journal.pgph.0000878;

Lundberg DJ, Wrigley-Field E, Cho A, Raquib R, Nsoesie EO, Paglino E, Chen R, Kiang MV, Riley AR, Chen YH, Charpignon ML, Hempstead K, Preston SH, Elo IT, Glymour MM, Stokes AC. COVID-19 Mortality by Race and Ethnicity in US Metropolitan and Nonmetropolitan Areas, March 2020 to February 2022. JAMA Netw Open. 2023 May 01; 6(5):e2311098.View Related Profiles.

Stokes, Andrew
Nsoesie, Elaine
Glymour, Maria
Chen, Ruijia

PMID: 37129894; DOI: 10.1001/jamanetworkopen.2023.11098;

Yang Y, Cho A, Nguyen Q, Nsoesie EO. Association of Neighborhood Racial and Ethnic Composition and Historical Redlining With Built Environment Indicators Derived From Street View Images in the US. JAMA Netw Open. 2023 Jan 03; 6(1):e2251201. PMID: 36652250; DOI: 10.1001/jamanetworkopen.2022.51201;

Nsoesie EO, Vu C. Monkeypox: Where are the racial disparities? Lancet Reg Health Am. 2023 Jan; 17:100372. PMID: 36249074; DOI: 10.1016/j.lana.2022.100372;

Nsoesie EO, Galea S. Towards better Data Science to address racial bias and health equity. PNAS Nexus. 2022 Jul; 1(3):pgac120.View Related Profiles.

Nsoesie, Elaine
Galea, Sandro

PMID: 36741434; DOI: 10.1093/pnasnexus/pgac120;

Showing 10 of 75 results. Show More

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

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.

Stokes, Andrew
Nsoesie, Elaine

PMID: 35898347; DOI: 10.1101/2022.07.20.22277872;

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.

Nsoesie, Elaine
Cesare, Nina

PMID: 35721836; DOI: 10.1016/j.patter.2022.100547;

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.

Nsoesie, Elaine
Sabin, Lora
Abdalla, Salma
Galea, Sandro
Fazaludeen Koya, Muhammed Shaffi

PMID: 35705225; DOI: 10.1136/bmjgh-2022-008858;

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; DOI: 10.1038/s41467-022-30688-8;

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

Ghassemi M, Nsoesie EO. In medicine, how do we machine learn anything real? Patterns (N Y). 2022 Jan 14; 3(1):100392. PMID: 35079713; DOI: 10.1016/j.patter.2021.100392;

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; DOI: 10.1016/j.sciaf.2021.e01041;

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; DOI: 10.1016/S0140-6736(21)01609-3;

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; DOI: 10.1038/s41746-021-00489-2;

Oladeji O, Zhang C, Moradi T, Tarapore D, Stokes AC, Marivate V, Sengeh MD, Nsoesie EO. Monitoring Information-Seeking Patterns and Obesity Prevalence in Africa With Internet Search Data: Observational Study. JMIR Public Health Surveill. 2021 04 29; 7(4):e24348.View Related Profiles.

Stokes, Andrew
Nsoesie, Elaine

PMID: 33913815; DOI: 10.2196/24348;

Nsoesie EO, Oladeji O, Abah ASA, Ndeffo-Mbah ML. Forecasting influenza-like illness trends in Cameroon using Google Search Data. Sci Rep. 2021 03 24; 11(1):6713. PMID: 33762599; DOI: 10.1038/s41598-021-85987-9;

Nsoesie EO, Cesare N, Müller M, Ozonoff A. COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study. J Med Internet Res. 2020 12 15; 22(12):e24425.View Related Profiles.

Ozonoff, Alexander
Nsoesie, Elaine
Cesare, Nina

PMID: 33264102; DOI: 10.2196/24425;

Jay J, Bor J, Nsoesie EO, Lipson SK, Jones DK, Galea S, Raifman J. Neighbourhood income and physical distancing during the COVID-19 pandemic in the United States. Nat Hum Behav. 2020 12; 4(12):1294-1302.View Related Profiles.

