Infectious Disease Modelling

Published by KeAi Communications Co., Ltd.

Open access · CC BY-NC-ND · In DOAJ · People's Republic of China · COVID-19 epidemiological studies

Journal at a glance

ISSN

24680427

Publisher

KeAi Communications Co., Ltd.

Country

People's Republic of China

Language

en

License

CC BY-NC-ND

Also known as: Infect Dis Model (Abbreviation)

Indexing

• Scopus: Indexed
• DOAJ: Active
• Pubmed: Active

Metrics

Subjects

• COVID-19 epidemiological studies
• Mathematical and Theoretical Epidemiology and Ecology Models
• SARS-CoV-2 and COVID-19 Research
• Influenza Virus Research Studies
• Data-Driven Disease Surveillance
• COVID-19 Pandemic Impacts
• Viral Infections and Outbreaks Research
• Medicine: Internal medicine: Infectious and parasitic diseases
• Infectious and parasitic diseases
• Internal medicine

Articles on PubPorta

The most recent records PubPorta holds for this journal.

• Stage-aware deep learning with adversarial data synthesis enables prospective season-scale A/H1N1 influenza forecasting in China (2026)
• Structural transition in antimicrobial resistance dynamics of Corynebacterium striatum (2026)
• Efficacy versus coverage: population-level impacts of vaccination schemes (2026)
• Optimal timing for staged vaccination campaigns: Insights from scenario tree-based stochastic optimization (2026)
• From giant components to communities: community-level insights for prioritizing interventions within large clusters of HIV-1 transmission networks (2026)

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Sources: DOAJ, OpenAlex, NLM Catalog, Crossref, Scopus · Last verified 2026-09-05

Journal homepage · Author guidelines