scholarly journals Developing a Large-Scale Covid-19 Surveillance System to Reopen Campuses

NEJM Catalyst ◽  
2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Katy Mahraj ◽  
Krisda H. Chaiyachati ◽  
David A. Asch ◽  
Glenn Fala ◽  
David Do ◽  
...  
Keyword(s):  
Surveillance System ◽  
Large Scale

scholarly journals Mobile Phones As Surveillance Tools: Implementing and Evaluating a Large-Scale Intersectoral Surveillance System for Rabies in Tanzania

PLoS Medicine ◽  
2016 ◽  
Vol 13 (4) ◽  
pp. e1002002 ◽  
Author(s):  
Zacharia Mtema ◽  
Joel Changalucha ◽  
Sarah Cleaveland ◽  
Martin Elias ◽  
Heather M. Ferguson ◽  
...  
Keyword(s):  
Mobile Phones ◽  
Surveillance System ◽  
Large Scale

Feasibility Study of Surveying the Adverse Drug Reaction Surveillance Systems in a Large Community of Hospitals

1992 ◽  
Vol 26 (3) ◽  
pp. 384-391 ◽  
Author(s):  
Abraham G. Hartzema ◽  
Miquel S. Porta ◽  
Hugh H. Tilson ◽  
Carlos R. Herrera ◽  
Jeffrey T. Moss ◽  
...  
Keyword(s):  
Adverse Drug Reaction ◽  
Drug Reaction ◽  
Surveillance System ◽  
Large Scale ◽  
Surveillance Systems ◽  
Harris County ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Uniform Definition ◽  
Definition Of

OBJECTIVE: To determine the feasibility of accurately assessing the types of hospital adverse drug reaction (ADR) surveillance systems. DESIGN: Cross-sectional survey by mailed, self-administered questionnaire followed by selected verification interviews. SETTING: Harris County, Texas. PARTICIPANTS: All hospitals in the county with different pharmacy directors. MAIN OUTCOME MEASURE: Self description of surveillance system and number of ADRs reported. RESULTS: Forty-nine of 61 hospitals (80 percent) responded to a questionnaire. Forty-seven (96 percent) of the responding hospitals collected information on ADRs with 11 (22 percent) describing their surveillance system as active. Those individuals most often cited as responsible for ADR surveillance included pharmacists, quality assurance personnel, and nurses. Data were verified by personal interviews for 10 hospitals. The number of ADRs reported during the interviews was significantly lower than that reported in the questionnaires. Overall, the reporting of fatal and severe ADRs were more reliable than the reporting of moderate ADRs. These differences were the result of inadequate documentation and the lack of a uniform definition of ADRs. CONCLUSIONS: These data suggest that a large-scale ongoing survey of surveillance systems and reported adverse event rates has limitations and the reliability of data derived from a questionnaire should be verified. To improve the accuracy of surveys used to monitor hospital ADR surveillance systems, it is essential to develop reliable definitions for classifying ADRs and surveillance methods, as well as accurate measures of ADR documentation procedures.

scholarly journals 5. Disaster management, Large-Scale Surveillance System

2016 ◽  
Vol 70 (1) ◽  
pp. 70-74
Author(s):  
Masaharu Ueda ◽  
Yasushi Ashida ◽  
Hiromitsu Nomura
Keyword(s):  
Disaster Management ◽  
Surveillance System ◽  
Large Scale

Bioterrorism

2021 ◽  
pp. 287-296
Author(s):  
Peter Katona
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Global Economy ◽  
Large Scale ◽  
Severe Disease ◽  
Public Health Response ◽  
Health Response ◽  
Bioterrorism Agent ◽  
Public Health Surveillance System

History shows us that individuals have used and likely will continue to use biological agents for terrorism purposes. Bioterrorism agents can be easily disseminated, cause severe disease and high mortality rates if cases are not treated properly, and pose significant challenges for management and response. A robust public health surveillance system that includes laboratory (including routine reportable disease surveillance), syndromic, and environmental surveillance is crucial for detection of the release of a bioterrorism agent and the resulting cases. This detection can then set into motion a robust and comprehensive public health response to minimize morbidity and mortality. A large-scale bioterrorism event would be unprecedented, straining and challenging every facet of medical and public health response and would quickly become a global emergency because of both the potential risk of infection and the shock to the global economy. A robust public health and medical workforce is necessary to respond effectively and efficiently to these types of events.

