Rates and causes of stillbirth in a demographic surveillance site in Karachi, Pakistan

Stillbirth remained a neglected issue absent from mention in Millennium Development Goals. An estimated 2.6 million babies are stillborn every year with highest rate in Pakistan, 43.1 stillbirths/1000 births. There is lack of good quality prospective population based data in Pakistan regarding burden, timing and causes of stillbirths.


To determine burden, timing and causes of stillbirths in a prospective cohort of pregnant from a low income community setting in peri urban Karachi

August 03, 2017

Soda Pop: A Time-Series Clustering, Alarming and Disease Forecasting Application

The Biosurveillance Ecosystem (BSVE) is a biological and chemical threat surveillance system sponsored by the Defense Threat Reduction Agency (DTRA). BSVE is intended to be user-friendly, multi-agency, cooperative, modular and threat agnostic platform for biosurveillance [2]. In BSVE, a web-based workbench presents the analyst with applications (apps) developed by various DTRAfunded researchers, which are deployed on-demand in the cloud (e.g., Amazon Web Services).

August 10, 2017

User-friendly Rshiny web applications for supporting syndromic surveillance analysis

The French syndromic surveillance system SursaUD® has been set up by Santé publique France, the national public health agency (formerly French institute for public health - InVS) in 2004. In 2016, the system is based on three main data sources: the attendances in about 650 emergency departments (ED), the consultations to

August 22, 2017

Beyond aberration detection, coping with multiple exceedances in a national syndromic surveillance service

Public Health England uses data from four national syndromic surveillance systems to support public health programmes and identify unusual activity. Each system monitors a wide range of respiratory, gastrointestinal and other syndromes at a local, regional and national level. As a result, over 12,000 ‘signals’ (combining syndrome and geography) need to be assessed each day to identify aberrations. In this webinar I will describe how the ‘big data’ collected daily are translated into useful information for public health surveillance.

March 15, 2017

Multivariate Count Time Series Modeling of Surveillance Data

Surveillance data on various notifiable diseases usually consist of multiple time series of daily, weekly, or monthly counts of new infections. Data are typically reported in several strata defined through administrative geographical areas, gender and/or age groups. Statistical modeling of the resulting multivariate time series is an important task in infectious disease epidemiology. We will discuss time series models - specifically developed for multivariate surveillance count data - that can be used for two distinct roles, understanding and prediction of disease spread.

March 13, 2017

Epidemics of the “common cold” and the dynamics of severe asthma exacerbation

Common colds are one of the principal causes of severe exacerbations in asthmatic people, reflected in epidemic-like waves of asthma hospitalizations. Most studies do not estimate the effect of infectious causes of exacerbations, and cannot account for how this risk changes through time. 

March 14, 2017

Bayesian Surveillance for the Detection of Small Area Health Anomalies

The surveillance task when faced with small area health data is more complex than in the time domain alone. Both changes in time and space must be considered. Such questions as ‘where will the infection spread to next?’ and, ‘when will the infection arrive here’, or ‘when do we see the end of the epidemic?’ are all spatially specific questions that are commonly of concern for both the public and public health agencies.  Hence both spatial and temporal dimensions of the surveillance task must be considered.

March 14, 2017

Assessing Risk for Emerging Arboviral Disease Use Case

Materials associated with the Analytic Solutions for Real-Time Biosurveillance: Assessing Risk for Emerging Arboviral Disease consultancy held June 14-15, 2016 at the Arizona Department of Health Services.

Problem Summary

March 23, 2017

Making health measurable IHME and the Global Burden of Disease

Overview of the Institute for Health Metrics and Evaluation


William Heisel, Director of Global Engagement, IHME 

July 05, 2017

Reportable Disease Cluster Detection in the Context of Sporadic Adoption of PCR-based Diagnostic Tests

Materials associated with the Analytic Solutions for Real-Time Biosurveillance: Reportable Disease Cluster Detection in the Context of Sporadic Adoption of PCR-based Diagnostic Tests consultancy call held May 3, at 12 pm ET.

Problem Summary

March 23, 2017


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