scholarly journals Advances in Surveillance of Periodontitis: The Centers for Disease Control and Prevention Periodontal Disease Surveillance Project

2012 ◽  
Vol 83 (11) ◽  
pp. 1337-1342 ◽  
Author(s):  
Paul I. Eke ◽  
Gina Thornton-Evans ◽  
Bruce Dye ◽  
Robert Genco
Keyword(s):  
Periodontal Disease ◽  
Disease Control ◽  
Disease Surveillance ◽  
Control And Prevention ◽  
Centers For Disease Control

scholarly journals Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data: Demonstration Using a Novel Dataset (Preprint)

2019 ◽  
Author(s):  
Wendy K Caldwell ◽  
Geoffrey Fairchild ◽  
Sara Y Del Valle
Keyword(s):  
Disease Control ◽  
Disease Surveillance ◽  
State Level ◽  
The United States ◽  
Influenza Surveillance ◽  
Traffic Data ◽  
Time Data ◽  
Control And Prevention ◽  
Data Source ◽  
Centers For Disease Control

BACKGROUND Influenza epidemics result in a public health and economic burden worldwide. Traditional surveillance techniques, which rely on doctor visits, provide data with a delay of 1 to 2 weeks. A means of obtaining real-time data and forecasting future outbreaks is desirable to provide more timely responses to influenza epidemics. OBJECTIVE This study aimed to present the first implementation of a novel dataset by demonstrating its ability to supplement traditional disease surveillance at multiple spatial resolutions. METHODS We used internet traffic data from the Centers for Disease Control and Prevention (CDC) website to determine the potential usability of this data source. We tested the traffic generated by 10 influenza-related pages in 8 states and 9 census divisions within the United States and compared it against clinical surveillance data. RESULTS Our results yielded an <i>r</i><sup>2</sup> value of 0.955 in the most successful case, promising results for some cases, and unsuccessful results for other cases. In the interest of scientific transparency to further the understanding of when internet data streams are an appropriate supplemental data source, we also included negative results (ie, unsuccessful models). Models that focused on a single influenza season were more successful than those that attempted to model multiple influenza seasons. Geographic resolution appeared to play a key role, with national and regional models being more successful, overall, than models at the state level. CONCLUSIONS These results demonstrate that internet data may be able to complement traditional influenza surveillance in some cases but not in others. Specifically, our results show that the CDC website traffic may inform national- and division-level models but not models for each individual state. In addition, our results show better agreement when the data were broken up by seasons instead of aggregated over several years. We anticipate that this work will lead to more complex nowcasting and forecasting models using this data stream.

Molecular Surveillance of Shiga Toxigenic Escherichia coli O157 by PulseNet USA

2005 ◽  
Vol 68 (9) ◽  
pp. 1926-1931 ◽  
Author(s):  
PETER GERNER-SMIDT ◽  
JENNIFER KINCAID ◽  
KRISTY KUBOTA ◽  
KELLEY HISE ◽  
SUSAN B. HUNTER ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Disease Control ◽  
Disease Surveillance ◽  
Common Source ◽  
Escherichia Coli O157 ◽  
Molecular Surveillance ◽  
E Coli ◽  
Control And Prevention ◽  
Centers For Disease Control ◽  
Time Basis

PulseNet USA is the national molecular subtyping network system for foodborne disease surveillance. Sixty-four public health and food regulatory laboratories participate in PulseNet USA and routinely perform pulsed-field gel electrophoresis of Shiga toxigenic Escherichia coli isolated from humans, food, water, and the environment on a real-time basis. Clusters of infection are detected in three ways within this system: through rapidly alerting the participants in the electronic communication forum, the PulseNet Web conference; through cluster analysis by the database administrators at the coordinating center at the Centers for Disease Control and Prevention of the patterns uploaded to the central server by the participants; and by matching profiles of strains from nonhuman sources with recent human uploads to the national server. The strengths, limitations, and scope for future improvements of PulseNet are discussed with examples from 2002. In that year, notices of 30 clusters of Shiga toxigenic E. coli O157 infections were posted on the Web conference, 26 of which represented local outbreaks, whereas four were multistate outbreaks. Another 27 clusters were detected by central cluster detection performed at the Centers for Disease Control and Prevention, of which five represented common source outbreaks confirmed after finding an isolate with the outbreak pattern in the implicated food. Ten food isolates submitted without suspicion of an association to human disease matched human isolates in the database, and an epidemiologic link to human cases was established for six of them.

The First 24 Hours of the World Trade Center Attacks of 2001—The Centers for Disease Control and Prevention Emergency Phase Response

2007 ◽  
Vol 22 (6) ◽  
pp. 473-477 ◽  
Author(s):  
Miguel A. Cruz ◽  
Ronald Burger ◽  
Mark Keim
Keyword(s):  
Public Health ◽  
Disease Control ◽  
World Trade ◽  
Disease Surveillance ◽  
Technical Assistance ◽  
World Trade Center ◽  
The World ◽  
Control And Prevention ◽  
Trade Center ◽  
Centers For Disease Control

