SCIESCOPUSQ2
Infectious Disease Modelling
KEAI PUBLISHING LTD, China
Infectious Disease Modelling is an academic journal published by KEAI PUBLISHING LTD (China). Identifiers: ISSN 2468-2152, eISSN 2468-0427. Indexed in SCIE, SCOPUS. Metrics: JIF 2.5, CiteScore 7.7, SJR 0.724, SNIP 0.97. Subject areas: MATHEMATICAL & COMPUTATIONAL BIOLOGY. tlooto lists 834 papers from this journal.
CiteScore
7.70
Scopus citation metric
SJR
0.724
SCImago rank
SNIP
0.97
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2468-2152
- eISSN
- 2468-0427
- Abbreviation
- INFECT DIS MODEL
- Publisher
- KEAI PUBLISHING LTD
- Country
- China
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
2604 Applied Mathematics2719 Health Policy2725 Infectious Diseases
Papers in this journal
Recent papers
- From giant components to communities: community-level insights for prioritizing interventions within large clusters of HIV-1 transmission networks
2027
- Efficacy versus coverage: population-level impacts of vaccination schemes
2027
- Stage-aware deep learning with adversarial data synthesis enables prospective season-scale A/H1N1 influenza forecasting in China
2027
- Structural transition in antimicrobial resistance dynamics of Corynebacterium striatum
2027
- Stochastic threshold dynamics of an HIV model with latent cell activation under mean-reverting environmental noise
2027
Most cited papers
- To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic
2020 · 1,239 citations
- An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov)
2020 · 735 citations
- Reproduction numbers of infectious disease models
2017 · 700 citations
- Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020
2020 · 648 citations
- Why is it difficult to accurately predict the COVID-19 epidemic?
2020 · 594 citations