Special Issue on Mathematical Modelling and Prediction in Infectious Disease
Epidemiology
Mathematical analysis and modelling is an important
part of infectious disease epidemiology. Application of mathematical models to
disease surveillance data can be used to address both scientific hypotheses and
disease-control policy questions. The goal of this special issue is to
provide a platform for scientists and academicians all over the world to
promote, share, and discuss various new issues and developments in this area of Mathematical Modelling and Prediction in Infectious Disease
Epidemiology.
In this special issue, we invite
front-line researchers and authors to submit original research and review
articles that explore Mathematical
Modelling and Prediction in Infectious Disease Epidemiology . In this special issue, potential
topics include, but are not limited to:
-
Infectious
disease epidemiology: theory and practice
-
Types
of epidemic models
-
Reproduction
number
-
Endemic
steady state
-
Compartmental
models in epidemiology
-
Infectious
disease dynamics
-
Mathematics
of mass vaccination
Authors should read
over the journal’s For Authors carefully before
submission. Prospective authors should submit an electronic copy of their
complete manuscript through the journal’s Paper Submission System.
Please kindly specify the “Special Issue”
under your manuscript title. The research field “Special Issue - Mathematical Modelling and
Prediction in Infectious Disease Epidemiology ” should be
selected during your submission.
Special Issue timetable:
Submission Deadline
|
June 10th, 2023
|
Publication Date
|
August 2023
|
Guest Editor:
For
further questions or inquiries
Please
contact Editorial Assistant at
ns@scirp.org