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 M3//EN
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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20241112T153043Z
DTSTART:20241113T130000Z
DTEND:20241113T140000Z
SUMMARY:Kylie Ainslie -- On the epidemiological characteristics of scabie
 s [ONLINE]
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}c15q-m3em06
 aq-zfhg6z
DESCRIPTION:Join us for this seminar by Dr Kylie Ainslie (RIVM\, Netherla
 nds) as part of the North West Seminar Series in Mathematical Biology an
 d Data Science. More details about the joint series can be found here ht
 tps://northwestseminars.great-site.net/ . \n\nThe talk will be hosted by
  the University of Liverpool and available to watch via zoom. Please con
 tact carl.whitfield@manchester.ac.uk or mdomijan@liverpool.ac.uk for the
  link\, or sign up to the mailing list.\n\nTitle: On the epidemiological
  characteristics of scabies \n\nAbstract:  Scabies is a contagious skin 
 disease caused by the infestation of the skin by the Sarcopes scabiei mi
 te\, resulting in an itchy rash. Scabies affects over 400 million people
  worldwide each year. A rise in scabies cases has been observed in recen
 t years throughout Western Europe. Despite the high prevalence of scabie
 s in parts of the world and increasing scabies cases across Europe\, som
 e key epidemiological characteristics describing the spread of scabies i
 nfections have not been described\, such as the serial interval – the ti
 me between symptom onset in an infector and symptom onset in an infectee
  – and the reproduction number –  the average number of people an infect
 ed person will go on to infect.\n\nAccurate estimates of the epidemiolog
 ical characteristics describing the spread of scabies are essential for 
 designing effective control strategies to curb disease transmission. In 
 this talk\, I will present work on estimating these key epidemiological 
 characteristics of scabies using various mathematical methods and data s
 ources. Finally\, I will discuss the policy implications of these findin
 gs and how they can inform the design of strategies to prevent future ou
 tbreaks.\n\nTo subscribe to the mailing list for this event series\, ple
 ase send an e-mail with the phrase “subscribe math-lifesci-seminar” in t
 he message body to listserv@listserv.manchester.ac.uk
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Online
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