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

Surveillance Systems (514) Digital Health Reviews (1724) Clinical Information and Decision Making (1915) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Infectious Diseases (non-STD/STI) (1726) Decision Support for Health Professionals (1539) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (161) Harm Reduction Approaches (39) Influenza and Influenza-Like-Illness (ILI) Surveillance (237)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62641, first published .
Early Warning Systems for Acute Respiratory Infections: Scoping Review of Global Evidence

Early Warning Systems for Acute Respiratory Infections: Scoping Review of Global Evidence

Early Warning Systems for Acute Respiratory Infections: Scoping Review of Global Evidence

Authors of this article:

Atushi Patel1 Author Orcid Image ;   Kevin Maruthananth1 Author Orcid Image ;   Neha Matharu1 Author Orcid Image ;   Andrew D Pinto1, 2, 3, 4 Author Orcid Image ;   Banafshe Hosseini1, 3, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Patel A, Maruthananth K, Matharu N, Pinto A, Hosseini B. Early Warning Systems for Acute Respiratory Infections: Scoping Review of Global Evidence. JMIR Public Health and Surveillance 2024;10:e62641 View
  2. Gazmuri R, Bieber R, Lim C, Apigo M, Martin M. A single early warning signs (SEWS) system for recognizing clinical deterioration outperforms the national early warning score (NEWS) by having a lower activation threshold, broader clinical scope, and faster response time. Resuscitation Plus 2025;23:100947 View
  3. Cui J, Zhang T, Shen Y, Wang X, Yang L, Huang X, Huang Q, Yang Y, Yang W, Li Z. Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study. JMIR Medical Informatics 2025;13:e73631 View
  4. Kim Y, Kim Y, Kim J, Choi M. Nursing surveillance for clinical deterioration among intensive care unit patients: A scoping review. Intensive and Critical Care Nursing 2026;92:104218 View
  5. Pham C, Nguyen H, Le H, Tran N, Do K, Bui V, Phung H, Phung D, Chu C. Challenges and Strategies for the Development and Implementation of Climate‐Informed Early Warning Systems for Vector‐Borne Diseases: A Systematic Review. Tropical Medicine & International Health 2025 View