scholarly journals Incorporation of School Absenteeism Data into the Maryland Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE)

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Zachary Faigen ◽  
Anikah Salim ◽  
Isaac Ajit
Keyword(s):  
Surveillance System ◽  
School Absenteeism ◽  
Electronic Surveillance ◽  
Community Based

scholarly journals ESSENCE, the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (Preprint)

2020 ◽  
Author(s):  
Howard Burkom ◽  
Wayne Loschen ◽  
Richard Wojcik ◽  
Rekha Holtry ◽  
Monika Punjabi ◽  
...  
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Severe Weather ◽  
Lessons Learned ◽  
Local Health ◽  
Walter Reed Army Institute ◽  
Health Departments ◽  
Electronic Surveillance ◽  
Community Based ◽  
Detection And Tracking

BACKGROUND The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) is a secure web-based tool that enables health care practitioners to monitor health indicators of public health importance for detection and tracking of disease outbreaks, consequences of severe weather, and other events of concern. The ESSENCE concept began in an internally funded project at the Johns Hopkins University Applied Physics Laboratory (JHU/APL), advanced with funding from the State of Maryland, and broadened in 1999 as a collaboration with the Walter Reed Army Institute for Research. Versions of the system have been further developed by JHU/APL in multiple military and civilian programs for timely detection and tracking of health threats. OBJECTIVE Aims of this article are to describe the components and development of a biosurveillance system increasingly coordinating all-hazards health surveillance as well as infectious disease monitoring among large and small health departments, to list key features and lessons learned in the growth of this system, and to describe the range of initiatives and accomplishments of local epidemiologists using it. METHODS Features of ESSENCE include spatial and temporal statistical alerting, custom querying, user-defined alert notifications, geographical mapping, remote data capture, and event communications. For visualization, configurable and interactive modes of data stratification and filtering, graphical and tabular customization, user preference management, and sharing features allow users to query data and view geographic representations, time series and data details pages, and reports. These features allow ESSENCE users to gather and organize the resulting wealth of information into a coherent view of population health status and communicate findings among users. RESULTS The resulting broad utility, applicability and adaptability of this system led to adoption of ESSENCE by the Centers for Disease Control and Prevention (CDC), numerous state and local health departments, and the Department of Defense (DOD) both nationally and globally. An open-source version SAGES is available for global, resource-limited settings. Resourceful users of the US NSSP ESSENCE have applied it to surveillance of infectious diseases, severe weather and natural disaster events, mass gatherings, chronic diseases and mental health, and injury and substance abuse. CONCLUSIONS With emerging high-consequence communicable diseases and other health conditions, the continued user-requirements-driven enhancements of ESSENCE demonstrate an adaptable disease surveillance capability focused on the everyday needs of public health. The challenge of a live system for widely distributed users with multiple different data sources and high throughput requirements has driven an novel, evolving architecture design.

scholarly journals ESSENCE, the Electronic Surveillance System for the Early Notification of Community-Based Epidemics

2020 ◽  
Author(s):  
Howard Burkom ◽  
Wayne Loschen ◽  
Richard Wojcik ◽  
Rekha Holtry ◽  
Monika Punjabi ◽  
...  
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Health Indicators ◽  
Local Health ◽  
Walter Reed Army Institute ◽  
Electronic Surveillance ◽  
Public Health Importance ◽  
Community Based ◽  
Detection And Tracking ◽  
State And Local

The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) is a secure web-based tool that enables health care practitioners to monitor health indicators of public health importance for detection and tracking of disease outbreaks, consequences of severe weather, and other events of concern. The ESSENCE concept began in an internally funded project at the Johns Hopkins University Applied Physics Laboratory (JHU/APL), advanced with funding from the State of Maryland, and broadened in 1999 as a collaboration with the Walter Reed Army Institute for Research. Versions of the system have been further developed by JHU/APL in multiple military and civilian programs for timely detection and tracking of health threats. Features of ESSENCE include spatial and temporal statistical alerting, custom querying, user-defined alert notifications, geographical mapping, remote data capture, and event communications. These features allow ESSENCE users to gather and organize the resulting wealth of information into a coherent view of population health status and communicate findings among users. The resulting broad utility, applicability and adaptability of this system led to adoption of ESSENCE by the Centers for Disease Control and Prevention (CDC), numerous state and local health departments, and the Department of Defense (DOD) both nationally and globally. With emerging high-consequence communicable diseases and other health conditions, the continued user-requirements-driven enhancements of ESSENCE demonstrate an adaptable disease surveillance capability focused on the everyday needs of public health. The challenge of a live system for widely distributed users with multiple different data sources and high throughput requirements has driven an novel, evolving architecture design.

