scholarly journals Correction to: Disability assessment using Google Maps

2021 ◽  
Author(s):  
Luigi Lavorgna ◽  
Pietro Iaffaldano ◽  
Gianmarco Abbadessa ◽  
Roberta Lanzillo ◽  
Sabrina Esposito ◽  
...  
Keyword(s):  
Disability Assessment ◽  
Google Maps

scholarly journals Disability assessment using Google Maps

2021 ◽  
Author(s):  
Luigi Lavorgna ◽  
Pietro Iaffaldano ◽  
Gianmarco Abbadessa ◽  
Roberta Lanzillo ◽  
Sabrina Esposito ◽  
...  
Keyword(s):  
Disability Assessment ◽  
Google Maps

PERANCANGAN APLIKASI LOKASI TAMBAL BAN DI PONOROGO BERBASIS ANDROID

KOMPUTEK ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Irfan Khoirul Arifin ◽  
Aliyadi Aliyadi ◽  
Yovi Litanianda
Keyword(s):  
Location Based Service ◽  
Surrounding Area ◽  
Repair Shop ◽  
Google Maps ◽  
Information Media ◽  
Service Location

The number of vehicles in Indonesia continues to increase every year. This also happened in Ponorogo regency. It will also be directly proportional to the number of people who have problems with their vehicles, such as leaked tire quotes for being nailed or other causes. And will also increase the need for tire services. For motorists who are less aware of the surrounding area when experiencing damage to motorcycle tires, then of course to find a place nearest tire patch will be quite difficult. Therefore in this study developed information media for Android-based applications to map the locations - tire patch locations in Ponorogo, as well as looking for the closest tire patch with the rider. This app is a location-based service (location-based service) to the driver with the nearest patch of the banal location. Based on the results of testing this application can help users find the location of location preservation, tar bambal patch location, tire repair shop list, and tire repair shop list distance. This application can also show each other the location in accordance with the location of google maps applications. 

Test-Retest Reliability of the Thai Migraine Disability Assessment (Thai-MIDAS) Questionnaire in Thai Migraine Patients

2018 ◽  
Vol 14 (01) ◽  
pp. 10-15
Author(s):  
Kiratikorn Vongvaivanich ◽  
Thitaree Yongprawat ◽  
Nucharin Jindawong ◽  
Chakorn Chansakul
Keyword(s):  
Disability Assessment ◽  
Retest Reliability ◽  
Midas Questionnaire ◽  
Test Retest Reliability

scholarly journals Online Analytics for Shrimp Farm Management to Control Water Quality Parameters and Growth Performance

2021 ◽  
Vol 13 (11) ◽  
pp. 5839
Author(s):  
Siriwan Kajornkasirat ◽  
Jareeporn Ruangsri ◽  
Charuwan Sumat ◽  
Pete Intaramontri
Keyword(s):  
Water Quality ◽  
Growth Performance ◽  
Mobile Application ◽  
Database Management System ◽  
Quality Data ◽  
Analysis Tool ◽  
Quality Factors ◽  
Google Maps ◽  
Water Quality Data ◽  
Shrimp Farm

An online analytic service system was designed as a web and a mobile application for shrimp farmers and shrimp farm managers to manage the growth performance of shrimp. The MySQL database management system was used to manage the shrimp data. The Apache Web Server was used for contacting the shrimp database, and the web content displays were implemented with PHP script, JavaScript, and HTML5. Additionally, the program was linked with Google Charts to display data in various graphs, such as bar graphs and scatter diagrams, and Google Maps API was used to display water quality factors that are related to shrimp growth as spatial data. To test the system, field survey data from a shrimp farm in southern Thailand were used. Growth performance of shrimp and water quality data were collected from 13 earthen ponds in southern peninsular Thailand, located in the Surat Thani, Krabi, Phuket, and Satun provinces. The results show that the system allowed administrators to manage shrimp and farm data from the field sites. Both mobile and web applications were accessed by the users to manage the water quality factors and shrimp data. The system also provided the data analysis tool required to select a parameter from a list box and shows the association between water quality factors and shrimp data with a scatter diagram. Furthermore, the system generated a report of shrimp growth for the different farms with a line graph overlay on Google Maps™ in the data entry suite via mobile application. Online analytics for the growth performance of shrimp as provided by this system could be useful as decision support tools for effective shrimp farming.

scholarly journals Psychometric Properties and Validation of the Polish Version of the 12-Item World Health Organization Disability Assessment Schedule 2.0 in Patients with Huntington’s Disease

