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The presented DepApp is an application that provides information about the intensity, time and whereabouts of a recent earthquake. In addition, the presented application is a mobile application that contains emergency phone numbers and can provide general information about an earthquake which people can benefit from before and after the earthquake....
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Context 1
... considered pages are given in Figure 5. In the presented application, when you click on one of the earthquake information lines, the location of the earthquake is shown on the map as illustrated in Figure 6. With the InkWell widget which is created after the provided data transfer, the location of the last earthquake is displayed on Google Maps ...
Citations
... The DepApp smartphone application was created by [26] and offers details about the location, magnitude, and timing of a recent earthquake. Additionally, users can benefit both before and after an earthquake by using the general information about earthquakes provided by this app. ...
New digital technology trends have the potential to mitigate the effects of earthquakes and improve response and recovery efforts such as earthquake prediction, emergency call-out, and earthquake location notification. Earthquake readiness makes it necessary to have a digitally prepared society. However, no scale has been found in the literature that can measure the digital attitudes and skills of individuals regarding earthquakes. For this reason, to fill this gap in the literature, this descriptive research study aimed to develop an original, valid, and reliable scale to determine the digital readiness of individuals toward earthquakes. Data were collected from 621 adult individuals with different socioeconomic characteristics using the convenience sampling method. An item pool was created through a comprehensive literature review, followed by a series of analyses encompassing content validity, construct validity, convergent validity, discriminant validity, criterion-related validity, reliability analysis, and item analysis in the course of the scale’s development process. For the digital readiness toward earthquakes, the Draft scale, with 21 items remaining, a KMO value (0.894), and a Bartlett sphericity test result of χ2 (91) = 2407.76 (p < 0.001) showed the suitability of the data for exploratory factor analysis (EFA). As a result of the EFA, 14 items were categorized into two dimensions based on whether their eigenvalues exceeded 1. The explained variance was 46.823% (eigenvalue = 6.555) in the first factor, while it was 12.832% (eigenvalue = 1.796) in the second factor, and the total variance was 59.655%. After analyzing the scale’s items within these dimensions, the first dimension was named “Technological Skills”, comprising eight items, and the second dimensions was named “Digital Attitudes”, consisting of six items. The factor loadings for these items ranged from 0.562 to 0.900. Confirmatory factor analysis (CFA) affirmed the factorial structure identified by the EFA. For the five-point Likert-type Digital Readiness toward Earthquakes scale, named the DRE scale, with 14 items after validity analyses, Cronbach’s alpha value was obtained as 0.910, demonstrating high internal consistency. Cronbach’s alpha values of the two factors were 0.910 for the “Technological Skills” dimension and 0.837 for the “Digital Attitudes” dimension. It was concluded that the developed scale is a valid and reliable measurement in evaluating the digital readiness of individuals toward earthquakes.
... Earthquake is a part of life since it is a natural event (He, Zhuang, Deng, & Xu, 2023;Kirci, Arslan, & Dincer, 2023). However, some earthquakes have created great disasters, like the Turkiye big earthquake (06/02/2023). ...
... Among them, Li et al. [1] discussed mobile emergency material distribution and mobile emergency facility location settings. Kirci et al. [2] developed mobile applications to collect information before and after an earthquake. Cicek and Kantarci [3] provide a systematic review of mobile swarm intelligence techniques for disaster management. ...
Mobile emergency services are better able to meet the needs of frequent public emergencies; however, their data quality problems seriously affect decision-making. In order to reduce the interference of low-quality data and solve the problem of data quality ambiguity, this paper first summarizes the five characteristics of mobile emergency big data. Second, based on the characteristics of mobile emergency big data, four data quality dimensions are defined with reference to existing research and national standards and combined with the measure of medium truth degree to give single-dimension and multi-dimension data quality truth degree measure models. Finally, a subjective-objective, qualitative-quantitative mobile emergency big data quality evaluation method based on the measure of medium truth degree is formed. The validity and practicality of the method are also verified by examples of algorithmic analysis of fire text datasets from Australian mountain fire data and the Chinese Emergency Incident Corpus. The experiments show that the method can realize quantitative mobile emergency big data quality assessment, solve the problem of data quality ambiguity, and reduce the interference of low-quality data, so as to save resources and improve the analysis and decision-making ability.
... For instance, currently, the digital dashboard is set up to send urgent alerts both with PWA and text alerts to inform citizens of all emergencies. This direct and rapid communication is critical for managing evolving risks that can range from pandemics and floods to forest fires and earthquakes [63,64]. ...
