BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 15.4//EN BEGIN:VEVENT DESCRIPTION:Course type: Short CourseDate: 15 June - 26 June 2026Location: Face-to-Face/OnlineOverviewInfectious diseases remain a leading cause of m orbidity and mortality worldwide\, with HIV\, tuberculosis and malaria est imated to cause 10% of all deaths each year. New pathogens continue to eme rge\, as demonstrated by the SARS epidemic in 2003\, the swine flu pandemi c in 2009\, MERS CoV in 2013\, Zika in 2016 and\, recently SARS-CoV-2.This two-week course\, now running for its 26th year\, is organised jointly be tween the London School of Hygiene &\; Tropical Medicine and the \; UK Health Security Agency \;(formerly\, Public Health England). It is intended to introduce professionals working on infectious diseases in eith er developing or developed countries to this exciting and expanding area. The emphasis will be on developing a conceptual understanding of the basic methods and on their practical application\, rather than the manipulation of mathematical equations. The methods will be illustrated by "hands-on" experience of setting up models in spreadsheets as well as other specialis t modelling packages\, small group work\, and seminars in which the applic ations of modelling will be discussed.By the end of the course\, participa nts will have deepened their current understanding of infectious disease e pidemiology and have gained an understanding and practical experience of t he basics of infectious disease modelling\, which will be useful in their future work.Who is this course for?The course is designed for individuals interested in expanding their knowledge of the techniques available for an alysing and interpreting epidemiological data on infectious diseases and f or predicting the impact of control programmes\, including medical and hea lth professionals\, policymakers\, veterinary scientists\, medical statist icians and infectious disease researchers. Specialist mathematical trainin g is not a prerequisite. However\, individuals with degrees in mathematica l disciplines working on some aspect of infectious disease dynamics and/ o r control\, who wish to learn about the potential of infectious disease mo delling will also benefit. Some familiarity with spreadsheet packages (ide ally Excel) is desirable. Applicants should have a good command of English . Participants are expected to bring their own laptop (please contact the course organisers before the start of the course if this won&rsquo\;t be p ossible). \; \;Course OutlineThe course makes use of Excel\, and a specialist modelling package (Berkeley Madonna). The topics to be covered include:Key concepts in infectious disease epidemiology\;The basic method s for setting up (deterministic and stochastic) infectious disease models\ ;Practical applications of modelling\, including predicting the impact of control strategies against infections\, and describing the course of outbr eaks\;Analyses of serological data: methods for estimating age and time-de pendent transmission rates and their application for developing models of the dynamics of infections\;Modelling in real-time\;How to read and interp ret modelling papers\;Models for describing STI transmission and control\; Models of the dynamics and control of \;tuberculosis\;Fitting models t o data\, network models\, sensitivity analyses and introductory health eco nomics.Guest lectures from researchers working on mathematical modelling.T he material from this popular and successful course is complemented by the published book \;&ldquo\;An Introduction to Infectious Disease Modell ing&rdquo\; \;which was written by two of the course organizers (Emili a Vynnycky \;and \;Richard White).How to ApplyFor more information and how to register\, please \;click here!Application deadline: 18 Ma y 2026 DTEND;VALUE=DATE:20260727 DTSTAMP:20260507T121014Z DTSTART;VALUE=DATE:20260615 LOCATION: SEQUENCE:0 SUMMARY:Introduction to Infectious Disease Modelling and its Applications UID:RFCALITEM639137526140396481 X-ALT-DESC;FMTTYPE=text/html:

Course type: Short Cou rse
Date: 15 June - 26 June 2026
Locati on: Face-to-Face/Online

Overview

Infectious disease s remain a leading cause of morbidity and mortality worldwide\, with HIV\, tuberculosis and malaria estimated to cause 10% of all deaths each year. New pathogens continue to emerge\, as demonstrated by the SARS epidemic in 2003\, the swine flu pandemic in 2009\, MERS CoV in 2013\, Zika in 2016 a nd\, recently SARS-CoV-2.

This two-week course\, now running for its 26th year\, is organised jointly between the London School of Hygiene &am p\; Tropical Medicine and the \;UK Health Security Agency&nb sp\;(formerly\, Public Health England). It is intended to introduce profes sionals working on infectious diseases in either developing or developed c ountries to this exciting and expanding area. The emphasis will be on deve loping a conceptual understanding of the basic methods and on their practi cal application\, rather than the manipulation of mathematical equations. The methods will be illustrated by "hands-on" experience of setting up mod els in spreadsheets as well as other specialist modelling packages\, small group work\, and seminars in which the applications of modelling will be discussed.

By the end of the course\, participants will have deepene d their current understanding of infectious disease epidemiology and have gained an understanding and practical experience of the basics of infectio us disease modelling\, which will be useful in their future work.

W ho is this course for?

The course is designed for individuals interest ed in expanding their knowledge of the techniques available for analysing and interpreting epidemiological data on infectious diseases and for predi cting the impact of control programmes\, including medical and health prof essionals\, policymakers\, veterinary scientists\, medical statisticians a nd infectious disease researchers. Specialist mathematical training is not a prerequisite. However\, individuals with degrees in mathematical discip lines working on some aspect of infectious disease dynamics and/ or contro l\, who wish to learn about the potential of infectious disease modelling will also benefit. Some familiarity with spreadsheet packages (ideally Exc el) is desirable. Applicants should have a good command of English. Partic ipants are expected to bring their own laptop (please contact the course o rganisers before the start of the course if this won&rsquo\;t be possible) . \;

 \;

Course Outline

The course makes use of Ex cel\, and a specialist modelling package (Berkeley Madonna). The topics to be covered include:

The material from this popular a nd successful course is complemented by the published book \;&ldqu o\;An Introduction to Infectious Disease Modelling&rdquo\; \;whic h was written by two of the course organizers (Emilia Vynny cky \;and \;Richard White).

How to Apply

For more information and how to register\, please  \;click here!

Application deadline: 18 May 2026

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