Propagation of program control: A tool for distributed disease surveillance

Bellika, Johan Gustav; Hasvold, Toralf; Hartvigsen, Gunnar

doi:10.1016/j.ijmedinf.2006.02.007

Cited by 25 publications

(12 citation statements)

References 43 publications

(82 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present study reiterated the ability of syndromic surveillance in detecting and monitoring out breaks across the globe in the last decade. [12][13][14][15][16] To ensure timeliness and completeness of fever surveillance and to prevent program fatigue, an incentive based zero reporting system was an inbuilt component of this project. The timeliness and completeness of reports goes to prove the effectiveness of this system at the regional level.…”

Section: Discussionmentioning

confidence: 99%

Evaluating an incentive based syndromic case reporting model using local health volunteers for predicting and preventing chikungunya epidemics in North Kerala, India

Rahim¹,

Bina²,

Thayyil³

et al. 2016

Int J Community Med Public Health

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Evaluating an incentive based syndromic case reporting model using local health volunteers for predicting and preventing chikungunya epidemics in North Kerala, India

Rahim¹,

Bina²,

Thayyil³

et al. 2016

Int J Community Med Public Health

View full text Add to dashboard Cite

“…Disease outbreak data were obtained from the microbiology laboratory at the University Hospital of North Norway reflecting tests done on samples from the two northernmost counties in Norway, i.e., Troms and Finnmark. These data are adapted for use in the Snow agent system deployed in the Norwegian Health Net, where the current methodology is intended as a key ingredient [34]. These data serve as useful proxies for the real number of cases of the diseases.…”

Section: Methodsmentioning

confidence: 99%

Causality in Scale Space as an Approach to Change Detection

2012

View full text Add to dashboard Cite

Kernel density estimation and kernel regression are useful ways to visualize and assess the structure of data. Using these techniques we define a temporal scale space as the vector space spanned by bandwidth and a temporal variable. In this space significance regions that reflect a significant derivative in the kernel smooth similar to those of SiZer (Significant Zero-crossings of derivatives) are indicated. Significance regions are established by hypothesis tests for significant gradient at every point in scale space. Causality is imposed onto the space by restricting to kernels with left-bounded or finite support and shifting kernels forward. We show that these adjustments to the methodology enable early detection of changes in time series constituting live surveillance systems of either count data or unevenly sampled measurements. Warning delays are comparable to standard techniques though comparison shows that other techniques may be better suited for single-scale problems. Our method reliably detects change points even with little to no knowledge about the relevant scale of the problem. Hence the technique will be applicable for a large variety of sources without tailoring. Furthermore this technique enables us to obtain a retrospective reliable interval estimate of the time of a change point rather than a point estimate. We apply the technique to disease outbreak detection based on laboratory confirmed cases for pertussis and influenza as well as blood glucose concentration obtained from patients with diabetes type 1.

show abstract

“…11 In Norway, researchers at the Norwegian Center for Integrated Care and Telemedicine have developed Snow Agent, a distributed, bidirectional, query-based population health monitoring system that connects EHRs from disparate general practitioners in the same geographic area. 13 The system was designed for the purpose of relaying data back to providers on the front line of primary care on relevant issues such as the daily incidence of influenza-like illness at clinical sites in their geographic area. Snow Agent was pilot tested between 2007 and 2012 and, although it is not yet being used by governmental public health authorities, it is capable of conducting automated epidemiologic surveillance by aggregating data on clinical diagnoses and symptoms.…”

Section: Major National and Regional Initiativesmentioning

confidence: 99%

The State of Population Health Surveillance Using Electronic Health Records: A Narrative Review

Paul

Greene

Newton-Dame

et al. 2015

Population Health Management

View full text Add to dashboard Cite

Electronic health records (EHRs) are transforming the practice of clinical medicine, but the extent to which they are being harnessed to advance public health goals remains uncertain. Data extracted from integrated EHR networks offer the potential for almost real-time determination of the health status of populations in care, for targeting interventions to vulnerable populations, and for monitoring the impact of such initiatives over time. This is especially true in ambulatory care settings, which are uniquely suited for monitoring population health indicators including risk factors and disease management indicators associated with chronic diseases. As efforts gather steam to integrate health data across delivery systems, large networks of electronic patient information are increasingly emerging. Few of the national population health surveillance systems that rely on EHR data have progressed beyond laying groundwork to launch and maintain EHR-based surveillance, but a limited number of more focused or local efforts have demonstrated innovation in population health surveillance. Common challenges include incompleteness of population coverage, lack of interoperability across data systems, and variable data quality. This review defines progress, opportunities, and challenges in using EHR data for population health surveillance.

show abstract

Propagation of program control: A tool for distributed disease surveillance

Cited by 25 publications

References 43 publications

Evaluating an incentive based syndromic case reporting model using local health volunteers for predicting and preventing chikungunya epidemics in North Kerala, India

Evaluating an incentive based syndromic case reporting model using local health volunteers for predicting and preventing chikungunya epidemics in North Kerala, India

Causality in Scale Space as an Approach to Change Detection

The State of Population Health Surveillance Using Electronic Health Records: A Narrative Review

Contact Info

Product

Resources

About