ABSTRACT
Due to the global epidemic situation of the Coronavirus Disease 2019 (Covid-19), in addition to serving patients with suspected symptoms and sickness from COVID-19, the hospital also provides services to patients outside requiring a lot of treatment causing a large number of queues in patients. It takes a long time to wait to see the doctor. The researcher therefore developed a teleconsultation platform. Hence, that patients can talk or seek advice from a doctor without the need to go to the hospital, allow patients to schedule appointments to see a doctor. Also, the patient can talk to the doctor via video calling developed in the system. Moreover, doctors can dispense medicines to patients by mail. To increase the efficiency of the system more and to support a wide range of applications, any devices, real-time data updates, appointment notification via chatbot using Cloud Firestore and Realtime Databases, a NoSQL database, and study the performance gained. The results obtained from the test were satisfactory, with an average tracing server response of 107 ms +0.14%, and an average handling latency in Thailand at 108 ms.
ABSTRACT
During the COVID-19 pandemic around the world, it is difficult to visit a doctor at the hospital. Many hospitals are trying to adapt to develop telemedicine systems to serve their patients. Hence the origin of this research as well is to develop a Telemedicine system to use Websocket and WebRTC have been applied to support video calling functionality in hopes of creating sessions to serve clients efficiently. This paper shows the results of the tests obtained when used in real-world applications on the internet which found that the results have been used network utility very efficiently. It averaged 1.86 Mbps for down link and averaged 1.66 Mbps for uplink bitrate, but still had high memory consumption. When compared to video calling active in the video conferencing system is still considered a waste of resources at 79% more than other systems. © 2023 IEEE.
ABSTRACT
Due to the global epidemic situation of the Coronavirus Disease 2019 (Covid-19), in addition to serving patients with suspected symptoms and sickness from COVID-19, the hospital also provides services to patients outside requiring a lot of treatment causing a large number of queues in patients. It takes a long time to wait to see the doctor. The researcher therefore developed a teleconsultation platform. Hence, that patients can talk or seek advice from a doctor without the need to go to the hospital, allow patients to schedule appointments to see a doctor. Also, the patient can talk to the doctor via video calling developed in the system. Moreover, doctors can dispense medicines to patients by mail. To increase the efficiency of the system more and to support a wide range of applications, any devices, real-Time data updates, appointment notification via chatbot using Cloud Firestore and Realtime Databases, a NoSQL database, and study the performance gained. The results obtained from the test were satisfactory, with an average tracing server response of 107 ms + 0.14%, and an average handling latency in Thailand at 108 ms. © 2022 IEEE.
ABSTRACT
OBJECTIVE: The aim of the manuscript was to measure the levels of psychological stress, both acute and post-traumatic in the Saudi Arabian population during the situation resulting from the COVID-19 outbreak. MATERIALS AND METHODS: A cross-sectional survey was carried out among people of Saudi Arabia (SA) to measure levels of psychological stress, both acute and post-traumatic during the COVID-19 outbreak. Data were collected from five regions in SA using validated questionnaires including Kessler Psychological Distress Scale (K10) and Impact of Events Scale (IES) through social media channels from March 2021 to January 2022. RESULTS: The total number of participants was 1,560. Most of participants (60.2%) were females. Around 53.6% of the sample were aged between 16-24 years old. The majority of participants (87.3%) was Saudi national. About 82% of participants was from Eastern (40.1%) and Western (42.2%) regions, followed by those from Central, Northern, and Southern. More than 60% of them had a college degree or above. The mean K 10 score was 28.33 for the sample which was above the cut-off of 25, implying significant levels of acute stress in the sample. IES values showed a mean of 28.19, well above the cut-off of significant Post Traumatic Stress Disorder (PTSD) symptoms (24). K-10 and IES scores revealed that about 76.7% of the participants suffered from significant acute stress and 59.1% suffered from symptoms of PTSD during the COVID-19 era. CONCLUSIONS: The nationwide study emphasizes the fact that the Saudi population was found to be extremely stressed and traumatized during the COVID-19 pandemic era and calls for effective.