Background:
The COVID-19 pandemic has reiterated the need for cohesive, collective, and deliberate societal efforts to address inherent inefficiencies in our health systems and overcome decision-making gaps using real-time data analytics. To achieve this, decision makers need independent and secure digital health platforms that engage citizens ethically to obtain big data, analyze and convert big data into real-time evidence, and finally, visualize this evidence to inform rapid decision-making.
Objective:
The objective of this study is to develop replicable and scalable jurisdiction-specific digital health dashboards for rapid decision-making to ethically monitor, mitigate, and manage public health crises via systems integration beyond health care.
Methods:
The primary approach in the development of the digital health dashboard was the use of global digital citizen science to tackle pandemics like COVID-19. The first step in the development process was to establish an 8-member Citizen Scientist Advisory Council via Digital Epidemiology and Population Health Laboratory’s community partnerships. Based on the consultation with the council, three critical needs of citizens were prioritized: (1) management of household risk of COVID-19, (2) facilitation of food security, and (3) understanding citizen accessibility of public services. Thereafter, a progressive web application (PWA) was developed to provide daily services that address these needs. The big data generated from citizen access to these PWA services are set up to be anonymized, aggregated, and linked to the digital health dashboard for decision-making, that is, the dashboard displays anonymized and aggregated data obtained from citizen devices via the PWA. The digital health dashboard and the PWA are hosted on the Amazon Elastic Compute Cloud server. The digital health dashboard’s interactive statistical navigation was designed using the Microsoft Power Business Intelligence tool, which creates a secure connection with the Amazon Relational Database server to regularly update the visualization of jurisdiction-specific, anonymized, and aggregated data.
Results:
The development process resulted in a replicable and scalable digital health dashboard for decision-making. The big data relayed to the dashboard in real time reflect usage of the PWA that provides households the ability to manage their risk of COVID-19, request food when in need, and report difficulties and issues in accessing public services. The dashboard also provides (1) delegated community alert system to manage risks in real time, (2) bidirectional engagement system that allows decision makers to respond to citizen queries, and (3) delegated access that provides enhanced dashboard security.
Conclusions:
Digital health dashboards for decision-making can transform public health policy by prioritizing the needs of citizens as well as decision makers to enable rapid decision-making. Digital health dashboards provide decision makers the ability to directly communicate with citizens to mitigate and manage existing and emerging public health crises, a paradigm-changing approach, that is, inverting innovation by prioritizing community needs, and advancing digital health for equity.
... For instance, currently, the digital dashboard is set up to send urgent alerts both within PWA as well as text alerts to inform citizens of all emergencies. This direct and rapid communication is critical for managing evolving risks that can range from pandemics and floods to forest fires and earthquakes [68,69]. ...
BACKGROUND
The timely accessibility of big data that are readily usable by decision-makers can transform decision-making processes across health systems.
OBJECTIVE
This study enumerates the development of replicable and scalable jurisdiction-specific digital health dashboards for rapid decision-making to ethically monitor, mitigate, and manage public health crises via systems integration i.e., going beyond health systems.
METHODS
The primary approach in the development of the digital health dashboard was the utilization of global digital citizen science to tackle pandemics like COVID-19. The first step in the development process was to establish a Citizen Scientist Advisory Council via Digital Epidemiology and Population Health Laboratory’s community partnerships. Based on the consultation with the Council, three critical needs of citizens were prioritized: 1) management of household risk of COVID-19, 2) facilitation of food security, 3) understanding citizen accessibility of public services. Thereafter, a progressive web application (PWA) was developed to provide daily services that address these needs. The big data generated from citizen access of these services is set up to be anonymized, aggregated, and linked to the digital health dashboard for decision-making i.e., the dashboard displays anonymized and aggregated data obtained from citizen devices via the PWA. The data flow begins with citizens’ interaction with the services on the PWA, with data in transit being encrypted and protected with Cloudflare server ECDHE-RSA-AES128-GCM SHA256, and stored on Amazon Relational Database cloud servers. The digital health dashboard and the PWA are both hosted on the Amazon Elastic Compute Cloud server. The PWA is coded using Flutter Framework, whereas the digital health dashboard is coded using Hypertext Preprocessor scripting programming language. The digital health dashboard’s interactive statistical navigation was designed using Microsoft Power Business Intelligence visualization tool, which creates a secure connection with Amazon Relational Database server to regularly update visualization of jurisdiction-specific, anonymized, and aggregated data.