Jones, David
Nsoesie, Elaine
Bor, Jacob
Jay, Jonathan
Raifman, Julia
Galea, Sandro
Lipson, Sarah

PMID: 33144713; DOI: 10.1038/s41562-020-00998-2;

Zhao N, Charland K, Carabali M, Nsoesie EO, Maheu-Giroux M, Rees E, Yuan M, Garcia Balaguera C, Jaramillo Ramirez G, Zinszer K. Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia. PLoS Negl Trop Dis. 2020 09; 14(9):e0008056. PMID: 32970674; DOI: 10.1371/journal.pntd.0008056;

Nsoesie EO, Lima Neto AS, Jay J, Wang H, Zinszer K, Saha S, Maharana A, Marinho F, Soares Filho AM. Mapping disparities in homicide trends across Brazil: 2000-2014. Inj Epidemiol. 2020 Sep 07; 7(1):47.View Related Profiles.

Nsoesie, Elaine
Jay, Jonathan

PMID: 32892747; DOI: 10.1186/s40621-020-00273-y;

Nsoesie EO, Oladeji O, Sengeh MD. Digital platforms and non-communicable diseases in sub-Saharan Africa. Lancet Digit Health. 2020 04; 2(4):e158-e159. PMID: 33328075

Cesare N, Oladeji O, Ferryman K, Wijaya D, Hendricks-Muñoz KD, Ward A, Nsoesie EO. Discussions of miscarriage and preterm births on Twitter. Paediatr Perinat Epidemiol. 2020 09; 34(5):544-552.View Related Profiles.

Nsoesie, Elaine
Cesare, Nina

PMID: 31912544; DOI: 10.1111/ppe.12622;

Parpia AS, Skrip LA, Nsoesie EO, Ngwa MC, Abah Abah AS, Galvani AP, Ndeffo-Mbah ML. Spatio-temporal dynamics of measles outbreaks in Cameroon. Ann Epidemiol. 2020 02; 42:64-72.e3. PMID: 31902625; DOI: 10.1016/j.annepidem.2019.10.007;

Cesare N, Dwivedi P, Nguyen Q, Nsoesie EO. Use of Social Media, Search Queries, and Demographic Data to Assess Obesity Prevalence in the United States. Palgrave Commun. 2019; 5(1).View Related Profiles.

Nsoesie, Elaine
Cesare, Nina

PMID: 32661492; DOI: 10.1057/s41599-019-0314-x;

Maharana A, Cai K, Hellerstein J, Hswen Y, Munsell M, Staneva V, Verma M, Vint C, Wijaya D, Nsoesie EO. Detecting reports of unsafe foods in consumer product reviews. JAMIA Open. 2019 Oct; 2(3):330-338. PMID: 31984365; DOI: 10.1093/jamiaopen/ooz030;

Cesare N, Nguyen QC, Grant C, Nsoesie EO. Social media captures demographic and regional physical activity. BMJ Open Sport Exerc Med. 2019; 5(1):e000567.View Related Profiles.

Nsoesie, Elaine
Cesare, Nina

PMID: 31423323; DOI: 10.1136/bmjsem-2019-000567;

Jalal M, Wang K, Jefferson S, Zheng Y, Nsoesie EO, and Betke M. Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types. In Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management. 2019; 50-59. View Publication

Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 11 10; 392(10159):1859-1922. PMID: 30415748; DOI: 10.1016/S0140-6736(18)32335-3;

Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 11 10; 392(10159):1684-1735. PMID: 30496102; DOI: 10.1016/S0140-6736(18)31891-9;

Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 11 10; 392(10159):1789-1858. PMID: 30496104; DOI: 10.1016/S0140-6736(18)32279-7;

Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 11 10; 392(10159):1923-1994. PMID: 30496105; DOI: 10.1016/S0140-6736(18)32225-6;

Nsoesie EO. Evaluating Artificial Intelligence Applications in Clinical Settings. JAMA Netw Open. 2018 09 07; 1(5):e182658. PMID: 30646173

