Integrating Individual-Level Syndromic Surveillance Data Into Infectious Disease Modeling for COVID-19 Forecasting in Sweden: Comparative Modeling Study
- DOI
- 10.2196/104804
- Published
- 2026-10-29
- Container
- JMIR Public Health and Surveillance
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/104804,
title = {Integrating Individual-Level Syndromic Surveillance Data Into Infectious Disease Modeling for COVID-19 Forecasting in Sweden: Comparative Modeling Study},
author = {Shomaila Mazhar and Jonas Björk and Dominik Dietler},
year = {2026},
journal = {JMIR Public Health and Surveillance},
doi = {10.2196/104804},
url = {https://doi.org/10.2196/104804}
}RIS
TY - JOUR TI - Integrating Individual-Level Syndromic Surveillance Data Into Infectious Disease Modeling for COVID-19 Forecasting in Sweden: Comparative Modeling Study AU - Shomaila Mazhar AU - Jonas Björk AU - Dominik Dietler PY - 2026 JO - JMIR Public Health and Surveillance DO - 10.2196/104804 UR - https://doi.org/10.2196/104804 ER -
APA
Mazhar, S., Björk, J., & Dietler, D. (2026). Integrating Individual-Level Syndromic Surveillance Data Into Infectious Disease Modeling for COVID-19 Forecasting in Sweden: Comparative Modeling Study. JMIR Public Health and Surveillance. https://doi.org/10.2196/104804
Source records
- crossref · retrieved 2026-11-10T12:22:28.593Z