Rubén Solano 1, 2, D. Gómez-Barroso 4,2, F. Simón 2, 4, S. Lafuente 3, J. Caylà 3 1 Field Epidemiology Training Program (PEAC-Spain). 2 National Centre.

Slides:

Advertisements

Similar presentations

Infectious Disease Epidemiology EPIET Introductory Course, 2006 Lazareto, Menorca Prepared by: Mike Catchpole, Johan Giesecke, John Edmunds, Bernadette.

Advertisements

Using longitudinal, population-based HIV surveillance to measure the real-world impacts of ART scale-up in KwaZulu- Natal, South Africa Frank Tanser Presentation.

1.We investigate an outbreak to put in place a surveillance system (Yes / no) 2.One of the objectives to investigate an outbreak is to identify the population.

How can Modeling Help in Emerging Epidemics? John Grefenstette, PhD Public Health Dynamics Lab Health Policy & Management Pitt Public Health Dec 5, 2014.

ENVIRONMENTAL EPIDEMIOLOGY OF PSYCHOSES: Lessons from Nottingham Jouko Miettunen Department of Public Health and Primary Care Institute of Public Health.

Hepatitis A and Hepatitis A Vaccine Epidemiology and Prevention of Vaccine- Preventable Diseases National Immunization Program Centers for Disease Control.

Early Detection of Disease Outbreaks Prospective Surveillance.

Role of the laboratory in disease surveillance

Empirical/Asymptotic P-values for Monte Carlo-Based Hypothesis Testing: an Application to Cluster Detection Using the Scan Statistic Allyson Abrams, Martin.

Presentation Topic : Modeling Human Vaccinating Behaviors On a Disease Diffusion Network PhD Student : Shang XIA Supervisor : Prof. Jiming LIU Department.

Jun, 2002 MTBI Cornell University TB Cluster Models, Time Scales and Relations to HIV Carlos Castillo-Chavez Department of Biological Statistics and Computational.

Spatial Statistics for Cancer Surveillance Martin Kulldorff Harvard Medical School and Harvard Pilgrim Health Care.

Infectious Disease Epidemiology Sharyn Orton, Ph.D. American Red Cross, Rockville, MD Suggested reading: Modern Infectious Disease Epidemiology (1994)

Using ArcGIS/SaTScan to detect higher than expected breast cancer incidence Jim Files, BS Appathurai Balamurugan, MD, MPH.

Influenza Surveillance at IRID Immunization and Respiratory Infections Division Centre for Infectious Disease Prevention & Control Public Health Agency.

The Spatial Scan Statistic. Null Hypothesis The risk of disease is the same in all parts of the map.

Modelling of malaria variations using time series methods Ali-Akbar Haghdoost MD, Ph.D. in epidemiology and biostatistics faculty of Medicine, and Physiology.

SPONSOR JAMES C. BENNEYAN DEVELOPMENT OF A PRESCRIPTION DRUG SURVEILLANCE SYSTEM TEAM MEMBERS Jeffrey Mason Dan Mitus Jenna Eickhoff Benjamin Harris.

Infectious disease, heterogeneous populations and public healthcare: the role of simple models SIAM CSE 2009 K.A. Jane White Centre for Mathematical Biology.

Health Consultation: Evaluation of Cancer Incidence in Census Tracts of Attleboro and Norton, Massachusetts: Suzanne K. Condon Associate Commissioner.

Association between area- level poverty and HIV diagnoses, and differences by sex, New York City Ellen Wiewel, HIV Epidemiology & Field Services.

Effect of Vaccination to Control Japanese Encephalitis in Nepal: a review Dr. Ganesh Raj Pant Faculty of Animal Science, Veterinary Science and Fisheries,

Spatial patterns on the edge of stability: measles in the Sahel.

Stanislaus County It’s Not Flu as Usual It’s Not Flu as Usual Pandemic Influenza Preparedness Renee Cartier Emergency Preparedness Manager Health Services.

EG3246 Spatial Science & Health Introduction to Basic Epidemiology Dr Mark Cresswell.

Raymond Martin Lecture 7 – Sampling Data are collected to represent a population or study area. –A census is complete enumeration.

