scholarly journals Technology-Based Early Warning Systems for Bipolar Disorder: A Conceptual Framework

2016 ◽  
Vol 3 (3) ◽  
pp. e42 ◽  
Author(s):  
Colin Depp ◽  
John Torous ◽  
Wesley Thompson
Keyword(s):  
Bipolar Disorder ◽  
Conceptual Framework ◽  
Early Warning ◽  
Predictive Analytics ◽  
Early Warning Systems ◽  
Essential Elements ◽  
Warning Signs ◽  
Mobile Technologies ◽  
Warning Systems ◽  
Limited Information

Recognition and timely action around “warning signs” of illness exacerbation is central to the self-management of bipolar disorder. Due to its heterogeneity and fluctuating course, passive and active mobile technologies have been increasingly evaluated as adjunctive or standalone tools to predict and prevent risk of worsening of course in bipolar disorder. As predictive analytics approaches to big data from mobile health (mHealth) applications and ancillary sensors advance, it is likely that early warning systems will increasingly become available to patients. Such systems could reduce the amount of time spent experiencing symptoms and diminish the immense disability experienced by people with bipolar disorder. However, in addition to the challenges in validating such systems, we argue that early warning systems may not be without harms. Probabilistic warnings may be delivered to individuals who may not be able to interpret the warning, have limited information about what behaviors to change, or are unprepared to or cannot feasibly act due to time or logistic constraints. We propose five essential elements for early warning systems and provide a conceptual framework for designing, incorporating stakeholder input, and validating early warning systems for bipolar disorder with a focus on pragmatic considerations.

scholarly journals Can Social Media Data Be Utilized to Enhance Early Warning: Retrospective Analysis of the U.S. Covid-19 Pandemic

2021 ◽  
Author(s):  
Lingyao Li ◽  
Lei Gao ◽  
Jiayan Zhou ◽  
Zihui Ma ◽  
David Choy ◽  
...  
Keyword(s):  
Social Media ◽  
Retrospective Analysis ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Signs ◽  
Warning Systems ◽  
Signal Ratio ◽  
Social Media Data ◽  
Media Data ◽  
The U.S

The U.S. needs early warning systems to help it contain the spread of infectious diseases. Conventional early warning systems use lab-test results or dynamic records to signal early warning signs. New early warning systems can supplement these data with indicators of public awareness like news articles and search queries. This study aims to explore the potential of utilizing social media data to enhance early warning of the COVID-19 outbreak. To demonstrate the feasibility, this study conducts a retrospective analysis and investigates more than 14 million related Twitter postings in the date range from January 20 to March 10, 2020. With the aid of natural language processing tools and machine learning classifiers, this study classifies each of these tweets into either a signal or a non-signal. In this study, a 'signal' tweet implies that the user recognized the COVID-19 outbreak risk in the U.S. This study then proposes a parameter 'signal ratio' to signal warning signs of the COVID-19 pandemic over periods. Results reveal that social media data and the signal ratio can detect the hazards ahead of the COVID-19 outbreak. This claim has been validated with a leading time of 16 days through the comparison to other referenced methods based on Google trends or media news.

Disaster preparedness among disaster management agency officers: a study from rural and urban areas in Aceh, Indonesia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cut Husna ◽  
Ridha Firdaus ◽  
Elly Wardani ◽  
Syarifah Rauzatul Jannah
Keyword(s):  
Conceptual Framework ◽  
Disaster Management ◽  
Emergency Response ◽  
Early Warning ◽  
Rural Areas ◽  
Disaster Preparedness ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Content Type ◽  
Management Agency

