Data Sharing Through Dashboards: The Who, What, Where, When, and Why

Presented April 26, 2019.

Description: Join us for this lightning talk webinar experience where you will see multiple examples of data dashboards and learn more about who they were created for, how they were developed, where and when the data is being shared, and what impact the dashboard has had on improving public health practice. We will hear from 5 presenters from around the public health community as they discuss their work on opioid, flu, and general disease surveillance dashboards.

Presenters addressed the following questions:

April 30, 2019

Forecasting Emergency Department Admissions for Pneumonia in Tropical Singapore

Pneumonia, an infection of the lung due to bacterial, viral or fungal pathogens, is a significant cause of morbidity and mortality worldwide. In the past few decades, the threat of emerging pathogens presenting as pneumonia, such as Severe Acute Respiratory Syndrome, avian influenza A(H5N1) and A(H7N9), and Middle East Respiratory Syndrome coronavirus has emphasised the importance of the surveillance of pneumonia and other severe respiratory infections.

January 19, 2018

Evaluation of approaches that adjust for biases in participatory surveillance systems

Because the dynamics and severity of influenza in the US vary each season, yearly estimates of disease burden in the population are essential to evaluate interventions and allocate resources. The CDC uses data from a national health-care based surveillance system and mathematical models to estimate the overall burden of disease in the general population. Over the past decade, crowd-sourced syndromic surveillance systems have emerged as a digital data source that collects health-related information in near real-time.

January 21, 2018

Using R for Disease Surveillance + Enabling Citizen Data Science and Cybersecurity/safety Tips for Scientists

The R programming language has become a critical data science tool for the scientific community but has also helped launch a new era of “citizen data scientists” due to the wealth of packages that make it easy to access rich data sources, perform a wide array of computations and produce striking and informative visualizations. This talk will review the history of the ‘cdcfluview’ package, show how it has been used by researchers and citizens, and provide insight into the rationale that created it.

January 24, 2018

Implementation of Real-Time Laboratory-Based Influenza Surveillance System, Thailand

Influenza is one of the significant causes of morbidity and mortality globally. Previous studies have demonstrated the benefit of laboratory surveillance and its capability to accurately detect influenza outbreaks earlier than syndromic surveillance.1-3 Current laboratory surveillance has an approximately 4-week lag due to laboratory test turn-around time, data collection and data analysis.

January 25, 2018

Viral causes of Influenza Like Illness in Uganda, 2008 to 2017.

Respiratory pathogens continue to present an ever increasing threat to public health. Influenza, Respiratory syncytial virus, human metapneumovirus and other respiratory viruses are major etiological agents for influenza like illnesses (ILI). Establishment of viral causes of ILI is critical for prevention and mitigation strategies to disease threats. Makerere University Walter Reed Project (MUWRP) together with the Ugandan Ministry of Health and partners undertook surveillance to determine viral causes of influenza-like illness in Uganda.


January 25, 2018

Cause-Specific School Absenteeism Monitoring Identifies Community Influenza Outbreaks

Transmission and amplification of influenza within schools has been purported as a driving mechanism for subsequent outbreaks in surrounding communities. However, the number of studies assessing the utility of monitoring school absenteeism as an indicator of influenza in the community is limited. ORCHARDS was initiated to evaluate the relationships between all-cause (a-Tot), illness-related (a-I), and influenza-like illness (ILI)-related absenteeism (a-ILI) within a school district and medically attended influenza A or B visits within the same community.

January 25, 2018

Near Real-time Surveillance of Disease during 2016-17 Influenza Season in the U.S.

Public health agencies worldwide all enjoy the same mission—providing healthcare warnings, guidance, and support to the public and healthcare professionals they represent. A critical element in achieving this mission is accessing timely and comprehensive surveillance information about disease in their regions of responsibility.

January 25, 2018

Morbidity patterns associated with seasonal influenza A/H1N1in Swaziland

Influenza infection is caused by the influenza virus, a single-stranded RNA virus belonging to the Orthomyxoviridae family. Influenza viruses are classified as types A, B and C. Influenza A and B viruses can cause epidemic disease in humans and type C viruses usually cause a mild, cold-like illness. The influenza virus spreads rapidly around the world in seasonal epidemics, resulting in significant morbidity and mortality.

January 25, 2018

Using R Shiny to Share Surveillance Data

Presented November 21, 2017.

This presentation covers how the shiny package can complement traditional surveillance reporting through online, interactive applications. Kelley demonstrates a shiny application Cook County is currently using to share influenza data and walks through the steps she took to make the application and lessons learned. She reviews portions of the code available on Github here:

November 21, 2017


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