Pertussis Update Linda Bethel, RN, MPH Epidemiology and Immunization Services Branch.

For more information, visit : or contact: Summary PROMOVAX is a 3-year EU-funded project.

Public Health in Tropics :Further understanding in infectious disease epidemiology Taro Yamamoto Department of International Health Institute of Tropical.

Pertussis and Adolescents: It’s Time for a Boost A Slide Kit for School Nurses.

Decreasing Incidence of Pertussis in Massachusetts Following the Introduction of Tdap Noelle Cocoros, Nancy Harrington, Rosa Hernandez, Jennifer Myers,

Health Datasets in Spatial Analyses: The General Overview Lukáš MAREK Department of Geoinformatics, Faculty.

Ecdc.europa.eu Tommi Asikainen, Tubingen, 22 October 2008 European Centre for Disease Prevention and Control FUTURE DISEASE CHALLENGES IN EUROPE – where.

Modelling infectious diseases Jean-François Boivin 25 October

Epidemiology Applications Fran C. Wheeler, Ph.D School of Public Health University of South Carolina Columbia, SC (803)

Epidemiology With Respect to the Dynamics of Infectious Diseases Huaizhi Chen.

Factors related to early treatment for malaria in the Brazilian Amazon: a multivariable approach using a ten-year population-based malaria surveillance.

Showcase /06/2005 Towards Computational Epidemiology Using Stochastic Cellular Automata in Modeling Spread of Diseases Sangeeta Venkatachalam, Armin.

The Vermont Department of Health Overview of Pandemic Influenza Regional Pandemic Planning Summits 2006 Guidance Support Prevention Protection.

Communicable Disease Surveillance and Response, WHO Avian Influenza Credit: WHO Viet Nam.

Thomas Clark, MD, MPH Centers for Disease Control and Prevention Immunization Program Managers Meeting November 16, 2010 Pertussis Epidemiology in the.

Stefan Ma1, Marc Lipsitch2 1Epidemiology & Disease Control Division

Dynamic Random Graph Modelling and Applications in the UK 2001 Foot-and-Mouth Epidemic Christopher G. Small Joint work with Yasaman Hosseinkashi, Shoja.

Unit 2 – Public Health Epidemiology Chapter 4 – Epidemiology: The Basic Science of Public Health.

Materials and Methods GIS Development A GIS was constructed from historical records of known villages reporting human anthrax between the years 1937 and.

Epidemiology. Epidemiological studies involve: –determining etiology of infectious disease –reservoirs of disease –disease transmission –identifying patterns.

Epidemiology. Epidemiology involves: –determining etiology of infectious disease –reservoirs of disease –disease transmission –identifying patterns associated.

What Is H1N1 (Swine Flu) Pandemic Influenza? Colorized image of H1N1 from a transmission electron micrograph. Source: CDC.

Country report for “Peste des Petits Ruminants(PPR).” Dr. Yousef S N S SH Al Azemi Head, Epidemiology & Zoonosis, Animal Health Department Public Authority.

Is for Epi Epidemiology basics for non-epidemiologists.

1 Copyright © 2012 by Mosby, an imprint of Elsevier Inc. Copyright © 2008 by Mosby, Inc., an affiliate of Elsevier Inc. Chapter 24 Public Health Surveillance.

Measles Outbreak in Skopje, Republic of Macedonia, 2014 Erjona Shakjiri 1, D. Kochinski 1, Sh. Memeti 1, B. Aleksoski 1, K. Stavridis 1, V. Mikic 1, G.

KARAGANDA STATE MEDICAL UNIVERSITY The notion about epidemic process. Lecture: Kamarova A.M.

Epidemics on Networks. Social networks Age 4–5Age 10–11.

GEOGRAPHIC CLUSTERS OF HEAD & NECK CANCER IN FLORIDA Recinda Sherman, MPH, CTR Florida Cancer Data Systems NAACCR Detroit, June 7, 2007.

Rubella Surveillance and Control in Low-Resource Settings: Limitations, Biases, and Potential for Strengthening Amy Winter, PhD Candidate, Princeton University.