Maharana A, Nsoesie EO. Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity. JAMA Netw Open. 2018 08 03; 1(4):e181535. PMID: 30646134; DOI: 10.1001/jamanetworkopen.2018.1535;

Harris JK, Hinyard L, Beatty K, Hawkins JB, Nsoesie EO, Mansour R, Brownstein JS. Evaluating the Implementation of a Twitter-Based Foodborne Illness Reporting Tool in the City of St. Louis Department of Health. Int J Environ Res Public Health. 2018 04 24; 15(5). PMID: 29695038; DOI: 10.3390/ijerph15050833;

Mokdad AH, Ballestros K, Echko M, Glenn S, Olsen HE, Mullany E, Lee A, Khan AR, Ahmadi A, Ferrari AJ, Kasaeian A, Werdecker A, Carter A, Zipkin B, Sartorius B, Serdar B, Sykes BL, Troeger C, Fitzmaurice C, Rehm CD, Santomauro D, Kim D, Colombara D, Schwebel DC, Tsoi D, Kolte D, Nsoesie E, Nichols E, Oren E, Charlson FJ, Patton GC, Roth GA, Hosgood HD, Whiteford HA, Kyu H, Erskine HE, Huang H, Martopullo I, Singh JA, Nachega JB, Sanabria JR, Abbas K, Ong K, Tabb K, Krohn KJ, Cornaby L, Degenhardt L, Moses M, Farvid M, Griswold M, Criqui M, Bell M, Nguyen M, Wallin M, Mirarefin M, Qorbani M, Younis M, Fullman N, Liu P, Briant P, Gona P, Havmoller R, Leung R, Kimokoti R, Bazargan-Hejazi S, Hay SI, Yadgir S, Biryukov S, Vollset SE, Alam T, Frank T, Farid T, Miller T, Vos T, Bärnighausen T, Gebrehiwot TT, Yano Y, Al-Aly Z, Mehari A, Handal A, Kandel A, Anderson B, Biroscak B, Mozaffarian D, Dorsey ER, Ding EL, Park EK, Wagner G, Hu G, Chen H, Sunshine JE, Khubchandani J, Leasher J, Leung J, Salomon J, Unutzer J, Cahill L, Cooper L, Horino M, Brauer M, Breitborde N, Hotez P, Topor-Madry R, Soneji S, Stranges S, James S, Amrock S, Jayaraman S, Patel T, Akinyemiju T, Skirbekk V, Kinfu Y, Bhutta Z, Jonas JB, Murray CJL. The State of US Health, 1990-2016: Burden of Diseases, Injuries, and Risk Factors Among US States. JAMA. 2018 04 10; 319(14):1444-1472.View Related Profiles.

Nsoesie, Elaine
Bhutta, Zulfiqar

PMID: 29634829; DOI: 10.1001/jama.2018.0158;

Harris JK, Hawkins JB, Nguyen L, Nsoesie EO, Tuli G, Mansour R, Brownstein JS. Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project. J Public Health Manag Pract. 2017 Nov/Dec; 23(6):577-580. PMID: 28166175; DOI: 10.1097/PHH.0000000000000516;

Nguyen QC, McCullough M, Meng HW, Paul D, Li D, Kath S, Loomis G, Nsoesie EO, Wen M, Smith KR, Li F. Geotagged US Tweets as Predictors of County-Level Health Outcomes, 2015-2016. Am J Public Health. 2017 11; 107(11):1776-1782. PMID: 28933925; DOI: 10.2105/AJPH.2017.303993;

Quade P, Nsoesie EO. A Platform for Crowdsourced Foodborne Illness Surveillance: Description of Users and Reports. JMIR Public Health Surveill. 2017 Jul 05; 3(3):e42. PMID: 28679492; DOI: 10.2196/publichealth.7076;

