Infectious Disease Modelling

SJR Rank #8,302H-index: 43SJR: 0.696Best quartile: Q2Open AccessAPC: US$1,100Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

KeAi Communications Co.

Country

China

Type

journal

SJR by Edition

2022202500.350.71.051.4

Subject Categories

  • Applied MathematicsQ2
  • Health PolicyQ2
  • Infectious DiseasesQ2

Areas: Mathematics · Medicine

Most published research topics

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology ModelsSARS-CoV-2 and COVID-19 ResearchInfluenza Virus Research StudiesData-Driven Disease SurveillanceCOVID-19 Pandemic ImpactsViral Infections and Outbreaks ResearchMosquito-borne diseases and controlEvolution and Genetic DynamicsZoonotic diseases and public health

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs065130195260

Documents per Year

202220250306090120

Detailed Information

ISSN

2468-2152, 2468-0427

SJR Best Quartile

Q2

Region

Asiatic Region

Citations per Document (2 years)

3.20

References per Document

45.01

Coverage

2016-2026

Scope

Infectious Disease Modelling is a peer-reviewed open access journal aiming to promote research working to interface mathematical modelling, infection disease data retrieval and analysis, and public health decision support. The journal welcomes original research contributing to the enhancement of this interface, and review articles of cutting edge methodologies motivated by and applicable to data collection and informatics for public health decision making and policy. Published papers must contain substantial novelty which could include: - Developing new frameworks, models and methodologies including comparisons with existing models, theories and methods to indicate demonstrable advantages; - Applications of exiting models and methodologies to new infectious diseases and/or public health issues; - Integrative use of methodologies and interdisciplinary approaches to evaluate intervention programs and to inform surveillance design; -Developing linkages between data, modelling, analytics and policy.

Metrics from SCImago Journal Rank 2025. View on SCImago