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Engineering and Technology

D-Index
40
Citations
12762
World Ranking
7150
National Ranking
1940

Overview

Patrick E. McSharry is affiliated with Carnegie Mellon University in the United States and has contributed extensively to the field of social sciences, focusing on areas such as economics, epidemiology, and urban transportation. Their research encompasses a diverse range of topics that include COVID-19 epidemiological studies, the impacts of the COVID-19 pandemic, HIV and related health risks, vaccine coverage and hesitancy, as well as poverty, education, and child welfare.

Their main fields of study include economics and econometrics, transportation, modeling and simulation, sociology and political science, and epidemiology. These subfields reflect an interdisciplinary approach to understanding social phenomena and public health challenges.

Patrick E. McSharry has published research in several venues known for disseminating scientific knowledge, with frequent contributions to:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Cogent Economics & Finance
  • Research Square (Research Square)
  • SAIEE Africa Research Journal

Their recent papers include:

  • "Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa," 2021, BMC Medical Research Methodology
  • "A global analysis of the effectiveness of policy responses to COVID-19," 2023, Scientific Reports
  • "Use of Machine Learning Techniques to Create a Credit Score Model for Airtime Loans," 2020, Journal of Risk and Financial Management
  • "Estimating urban GDP growth using nighttime lights and machine learning techniques in data poor environments: The case of South Sudan," 2024, Technological Forecasting and Social Change
  • "The economic cost of conflict: Evidence from South Sudan," 2021, Review of Development Economics

Frequent collaborators of Patrick E. McSharry include Innocent Ngaruye, Edouard Musabanganji, Fabrice Nkurunziza, Richard Kabanda, and Charles K. Mutai. These coauthors have partnered on multiple research projects, contributing to a steady output of cross-disciplinary studies.

The main research topics addressed in their work are:

  • COVID-19 epidemiological studies
  • COVID-19 Pandemic Impacts
  • HIV, Drug Use, Sexual Risk
  • Urban Transport and Accessibility
  • HIV/AIDS Research and Interventions
  • Vaccine Coverage and Hesitancy
  • Poverty, Education, and Child Welfare

Best Publications

  • A dynamical model for generating synthetic electrocardiogram signals

    P.E. McSharry;G.D. Clifford;L. Tarassenko;L.A. Smith

  • Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease

    M.A. Little;P.E. McSharry;E.J. Hunter;J. Spielman

  • Advanced Methods And Tools for ECG Data Analysis

    Gari D. Clifford;Francisco Azuaje;Patrick McSharry

  • Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

    Max A. Little;Patrick E. McSharry;Stephen J. Roberts;Declan A. E. Costello

  • Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests

    A. Tsanas;M.A. Little;P.E. McSharry;L.O. Ramig

  • Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease

    A. Tsanas;M. A. Little;P. E. McSharry;J. Spielman

  • Short-Term Load Forecasting Methods: An Evaluation Based on European Data

    J.W. Taylor;P.E. McSharry

  • A comparison of univariate methods for forecasting electricity demand up to a day ahead

    James W. Taylor;Lilian M. de Menezes;Patrick E. McSharry

  • Wind Power Density Forecasting Using Ensemble Predictions and Time Series Models

    J.W. Taylor;P.E. McSharry;R. Buizza

  • Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity

    Athanasios Tsanas;Max A. Little;Patrick E. McSharry;Lorraine O. Ramig

  • Prediction of epileptic seizures: are nonlinear methods relevant?

    Patrick E. McSharry;Leonard A. Smith;Leonard A. Smith;Lionel Tarassenko

  • 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

    Thanasis Tsanas;Max A. Little;Patrick E. McSharry;Lorraine O. Ramig

  • Mathematical and computational techniques to deduce complex biochemical reaction mechanisms.

    E.J. Crampin;S. Schnell;P.E. McSharry

  • Probabilistic forecasts of the magnitude and timing of peak electricity demand

    P.E. McSharry;S. Bouwman;G. Bloemhof

  • Accurate telemonitoring of Parkinson’s disease progression by non-invasive speech tests

    Athanasios Tsanas;Max A. Little;Patrick E. McSharry;Lorraine O. Ramig

  • Better nonlinear models from noisy data: attractors with maximum likelihood

    Patrick E. McSharry;Leonard A. Smith

  • Comparison of predictability of epileptic seizures by a linear and a nonlinear method

    P.E. McSharry;L.A. Smith;L. Tarassenko

  • Nonlinear, Biophysically-Informed Speech Pathology Detection

    M. Little;P. McSharry;I. Moroz;S. Roberts

  • Model-based filtering, compression and classification of the ECG

    GD Clifford;A Shoeb;PE McSharry;BA Janz

  • Reliability diagrams for non-parametric density forecasts of continuous variables: Accounting for serial correlation

    Pierre Pinson;Patrick McSharry;Henrik Madsen

  • Linear and non-linear methods for automatic seizure detection in scalp electro-encephalogram recordings

    Patrick E. McSharry;T. He;Leonard A. Smith;Leonard A. Smith;L. Tarassenko

Frequent Co-Authors

Max A. Little
Max A. Little University of Birmingham
Gari D. Clifford
Gari D. Clifford Emory University
Lionel Tarassenko
Lionel Tarassenko University of Oxford
Stephen J. Roberts
Stephen J. Roberts University of Oxford
John R. Geddes
John R. Geddes University of Oxford
Edmund J. Crampin
Edmund J. Crampin University of Melbourne
Guy M. Goodwin
Guy M. Goodwin University of Oxford
Chengyu Liu
Chengyu Liu Southeast University
Eric Hunter
Eric Hunter Emory University
Antonis Papachristodoulou
Antonis Papachristodoulou University of Oxford

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