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SUMMARY:Design and Analysis of Prevalence Surveys for Neglected Tropical D
 iseases
DTSTART:20210604T161500
DTEND:20210604T173000
DTSTAMP:20260928T172547Z
UID:4f98fd9032112f5886cd8464c13a286dfb1ae7897e5c672b8196a9f4
CATEGORIES:Conferences - Seminars
DESCRIPTION:Peter Diggle\, Lancaster University\nJoint work with Benjamin 
 Amoah\, Claudio Fronterre\, Emanuele Giorgi\, Olatunji Johnson\n\nIn low-r
 esource settings\, where disease registries do not exist\, prevalence mapp
 ing relies on data collected form surveys of disease prevalence taken in a
  sample of the communities at risk within the region of interest\, possibl
 y supplemented by remotely sensed images that can act as proxies for envir
 onmental risk factors. A standard geostatistical model for data of this ki
 nd is a generalized linear mixed model\,\n\nYi ~ Binomial(mi\; P(xi))  
        log [P(x)/{(1- P(xi)}] =  d(x)β + S(x)\,\n\nwhere Yi is the
  number of positives in a sample of mi individuals at location xi\, d(x) i
 s a vector of spatially referenced explanatory variables available at any 
 location x within the region of interest\, and S(x) is a Gaussian process.
  In this talk\, I will first review statistical methods and software assoc
 iated with this standard model\, then consider several methodological exte
 nsions and their applications to some Africa-wide control programmes for N
 eglected Tropical Diseases to demonstrate the very substantial gains in ef
 ficiency that can be obtained by comparison with currently used methods.\n
 \nDiggle\, P.J. and Giorgi\, E. (2019). Model-based Geostatistics: Methods
  and Applications in Global Public Health. Boca Raton: CRC Press\n\nFronte
 rre\, C.\, Amoah\, B.\, Giorgi\, E.\, Stanton\, M.C. and Diggle\, P.J. (20
 20). Design and analysis of elimination surveys for neglected tropical dis
 eases. Journal of Infectious Diseases DOI: 10.1093/infdis/jiz554\n\nDiggle
 \, P.J.\, Amoah\, B.\, Fronterre\, C.\, Giorgi\, E. and Johnson\, O. (2021
 ). Rethinking NTD prevalence survey design and analysis: a geospatial para
 digm. Transactions of the of the Royal Society of Tropical Medicine and Hy
 giene\, 115\, 208-210. doi:10.1093/trstmh/trab020\n\n 
LOCATION:https://epfl.zoom.us/j/85141088149
STATUS:CONFIRMED
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