scholarly journals MEWAR: Development of a Cross-Platform Mobile Application and Web Dashboard System for Real-Time Mosquito Surveillance in Northeast Brazil

2021 ◽  
Vol 9 ◽  
Author(s):  
Aisha Aldosery ◽  
Anwar Musah ◽  
Georgiana Birjovanu ◽  
Giselle Moreno ◽  
Andrei Boscor ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Data Collection ◽  
Real Time ◽  
Mobile Application ◽  
Health Workers ◽  
Critical Role ◽  
Analytical Models ◽  
Environmental Surveillance ◽  
Mosquito Surveillance ◽  
Cross Platform

Mosquito surveillance is a crucial process for understanding the population dynamics of mosquitoes, as well as implementing interventional programs for controlling and preventing the spread of mosquito-borne diseases. Environmental surveillance agents who performing routine entomological surveys at properties in areas where mosquito-borne diseases are endemic play a critical role in vector surveillance by searching and destroying mosquito hotspots as well as collate information on locations with increased infestation. Currently, the process of recording information on paper-based forms is time-consuming and painstaking due to manual effort. The introduction of mobile surveillance applications will therefore improve the process of data collection, timely reporting, and field worker performance. Digital-based surveillance is critical in reporting real-time data; indeed, the real-time capture of data with phones could be used for predictive analytical models to predict mosquito population dynamics, enabling early warning detection of hotspots and thus alerting fieldworker agents into immediate action. This paper describes the development of a cross-platform digital system for improving mosquito surveillance in Brazil. It comprises of two components: a dashboard for managers and a mobile application for health agents. The former enables managers to assign properties to health workers who then survey them for mosquitoes and to monitor the progress of inspection visits in real-time. The latter, which is primarily designed as a data collection tool, enables the environmental surveillance agents to act on their assigned tasks of recording the details of the properties at inspections by filling out digital forms built into the mobile application, as well as details relating to mosquito infestation. The system presented in this paper was co-developed with significant input with environmental agents in two Brazilian cities where it is currently being piloted.

Leveraging Polio GIS platforms in the African Region for mitigating Covid-19 contact tracing challenges (Preprint)

2020 ◽  
Author(s):  
Godwin Ubong Akpan ◽  
Isah Mohammed Bello ◽  
Kebba Touray ◽  
Reuben Ngofa ◽  
Daniel Oyaole ◽  
...  
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Critical Role ◽  
Open Data ◽  
Contact Tracing ◽  
Quality Data ◽  
Time Data ◽  
Outbreak Response ◽  
African Region ◽  
Health Crisis

BACKGROUND The growth of the novel coronavirus 2019 (COVID-19) pandemic in Africa is an urgent public health crisis. Estimated models project over 150,000 deaths and 4,600,000 hospitalizations in the first year of disease in the absence of adequate interventions. Electronic contact tracing, therefore, offers a critical role in decreasing COVID-19 transmission; yet if not conducted properly can rapidly become a bottleneck for synchronized data collection, case detection, and case management. While the continent is currently reporting relatively low COVID-19 cases, digitized contact tracing mechanisms are necessary for standardizing real-time reporting of new chains of infection to quickly reverse growing trends and halt the pandemic. OBJECTIVE The aim of this study is describing an effective contact tracing smartphone app developed with expertise and experience gained from the numerous digital apps that the Polio programme has used to successfully support disease surveillance and immunization assessment in the African Region. A secondary objective is to describe how we leveraged Polio GIS resources to enhance existing contact tracing solutions to be more efficient through the connection to real-time data visualization platforms. METHODS We propose the use of a hybrid Open Data Kit (ODK) electronic COVID-19 contact registra- tion form that automates contacts and follow-ups. A proof-of-concept form on ODK has been developed that integrates collected contact tracing information from multiple platforms to generate an interactive regional dashboard to monitor the COVID-19 response. Analytics outputs extrapolate key outbreak response indi- cators such as timeliness, completeness and outcomes of contact tracing including new positive cases. This system allows multiple outbreak outputs to be monitored including sources of new infection for immediate response with minimal disruption to existing contact tracing tools. RESULTS Standardized electronic registration of COVID-19 contacts and follow-up using ODK has en- hanced monitoring of contact tracing. Countries and communities have increased their capacity to track COVID-19 cases and contacts in the general population quickly based on the onset of signs or symptoms. Registered contacts for contact tracing are matched to their respective cases more efficiently and for con- tacts that can engage in self-reporting, the anonymity of self-reporting. The country-specific results suggest that higher adoption rates of the tools may result in better quality data on the pandemic and elicited better decisions for a response. CONCLUSIONS Our proposed contact tracing solution which uses ODK based tools on smartphones and visualization bridge systems presents a scalable and easy to implement solution, that collects and aggregates good quality contact data with geographic information that can help make spatial based decisions and preserves privacy while demonstrating the potential to help make better decisions in response to an epidemic or pandemic outbreak. This application has been applied to the current COVID-19 pandemic and can also be used for other epidemics or pandemics in the future, to achieve quality data collection for better decision making.