The Design and Implementation of a Video Surveillance System for Large Scale Wind Farm

2011 ◽  
Vol 361-363 ◽  
pp. 1257-1262
Author(s):  
Li Juan Song ◽  
Qiang Fan
Keyword(s):  
Video Surveillance ◽  
Surveillance System ◽  
Large Scale ◽  
Wind Farm ◽  
Construction Cost ◽  
Video Surveillance System ◽  
Design And Implementation ◽  
Key Technologies ◽  
Transmission Structure ◽  
Network Technologies

In this paper, a model of the video surveillance system is proposed, which is defined as the centralized, regional and local these three monitoring levels. The design and implementation of the system is described from the acquisition, transmission and monitoring subsystems. The problems that should be noticed in construction of the acquisition subsystem are pointed out. A variety of network technologies are analyzed from the view of the construction cost and post-maintenance. The transmission structure with disaster recovery performance is given on the basis of network contrast. In the end, the key technologies and functions of monitoring subsystem are given.

A Flexible and Scalable Cooperative Surveillance Technique Using Integrated Ontology Reasoning

2013 ◽  
Vol 284-287 ◽  
pp. 3246-3250
Author(s):  
Pil Seong Park ◽  
Soo Mi Yang
Keyword(s):  
Surveillance System ◽  
Large Scale ◽  
Multimedia Data ◽  
Smart Camera ◽  
Test Bed ◽  
Standard Specification ◽  
Smart Cameras ◽  
Annotation Process ◽  
Smart Camera Networks ◽  
Over Time

In large-scale smart camera networks, cooperation among devices is required for continuous tracking of targets and higher level reasoning. A large amount of multimedia data with derived metadata is generated and transferred among devices. In this paper, we design a large-scale surveillance system which consists of smart cameras. It complies with the standard specification to ensure interoperability among cameras and flexibility regarding integration of new devices and services. Surveillance data contained in them is integrated and structured according to the ontology, and useful context information can be derived. This paper introduces how to build surveillance knowledge base, import relevant data from other devices, and annotate data on interoperable framework which accommodates to the standard. The annotation process provides an impetus to the improvement of knowledge over time. We define a representative reasoning architecture that provides location-based context induction, and implemented in our test bed site to show superiority in large-scale surveillance.

scholarly journals Evaluation of Vaccine Safety After the First Public Sector Introduction of Typhoid Conjugate Vaccine—Navi Mumbai, India, 2018

2021 ◽  
Author(s):  
Ashley T Longley ◽  
Kashmira Date ◽  
Stephen P Luby ◽  
Pankaj Bhatnagar ◽  
Adwoa D Bentsi-Enchill ◽  
...  
Keyword(s):  
Public Sector ◽  
Adverse Events ◽  
Conjugate Vaccine ◽  
Surveillance System ◽  
Large Scale ◽  
Safety Evaluation ◽  
Vaccine Safety ◽  
World Health ◽  
Post Vaccination ◽  
Health Organization

Abstract Background In December 2017, the World Health Organization (WHO) prequalified the first typhoid conjugate vaccine (TCV) (Typbar-TCV). While no safety concerns were identified in pre- and post-licensure studies, WHO’s Global Advisory Committee on Vaccine Safety recommended robust safety evaluation with large-scale TCV introductions. During July–August 2018, the Navi Mumbai Municipal Corporation (NMMC) launched the world’s first public sector TCV introduction. Per administrative reports, 113,420 children 9 months–14 years old received TCV. Methods We evaluated adverse events following immunization (AEFI) using passive and active surveillance via 1) reports from the passive NMMC AEFI surveillance system, 2) telephone interviews with 5% of caregivers of vaccine recipients 48 hours and 7 days post-vaccination, and 3) chart abstraction for adverse events of special interest (AESI) among patients admitted to 5 hospitals using the Brighton Collaboration criteria followed by ascertainment of vaccination status. Results We identified 222/113,420 (0.2%) AEFI through the NMMC AEFI surveillance system: 211 (0.19%) minor, 2 (0.002%) severe, and 9 (0.008%) serious. At 48 hours post-vaccination, 1,852/5,605 (33%) caregivers reported one or more AEFI, including injection site pain (n=1,452, 26%), swelling (n=419, 7.5%), and fever (n=416, 7.4%). Of the 4,728 interviews completed at 7 days post-vaccination, the most reported AEFI included fever (n=200, 4%), pain (n=52, 1%), and headache (n=42, 1%). Among 525 hospitalized children diagnosed with an AESI, 60 were vaccinated; no AESI were causally associated with TCV. Conclusions No unexpected safety signals were identified with TCV introduction. This provides further reassurance for the large-scale use of Typbar-TCV among children 9 months–14 years old.

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