Kassebaum N, Kyu HH, Zoeckler L, Olsen HE, Thomas K, Pinho C, Bhutta ZA, Dandona L, Ferrari A, Ghiwot TT, Hay SI, Kinfu Y, Liang X, Lopez A, Malta DC, Mokdad AH, Naghavi M, Patton GC, Salomon J, Sartorius B, Topor-Madry R, Vollset SE, Werdecker A, Whiteford HA, Abate KH, Abbas K, Damtew SA, Ahmed MB, Akseer N, Al-Raddadi R, Alemayohu MA, Altirkawi K, Abajobir AA, Amare AT, Antonio CAT, Arnlov J, Artaman A, Asayesh H, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Bacha U, Betsu BD, Barac A, Bärnighausen TW, Baye E, Bedi N, Bensenor IM, Berhane A, Bernabe E, Bernal OA, Beyene AS, Biadgilign S, Bikbov B, Boyce CA, Brazinova A, Hailu GB, Carter A, Castañeda-Orjuela CA, Catalá-López F, Charlson FJ, Chitheer AA, Choi JJ, Ciobanu LG, Crump J, Dandona R, Dellavalle RP, Deribew A, deVeber G, Dicker D, Ding EL, Dubey M, Endries AY, Erskine HE, Faraon EJA, Faro A, Farzadfar F, Fernandes JC, Fijabi DO, Fitzmaurice C, Fleming TD, Flor LS, Foreman KJ, Franklin RC, Fraser MS, Frostad JJ, Fullman N, Gebregergs GB, Gebru AA, Geleijnse JM, Gibney KB, Gidey Yihdego M, Ginawi IAM, Gishu MD, Gizachew TA, Glaser E, Gold AL, Goldberg E, Gona P, Goto A, Gugnani HC, Jiang G, Gupta R, Tesfay FH, Hankey GJ, Havmoeller R, Hijar M, Horino M, Hosgood HD, Hu G, Jacobsen KH, Jakovljevic MB, Jayaraman SP, Jha V, Jibat T, Johnson CO, Jonas J, Kasaeian A, Kawakami N, Keiyoro PN, Khalil I, Khang YH, Khubchandani J, Ahmad Kiadaliri AA, Kieling C, Kim D, Kissoon N, Knibbs LD, Koyanagi A, Krohn KJ, Kuate Defo B, Kucuk Bicer B, Kulikoff R, Kumar GA, Lal DK, Lam HY, Larson HJ, Larsson A, Laryea DO, Leung J, Lim SS, Lo LT, Lo WD, Looker KJ, Lotufo PA, Magdy Abd El Razek H, Malekzadeh R, Markos Shifti D, Mazidi M, Meaney PA, Meles KG, Memiah P, Mendoza W, Abera Mengistie M, Mengistu GW, Mensah GA, Miller TR, Mock C, Mohammadi A, Mohammed S, Monasta L, Mueller U, Nagata C, Naheed A, Nguyen G, Nguyen QL, Nsoesie E, Oh IH, Okoro A, Olusanya JO, Olusanya BO, Ortiz A, Paudel D, Pereira DM, Perico N, Petzold M, Phillips MR, Polanczyk GV, Pourmalek F, Qorbani M, Rafay A, Rahimi-Movaghar V, Rahman M, Rai RK, Ram U, Rankin Z, Remuzzi G, Renzaho AMN, Roba HS, Rojas-Rueda D, Ronfani L, Sagar R, Sanabria JR, Kedir Mohammed MS, Santos IS, Satpathy M, Sawhney M, Schöttker B, Schwebel DC, Scott JG, Sepanlou SG, Shaheen A, Shaikh MA, She J, Shiri R, Shiue I, Sigfusdottir ID, Singh J, Silpakit N, Smith A, Sreeramareddy C, Stanaway JD, Stein DJ, Steiner C, Sufiyan MB, Swaminathan S, Tabarés-Seisdedos R, Tabb KM, Tadese F, Tavakkoli M, Taye B, Teeple S, Tegegne TK, Temam Shifa G, Terkawi AS, Thomas B, Thomson AJ, Tobe-Gai R, Tonelli M, Tran BX, Troeger C, Ukwaja KN, Uthman O, Vasankari T, Venketasubramanian N, Vlassov VV, Weiderpass E, Weintraub R, Gebrehiwot SW, Westerman R, Williams HC, Wolfe CDA, Woodbrook R, Yano Y, Yonemoto N, Yoon SJ, Younis MZ, Yu C, Zaki MES, Zegeye EA, Zuhlke LJ, Murray CJL, Vos T. Child and Adolescent Health From 1990 to 2015: Findings From the Global Burden of Diseases, Injuries, and Risk Factors 2015 Study. JAMA Pediatr. 2017 Jun 01; 171(6):573-592.View Related Profiles.

