PPT-Geographic hotspots of high population HIV viremia and association with HIV incidence

Kenya James Peng 1 Jane Kabami 2 James Ayieko 3 Florence Mwangwa 2 Mucunguzi Atukunda 2 Edwin Charlebois 1 Gabriel Chamie 1 Dalsone Kwarisiima 2 Laura Balzer. Tom Walker and Matt Newman. Prevelance. Prevalence. . – proportion/percentage of current sufferers. . (Point). prevalence . - in winter, 4.4% of population has common cold at any given time.. Period. Lyle R. Petersen, MD, MPH. Brad Biggerstaff, PhD. Division of Vector-Borne Diseases. Centers for Disease Control and Prevention. Blood Products Advisory Committee Meeting. December 14, 2010. Agenda. Arbovirus risk model. Manjiri Joshi, MPH. +. Alison Keyser . Metobo. , MPH. . +. . +. Epidemiology Surveillance Response Coordinator . Overview. Background . Nursing home increased risk for infection . Health . outcomes in nursing home residents. B. . Tchakounte. Youngui. 1. , . P. Coffie. 2. , E. Messou. 3. , A. Poda. 4. , L. Fortes Déguénonvo. 5. , D. Hawerlander. 6. , A. Minga. 7. , E. Balestre. 8. , F. Dabis. 9. , O. Marcy. 9. (1) ISPED, . . . HIRI Spring Conference. . April 10, 2014. In the CPG world, research is a little easier. Finding out about consumers’ preferences towards Cereal is not difficult from a research standpoint. 1. 04. How to use My Community . 03. Introduction to the Population Health Assessment Engine . 05. 02. Introduction to . Geospatial Concepts. 01. Introduction to. Population Health. Population Health Assessment Engine Curriculum. Laboratory for Underground Nuclear Astrophysics. Reunion . prospective: . Univers. et . Rayons. . Cosmiques. . Why studying nuclear fusion reaction cross sections?. . - . Stars. are powered by . 2005-2016. Emma . Slaymaker. , Jim Todd, Mark . Urassa. , Kobus . Herbst. , . Nuala. McGrath, Rob Newton, . Dorean. . Nabukalu. , Tom . Lutalo. , Amelia . Crampin. , Simon Gregson, Keith Tomlin, Kathryn . Health. . Sciences. (. Epidemiology. . + . Statistics. ). Önder . Ergönül. , MD, MPH. Professor. of . Infectious. . Diseases. . and. . Clinical. . Microbiology. Koç . University. , School of . Mary A. Fox, PhD, MPH. Johns Hopkins Bloomberg School of Public Health. Risk Sciences and Public Policy Institute. mfox9@jhu.edu. / 443-287-0778. The author declares that there is no conflict . of interest. Amara E. Ezeamama, PhD. 1. ;. Irving Vega, PhD. 1. ; Alla Sikorskii, PhD. 1. ; Sarah K. Zalwango, MD, MPH. 2,3. ;. . Michael J. Boivin, PhD, MS. 1. , Leah H. Rubin, PhD. 4. ; Bruno Giordani, PhD. INTRODUCTION:. . Italy is a high-risk area for multiple sclerosis with 109,000 prevalent cases estimated at January 2015 [1] and 3,400 annual incident cases [2]. Regarding incidence, latest published papers report 5.5 cases per 100,000 in Padua for the period 2000-2009 [3], 6.7 cases in Genoa for the period 1998-2007 [4] and 9.7 cases per 100,000 in Sardinia for the period 2003-2007 [5]. To monitor disease epidemiology, comorbidities and care pathways, but also to describe the disease burden and to plan its prevention, treatment and management strategies and resource allocation, population-based studies are preferable [6,7]. For these reasons, a national population registry has been founded in 2015 and it will represent, in the next future, a valid tool to study MS epidemiology. Another way to obtain data on entire population is from administrative sources. In a previous study, in the Tuscany region, we created and validated a case-finding algorithm, based on administrative data, to identify MS patients and to calculate the prevalence as at 2011 [8]. The algorithm had a sensitivity of 98% and a specificity of 99.99%. We identified 6,890 prevalent cases as at 31/12/2011, with a resulting rate of 187.9 cases per 100,000, 248.3 per 100,000 in females and 122.3 per 100,000 in males [8]. Also in other Italian Regions, administrative data have been used to calculate MS prevalence, as in Lazio with 131 cases per 100,000 as at 2011 [9], in Apulia with 183 cases as at 2012, in Veneto with 170-180 cases as at 2015, in Sicily with 110 cases as at 2010 and Sardinia with 360 cases as at 2016 [2]. In this study, our aim is to estimate the incidence of multiple sclerosis in Tuscany using a case-finding algorithm based on administrative data, from 2011 to 2015.. Brown EM, McTaggart LR, Dunn D, Pszczolko E, Tsui K, Morris SK, et al. Epidemiology and Geographic Distribution of Blastomycosis, Histoplasmosis, and Coccidioidomycosis, Ontario, Canada, 1990–2015. Emerg Infect Dis. 2018;24(7):1257-1266. https://doi.org/10.3201/eid2407.172063. 2012 Preliminary Case Counts. Shelley Lucas, MPH. Infectious Disease Data and Prevention Group, Manager. Preliminary counts – 2012 disease data will not be finalized until June, 2013. Data obtained from NBS, ArboNet, and Houston and Harris County line lists.