Community-wide outbreak of hepatitis A in Latvia in 2008 Jurijs Perevoščikovs Head, Department of Epidemiological Surveillance of Infectious Diseases State.

Copyright © 2008 Delmar. All rights reserved. Chapter 4 Epidemiology and Public Health Nursing.

Where Has All the Pertussis Gone? Pertussis Trends from and the Potential Early Impact of Tdap Vaccination National Immunization Conference Dallas,

© 2004 Wadsworth – Thomson Learning Chapter 20 Preventing Disease.

Sangeeta Venkatachalam, Armin R. Mikler

Epidemiology What is Epidemiology? Etiology.

EPIDEMIOLOGY AND NOSOCOMIAL INFECTIONS

Understanding the Transmission Patterns of Mycobacterium bovis

11/27/2018 بررسي همه گيري.

Immunization Against Varicella:

Factors that affect disease dynamics and outbreaks

Surveillance of Tuberculosis

Presentation transcript:

Rubén Solano 1, 2, D. Gómez-Barroso 4,2, F. Simón 2, 4, S. Lafuente 3, J. Caylà 3 1 Field Epidemiology Training Program (PEAC-Spain). 2 National Centre for Epidemiology, Carlos III Institute of Health. Madrid, Spain. 3 Epidemiology Department, Public Health Agency of Barcelona, Barcelona, Spain. 4 CIBER en Epidemiología y Salud Pública (CIBERESP), Spain. Space-Time clusters analysis of cases of whooping cough- Barcelona, Spain,

Upper Respitarory TractWidespread vaccination Endemic Worldwide Whooping Cough Tan T,Trindade E, Skowronski D. Epidemiology of Pertussis. Pediatric Infect Dis J. 2005;24:10-18.

Whooping cough Surveillance in Spain 1997, National Epidemiological Surveillance Network (RENAVE) Agregated Cases Reported Cantabria Catalonia Madrid

Catalonia (Barcelona) Global increasing of cases Barcelona Rates/ p Whooping cough Surveillance in Catalonia-Barcelona

National Local Impact

Objective To identify space-time clusters of whooping cough in the period in order to identify high risk areas in Barcelona

Methods Design: Retrospective Space-Time analysis Case definition: All cases of whooping cough individual reported to the Public Health Agency of Barcelona during the study period Population: census of 2006 of the National Statistics Institute stratified by age and sex and census tracts

Methods Temporal and Spatial Criteria: 7 days and 500 meters maximum distance Maps have been developed: - Most likely cluster (with maximum likelihood ratio). Others clusters with statistical significance (p<0.05) Scan Statistic analysis assuming a Poisson distribution

Results

N=646Age Groups (Years) Distribution of cases of whooping cough by sex and age groups, Barcelona, Spain

Age Groups (Years) Reporting Year N=646 Annual distribution of cases of whooping cough by age groups, Barcelona, Spain

Space-Time distribution of Clusters of whooping cough, Barcelona-Spain, Clusters, p<0.05 Most likely cluster Secondary N=283 Cluster 4 Cluster 1

Space-Time distribution of Clusters of whooping cough- Barcelona, Spain, ClustersDateObservedExpectedP-valueNCT 117/8/ /8/ /3/2011-5/4/ /11/ /11/ /6/2011-5/7/ /9/ /9/ /8/ /8/ /6/ /6/ /2/ /2/ /7/ /7/ /1/2004-3/2/ /9/2007-2/10/ /5/ /5/ NCT, Number Census Tracts included

Strengths You can study the entire population or a representative sample More power in generalising Limitations Susceptible to selection bias We included only cases with complete epidemiological and space-time information

Conclusions Spatial statistics methods: - are useful to identify outbreaks not reported to the surveillance system - can be complementary tools in epidemiological surveillance systems We identified 12 Space-time clusters The most likely cluster: - included 5 census tracts - was not reported as an outbreak

Recommendations Enhanced surveillance of whooping cough in regions with high incidence rates Better control of immunization of persons aged 0 to 18 in high incidence areas Understanding of person-to-person inter-individual contact patterns and the spread of epidemics

Thank You !!!