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SUMMARY:Mathematical modelling for the control of infectious diseases
DESCRIPTION:Directed by Dr Anne Cori and organised by Dr Pablo Perez Guz
 man and Dr Thom Rawson Department of Infectious Disease Epidemiology\, 
 Imperial College London\n \nIntroduction\nIn recent years our understandi
 ng of infectious-disease epidemiology and control has been greatly increas
 ed through mathematical modelling. Insights from this increasingly-importa
 nt\, exciting field are now informing policy-making at the highest levels\
 , and playing a growing role in research. The transmissible nature of infe
 ctious diseases makes them fundamentally different from non-infectious dis
 eases\, so techniques from ‘classical’ epidemiology are often invalid 
 and hence lead to incorrect conclusions – not least in health-economic a
 nalysis.\nMathematical modelling now plays a key role in policy making\, i
 ncluding health-economic aspects\; emergency planning and risk assessment\
 ; control-programme evaluation\; and monitoring of surveillance data. In r
 esearch\, it is essential in study design\, analysis (including parameter 
 estimation) and interpretation.\nWith infectious diseases frequently domin
 ating news headlines\, public health and pharmaceutical industry professio
 nals\, policy makers\, and infectious disease researchers\, increasingly n
 eed to understand the transmission patterns of infectious diseases\, to be
  able to interpret and critically-evaluate both epidemiological data\, and
  the findings of mathematical modelling studies. Recently there has been r
 apid progress in developing models and new techniques for measurement and 
 analysis\, which have been applied to outbreaks and emerging epidemics\, s
 uch as Influenza A (H1N1) and SARS. A simple but powerful new technique fo
 r assessing the potential of different methods to control an infectious-di
 sease outbreak was recently developed by course presenters.\nSince 1990\, 
 this course has “demystified” mathematical modelling and kept public-h
 ealth professionals\, policy makers\, and infectious disease researchers u
 p-to-date with what they need to know about this fast-moving field\, taugh
 t by individuals who are actively engaged in research and who advise leadi
 ng public health professionals\, policy-makers\, governments\, internation
 al organisations and pharmaceutical companies\, both nationally and intern
 ationally\, including on pandemic influenza\, SARS\, HIV\, foot-and-mouth 
 disease.\nThe Department of Infectious Disease Epidemiology\, Imperial Co
 llege London has been the world leader in mathematical modelling of the e
 pidemiology and control of infectious diseases of humans and animals in bo
 th industrialised and developing countries for 20 years. It hosts the MRC
  Centre for Global Infectious Disease Analysis\, the NIHR HPRU in Modellin
 g and Health Economics\, the Jameel Institute\, and the Vaccine Impact Mod
 elling Consortium\, among other initiatives. This multi-disciplinary depa
 rtment has publishes frequently in Nature\, Science\, Lancet\, PNAS\, AIDS
  and other leading journals. It has developed models of ebola\, Iinfluenza
  A (H1N1)\, avian influenza\, SARS\, HIV\, TB\, foot-and-mouth-disease\, v
 ector-borne diseases including malaria and flariasis\, helminth infections
 \, childhood vaccine-preventable infections\, sexually-transmitted infecti
 ons\, drug-resistant bacterial infections and others.
URL:https://www.imperial.ac.uk/events/190753/mathematical-modelling-for-the
 -control-of-infectious-diseases-4/
DTSTART;TZID=Europe/London:20250915T090000
DTEND;TZID=Europe/London:20250926T170000
LOCATION:MSc Room\, School of Public Health\, White City Campus\, London\, 
 W12 0BZ\, United Kingdom
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