Purpose The purpose of this study is to identify the preparedness of disaster mitigation agency officers in both urban and rural areas as high vulnerability zones in Aceh, Indonesia, in dealing with disasters. Design/methodology/approach This cross-sectional study adopted a conceptual framework from the Indonesian Institute of Sciences (LIPI) and United Nations of Educational, Scientific, and Cultural Organization (UNESCO)/International Strategy for Disaster Reduction (ISDR) (LIPI-UNESCO/ISDR, 2006), explaining the study of community preparedness in anticipating earthquake and tsunami disasters. The framework of the study consists of five disaster preparedness parameters, namely, knowledge and attitude to face disasters, policies and guidelines, emergency response plans, disaster early warning systems and mobilization of resources. This conceptual framework was developed after the 2004 tsunami through an analysis study in the three provinces in Indonesia (Aceh, Padang and Bengkulu) experiencing earthquakes and tsunamis. This conceptual framework serves as a guideline and is in line with the objective of the regional disaster management Agency to reduce disaster risk through increasing community preparedness, especially providers or officers in anticipating disasters. Findings There was a significant difference in disaster preparedness among officers from the urban and rural areas. The area size, location accessibility, the communication network and disaster detection and warning facilities could associate with the results. Research limitations/implications The respondents were selected from only two districts in Aceh Province, Indonesia, which are vulnerable to disasters. The study only identifies the disaster preparedness among disaster management agency officers (DMAOs) adopted from LIPI-UNESCO/ISDR about community preparedness in anticipating disasters particularly tsunami and earthquake. Therefore, the results of this study may have limited generalizability to other areas in Indonesia and beyond. Practical implications The results of this study could possibly serve as recommendations for policymakers and disaster management agencies, particularly in rural areas to prepare contingency plans that involve both internal and external institutions to arrange the regulations related to community-based emergency response plans and disaster early warning systems. Such programs of education, training and disaster drill needed to be in place and conducted regularly for the officers in a rural area. Finally, the other sub-scales showed no difference in disaster preparedness, however, collaboration and support to each other in disaster risk reduction plan by improving the capacity building, policy enhancement and disaster management guidelines are required. Also, attempts to optimize logistics adequacy, budget allocations and disaster preparedness education and training for both DMAOs are strongly recommended through the lens of the study. The results of the study might useful for further research that could be developed based on this current study. Originality/value The emergency response plans and disaster early warning systems were significantly different between the rural and urban officers in disaster preparedness. Attending disaster management programs, experiences in responding to disasters and the availability of facilities and funds could be considered in ascertaining the preparedness of officers to deal with disasters.

The CARE Telematics Network for the Surveillance of Influenza in Europe

1995 ◽  
Vol 34 (05) ◽  
pp. 518-522 ◽  
Author(s):  
M. Bensadon ◽  
A. Strauss ◽  
R. Snacken
Keyword(s):  
Public Health ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Surveillance Networks ◽  
Spanish Flu ◽  
The 1950S ◽  
National Networks ◽  
First Time

Abstract:Since the 1950s, national networks for the surveillance of influenza have been progressively implemented in several countries. New epidemiological arguments have triggered changes in order to increase the sensitivity of existent early warning systems and to strengthen the communications between European networks. The WHO project CARE Telematics, which collects clinical and virological data of nine national networks and sends useful information to public health administrations, is presented. From the results of the 1993-94 season, the benefits of the system are discussed. Though other telematics networks in this field already exist, it is the first time that virological data, absolutely essential for characterizing the type of an outbreak, are timely available by other countries. This argument will be decisive in case of occurrence of a new strain of virus (shift), such as the Spanish flu in 1918. Priorities are now to include other existing European surveillance networks.

Assessment of Food Security Early Warning Systems for East and Southern Africa

10.1596/29269 ◽  
2018 ◽  
Author(s):  
Ademola Braimoh ◽  
Bernard Manyena ◽  
Grace Obuya ◽  
Francis Muraya
Keyword(s):  
Food Security ◽  
Southern Africa ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems

A Residual Chlorine Removal Method to Allow Drinking Water Monitoring by Biological Early Warning Systems

2005 ◽  
Author(s):  
Willian H. VAN DER Schalie ◽  
David E. Trader ◽  
Mark W. Widder ◽  
Tommy R. Shedd ◽  
Linda M. Brennan
Keyword(s):  
Drinking Water ◽  
Early Warning ◽  
Early Warning Systems ◽  
Water Monitoring ◽  
Residual Chlorine ◽  
Warning Systems ◽  
Removal Method ◽  
Chlorine Removal
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