The Study on Public-Interest Short Message Service (SMS) in China during the COVID-19 Pandemic: Mobile User Survey and Content Analysis

Yu, Zhiyuan; Liu, Yanghongyun; Yu, Yan; Han, Hongju; Li, Yalin

doi:10.3390/ijerph18157915

Cited by 7 publications

(3 citation statements)

References 53 publications

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“…Similarly, the short message service (SMS) can timely provide abundant anti-epidemic alerts to mobile users. SMS tracking platforms could be useful as an early warning system to refer patients with worsening clinical status to hospital-based care or additional clinician advice [ 77 ]. Yu et al’s study showed a positive attitude towards content and the necessity of public-interest in SMS during the pandemic [ 77 ].…”

Section: Discussionmentioning

confidence: 99%

Covid-19 hotlines, helplines and call centers: a systematic review of characteristics, challenges and lessons learned

Eslami Jahromi,

Ayatollahi,

Ebrazeh

2024

BMC Public Health

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Background During the Covid-19 pandemic, a number of hotlines/helplines/call centers was implemented to provide remote services and support public health. The objective of this study was to investigate the characteristics, challenges and lessons learned of implementing Covid-19 hotlines/helplines/call centers during the pandemic. Methods PubMed, Web of Science, Scopus, the Cochrane Library, IEEE Xplore, and ProQuest databases as well as Google Scholar were searched between 1st January 2020 and 31st December 2023 to retrieve relevant articles published in English. The quality and risk of bias of the studies were assessed using the Appraisal tool for Cross-Sectional Studies (AXIS), the Mixed Methods Appraisal Tool (MMAT), and Critical Appraisal Skills Programme (CASP) Checklist. Results In total, 43 out of 1440 articles were included in this study. About half of the hotlines/helplines/call centers were launched in March 2020 (n = 19). Providing psychological support (n = 23), reliable information about Covid-19 (n = 10), healthcare advices about Covid-19 (n = 8), and triage (n = 7) were the most common purposes of implementing these services. The most common challenges included a lack of physical examination, unavailability of hotlines/helplines/call centers at the point of need, and delay in updating Covid-19 information. The most common lessons learned were employing qualified staff, providing proper training, and getting feedback from the callers and operators. Conclusion According to the results, most of the Covid-19 hotlines/helplines/call centers were launched in the early months of the pandemic, and about half of them were active seven days a week. Most of the operators were mental health providers and clinicians. The findings show the importance of continuous psychological support during crises, particularly when adequate information about the situation is not available. The challenges experienced by the callers and operators as well as the lessons learned by the service providers also need to be considered for future crises to increase the effectiveness of similar services.

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Section: Discussionmentioning

confidence: 99%

Covid-19 hotlines, helplines and call centers: a systematic review of characteristics, challenges and lessons learned

Eslami Jahromi,

Ayatollahi,

Ebrazeh

2024

BMC Public Health

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“…In the more distant future, the TI Messenger will probably also offer function for communicating with patients. In other countries, such as China, SMS already was tested during the COVID-19 pandemic as an information channel on health-related topics for the population [30]. This option could also be implemented in Germany via TI messaging but would require further research and place additional demands on the media skills of all involved.…”

Section: Further Implicationsmentioning

confidence: 99%

Use of Instant Messaging Software in a German Hospital—An Exploratory Investigation among Physicians

Sayegh-Jodehl

Mukowski-Kickhöfel

Linke

et al. 2022

IJERPH

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Internationally, evidence exists that physicians use instant messaging services for communication tasks in everyday clinical practice However, there are only few data on physicians in Germany in this regard. Therefore, at the initiation of our project “DocTalk-Dialog meets Chatbot: Collaborative Learning and Teaching in the Process of Work”, we conducted a stakeholder survey with an exploratory research approach. The aim was to gain initial insights into use of instant messaging software and attitudes towards data security and advantages and disadvantages before implementing a data-secure in-house messaging platform. N = 70 physicians at Charité-Universitätsmedizin Berlin completed an exploratory questionnaire with closed and open-ended questions. Quantitative data were analyzed using descriptive statistics and qualitative data using thematic analysis. The use of messenger software was not widespread in the sample studied. Physicians most frequently used face-to-face contact for communication. On average, up to ten instant messages were exchanged per day, mainly among colleagues, to answer mutual questions, and to send pictures. With a high awareness of privacy-related restrictions among participating physicians, advantages such as fast and uncomplicated communication were also highlighted. An instant messenger solution that complies with the German data protection guidelines is needed and should be investigated in more detail.

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“…It is the most commonly used service for data exchange in the world today. It has been determined that a number of 8.3 trillion SMSs have been sent overall and approximately 690 billion SMSs have been sent monthly across the world in recent years 1 .…”

Section: Introductionmentioning

confidence: 99%

SMS Spam Detection System Based on Deep Learning Architectures in Turkish and English Messages

Albayrak

Altunay

2023

Preprint

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SMS still continues its existence despite the emergence of different messaging services. It takes a part in our lives as a communication service to date. Companies use SMS for advertisement purposes due to the fact that e-mail filtering systems have rooted, short message systems are being undersold by the operators, and spam detection and blocking systems used for short messages are ineffective. Consequently, SMS has attracted the attention of those who send spam to mobile phone users. This article presents the proposal of a hybrid model with the aim of detecting SMS spam messages. This detection model uses GRU and CNN as two deep learning methods. The design for this model was laid out by using two different datasets containing combined text messages written in the Turkish and English languages. The testing process was performed on the dataset through benchmarking as well as other machine learning algorithms. It was revealed in the study that the hybrid CNN+GRU approach attained an accuracy of 99.12% by demonstrating a better performance compared to the other algorithms.

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The Study on Public-Interest Short Message Service (SMS) in China during the COVID-19 Pandemic: Mobile User Survey and Content Analysis

Cited by 7 publications

References 53 publications

Covid-19 hotlines, helplines and call centers: a systematic review of characteristics, challenges and lessons learned

Covid-19 hotlines, helplines and call centers: a systematic review of characteristics, challenges and lessons learned

Use of Instant Messaging Software in a German Hospital—An Exploratory Investigation among Physicians

SMS Spam Detection System Based on Deep Learning Architectures in Turkish and English Messages

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