scholarly journals CAPTURING THE LUMINOUS ENVIRONMENT IN HOSPITAL ROOMS: AN OVERVIEW OF OCCUPANT-CENTERED METHODS TO INFORM DESIGN PRACTICE

2021 ◽  
Author(s):  
V. Garcia-Hansen ◽  
F. Rodriguez ◽  
R. Ong
Keyword(s):  
Data Collection ◽  
Health Workers ◽  
Critical Role ◽  
Self Report ◽  
Mixed Data ◽  
Complex Environments ◽  
Design Strategies ◽  
Lighting Conditions ◽  
Quality Of Patient Care ◽  
Approaches To Study

Hospitals are complex environments having to balance out contradictory requirements from patients and health workers. Despite evidence demonstrating the critical role of the hospital’s luminous environment in responding to occupants’ requirements and needs, and the importance of engaging with the patient experience to improve the quality of patient care, to date, no studies have articulated approaches to study conflicting occupants’ needs for lighting in context. This paper presents a semi-systematic literature review of disciplinary approaches to investigate quality lighting conditions in hospitals and subjective impressions of occupants. Research articles from the clinical, built environment, and lighting fields were selected and evaluated. The review outlined appropriate physical (i.e., photometric) and self-report (e.g., preferences) approaches for data collection in context and potential articulations between them. Mixed data collection and data analysis techniques are deemed essential to articulate lighting design strategies engaging with the requirements of hospital occupants on a 24-hour basis.

Spatial Temporal Tracking of Landslide Events: A Crowdsourced Mobile App

2021 ◽  
Author(s):  
Maneesha Vinodini Ramesh ◽  
Ramesh Guntha ◽  
Christian Arnhardt ◽  
Gargi Singh ◽  
Viswanathan Kr ◽  
...  
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Disaster Management ◽  
Mobile Application ◽  
Mobile App ◽  
Event Data ◽  
Time Data ◽  
Landslide Event ◽  
Real Time Data ◽  
Landslide Data

<p>Monsoons are characterised by the widespread occurrence of  landslides. Tracking each landslide event, developing early warning thresholds, understanding triggers, and initiating disaster rescue and relief efforts are complex for researchers and administration. The ever increasing landslides demand real-time data collection of events to enhance disaster management. In this work we designed and developed a dedicated crowd sourced mobile application, for systematic way of collection, validation, summarization, and dissemination of landslide data in real-time. This unique design of mobile app uses a scalable real-time data collection methodology for tracking landslide events through citizen science, and is available on Google Play Store for free, and at http://landslides.amrita.edu, with software conceived and developed by Amrita University in the context of the UK NERC/FCDO funded LANDSLIP research project (http://www.landslip.org/). This work implemented a structured database that integrates heterogeneous data such as text, numerical, GPS location, landmarks, and images. This methodology enables real-time tracking of landslides utilizing the details such as GPS location, date & time of occurrence, images, type, material, size, impact, area, geology, geomorphology, and comments in real-time. The mobile application has been uniquely designed to avoid missing landslide events and to handle the tradeoff between real-time spatial data collection without compromising the reliability of the data.  To achieve this a multi level user account was created based on their expert levels such as Tracker, Investigator, Expert.  A basic tracking form is presented for the Tracker level, and an extensive form is presented to the Expert level. The reliability of landslide data enhances as the user level increases from Tracker to Expert. Unique UI designs have been utilized to capture, and track the events. The tracking interface is divided into multiple screens; the main screen captures the landslide location through GPS enabled map interface and captures the date/time of the occurrence. Three additional screens capture images, additional details and comments. The 40 questions for landslide event collection used by the Geological Survey of India has been adapted through the collaborative effort of LANDSLIP partners to collect the additional details. The submitted landslides are immediately available for all users to view. The User can view entered landslides through the landslide image listing, Google maps interface, or tabular listing. The landslides can be filtered by date/time and other parameters. The mobile app is designed to be intuitive and fast, and aims to increase awareness about landslide risk through the integrated short documents, and videos. It has guidelines for safety, capturing images, mapping, and choosing the data from the multiple options. The uniqueness of the proposed methodology is that it enhances community participation, integrates event data collection, event data organizing, spatial and temporal summarization, and validation of landslide events and the impact. It pinpoints, maps and alerts real-time landslide events to initiate right disaster management activities to reduce the risk level. The Landslide tracker app was released during the 2020 monsoon season, and more than 250 landslides were recorded through the app.</p>

scholarly journals Design and Development of the CTAR All-Star

10.29007/h37n ◽  
2019 ◽  
Author(s):  
Terri Heglar ◽  
Andrew Penrose ◽  
Austin Yount ◽  
Kristine Galek ◽  
Yantao Shen ◽  
...  
Keyword(s):  
Real Time ◽  
Mobile Device ◽  
Pressure Sensor ◽  
Mobile Application ◽  
Future Research ◽  
Objective Data ◽  
Chin Tuck ◽  
Time Graph ◽  
Cross Platform ◽  
Over Time

