Health Informatics

  1. COVID-19 & Mental Health: Impact on Working people and Students

    1. Kshipra V. Moghe
    2. Disha Kotecha
    3. Manjusha Patil

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Data-driven testing program improves detection of COVID-19 cases and reduces community transmission

    1. Steven J. Krieg
    2. Carolina Avendano
    3. Evan Grantham-Brown
    4. Aaron Lilienfeld Asbun
    5. Jennifer J. Schnur
    6. Marie Lynn Miranda
    7. Nitesh V. Chawla

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. PASCLex: A comprehensive post-acute sequelae of COVID-19 (PASC) symptom lexicon derived from electronic health record clinical notes

    1. Liqin Wang
    2. Dinah Foer
    3. Erin MacPhaul
    4. Ying-Chih Lo
    5. David W. Bates
    6. Li Zhou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination

    1. Joshua A. Salomon
    2. Alex Reinhart
    3. Alyssa Bilinski
    4. Eu Jing Chua
    5. Wichada La Motte-Kerr
    6. Minttu M. Rönn
    7. Marissa B. Reitsma
    8. Katherine A. Morris
    9. Sarah LaRocca
    10. Tamer H. Farag
    11. Frauke Kreuter
    12. Roni Rosenfeld
    13. Ryan J. Tibshirani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in Tennessee

    1. Lukasz S Wylezinski
    2. Coleman R Harris
    3. Cody N Heiser
    4. Jamieson D Gray
    5. Charles F Spurlock

    Reviewed by PREreview, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  6. General practitioners’ perceptions of using virtual primary care during the COVID-19 pandemic: An international cross-sectional survey study

    1. Edmond Li
    2. Rosy Tsopra
    3. Geronimo Jimenez
    4. Alice Serafini
    5. Gustavo Gusso
    6. Heidrun Lingner
    7. Maria Jose Fernandez
    8. Greg Irving
    9. Davorina Petek
    10. Robert Hoffman
    11. Vanja Lazic
    12. Ensieh Memarian
    13. Tuomas Koskela
    14. Claire Collins
    15. Sandra Milena Espitia
    16. Ana Clavería
    17. Katarzyna Nessler
    18. Braden Gregory O’Neill
    19. Kyle Hoedebecke
    20. Mehmet Ungan
    21. Liliana Laranjo
    22. Saira Ghafur
    23. Gianluca Fontana
    24. Azeem Majeed
    25. Josip Car
    26. Ara Darzi
    27. Ana Luisa Neves

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis

    1. Qian Niu
    2. Junyu Liu
    3. Masaya Kato
    4. Yuki Shinohara
    5. Natsuki Matsumura
    6. Tomoki Aoyama
    7. Momoko Nagai-Tanima

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Forecasting admissions in psychiatric hospitals before and during Covid-19: a retrospective study with routine data

    1. J. Wolff
    2. A. Klimke
    3. M. Marschollek
    4. T. Kacprowski

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C)

    1. Jason A Thomas
    2. Randi E Foraker
    3. Noa Zamstein
    4. Jon D Morrow
    5. Philip R O Payne
    6. Adam B Wilcox
    7. the N3C Consortium
    8. Melissa A Haendel
    9. Christopher G Chute
    10. Kenneth R Gersing
    11. Anita Walden
    12. Melissa A Haendel
    13. Tellen D Bennett
    14. Christopher G Chute
    15. David A Eichmann
    16. Justin Guinney
    17. Warren A Kibbe
    18. Hongfang Liu
    19. Philip R O Payne
    20. Emily R Pfaff
    21. Peter N Robinson
    22. Joel H Saltz
    23. Heidi Spratt
    24. Justin Starren
    25. Christine Suver
    26. Adam B Wilcox
    27. Andrew E Williams
    28. Chunlei Wu
    29. Christopher G Chute
    30. Emily R Pfaff
    31. Davera Gabriel
    32. Stephanie S Hong
    33. Kristin Kostka
    34. Harold P Lehmann
    35. Richard A Moffitt
    36. Michele Morris
    37. Matvey B Palchuk
    38. Xiaohan Tanner Zhang
    39. Richard L Zhu
    40. Emily R Pfaff
    41. Benjamin Amor
    42. Mark M Bissell
    43. Marshall Clark
    44. Andrew T Girvin
    45. Stephanie S Hong
    46. Kristin Kostka
    47. Adam M Lee
    48. Robert T Miller
    49. Michele Morris
    50. Matvey B Palchuk
    51. Kellie M Walters
    52. Anita Walden
    53. Yooree Chae
    54. Connor Cook
    55. Alexandra Dest
    56. Racquel R Dietz
    57. Thomas Dillon
    58. Patricia A Francis
    59. Rafael Fuentes
    60. Alexis Graves
    61. Julie A McMurry
    62. Andrew J Neumann
    63. Shawn T O'Neil
    64. Usman Sheikh
    65. Andréa M Volz
    66. Elizabeth Zampino
    67. Christopher P Austin
    68. Kenneth R Gersing
    69. Samuel Bozzette
    70. Mariam Deacy
    71. Nicole Garbarini
    72. Michael G Kurilla
    73. Sam G Michael
    74. Joni L Rutter
    75. Meredith Temple-O'Connor
    76. Benjamin Amor
    77. Mark M Bissell
    78. Katie Rebecca Bradwell
    79. Andrew T Girvin
    80. Amin Manna
    81. Nabeel Qureshi
    82. Mary Morrison Saltz
    83. Christine Suver
    84. Christopher G Chute
    85. Melissa A Haendel
    86. Julie A McMurry
    87. Andréa M Volz
    88. Anita Walden
    89. Carolyn Bramante
    90. Jeremy Richard Harper
    91. Wenndy Hernandez
    92. Farrukh M Koraishy
    93. Federico Mariona
    94. Saidulu Mattapally
    95. Amit Saha
    96. Satyanarayana Vedula
    97. Yujuan Fu
    98. Nisha Mathews
    99. Ofer Mendelevitch

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. COVID-19 and Black Fungus: Analysis of the Public Perceptions through Machine Learning

    1. Muhammad Nazrul Islam
    2. Nafiz Imtiaz Khan
    3. Tahasin Mahmud

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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