Nsoesie, Elaine
Bhutta, Zulfiqar

PMID: 28384795; DOI: 10.1001/jamapediatrics.2017.0250;

Henly S, Tuli G, Kluberg SA, Hawkins JB, Nguyen QC, Anema A, Maharana A, Brownstein JS, Nsoesie EO. Disparities in digital reporting of illness: A demographic and socioeconomic assessment. Prev Med. 2017 Aug; 101:18-22. PMID: 28528170; DOI: 10.1016/j.ypmed.2017.05.009;

Karimkhani C, Dellavalle RP, Coffeng LE, Flohr C, Hay RJ, Langan SM, Nsoesie EO, Ferrari AJ, Erskine HE, Silverberg JI, Vos T, Naghavi M. Global Skin Disease Morbidity and Mortality: An Update From the Global Burden of Disease Study 2013. JAMA Dermatol. 2017 05 01; 153(5):406-412. PMID: 28249066; DOI: 10.1001/jamadermatol.2016.5538;

Ghosh S, Chakraborty P, Nsoesie EO, Cohn E, Mekaru SR, Brownstein JS, Ramakrishnan N. Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. Sci Rep. 2017 01 19; 7:40841. PMID: 28102319; DOI: 10.1038/srep40841;

Zinszer K, Morrison K, Brownstein JS, Marinho F, Santos AF, Nsoesie EO. Reconstruction of Zika Virus Introduction in Brazil. Emerg Infect Dis. 2017 01; 23(1):91-94. PMID: 27618573; DOI: 10.3201/eid2301.161274;

Kraemer MUG, Faria NR, Reiner RC, Golding N, Nikolay B, Stasse S, Johansson MA, Salje H, Faye O, Wint GRW, Niedrig M, Shearer FM, Hill SC, Thompson RN, Bisanzio D, Taveira N, Nax HH, Pradelski BSR, Nsoesie EO, Murphy NR, Bogoch II, Khan K, Brownstein JS, Tatem AJ, de Oliveira T, Smith DL, Sall AA, Pybus OG, Hay SI, Cauchemez S. Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015-16: a modelling study. Lancet Infect Dis. 2017 03; 17(3):330-338. PMID: 28017559; DOI: 10.1016/S1473-3099(16)30513-8;

Nsoesie EO, Flor L, Hawkins J, Maharana A, Skotnes T, Marinho F, Brownstein JS. Social Media as a Sentinel for Disease Surveillance: What Does Sociodemographic Status Have to Do with It? PLoS Curr. 2016 Dec 07; 8. PMID: 28123858; DOI: 10.1371/currents.outbreaks.cc09a42586e16dc7dd62813b7ee5d6b6;

Nguyen QC, Li D, Meng HW, Kath S, Nsoesie E, Li F, Wen M. Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity. JMIR Public Health Surveill. 2016 Oct 17; 2(2):e158. PMID: 27751984; DOI: 10.2196/publichealth.5869;

Nsoesie EO, Kraemer MU, Golding N, Pigott DM, Brady OJ, Moyes CL, Johansson MA, Gething PW, Velayudhan R, Khan K, Hay SI, Brownstein JS. Global distribution and environmental suitability for chikungunya virus, 1952 to 2015. Euro Surveill. 2016 May 19; 21(20). PMID: 27239817; DOI: 10.2807/1560-7917.ES.2016.21.20.30234;

Ndeffo-Mbah ML, Durham DP, Skrip LA, Nsoesie EO, Brownstein JS, Fish D, Galvani AP. Evaluating the effectiveness of localized control strategies to curtail chikungunya. Sci Rep. 2016 Apr 05; 6:23997. PMID: 27045523; DOI: 10.1038/srep23997;