The CTAR All-Star is a system consisting of a rubber ball, a pressure sensor, and a bluetooth transmitter paired with a cross-platform mobile application. The device is used as a rehabilitation tool for people with dysphagia in a similar fashion to the traditional chin tuck against resistance (CTAR) exercise by squeezing a ball between the chin and upper chest. The mobile device monitors and displays the pressure inside the ball on a real-time graph allowing the patient to follow exercise routines set by Speech-Language Pathologists. Additionally, the application stores exercise data that can be used to both monitor the patient's progress over time and provide objective data for future research purposes.

scholarly journals COVID-19 India Tracker Application using Flutter

2021 ◽  
Vol 7 (01) ◽  
pp. 10-15
Author(s):  
Sanju Kumar Sahu M.L. Sharma and Krishna Chandra Tripathi
Keyword(s):  
Real Time ◽  
Mobile Technology ◽  
Mobile Application ◽  
Human Life ◽  
Public Awareness ◽  
The Novel ◽  
Human Race ◽  
Cross Platform ◽  
Novel Coronavirus ◽  
Digital Protection

Nowadays, COVID-19 is the biggest impediment for the survival of the human race. Again, as mobile technology is now an important component of human life, hence it is possible to use the power of mobile technology against the treat of COVID-19. Every nation is now trying to deploy an interactive platform for creating public awareness and share the important information related to COVID-19. Keeping all of these in mind, authors have deployed an interactive cross-platform (web/mobile) application INDIA COVID-19 TRACKER for the ease of the users, especially in India. This dashboard is featured with all the real-time attributes about the novel coronavirus disease and its measures and controls. The system purposely aims to maintain the digital protection of the society, create public awareness, and not create any agitation situation among the individuals of the society.

Mobile Application Development and Testing for Work Zone Activity Real-Time Data Collection

2020 ◽  
Vol 2674 (6) ◽  
pp. 351-362
Author(s):  
Farzaneh Azadi ◽  
Yaw Adu-Gyamfi ◽  
Carlos Sun ◽  
Praveen Edara
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Mobile Application ◽  
The United States ◽  
Mobile App ◽  
Work Zone ◽  
Work Zones ◽  
Time Data ◽  
Application Development ◽  
User Friendliness

Work zones are prevalent in the United States as the infrastructure is increasingly in need of maintenance. Lack of reliable data is one of the main obstacles in work zone research. Reliability suffers because of underreporting of crashes and inclusion in the analysis of irrelevant activities that are not attributable to work zones. In addition, the work zone environment is very dynamic, resulting in differing reasons for crashes. These are barriers to gaining an accurate understanding of safety in work zones. The objective of this paper is to design, develop, and deploy a mobile application (app) for real-time work zone data collection to address these issues. The development process consisted of the following steps. First, a user interface was designed to enable users to collect various work zone activity information. Second, taking advantage of recent advances in cloud computing, a real-time database was designed for efficient storage and instantaneous communication of work zone activity data. Field tests were then conducted at 13 work zone sites in Columbia, Missouri. Finally, the performance of the app was evaluated based on scalability, precision, and user friendliness. The app was able to respond to queries at real-time speeds even as the size of the database and the number of users increased. The precision of sensors was within appreciable accuracy for the geolocation. The app’s user friendliness was acknowledged by the users. The successful deployment of this mobile app would lead to accurate work zone data which is very useful for work zone management, traveler information, contract monitoring, safety analysis, and project coordination.

Enhancing Clinical Supervision Using High-Definition Real-Time Digital Recording, Annotation, and Bluetooth Technology

2019 ◽  
Vol 4 (2) ◽  
pp. 356-362
Author(s):  
Jennifer W. Means ◽  
Casey McCaffrey
Keyword(s):  
Graduate Students ◽  
Data Collection ◽  
Real Time ◽  
Clinical Supervision ◽  
Video Recording ◽  
Advanced Technology ◽  
High Definition ◽  
Recording Technology ◽  
Self Confidence ◽  
Additional Data Collection

Purpose The use of real-time recording technology for clinical instruction allows student clinicians to more easily collect data, self-reflect, and move toward independence as supervisors continue to provide continuation of supportive methods. This article discusses how the use of high-definition real-time recording, Bluetooth technology, and embedded annotation may enhance the supervisory process. It also reports results of graduate students' perception of the benefits and satisfaction with the types of technology used. Method Survey data were collected from graduate students about their use and perceived benefits of advanced technology to support supervision during their 1st clinical experience. Results Survey results indicate that students found the use of their video recordings useful for self-evaluation, data collection, and therapy preparation. The students also perceived an increase in self-confidence through the use of the Bluetooth headsets as their supervisors could provide guidance and encouragement without interrupting the flow of their therapy sessions by entering the room to redirect them. Conclusions The use of video recording technology can provide opportunities for students to review: videos of prospective clients they will be treating, their treatment videos for self-assessment purposes, and for additional data collection. Bluetooth technology provides immediate communication between the clinical educator and the student. Students reported that the result of that communication can improve their self-confidence, perceived performance, and subsequent shift toward independence.

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