MeganPurcellCoffeeMD

PubMed

• 35 citations
  To explain or not to explain?-Artificial intelligence explainability in clinical decision support systems.
  Julia Amann, Dennis Vetter, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee
  PLOS Digital Health. 2022-02-01
• 296 citations
  The National COVID Cohort Collaborative (N3C): Rationale, Design, Infrastructure, and Deployment.
  Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, David Eichmann, Justin Guinney
  Journal of the American Medical Informatics Association. 2021-03-01
• 11 citations
  Use of a community-led prevention strategy to enhance behavioral changes towards Ebola virus disease prevention: a qualitative case study in Western Côte d'Ivoire.
  Lara Gautier, Koffi Ange Houngbedji, Jeanne Uwamaliya, Megan Coffee
  Global Health Research and Policy. 2017-12-22

Journal Articles

• Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity  
  Jiang, Coffee, Bari et al, CMC-Computers, Materials & Continua, 3/30/2020
• Modelling the impact of migration on the HIV epidemic in South Africa  
  Coffee MP, Lurie MN, Garnett GP, AIDS, 1/30/2007
• Prognostic indicators for Ebola patient survival  
  Crowe SJ, Maenner MJ, Kuah S, Erickson BR, Coffee M, Knust B, et al, Emerg Infect Dis, 1/1/2016
• HIV and Schistosoma haematobium prevalences correlate in sub-Saharan Africa  
  Ndeffo Mbah ML, Poolman EM, Drain PK, Coffee MP, van der Werf MJ and Galvani AP, Trop Med Int Health, 1/1/2013
• Post-Earthquake Haiti: A Tinderbox for Disease  
  Coffee, M, Berkeley Health, 1/1/2010
• In vivo radioprotective effects of angiogenic growth factors on the small bowel of C3H mice  
  Okunieff P, Mester M, Wang J, Maddox T, Gong X, Tang D, Coffee M, Ding I, Radiation Research, 1/1/1998
• Open drug discovery for the Zika virus  
  Ekins S, Mietchen D, Coffee M et al, F1000Research, 1/9./2016
• Illustrating and homology modeling the proteins of the Zika virus  
  Ekins S, Liebler J, Neves BJ et al., F1000Research, 1/3./2016
• The Ebola-free label could be dangerous  
  Coffee M, Time Ideas, 1/14/2016
• Finding small molecules for the 'next Ebola'  
  Ekins S,Southan C,Coffee M, F1000Res, 1/27/2015
• FDA approved drugs as potential Ebola treatments  
  Ekins S,Coffee M, F1000Res, 1/19/2015
• A common feature pharmacophore for FDA-approved drugs inhibiting the Ebola virus  
  Ekins S, Freundlich JS, Coffee M, F1000Res, 1/14/2014
• Effect of the one-child policy on influenza transmission in China: a stochastic transmission model  
  Liu F, Enanoria WT, Ray KJ, Coffee MP, Gordon A, Aragón TJ, Yu G, Cowling BJ, Porco TC., PLoS One, 1/6./2014
• Dynamically modeling SARS and other newly emerging respiratory illnesses: past, present, and future  
  Bauch CT, Lloyd-Smith J, Coffee MP, Galvani AP, Epidemiology, 1/1./2005
• Patterns of movement and risk of HIV in rural Zimbabwe  
  Coffee M, Garnett GP, Mlilo M, Voeten H, Chandiwana S, Gregson S., Journal of Infectious Disease., 1/1./2005
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Books/Book Chapters

• Advances in Tuberculosis Medicinal Chemistry 
  Chapter: Addressing Treatment of Tuberculosis where Resources are Limited: Making Regimens Patient-Friendly for the Developing World 
  Page 134.0 - 145.0Coffee, MFuture Medicine2016
• Microbial Drug Resistance 
  Chapter: Extensively drug-resistant tuberculosis: new strains, new challenges 
  Coffee, MEditors: Vladimir Krcmery.Future Medicine2013

Abstracts/Posters

• Modelling the impact of circular migration on the rate of spread and the eventual scale of the HIV epidemic in South Africa
  Coffee M, Garnett GP, Lurie M., XIII International AIDS Conference, Durban, South Africa, 1/1/2000
• The impact of migration dynamics on the HIV epidemic in South Africa: Modelling the influence of observed patterns in KwaZulu/Natal
  Coffee MP, Garnett GP, Lurie MN, eJIAS, Bangkok International XV AIDS Conference, 1/11/2004

Lectures

• Stochastic Individual-based Simulation Model for Flu in Population with Demographic Changes 
  Boston, MA - 1/1/2011
• Advances in the Control and Epidemiology of Emerging Infectious Diseases 
  Santa Ana, CA - 1/1/2010
• Medical Response in Haiti. 
  Cambridge, MA - 1/1/2010
• Futures Group International POLICY Project Satellite Symposium on HIV intervention models 
  Durban, South Africa - 1/1/2000
• Modelling the Role of Different Sexually Transmitted Infections on HIV Transmission Dynamics 
  Toronto - 1/1/2000
• Population Attributable fractions in STD and HIV research 
  Berlin - 1/24/2001
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Other

• POLICY Project – consensus in modeling the HIV epidemic and its control using data from four sites: Report of the ‘Oxford Group.' 
  Garnett GP, Coffee M, Gregson S, Riley S, and Ferguson N, USAID
  1/1/2000
• Thesis: “The Epidemiology of HIV in southern Africa” Mathematical modelling, statistical analysis of HIV transmission dynamics in South Africa and Zimbabwe 
  Wellcome Trust Centre for the Epidemiology of Infectious Disease, Oxford University