Santillana M, Nguyen AT, Dredze M, Paul MJ, Nsoesie EO, Brownstein JS. Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput Biol. 2015 Oct; 11(10):e1004513. PMID: 26513245; DOI: 10.1371/journal.pcbi.1004513;

Althouse BM, Scarpino SV, Meyers LA, Ayers JW, Bargsten M, Baumbach J, Brownstein JS, Castro L, Clapham H, Cummings DA, Del Valle S, Eubank S, Fairchild G, Finelli L, Generous N, George D, Harper DR, Hébert-Dufresne L, Johansson MA, Konty K, Lipsitch M, Milinovich G, Miller JD, Nsoesie EO, Olson DR, Paul M, Polgreen PM, Priedhorsky R, Read JM, Rodríguez-Barraquer I, Smith DJ, Stefansen C, Swerdlow DL, Thompson D, Vespignani A, Wesolowski A. Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. 2015; 4. PMID: 27990325; DOI: 10.1140/epjds/s13688-015-0054-0;

Hawkins JB, Brownstein JS, Tuli G, Runels T, Broecker K, Nsoesie EO, McIver DJ, Rozenblum R, Wright A, Bourgeois FT, Greaves F. Measuring patient-perceived quality of care in US hospitals using Twitter. BMJ Qual Saf. 2016 06; 25(6):404-13. PMID: 26464518; DOI: 10.1136/bmjqs-2015-004309;

Nsoesie EO, Ricketts RP, Brown HE, Fish D, Durham DP, Ndeffo Mbah ML, Christian T, Ahmed S, Marcellin C, Shelly E, Owers K, Wenzel N, Galvani AP, Brownstein JS. Spatial and Temporal Clustering of Chikungunya Virus Transmission in Dominica. PLoS Negl Trop Dis. 2015; 9(8):e0003977. PMID: 26274813; DOI: 10.1371/journal.pntd.0003977;

Nsoesie EO, Butler P, Ramakrishnan N, Mekaru SR, Brownstein JS. Monitoring disease trends using hospital traffic data from high resolution satellite imagery: a feasibility study. Sci Rep. 2015 Mar 13; 5:9112. PMID: 25765943; DOI: 10.1038/srep09112;

Nsoesie EO, Brownstein JS. Computational approaches to influenza surveillance: beyond timeliness. Cell Host Microbe. 2015 Mar 11; 17(3):275-278. PMID: 25766284; DOI: 10.1016/j.chom.2015.02.004;

Nsoesie EO, Kluberg SA, Mekaru SR, Majumder MS, Khan K, Hay SI, Brownstein JS. New digital technologies for the surveillance of infectious diseases at mass gathering events. Clin Microbiol Infect. 2015 Feb; 21(2):134-40. PMID: 25636385; DOI: 10.1016/j.cmi.2014.12.017;

Santillana M, Nsoesie EO, Mekaru SR, Scales D, Brownstein JS. Using clinicians' search query data to monitor influenza epidemics. Clin Infect Dis. 2014 Nov 15; 59(10):1446-50. PMID: 25115873; DOI: 10.1093/cid/ciu647;

Nsoesie EO, Kluberg SA, Brownstein JS. Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports. Prev Med. 2014 Oct; 67:264-9. PMID: 25124281; DOI: 10.1016/j.ypmed.2014.08.003;

Khan K, Bogoch I, Brownstein JS, Miniota J, Nicolucci A, Hu W, Nsoesie EO, Cetron M, Creatore MI, German M, Wilder-Smith A. Assessing the origin of and potential for international spread of chikungunya virus from the Caribbean. PLoS Curr. 2014 Jun 06; 6. PMID: 24944846; DOI: 10.1371/currents.outbreaks.2134a0a7bf37fd8d388181539fea2da5;

Nsoesie EO, Mekaru SR, Ramakrishnan N, Marathe MV, Brownstein JS. Modeling to predict cases of hantavirus pulmonary syndrome in Chile. PLoS Negl Trop Dis. 2014 Apr; 8(4):e2779. PMID: 24763320; DOI: 10.1371/journal.pntd.0002779;