RESULTS
At the end of the development process, a dynamic digital health dashboard for decision-making was created to meet the needs identified by the Citizen Scientists Advisory Council. This digital health dashboard displays community health risks, as well as citizen needs in near real-time to facilitate rapid decision-making using jurisdiction-specific big data. More importantly, the key decision-makers who have secure access to the dashboard, can send delegated alerts (urgent vs. non-urgent) to the citizens within their jurisdiction to manage potential risks in near real-time.
CONCLUSIONS
Digital health dashboards for decision-making can transform public health policy by prioritizing the needs of citizens as well as decision-makers to enable rapid-decision-making. Digital health dashboards also provide decision-makers the ability to directly communicate with citizens to mitigate and manage existing and emerging public health crises, a paradigm changing approach i.e., inverting innovation by prioritizing community needs, and advancing digital health for equity.
CLINICALTRIAL
N/A
... For instance, currently, the digital dashboard is set up to send urgent alerts both with PWA and text alerts to inform citizens of all emergencies. This direct and rapid communication is critical for managing evolving risks that can range from pandemics and floods to forest fires and earthquakes [63,64]. ...
Introduction:
The variation of coronavirus disease (COVID-19) outbreaks across rural and remote jurisdictions makes it imperative to invest in scalable digital health platforms to not only minimize the impact of subsequent COVID-19 outbreaks, but also to utilize such approaches to predict and prevent future communicable and non-communicable diseases.
Methods:
The methodology of the digital health platform comprised: (1) Ethical Real-Time Surveillance to Monitor Risk: evidence-based artificial intelligence-driven individual and community risk assessment of COVID-19 by engaging citizens using their own smartphones; (2) Citizen Empowerment and Data Ownership: active engagement of citizens using smartphone application (app) features, while enabling data ownership; and (3) Privacy: development of algorithms that store sensitive data directly on mobile devices.
Results:
The result is a community-engaged, innovative, and scalable digital health platform, with three key features: (1) Prevention: this feature is based on risky and healthy behaviours, and has the sophistication to continuously engage citizens; (2) Public Health Communication: based on their risk profile and behaviour, citizens receive specific public health communication that helps them make informed decisions; and (3) Precision Medicine: risk assessment and behaviour modification is individualized so that the frequency, type, and intensity of engagement is based on individual risk profile.
Discussion:
This digital health platform enables the decentralization of digital technology to effect systems-level changes. With more than 6 billion smartphone subscriptions globally, digital health platforms enable direct engagement with large populations in near real-time to monitor, mitigate, and manage public health crises, particularly in rural communities that do not have equitable access to health services.
With the rapid development of education informatization, online education resources are growing explosively. In order to avoid the waste of resources and enable piano playing and singing learners to accurately and quickly find the mobile teaching resources courses they are interested in the massive resources, this paper proposes a precise recommendation method of personalized piano playing and singing mobile teaching resources based on collaborative filtering algorithm. Through the context awareness method, we can obtain the demand information of learners in real time, store it in the database, and calculate the degree of interest of piano playing and singing learners on this basis. Based on the collaborative filtering algorithm, we can constantly optimize the accuracy of the algorithm through the analysis of the degree of interest of learners and other information, accurately recommend learning resources for piano playing and singing, and improve the learning effect and interests of learners. The experimental results show that the proposed method has achieved good application results in practice, and has certain reference and guidance value for enhancing the learning interest of piano playing and singing learners and cultivating autonomous learning ability.
Son zamanlarda ülkemizde ardışık olarak meydana gelen deprem ve sel felaketleri sonrasında, kurtarma operasyonlarındaki planlama ve insanların yardım çığlıklarını sosyal medyada yaymaya çalışması gibi çeşitli ihtiyaçlar ortaya çıkmıştır. İnsanları bilgilendirebilecek, kolay erişilebilir, kullanıcı dostu ara yüze sahip ve tüm ihtiyaç duyulan bilgilerin bir arada olabildiği uygulamalara artan bir ihtiyaç vardır. Bu adımda yapılacak her çalışmanın önemli olduğu söylenebilir. Bu amaçla bu çalışmada doğal afetler hakkında bilgi veren, öncesinde yapılması gerekenleri açıklayan ve doğal afet durumunda ilgili yerlere ve hizmetlere kolay erişim sağlama yolu gösteren bir mobil uygulama örneği geliştirilmiştir.