AbstractOn 11 September 2001, terrorists hijacked two passenger planes and crashed them into the two towers of the World Trade Center (WTC) in New York City. These synchronized attacks were the largest act of terrorism ever committed on US soil. The impacts, fires, and subsequent collapse of the towers killed and injured thousands of people.Within minutes after the first plane crashed into the WTC, the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia, initiated one of the largest public health responses in its history. Staff of the CDC provided technical assistance on several key public health issues. During the acute phase of the event, CDC personnel assisted with: (1) assessing hospital capacity; (2) establishing injury and disease surveillance activities; (3) deploying emergency coordinators/liaisons to facilitate inter-agency coordination with the affected jurisdictions; and (4) arranging rapid delivery of emergency medical supplies, therapeutics, and personal protective equipment. This incident highlighted the need for adequate planning for all potential hazards and the importance of interagency and interdepartmental coordination in preparing for and responding to public health emergencies.

scholarly journals Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data: Demonstration Using a Novel Dataset

10.2196/14337 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e14337
Author(s):  
Wendy K Caldwell ◽  
Geoffrey Fairchild ◽  
Sara Y Del Valle
Keyword(s):  
Disease Control ◽  
Disease Surveillance ◽  
State Level ◽  
The United States ◽  
Influenza Surveillance ◽  
Traffic Data ◽  
Time Data ◽  
Control And Prevention ◽  
Data Source ◽  
Centers For Disease Control

Background Influenza epidemics result in a public health and economic burden worldwide. Traditional surveillance techniques, which rely on doctor visits, provide data with a delay of 1 to 2 weeks. A means of obtaining real-time data and forecasting future outbreaks is desirable to provide more timely responses to influenza epidemics. Objective This study aimed to present the first implementation of a novel dataset by demonstrating its ability to supplement traditional disease surveillance at multiple spatial resolutions. Methods We used internet traffic data from the Centers for Disease Control and Prevention (CDC) website to determine the potential usability of this data source. We tested the traffic generated by 10 influenza-related pages in 8 states and 9 census divisions within the United States and compared it against clinical surveillance data. Results Our results yielded an r2 value of 0.955 in the most successful case, promising results for some cases, and unsuccessful results for other cases. In the interest of scientific transparency to further the understanding of when internet data streams are an appropriate supplemental data source, we also included negative results (ie, unsuccessful models). Models that focused on a single influenza season were more successful than those that attempted to model multiple influenza seasons. Geographic resolution appeared to play a key role, with national and regional models being more successful, overall, than models at the state level. Conclusions These results demonstrate that internet data may be able to complement traditional influenza surveillance in some cases but not in others. Specifically, our results show that the CDC website traffic may inform national- and division-level models but not models for each individual state. In addition, our results show better agreement when the data were broken up by seasons instead of aggregated over several years. We anticipate that this work will lead to more complex nowcasting and forecasting models using this data stream.

scholarly journals Wikipedia Usage Estimates Prevalence of Influenza-like Illness in Near Real-Time

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
David McIver ◽  
John S. Brownstein
Keyword(s):  
Disease Control ◽  
Real Time ◽  
Disease Surveillance ◽  
Influenza Like Illness ◽  
The Us ◽  
Control And Prevention ◽  
Centers For Disease Control ◽  
Usage Data

Wikipedia usage data has been harnessed to estimate the prevalence of influenza-like illness (ILI) in the US population. By observing the number of times certain key Wikipedia articles are viewed each day, a model was developed that accurately estimated ILI, within 0.27% of official Centers for Disease Control and Prevention data. Additionally, this method was able to accurately determine the week in which ILI peaked 17% more often than Google Flu Trends. This work demonstrates the power of open, freely available data to aid in disease surveillance.

The Speech-Language Pathologists' Role in Mild Traumatic Brain Injury for Middle and High School–Age Children: Viewpoints on Guidelines From the Centers for Disease Control and Prevention

2019 ◽  
Vol 28 (3) ◽  
pp. 1363-1370 ◽  
Author(s):  
Jessica Brown ◽  
Katy O'Brien ◽  
Kelly Knollman-Porter ◽  
Tracey Wallace
Keyword(s):  
High School ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Disease Control ◽  
Mild Traumatic Brain Injury ◽  
School Age Children ◽  
School Age ◽  
Speech Language Pathologists ◽  
Control And Prevention ◽  
Centers For Disease Control

Purpose The Centers for Disease Control and Prevention (CDC) recently released guidelines for rehabilitation professionals regarding the care of children with mild traumatic brain injury (mTBI). Given that mTBI impacts millions of children each year and can be particularly detrimental to children in middle and high school age groups, access to universal recommendations for management of postinjury symptoms is ideal. Method This viewpoint article examines the CDC guidelines and applies these recommendations directly to speech-language pathology practices. In particular, education, assessment, treatment, team management, and ongoing monitoring are discussed. In addition, suggested timelines regarding implementation of services by speech-language pathologists (SLPs) are provided. Specific focus is placed on adolescents (i.e., middle and high school–age children). Results SLPs are critical members of the rehabilitation team working with children with mTBI and should be involved in education, symptom monitoring, and assessment early in the recovery process. SLPs can also provide unique insight into the cognitive and linguistic challenges of these students and can serve to bridge the gap among rehabilitation and school-based professionals, the adolescent with brain injury, and their parents. Conclusion The guidelines provided by the CDC, along with evidence from the field of speech pathology, can guide SLPs to advocate for involvement in the care of adolescents with mTBI. More research is needed to enhance the evidence base for direct assessment and treatment with this population; however, SLPs can use their extensive knowledge and experience working with individuals with traumatic brain injury as a starting point for post-mTBI care.

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