Powers of the Federal Labor Inspectorate: Problems of Implementation of the State’s Supervisory Function in the Digital Economy

2020 ◽  
pp. 52-56
Author(s):  
Apollinariya Aleksandrovna Sapfirova ◽  
Victoria Gagikovna Oganesyan ◽  
Alina Vadimovna Podgornaya
Keyword(s):  
Surveillance System ◽  
Digital Economy ◽  
Administrative Reform ◽  
Document Management ◽  
Labor Rights ◽  
Electronic Surveillance ◽  
State Structure ◽  
Supervision System ◽  
Electronic Signature ◽  
Legal Nature

This paper discusses the implementation of the Federal labor Inspectorate’s powers in the digital economy during the ongoing administrative reform. The effectiveness of this state structure is affected by its dual legal nature, such as the power of labor inspectors is aimed at protecting the rights of em-ployees. In the conditions of the digital economy and the presence of a pandemic, labor rights are fully protected, and the power of Rostrud is limited in relation to supervised objects by prohibiting cer-tain inspections. Under current conditions, the most essential activity of Rostrud is the need to form an electronic supervision system based on the results of the ongoing legal experiment on the introduction of electronic personnel document management. The use of an electronic signature in the activities of Rostrud is the first step in the possibility of imple-menting an electronic surveillance system, which was catalyzed by the pandemic. We believe that elec-tronic supervision will be the next stage of moderni-zation of Rostrud’s activities in the digital economy.

scholarly journals Secondary Analysis of an Electronic Surveillance System Combined with Multi-focal Interventions for Early Detection of Sepsis

2017 ◽  
Vol 26 (01) ◽  
pp. 47-66 ◽  
Author(s):  
Bonnie Westra ◽  
Sean Landman ◽  
Pranjul Yadav ◽  
Michael Steinbach
Keyword(s):  
Early Detection ◽  
Surveillance System ◽  
Point Of Care ◽  
Management Strategies ◽  
Secondary Analysis ◽  
Length Of Hospital Stay ◽  
Separate Analysis ◽  
Electronic Surveillance ◽  
Predictive Values ◽  
Sensitivity Specificity

SummarySummary: To conduct an independent secondary analysis of a multi-focal intervention for early detection of sepsis that included implementation of change management strategies, electronic surveil-lance for sepsis, and evidence based point of care alerting using the POC AdvisorTM application. Methods: Propensity score matching was used to select subsets of the cohorts with balanced covariates. Bootstrapping was performed to build distributions of the measured difference in rates/ means. The effect of the sepsis intervention was evaluated for all patients, and High and Low Risk subgroups for illness severity. A separate analysis was performed patients on the intervention and non-intervention units (without the electronic surveillance). Sensitivity, specificity, and the positive predictive values were calculated to evaluate the accuracy of the alerting system for detecting sepsis or severe sepsis/ septic shock.Results: There was positive effect on the intervention units with sepsis electronic surveillance with an adjusted mortality rate of –6.6%. Mortality rates for non-intervention units also improved, but at a lower rate of –2.9%. Additional outcomes improved for patients on both intervention and non-intervention units for home discharge (7.5% vs 1.1%), total length of hospital stay (-0.9% vs –0.3%), and 30 day readmissions (-6.6% vs –1.6%). Patients on the intervention units showed better outcomes compared with non-intervention unit patients, and even more so for High Risk patients. The sensitivity was 95.2%, specificity of 82.0% and PPV of 50.6% for the electronic surveillance alerts. Conclusion: There was improvement over time across the hospital for patients on the intervention and non-intervention units with more improvement for sicker patients. Patients on intervention units with electronic surveillance have better outcomes; however, due to differences in exclusion criteria and types of units, further study is needed to draw a direct relationship between the electronic surveillance system and outcomes.

scholarly journals SurvNet Electronic Surveillance System for Infectious Disease Outbreaks, Germany

2007 ◽  
Vol 13 (10) ◽  
pp. 1548-1555 ◽  
Author(s):  
Gérard Krause ◽  
Doris Altmann ◽  
Daniel Faensen ◽  
Klaudia Porten ◽  
Justus Benzler ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Surveillance System ◽  
Disease Outbreaks ◽  
Electronic Surveillance ◽  
Infectious Disease Outbreaks

scholarly journals Surveillance system evaluation of non-communicable diseases through integrated community-based intervention called ‘Posbindu PTM’ in Wonosobo district, Central Java province, Indonesia

2018 ◽  
pp. 15
Author(s):  
Rieski Prihastuti ◽  
Trisno Agung Wibowo ◽  
Misinem Misinem
Keyword(s):  
Surveillance System ◽  
Reporting System ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
System Evaluation ◽  
Main Function ◽  
Community Based ◽  
Non Communicable Diseases ◽  
Surveillance System Evaluation ◽  
Non Communicable Disease

Purpose: Non-communicable diseases are leading cause of the global death, especially from cardiovascular disease, cancers, chronic obstructive pulmonary disease, and diabetes. Prevention and primary detection of non-communicable disease in Indonesia were done through integrated community-based intervention called ‘Posbindu PTM’. Implementation of ‘Posbindu PTM’ needed to be evaluated to determine each component in the non-communicable disease surveillance systems. Methods: This study was descriptive. Respondent were programmer in district health office and programmer in 24 primary health care in Wonosobo. Surveillance system evaluation that used was programs evaluation based on WHO (structure, main function, support function and quality of surveillance system). Results: The weakness of ‘Posbindu PTM’ in Wonosobo were lack of knowledge in the regulation, networking, collaborating, risk factor detecting and reporting; not availability of technical guidebook; low training participant; low monitoring and evaluation activity; also complex reporting system. There was 84% ‘Posbindu PTM’ that had not reported on time and 87,50 % programmer had not done the analysis, interpretation, and dissemination. This was related to the completeness of the report caused too many data that needed to be collected and affect the timeliness of the report. Conclusion: Strengthening ‘Posbindu PTM’ should be done in the reporting system aspect, especially in the timeliness and analysis of the report. Monthly reminder and refreshing in reporting system were done to improve the reporting system aspect.

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