Nsoesie EO, Buckeridge DL, Brownstein JS. Guess who's not coming to dinner? Evaluating online restaurant reservations for disease surveillance. J Med Internet Res. 2014 Jan 22; 16(1):e22. PMID: 24451921; DOI: 10.2196/jmir.2998;

Nsoesie EO, Leman SC, Marathe MV. A Dirichlet process model for classifying and forecasting epidemic curves. BMC Infect Dis. 2014 Jan 09; 14:12. PMID: 24405642; DOI: 10.1186/1471-2334-14-12;

Nsoesie EO, Brownstein JS, Ramakrishnan N, Marathe MV. A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza Other Respir Viruses. 2014 May; 8(3):309-16. PMID: 24373466; DOI: 10.1111/irv.12226;

Nsoesie EO, Beckman RJ, Shashaani S, Nagaraj KS, Marathe MV. A Simulation Optimization Approach to Epidemic Forecasting. PLoS One. 2013; 8(6):e67164. PMID: 23826222; DOI: 10.1371/journal.pone.0067164;

Nsoesie E, Mararthe M, Brownstein J. Forecasting peaks of seasonal influenza epidemics. PLoS Curr. 2013 Jun 21; 5. PMID: 23873050; PMCID: PMC3712489; DOI: 10.1371/currents.outbreaks.bb1e879a23137022ea79a8c508b030bc;

Yuan Q, Nsoesie EO, Lv B, Peng G, Chunara R, Brownstein JS. Monitoring influenza epidemics in china with search query from baidu. PLoS One. 2013; 8(5):e64323. PMID: 23750192; DOI: 10.1371/journal.pone.0064323;

Nsoesie EO, Beckman RJ, Marathe MV. Sensitivity analysis of an individual-based model for simulation of influenza epidemics. PLoS One. 2012; 7(10):e45414. PMID: 23144693; DOI: 10.1371/journal.pone.0045414;

Lewis SN, Nsoesie E, Weeks C, Qiao D, Zhang L. Prediction of disease and phenotype associations from genome-wide association studies. PLoS One. 2011; 6(11):e27175. PMID: 22076134; DOI: 10.1371/journal.pone.0027175;

Lewis SN, Nsoesie E, Weeks C, Qiao D, Zhang L . Type 1 Diabetes - Complications, Pathogenesis, and Alternative Treatments (Chih-Pin Liu ed.). “Meta-analysis of Genome-Wide Association Studies to Understand Disease Relatedness". 2011. View Publication

Nsoesie EO, Beckman R, Marathe M, Lewis B. Prediction of an Epidemic Curve: A Supervised Classification Approach. Stat Commun Infect Dis. 2011 Jan 01; 3(1). PMID: 22997545; DOI: 10.2202/1948-4690.1038;

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

Bar chart showing 75 publications over 14 distinct years, with a maximum of 9 publications in 2022

Bar chart showing 75 publications over 14 distinct years, with a maximum of 9 publications in 2022

Year	Publications
2011	3
2012	1
2013	4
2014	7
2015	6
2016	5
2017	8
2018	8
2019	5
2020	6
2021	5
2022	9
2023	4
2024	4

Media Mentions
Tweets

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Recent (within 3 months)

Why AI might be a game-changer for Africa

Nature 9/18/2024

Older

When drugstores disappear: Why nearly 15,000 Bostonians live in ‘pharmacy deserts’

Boston Globe 7/22/2024

Using AI to Decolonize Health Care in Africa

Think Global Health 5/7/2024

Pharmacy deserts in Black and Latino communities are harming residents

The Boston Globe 1/18/2024

What “Black Resistance” Means to Me

BU Today 2/15/2023

Across the US, White neighborhoods have more greenery, fewer dilapidated buildings, fewer multi-family homes: Study

Phys 1/20/2023

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

Know What’s Good for your Health? Artificial Intelligence

BU Today 5/29/2019

Surveillance for the public good

The Boston Globe 9/23/2018

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