2021 ◽  
Vol 10 (5) ◽  
pp. 1053
Author(s):  
Agnieszka Ćwirlej-Sozańska ◽  
Bernard Sozański ◽  
Mateusz Kupczyk ◽  
Justyna Leszczak ◽  
Andrzej Kwolek ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Huntington's Disease ◽  
Psychometric Properties ◽  
Huntington’S Disease ◽  
Scale Score ◽  
World Health ◽  
Disability Assessment ◽  
Whodas 2.0 ◽  
Score Reliability

Background: Huntington’s disease is a progressive neurodegenerative disorder that usually manifests in adulthood and is inherited in an autosomal dominant manner. The main aim of the study was to assess the psychometric properties of the 12-item WHO Disability Assessment Schedule (WHODAS) 2.0 in studying the level of disability in people with Huntington’s disease. Method: This is a cross-sectional study that covered 128 people with Huntington’s disease living in Poland. We examined scale score reliability, internal consistency, convergent validity, and known-group validity. The disability and quality of life of people with Huntington’s disease were also assessed. Results: The scale score reliability of the entire tool for the research group was high. The Cronbach’s α test result for the whole scale was 0.97. Cronbach’s α for individual domains ranged from 0.95 to 0.79. Time consistency for the overall result was 0.99 and for particular domains ranged from 0.91 to 0.99, which confirmed that the scale was consistent over time. All of the 12-item WHODAS 2.0 domains negatively correlated with all of the Huntington Quality of Life Instrument (H-QoL-I) domains. All correlation coefficients were statistically significant at the level of p < 0.001. The results obtained in the linear regression model showed that with each subsequent point of decrease in BMI the level of disability increases by an average of 0.83 points on the 12-item WHODAS 2.0 scale. With each subsequent year of the disease, the level of disability increases by an average of 1.39 points. Conclusions: This is the first study assessing disability by means of the WHODAS 2.0 in the HD patient population in Poland, and it is also one of the few studies evaluating the validity of the WHODAS 2.0 scale in assessing the disability of people with HD in accordance with the recommendations of DSM-5 (R). We have confirmed that the 12-item WHODAS 2.0 is an effective tool for assessing disability and changes in functioning among people with Huntington’s disease.

scholarly journals “In cities, it’s not far, but it takes long”: comparing estimated and replicated travel times to reach life-saving obstetric care in Lagos, Nigeria

2021 ◽  
Vol 6 (1) ◽  
pp. e004318
Author(s):  
Aduragbemi Banke-Thomas ◽  
Kerry L M Wong ◽  
Francis Ifeanyi Ayomoh ◽  
Rokibat Olabisi Giwa-Ayedun ◽  
Lenka Benova
Keyword(s):  
Travel Time ◽  
Friction Surface ◽  
Obstetric Care ◽  
Travel Times ◽  
Night Time ◽  
Google Maps ◽  
Surface Approach ◽  
Low Resource ◽  
Life Saving ◽  
The Cost

BackgroundTravel time to comprehensive emergency obstetric care (CEmOC) facilities in low-resource settings is commonly estimated using modelling approaches. Our objective was to derive and compare estimates of travel time to reach CEmOC in an African megacity using models and web-based platforms against actual replication of travel.MethodsWe extracted data from patient files of all 732 pregnant women who presented in emergency in the four publicly owned tertiary CEmOC facilities in Lagos, Nigeria, between August 2018 and August 2019. For a systematically selected subsample of 385, we estimated travel time from their homes to the facility using the cost-friction surface approach, Open Source Routing Machine (OSRM) and Google Maps, and compared them to travel time by two independent drivers replicating women’s journeys. We estimated the percentage of women who reached the facilities within 60 and 120 min.ResultsThe median travel time for 385 women from the cost-friction surface approach, OSRM and Google Maps was 5, 11 and 40 min, respectively. The median actual drive time was 50–52 min. The mean errors were >45 min for the cost-friction surface approach and OSRM, and 14 min for Google Maps. The smallest differences between replicated and estimated travel times were seen for night-time journeys at weekends; largest errors were found for night-time journeys at weekdays and journeys above 120 min. Modelled estimates indicated that all participants were within 60 min of the destination CEmOC facility, yet journey replication showed that only 57% were, and 92% were within 120 min.ConclusionsExisting modelling methods underestimate actual travel time in low-resource megacities. Significant gaps in geographical access to life-saving health services like CEmOC must be urgently addressed, including in urban areas. Leveraging tools that generate ‘closer-to-reality’ estimates will be vital for service planning if universal health coverage targets are to be realised by 2030.

scholarly journals 3 Stars on Yelp, 4 Stars on Google Maps

2021 ◽  
Vol 4 (CSCW3) ◽  
pp. 1-25
Author(s):  
Hanlin Li ◽  
Brent Hecht
Keyword(s):  
Google Maps
Sign in / Sign up

Export Citation Format

Share Document