This paper is in the following e-collection/theme issue:

Longitudinal and Cohort Studies in Public Health (345) Secondary Use of Clinical Data for Research and Surveillance (410) Innovative Methods in Public Health and Surveillance (357) Statistical Methods for Surveillance and Population Health (170)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44647, first published .
Prediction of Multimorbidity in Brazil: Latest Fifth of a Century Population Study

Prediction of Multimorbidity in Brazil: Latest Fifth of a Century Population Study

Prediction of Multimorbidity in Brazil: Latest Fifth of a Century Population Study

Authors of this article:

Xi-liang Li1 Author Orcid Image ;   Hang Huang2 Author Orcid Image ;   Ying Lu3 Author Orcid Image ;   Randall S Stafford4 Author Orcid Image ;   Simone Maria Lima5 Author Orcid Image ;   Caroline Mota5 Author Orcid Image ;   Xin Shi1, 6, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Chlabicz M, Jamiołkowski J, Sowa P, Zalewska M, Kiszkiel Ł, Ciołkiewicz M, Motkowski R, Kowalska I, Minarowski Ł, Kamiński K. Multimorbidity Patterns in the Urban Population in Poland. Journal of Clinical Medicine 2023;12(18):5860 View
  2. Roca A, Anwar F, Khosla I, Medakkar S, Loya A, Sayari A, Lopez G, Singh K. Utility of preoperative comorbidity burden on PROMIS outcomes after lumbar decompression: Cohort matched analysis. Journal of Clinical Neuroscience 2024;121:23 View
  3. Wang Y, Hu X. The prevalence and evolution of binary multimorbidity pattern in middle-aged and elderly population in China, from an insight of health metrics. Data Science and Informetrics 2024;4(1):41 View
  4. John J, Stannard S, Fraser S, Berrington A, Alwan N, Thet Wai K. Clusters and associations of adverse neonatal events with adult risk of multimorbidity: A secondary analysis of birth cohort data. PLOS ONE 2025;20(3):e0319200 View