Published on in Vol 8, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36211, first published .
Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis

Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis

Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis

Journals

  1. Shau W, Setia S, Shinde S, Santoso H, Furtner D. Contemporary Databases in Real-world Studies Regarding the Diverse Health Care Systems of India, Thailand, and Taiwan: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(12):e43741 View
  2. Shau W, Setia S, Chen Y, Ho T, Prakash Shinde S, Santoso H, Furtner D. Integrated Real-World Study Databases in 3 Diverse Asian Health Care Systems in Taiwan, India, and Thailand: Scoping Review. Journal of Medical Internet Research 2023;25:e49593 View
  3. Crawley A, Mercy K, Shivji S, Lofgren H, Trowbridge D, Manthey C, Tebeje Y, Clara A, Landry K, Salyer S. An indicator framework for the monitoring and evaluation of event-based surveillance systems. The Lancet Global Health 2024;12(4):e707 View
  4. Sallam M, Jabbar R, Mahadoon L, Elshareif T, Darweesh M, Ahmed H, Mohamed D, Corpuz A, Sadek M, Habibi M, Abougazia F, Shami R, Mahmoud M, Heikal S, Aqel S, Himatt S, Al-Shamali M, Al-Romaihi H. Enhanced event-based surveillance: Epidemic Intelligence from Open Sources (EIOS) during FIFA World Cup 2022 Qatar. Journal of Infection and Public Health 2024;17(9):102514 View
  5. Elston J, Eteng W, Ihekweazu C, Oliver I, Aniaku E, Abubakar A, Lee C, Benyeogor E, Roddick I, Logan S, Okereke E, Inamdar L, Aruna O, Luka-Lawal R, Manthey C, Hinkle L, Nunez G, Agogo E, Usman R, Sunday E, Hassan M, Oladejo J, Adetifa I. Development and Implementation of a Public Health Event Management System, Nigeria, 2018–2024. Emerging Infectious Diseases 2025;31(1) View
  6. McKnight C, Aboushady A, Lane C. Beyond early warning: towards greater granularity in the use of event-based surveillance for public health emergencies. BMC Public Health 2024;24(1) View
  7. Cerqueira-Silva T, Oliveira J, Oliveira V, Florentino P, Sironi A, Penna G, Ramos P, Boaventura V, Barral-Netto M, Marcilio I. Early warning system using primary health care data in the post-COVID-19 pandemic era: Brazil nationwide case-study. Cadernos de Saúde Pública 2024;40(11) View
  8. Bacon S, Lavoie K, Buckeridge D, Dietz W, Freedland K, Grimshaw J, Jaworski B, Laur C, Marques M, Michie S, Powell L, Rothman A, Whitmarsh L. Behavioral interventions—past, present, and future: Proceedings of the 5th International Behavioural Trials Network International Hybrid Meeting. Annals of Behavioral Medicine 2025;59(1) View
  9. Jang Y, Lee H, Park H. Surveillance System for Infectious Disease Prevention and Management: Direction of Korea’s Infectious Disease Surveillance System. Journal of Korean Medical Science 2025;40(8) View
  10. Méndez Lizárraga C, Armas-González R, Loyola S, Bruno A, Pando-Robles V, Fernández-Niño J, Muñoz R, Coloma J, Lescano A, Bravo-García E, García P, Garza J, Pardo E, Welty S, Madriz S, Reid M, Sepúlveda J. Pandemic preparedness and response priorities in Latin America: A regional Delphi consensus. Public Health 2025;244:105602 View
  11. Kamarul Aryffin H, Bin Sahbudin M, Ali Pitchay S, Abhalim A, Sahbudin I. Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review. PeerJ Computer Science 2025;11:e2874 View
  12. Wu K, Lu Y. Spatiotemporal trends in severe complicated influenza among the local population in Taiwan region, 2003-2023. Epidemiology and Health 2025:e2025016 View